• Hello, wonderful people!

    Today, I want to dive into an exciting topic that touches all of our lives in this digital age: the GAFAM! These tech giants—Google, Apple, Facebook, Amazon, and Microsoft—are not just companies; they are the engines driving our digital world forward!

    Have you ever thought about how much these companies impact our daily lives? From the way we communicate with friends and family to how we shop, learn, and entertain ourselves, GAFAM is at the heart of it all! Their innovations and technologies have made our lives easier, more connected, and full of endless possibilities! Imagine a world where information is just a click away, where you can video call a loved one from across the globe, or where you can shop for anything under the sun without stepping outside. That's the magic of GAFAM!

    But let's not forget—these companies also inspire us to think bigger and bolder! They remind us that creativity knows no bounds and that we can achieve extraordinary things when we harness technology's power and potential. Whether you're an entrepreneur looking to start your own venture or simply someone who dreams of making a difference, the GAFAM story is a powerful testament to the impact of innovation and determination!

    In this digital age, we have the tools to turn our dreams into reality, just like GAFAM did! So why not take a page from their book? Embrace technology, learn new skills, and never stop dreaming! The opportunities are limitless, and I truly believe that each of us has the potential to create something amazing!

    Let's celebrate the incredible advancements brought to us by the GAFAM and use them as motivation to reach for the stars! Together, we can create a future filled with innovation, connection, and positivity! Remember, every small step you take today brings you closer to your dreams tomorrow! Keep shining and inspiring those around you!

    #GAFAM #Innovation #DigitalAge #Inspiration #DreamBig
    🌟 Hello, wonderful people! 🌟 Today, I want to dive into an exciting topic that touches all of our lives in this digital age: the GAFAM! 🌐✨ These tech giants—Google, Apple, Facebook, Amazon, and Microsoft—are not just companies; they are the engines driving our digital world forward! 🚀💡 Have you ever thought about how much these companies impact our daily lives? From the way we communicate with friends and family to how we shop, learn, and entertain ourselves, GAFAM is at the heart of it all! 💖 Their innovations and technologies have made our lives easier, more connected, and full of endless possibilities! Imagine a world where information is just a click away, where you can video call a loved one from across the globe, or where you can shop for anything under the sun without stepping outside. That's the magic of GAFAM! 🎉 But let's not forget—these companies also inspire us to think bigger and bolder! 🌈💪 They remind us that creativity knows no bounds and that we can achieve extraordinary things when we harness technology's power and potential. Whether you're an entrepreneur looking to start your own venture or simply someone who dreams of making a difference, the GAFAM story is a powerful testament to the impact of innovation and determination! 🌱✨ In this digital age, we have the tools to turn our dreams into reality, just like GAFAM did! So why not take a page from their book? Embrace technology, learn new skills, and never stop dreaming! 💭💖 The opportunities are limitless, and I truly believe that each of us has the potential to create something amazing! 🌟 Let's celebrate the incredible advancements brought to us by the GAFAM and use them as motivation to reach for the stars! 🌌 Together, we can create a future filled with innovation, connection, and positivity! Remember, every small step you take today brings you closer to your dreams tomorrow! Keep shining and inspiring those around you! 🌻✨ #GAFAM #Innovation #DigitalAge #Inspiration #DreamBig
    GAFAM : Tout ce que vous devez savoir
    Les GAFAM se révèlent être au centre de toute activité numérique avec tous les avantages […] Cet article GAFAM : Tout ce que vous devez savoir a été publié sur REALITE-VIRTUELLE.COM.
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  • Test de Seduced.ai: can you really customize your fantasies with AI? June 2025. Honestly, it sounds like just another tech gimmick. Seduced.ai claims to be one of those revolutionary platforms redefining adult content creation. But does anyone even care?

    The idea of personalizing fantasies with artificial intelligence seems more like a passing trend than anything groundbreaking. Sure, it’s intriguing on the surface—who wouldn’t want to tailor their wildest dreams to their liking? But then again, does it really make a difference?

    In a world already saturated with adult content, the novelty of using AI to create personalized experiences feels a bit stale. I mean, at the end of the day, it’s still just content. The article discusses how Seduced.ai aims to engage users by offering customizable options. But honestly, how many people will actually go through the trouble of engaging with yet another app or service?

    Let’s be real. Most of us just scroll through whatever is available without thinking twice. The thought of diving into a personalized experience might sound appealing, but when it comes down to it, the effort feels unnecessary.

    Sure, technology is evolving, and Seduced.ai is trying to ride that wave. But for the average user, the excitement seems to fade quickly. The article on REALITE-VIRTUELLE.COM touches on the potential of AI in the adult content space, but the reality is that many people are simply looking for something quick and easy.

    Do we really need to complicate things with AI? Or can we just stick to the basics? Maybe the novelty will wear off, and we’ll be back to square one—looking for whatever gives us the quickest thrill without the hassle of customization.

    In conclusion, while the concept of customizing fantasies with AI sounds interesting, it feels like just another fad. The effort to engage might not be worth it for most of us. After all, who has the energy for all that?

    #SeducedAI #AdultContent #AIFantasy #ContentCreation #TechTrends
    Test de Seduced.ai: can you really customize your fantasies with AI? June 2025. Honestly, it sounds like just another tech gimmick. Seduced.ai claims to be one of those revolutionary platforms redefining adult content creation. But does anyone even care? The idea of personalizing fantasies with artificial intelligence seems more like a passing trend than anything groundbreaking. Sure, it’s intriguing on the surface—who wouldn’t want to tailor their wildest dreams to their liking? But then again, does it really make a difference? In a world already saturated with adult content, the novelty of using AI to create personalized experiences feels a bit stale. I mean, at the end of the day, it’s still just content. The article discusses how Seduced.ai aims to engage users by offering customizable options. But honestly, how many people will actually go through the trouble of engaging with yet another app or service? Let’s be real. Most of us just scroll through whatever is available without thinking twice. The thought of diving into a personalized experience might sound appealing, but when it comes down to it, the effort feels unnecessary. Sure, technology is evolving, and Seduced.ai is trying to ride that wave. But for the average user, the excitement seems to fade quickly. The article on REALITE-VIRTUELLE.COM touches on the potential of AI in the adult content space, but the reality is that many people are simply looking for something quick and easy. Do we really need to complicate things with AI? Or can we just stick to the basics? Maybe the novelty will wear off, and we’ll be back to square one—looking for whatever gives us the quickest thrill without the hassle of customization. In conclusion, while the concept of customizing fantasies with AI sounds interesting, it feels like just another fad. The effort to engage might not be worth it for most of us. After all, who has the energy for all that? #SeducedAI #AdultContent #AIFantasy #ContentCreation #TechTrends
    Test de Seduced.ai : peut-on vraiment personnaliser ses fantasmes avec l’IA ? - juin 2025
    Seduced.ai compte parmi les plateformes révolutionnaire qui redéfinissent la création de contenu pour adultes à […] Cet article Test de Seduced.ai : peut-on vraiment personnaliser ses fantasmes avec l’IA ? - juin 2025 a été publié sur REA
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  • 8 Best Sateen Sheets for a Polished Bedscape, Tested by AD (2025)

    All products featured on Architectural Digest are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links.Featured in this articleBest Overall Sateen SheetsBoll & Branch Signature Hemmed Sheet SetFor a Romantic DrapeEttitude CleanBamboo Sheet Set The Affordable PickGood Sleep Bedding Egyptian Cotton Sateen SheetsShow more3 / 8A close cousin to percale and silk, the best sateen sheets offer a happy medium of refinement and softness, all in one durability, and an easy-to-clean fabric.Sateen is known for having a polished appearance because of its lustrous sheen and wrinkle-resistant material. This comes from a tight satin weave that leaves a shiny look without compromising a smooth hand feel. While you can find this bedding in elevated spaces like this vibrant West Village town house thanks to embroidered touches and traditional prints, they’re surprisingly versatile and come in many forms. Here, our editors dive into their favorites for their bedrooms. Since you can find many in higher thread counts though, these are durable enough for any room in the house—as seen in this family-friendly getaway.Inside this ArticleBest Overall Sateen Sheets1/8Boll & Branch Signature Hemmed Sheet SetBoll & Branch caught commerce director Rachel Fletcher’s attention when she was browsing for new sheets for a few reasons. One: The brand makes organic and fair trade sheets: Two: She loves a sateen weave, and the retailer mentioned that this set was their bestseller and she wanted to see what the hype was about. “Boll & Branch claims that these cotton sateen sheets are buttery soft, and I definitely agree,” Fletcher says. “That extra-soft feel paired with the lovely, cooling properties make them feel like the luxury sheets that they are.” Along with an earthy color paletteand thoughtful hem detailing, this set stood out to be our top pick. These do have a higher price point, but as some of the plushest sheets she’s slept on, Fletcher thinks they’re worth it.Specs:Material: 100% organic cottonThread count: N/ASizes: Twin, Twin XL, Full, Queen, King, King With Std. Cases, California King, Split KingColors: 18 colors; 8 printsUpsides & DownsidesUpsidesSustainable materialBreathableOrganic colorwaysDownsidesExpensiveFor a Romantic DrapePhoto: Yelena Moroz AlpertPhoto: Yelena Moroz Alpert2/8Ettitude CleanBamboo Sheet Set “These sheets are buttery—pun intended,” says senior commerce editor Nashia Baker, who has the set in the butter yellow hue and loves the fabric’s delicate yet durable feel. Contributor Yelena Moroz Alpert also has this set and says that the cooling lyocell fabric set takes the bamboo sheets category up a notch. “Somehow they feel substantial but incredibly light and smooth,” she says of this splurge-worthy set. “The site says that the silky-soft sateen weave is comparable to 1,000 thread count cotton—and I believe it. I’ve never touched a baby alpaca, but I imagine that it’s as soft as these sheets.”Specs:Material: 100% CleanBamboo lyocellThread count: 1,000 thread countSizes: Twin, Twin XL, Full, Queen, King, California KingColors: 8Upsides & DownsidesUpsidesPearly appearanceLightweightUltra softDownsidesPriceyThe Affordable Pick3/8Good Sleep Bedding Egyptian Cotton Sateen SheetsDon’t overlook the best Amazon sheets for high-end sateen bedding. Contributor Erika Owen says these are a great option: “After a single night, they became my favorite set, and a few more nights and a wash only locked in this opinion.” She says they’re sumptuous, cool, and durable—and their qualityhasn’t changed after many rounds through the washer and dryer. “I would buy these as a gift for my best friend, if that tells you anything about how much I recommend these,” says Owen. “There’s nothing better than feeling really good as you hit the hay—who doesn’t want a luxury bed situation—and I felt that way every time I dug into these silky sheets. Let it also be known that I’m no stranger to night sweats and these kept me cool every single night.” The finishing touches are the deep pockets and sturdy elastic on the fitted sheet to fit a grand mattress.Specs:Material: 100% Egyptian cottonThread count: 1,000 thread countSizes: Twin, Twin XL, Full, Queen, King, California King, Split KingColors: 13Upsides & DownsidesUpsidesHigher thread countCoolingSturdy after several washesDownsidesSome shoppers found the fabric weightyA Vibrant Print4/8Rifle Paper Co. Peacock Sateen Bed Sheet SetThese are some of the softest bed sheets out there, just take it from Alpert. Not only are they comfortable to sink into night after night thanks to the plush 300 thread count, but they also veer away from traditional patterns and solid colorways. “I was originally drawn to the peacock print because it is just so whimsical and livens up my guest bedroom,” Alpert says. “But these are also buttery soft. Maybe too soft—my guests never want to leave.” If it wasn’t for the true-to-Rifle print, she would mistake these for hotel sheets because of their supple feel.Specs:Material: 100% combed cotton sateenThread count: 300 thread countSizes: Twin, Full, Queen, KingColors: 3Upsides & DownsidesUpsidesUnique patternsSuppleAiry materialDownsidesNot as ideal for minimalistsClassic Core Set5/8Brooklinen Luxe Sateen Core Sheet SetIf you want sheets with unparalleled quality, durability, and softness that gets better with every wash, multiple AD staff members say you can’t go wrong with these Brooklinen sheets. Fletcher shares that this sateen set is “super classic, smooth, and has a crisp feel.” Sleepers with sensitive skin will also be happy to know that they’re “not at all scratchy or harsh on my skin, like some of the less expensive options I’ve tried in the past,” Fletcher adds.Specs:Material: 100% long-staple cottonThread count: 480 thread countSizes: Twin, Twin XL, Full, Queen, King, California KingColors: 22Upsides & DownsidesUpsidesStructured fabric like a press shirtWrinkle-free designAffordableDownsidesLimited-edition colors sell out fastMore AD-Approved Sateen Sheets6/8Hill House Home Fitted Sheet“For a top sheet and fitted sheet, I truly didn’t know what to expect from a brand as new to the decor game as Hill House Home, but was delightfully surprised at the quality and attention to detail that was put into making these products,” contributor Katarina Kovac says of these Hill House Home sheets.“I wanted something that was crisp yet elevated, and the colored trim in the Savile Sheets was my answer.” Since she’s had her fair share of sheets that have a sandpaper-like texture, she paid close attention to how well these felt after the first wash. To her delight, these “felt soft, velvety, and breathable against my skin, leaving me truly struggling to get out of bed in the morning.”Specs:Material: 100% brushed cotton sateenThread count: N/ASizes: Twin, Full, Queen, King, California KingColors: 6Upsides & DownsidesUpsidesTraditional printsLushSmooth feelThoughtful trimDownsidesFlat sheet, fitted sheet, and pillowcases are sold separately7/8Homebird Sateen Fitted SheetsFletcher loves an ethically made, slippery sateen weave, and it took just one night of sleep to be sold on this Homebird set. “They’re very high quality and everything you want in a sateen sheet: incredibly soft to the touch and slightly silky, with a sturdiness to them that you can tell is the result of a high thread count,” she says. “They fit my bed perfectly and also have the most useful feature that, in my opinion, every set of sheets ever made should have: a long-side and short-side label.”Specs:Material: 100% GOTS-certified, long-staple organic cottonThread count: 300 thread countSizes: Full, Queen, KingColors: 7Upsides & DownsidesUpsidesSilky smoothHelpful labels to make the bedDeep pocketsDownsidesOnly available in muted tones
    #best #sateen #sheets #polished #bedscape
    8 Best Sateen Sheets for a Polished Bedscape, Tested by AD (2025)
    All products featured on Architectural Digest are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links.Featured in this articleBest Overall Sateen SheetsBoll & Branch Signature Hemmed Sheet SetFor a Romantic DrapeEttitude CleanBamboo Sheet Set The Affordable PickGood Sleep Bedding Egyptian Cotton Sateen SheetsShow more3 / 8A close cousin to percale and silk, the best sateen sheets offer a happy medium of refinement and softness, all in one durability, and an easy-to-clean fabric.Sateen is known for having a polished appearance because of its lustrous sheen and wrinkle-resistant material. This comes from a tight satin weave that leaves a shiny look without compromising a smooth hand feel. While you can find this bedding in elevated spaces like this vibrant West Village town house thanks to embroidered touches and traditional prints, they’re surprisingly versatile and come in many forms. Here, our editors dive into their favorites for their bedrooms. Since you can find many in higher thread counts though, these are durable enough for any room in the house—as seen in this family-friendly getaway.Inside this ArticleBest Overall Sateen Sheets1/8Boll & Branch Signature Hemmed Sheet SetBoll & Branch caught commerce director Rachel Fletcher’s attention when she was browsing for new sheets for a few reasons. One: The brand makes organic and fair trade sheets: Two: She loves a sateen weave, and the retailer mentioned that this set was their bestseller and she wanted to see what the hype was about. “Boll & Branch claims that these cotton sateen sheets are buttery soft, and I definitely agree,” Fletcher says. “That extra-soft feel paired with the lovely, cooling properties make them feel like the luxury sheets that they are.” Along with an earthy color paletteand thoughtful hem detailing, this set stood out to be our top pick. These do have a higher price point, but as some of the plushest sheets she’s slept on, Fletcher thinks they’re worth it.Specs:Material: 100% organic cottonThread count: N/ASizes: Twin, Twin XL, Full, Queen, King, King With Std. Cases, California King, Split KingColors: 18 colors; 8 printsUpsides & DownsidesUpsidesSustainable materialBreathableOrganic colorwaysDownsidesExpensiveFor a Romantic DrapePhoto: Yelena Moroz AlpertPhoto: Yelena Moroz Alpert2/8Ettitude CleanBamboo Sheet Set “These sheets are buttery—pun intended,” says senior commerce editor Nashia Baker, who has the set in the butter yellow hue and loves the fabric’s delicate yet durable feel. Contributor Yelena Moroz Alpert also has this set and says that the cooling lyocell fabric set takes the bamboo sheets category up a notch. “Somehow they feel substantial but incredibly light and smooth,” she says of this splurge-worthy set. “The site says that the silky-soft sateen weave is comparable to 1,000 thread count cotton—and I believe it. I’ve never touched a baby alpaca, but I imagine that it’s as soft as these sheets.”Specs:Material: 100% CleanBamboo lyocellThread count: 1,000 thread countSizes: Twin, Twin XL, Full, Queen, King, California KingColors: 8Upsides & DownsidesUpsidesPearly appearanceLightweightUltra softDownsidesPriceyThe Affordable Pick3/8Good Sleep Bedding Egyptian Cotton Sateen SheetsDon’t overlook the best Amazon sheets for high-end sateen bedding. Contributor Erika Owen says these are a great option: “After a single night, they became my favorite set, and a few more nights and a wash only locked in this opinion.” She says they’re sumptuous, cool, and durable—and their qualityhasn’t changed after many rounds through the washer and dryer. “I would buy these as a gift for my best friend, if that tells you anything about how much I recommend these,” says Owen. “There’s nothing better than feeling really good as you hit the hay—who doesn’t want a luxury bed situation—and I felt that way every time I dug into these silky sheets. Let it also be known that I’m no stranger to night sweats and these kept me cool every single night.” The finishing touches are the deep pockets and sturdy elastic on the fitted sheet to fit a grand mattress.Specs:Material: 100% Egyptian cottonThread count: 1,000 thread countSizes: Twin, Twin XL, Full, Queen, King, California King, Split KingColors: 13Upsides & DownsidesUpsidesHigher thread countCoolingSturdy after several washesDownsidesSome shoppers found the fabric weightyA Vibrant Print4/8Rifle Paper Co. Peacock Sateen Bed Sheet SetThese are some of the softest bed sheets out there, just take it from Alpert. Not only are they comfortable to sink into night after night thanks to the plush 300 thread count, but they also veer away from traditional patterns and solid colorways. “I was originally drawn to the peacock print because it is just so whimsical and livens up my guest bedroom,” Alpert says. “But these are also buttery soft. Maybe too soft—my guests never want to leave.” If it wasn’t for the true-to-Rifle print, she would mistake these for hotel sheets because of their supple feel.Specs:Material: 100% combed cotton sateenThread count: 300 thread countSizes: Twin, Full, Queen, KingColors: 3Upsides & DownsidesUpsidesUnique patternsSuppleAiry materialDownsidesNot as ideal for minimalistsClassic Core Set5/8Brooklinen Luxe Sateen Core Sheet SetIf you want sheets with unparalleled quality, durability, and softness that gets better with every wash, multiple AD staff members say you can’t go wrong with these Brooklinen sheets. Fletcher shares that this sateen set is “super classic, smooth, and has a crisp feel.” Sleepers with sensitive skin will also be happy to know that they’re “not at all scratchy or harsh on my skin, like some of the less expensive options I’ve tried in the past,” Fletcher adds.Specs:Material: 100% long-staple cottonThread count: 480 thread countSizes: Twin, Twin XL, Full, Queen, King, California KingColors: 22Upsides & DownsidesUpsidesStructured fabric like a press shirtWrinkle-free designAffordableDownsidesLimited-edition colors sell out fastMore AD-Approved Sateen Sheets6/8Hill House Home Fitted Sheet“For a top sheet and fitted sheet, I truly didn’t know what to expect from a brand as new to the decor game as Hill House Home, but was delightfully surprised at the quality and attention to detail that was put into making these products,” contributor Katarina Kovac says of these Hill House Home sheets.“I wanted something that was crisp yet elevated, and the colored trim in the Savile Sheets was my answer.” Since she’s had her fair share of sheets that have a sandpaper-like texture, she paid close attention to how well these felt after the first wash. To her delight, these “felt soft, velvety, and breathable against my skin, leaving me truly struggling to get out of bed in the morning.”Specs:Material: 100% brushed cotton sateenThread count: N/ASizes: Twin, Full, Queen, King, California KingColors: 6Upsides & DownsidesUpsidesTraditional printsLushSmooth feelThoughtful trimDownsidesFlat sheet, fitted sheet, and pillowcases are sold separately7/8Homebird Sateen Fitted SheetsFletcher loves an ethically made, slippery sateen weave, and it took just one night of sleep to be sold on this Homebird set. “They’re very high quality and everything you want in a sateen sheet: incredibly soft to the touch and slightly silky, with a sturdiness to them that you can tell is the result of a high thread count,” she says. “They fit my bed perfectly and also have the most useful feature that, in my opinion, every set of sheets ever made should have: a long-side and short-side label.”Specs:Material: 100% GOTS-certified, long-staple organic cottonThread count: 300 thread countSizes: Full, Queen, KingColors: 7Upsides & DownsidesUpsidesSilky smoothHelpful labels to make the bedDeep pocketsDownsidesOnly available in muted tones #best #sateen #sheets #polished #bedscape
    WWW.ARCHITECTURALDIGEST.COM
    8 Best Sateen Sheets for a Polished Bedscape, Tested by AD (2025)
    All products featured on Architectural Digest are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links.Featured in this articleBest Overall Sateen SheetsBoll & Branch Signature Hemmed Sheet SetRead moreFor a Romantic DrapeEttitude CleanBamboo Sheet Set Read moreThe Affordable PickGood Sleep Bedding Egyptian Cotton Sateen SheetsRead moreShow more3 / 8A close cousin to percale and silk, the best sateen sheets offer a happy medium of refinement and softness, all in one durability, and an easy-to-clean fabric.Sateen is known for having a polished appearance because of its lustrous sheen and wrinkle-resistant material. This comes from a tight satin weave that leaves a shiny look without compromising a smooth hand feel. While you can find this bedding in elevated spaces like this vibrant West Village town house thanks to embroidered touches and traditional prints, they’re surprisingly versatile and come in many forms. Here, our editors dive into their favorites for their bedrooms. Since you can find many in higher thread counts though (which we dive into more below), these are durable enough for any room in the house—as seen in this family-friendly getaway.Inside this ArticleBest Overall Sateen Sheets1/8Boll & Branch Signature Hemmed Sheet SetBoll & Branch caught commerce director Rachel Fletcher’s attention when she was browsing for new sheets for a few reasons. One: The brand makes organic and fair trade sheets: Two: She loves a sateen weave, and the retailer mentioned that this set was their bestseller and she wanted to see what the hype was about. “Boll & Branch claims that these cotton sateen sheets are buttery soft, and I definitely agree,” Fletcher says. “That extra-soft feel paired with the lovely, cooling properties make them feel like the luxury sheets that they are.” Along with an earthy color palette (Fletcher has her set in mineral) and thoughtful hem detailing, this set stood out to be our top pick. These do have a higher price point, but as some of the plushest sheets she’s slept on, Fletcher thinks they’re worth it.Specs:Material: 100% organic cottonThread count: N/ASizes: Twin, Twin XL, Full, Queen, King, King With Std. Cases, California King, Split KingColors: 18 colors; 8 printsUpsides & DownsidesUpsidesSustainable materialBreathableOrganic colorwaysDownsidesExpensiveFor a Romantic DrapePhoto: Yelena Moroz AlpertPhoto: Yelena Moroz Alpert2/8Ettitude CleanBamboo Sheet Set “These sheets are buttery—pun intended,” says senior commerce editor Nashia Baker, who has the set in the butter yellow hue and loves the fabric’s delicate yet durable feel. Contributor Yelena Moroz Alpert also has this set and says that the cooling lyocell fabric set takes the bamboo sheets category up a notch. “Somehow they feel substantial but incredibly light and smooth,” she says of this splurge-worthy set. “The site says that the silky-soft sateen weave is comparable to 1,000 thread count cotton—and I believe it. I’ve never touched a baby alpaca, but I imagine that it’s as soft as these sheets.”Specs:Material: 100% CleanBamboo lyocellThread count: 1,000 thread countSizes: Twin, Twin XL, Full, Queen, King, California KingColors: 8Upsides & DownsidesUpsidesPearly appearanceLightweightUltra softDownsidesPriceyThe Affordable Pick3/8Good Sleep Bedding Egyptian Cotton Sateen SheetsDon’t overlook the best Amazon sheets for high-end sateen bedding. Contributor Erika Owen says these are a great option: “After a single night, they became my favorite set, and a few more nights and a wash only locked in this opinion.” She says they’re sumptuous, cool, and durable—and their quality (think texture, weight, and comfort) hasn’t changed after many rounds through the washer and dryer. “I would buy these as a gift for my best friend, if that tells you anything about how much I recommend these,” says Owen. “There’s nothing better than feeling really good as you hit the hay—who doesn’t want a luxury bed situation—and I felt that way every time I dug into these silky sheets. Let it also be known that I’m no stranger to night sweats and these kept me cool every single night.” The finishing touches are the deep pockets and sturdy elastic on the fitted sheet to fit a grand mattress.Specs:Material: 100% Egyptian cottonThread count: 1,000 thread countSizes: Twin, Twin XL, Full, Queen, King, California King, Split KingColors: 13Upsides & DownsidesUpsidesHigher thread countCoolingSturdy after several washesDownsidesSome shoppers found the fabric weightyA Vibrant Print4/8Rifle Paper Co. Peacock Sateen Bed Sheet SetThese are some of the softest bed sheets out there, just take it from Alpert. Not only are they comfortable to sink into night after night thanks to the plush 300 thread count, but they also veer away from traditional patterns and solid colorways. “I was originally drawn to the peacock print because it is just so whimsical and livens up my guest bedroom,” Alpert says. “But these are also buttery soft. Maybe too soft—my guests never want to leave.” If it wasn’t for the true-to-Rifle print, she would mistake these for hotel sheets because of their supple feel.Specs:Material: 100% combed cotton sateenThread count: 300 thread countSizes: Twin, Full, Queen, KingColors: 3Upsides & DownsidesUpsidesUnique patternsSuppleAiry materialDownsidesNot as ideal for minimalistsClassic Core Set5/8Brooklinen Luxe Sateen Core Sheet SetIf you want sheets with unparalleled quality, durability, and softness that gets better with every wash, multiple AD staff members say you can’t go wrong with these Brooklinen sheets. Fletcher shares that this sateen set is “super classic, smooth, and has a crisp feel.” Sleepers with sensitive skin will also be happy to know that they’re “not at all scratchy or harsh on my skin, like some of the less expensive options I’ve tried in the past,” Fletcher adds.Specs:Material: 100% long-staple cottonThread count: 480 thread countSizes: Twin, Twin XL, Full, Queen, King, California KingColors: 22Upsides & DownsidesUpsidesStructured fabric like a press shirtWrinkle-free designAffordableDownsidesLimited-edition colors sell out fastMore AD-Approved Sateen Sheets6/8Hill House Home Fitted Sheet“For a $100 top sheet and $125 fitted sheet, I truly didn’t know what to expect from a brand as new to the decor game as Hill House Home, but was delightfully surprised at the quality and attention to detail that was put into making these products,” contributor Katarina Kovac says of these Hill House Home sheets.“I wanted something that was crisp yet elevated, and the colored trim in the Savile Sheets was my answer.” Since she’s had her fair share of sheets that have a sandpaper-like texture, she paid close attention to how well these felt after the first wash. To her delight, these “felt soft, velvety, and breathable against my skin, leaving me truly struggling to get out of bed in the morning.”Specs:Material: 100% brushed cotton sateenThread count: N/ASizes: Twin, Full, Queen, King, California KingColors: 6Upsides & DownsidesUpsidesTraditional printsLushSmooth feelThoughtful trimDownsidesFlat sheet, fitted sheet, and pillowcases are sold separately7/8Homebird Sateen Fitted Sheets (Set of 3)Fletcher loves an ethically made, slippery sateen weave, and it took just one night of sleep to be sold on this Homebird set. “They’re very high quality and everything you want in a sateen sheet: incredibly soft to the touch and slightly silky, with a sturdiness to them that you can tell is the result of a high thread count,” she says. “They fit my bed perfectly and also have the most useful feature that, in my opinion, every set of sheets ever made should have: a long-side and short-side label.”Specs:Material: 100% GOTS-certified, long-staple organic cottonThread count: 300 thread countSizes: Full, Queen, KingColors: 7Upsides & DownsidesUpsidesSilky smoothHelpful labels to make the bedDeep pocketsDownsidesOnly available in muted tones
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  • The Best Hidden-Gem Etsy Shops for Fans of Farmhouse Style

    Becky Luigart-Stayner for Country LivingCountry Living editors select each product featured. If you buy from a link, we may earn a commission. Why Trust Us?Like a well-made quilt, a classic farmhouse aesthetic comes together gradually—a little bit of this, a touch of that. Each addition is purposeful and personal—and isn’t that what home is all about, really? If this type of slowed-down style speaks to you, you're probably already well aware that Etsy is a treasure trove of finds both new and old to fit your timeless farmhouse aesthetic. But with more than eight million active sellers on its marketplace, sometimes the possibilities—vintage feed sacks! primitive pie safes! galvanized grain scoops!—can quickly go from enticing to overwhelming.To better guide your search for the finest farmhouse furnishings, we’ve gathered a go-to list of editor-and designer-beloved Etsy shops which, time and again, turn out hardworking, homespun pieces of heirloom quality. From beautiful antique bureaus to hand-block-printed table linens, the character-rich wares from these sellers will help you design the farmhouse of your dreams, piece by precious piece. Related Stories For Antique AmericanaAcorn and Alice Every good old-fashioned farmhouse could use some traditional Americana to set the tone, and this Pennsylvania salvage shop offers rustic touches loaded with authentic antique allure. Aged wooden wares abound, as well as a grab bag of cotton and burlap feed sacks, perfect for framing as sets or crafting into footstool covers or throw pillows. For French Country TextilesForest and LinenThere’s nothing quite like breezy natural fabrics to make you want to throw open all the windows and let that country air in while the pie cools. Unfussy and lightweight, the hand-crafted curtains, bedding, and table linens from these Lithuanian textile experts have a classic understated quality that would be right at home in the coziest guest room or most bustling kitchen. Warm, welcoming hues range from marigold yellow to cornflower blue, but soft gingham checkers and timeless French ticking feel especially farm-fresh. Our current favorite? These cherry-striped country cafe curtains. Becky Luigart-Stayner for Country LivingVintage red torchons feel right at home in a farmhouse kitchenFor Rustic RugsOld New HouseWhether or not you’re lucky enough to have gorgeous wide-plank floors, an antique area rug or runner can work wonders for giving a room instant character and warmth. This fifth-generation family-run retailer specializes in importing heirloom hand-knotted carpets dating back to the 1800s, with a focus on traditional designs from the masters in Turkey, India, Persia, and more. Their vast variety of sizes and styles offers something for every aesthetic, with one-of-a-kind patterns ranging from distressed neutrals to chain-stitched florals to ornate arabesques. For Pillows and ProvisionsHabitation BohemeIn true farmhouse fashion, this Indiana shop has curated an enticing blend of handcrafted and vintage homewares that work effortlessly well together. A line of cozy hand-stitched linen pillow coverssits prettily alongside a mix of found objects, from patinated brass candlesticks and etched cloisonné vases to sturdy stoneware crockery and woven wicker baskets. For Elegant Everyday DishwareConvivial ProductionSimple, yet undeniably stunning, the handcrafted dinnerware from this Missouri-based ceramist is designed with durability in mind. Produced in a single, time-tested shade of ivory white glaze, these practical stoneware cups, bowls, and plates make the perfect place settings for lively farm-to-table feasts with friends and family. Beautifully balancing softness and heft, each dish is meant to feel comfortable when being held and passed, but also to look attractive when stacked upon open shelving. For English Country Antiques1100 West Co.This Illinois antiques shop is stocked with all manner of versatile vintage vessels culled from the English countryside, from massive stoneware crocks to charming little escargot pots. Their collection of neutral containers can be adapted for nearly any provincial purpose, but we especially love their assortment of old advertising—from toothpaste pots to marmalade jars and ginger beer bottles galore—for a nice little nod to the quintessential country practice of repurposing what you’ve got. Brian Woodcock/Country LivingPretty English ironstone will always have our heart.For a Cozy GlowOlde Brick LightingConstructed by hand from cord to shade, the vintage-inspired lighting produced by this Pennsylvania retailer is a tribute to the iconic quality and character of old American fixtures. Nostalgic design elements include hand-blown glassand finishes ranging from matte black to brushed nickel and antique brass. To create an authentic farmhouse ambiance, check out their gooseneck sconces, enameled red and blue barn lights, and milky white striped schoolhouse flush mounts. For Enduring ArtifactsThrough the PortholeThe weathered, artisan-made wares curated by this California husband-and-wife duo have been hand-selected from around the globe for their time-etched character. From gorgeous gray-black terracotta vases and rust-colored Turkish clay pots to patinated brass cow bells and rustic reclaimed elm stools, each item is a testament to the lasting beauty of classic materials, with storied sun-bleaching and scratches befitting the most beloved, lived-in rooms. For Winsome Wall ArtEugenia Ciotola ArtThrough graceful brushstrokes and textural swirls of paint, Maryland-based artist Eugenia Ciotola has captured the natural joy of a life that’s simple and sweet. Her pieces celebrate quiet scenes of bucolic beauty, from billowing bouquets of peonies to stoic red barns sitting in fields of wavy green. For a parlor gallery or gathering space, we gravitate toward her original oils on canvas—an impasto still life, perhaps, or a plainly frocked maiden carrying a bountiful bowl of lemons—while her stately farm animal portraitswould look lovely in a child’s nursery.For Time-Tested Storage SolutionsMaterials DivisionFunction is forefront for this farmhouse supplier operating out of New York, whose specialized selection of vintage provisions have lived out dutiful lives of purpose. Standouts include a curated offering of trusty antique tool boxes and sturdy steel-clad trunks whose rugged patina tells the story of many-a household project. Meanwhile, a hardworking mix of industrial wire and woven wood gathering baskets sits handsomely alongside heavy-duty galvanized garbage bins and antique fireplace andirons.For Pastoral PrimitivesComfort Work RoomFull of history and heritage, the old, hand-fabricated furnishings and primitive wooden tools in this unique Ukrainian antique shop are rural remnants of simpler times gone by. Quaint kitchen staples like chippy chiseled spoons, scoops, and cutting boards make an accessible entry point for the casual collector, while scuffed up dough troughs, butter churns, washboards, and barrels are highly desirable conversation pieces for any antique enthusiast who’s dedicated to authentic detail. Becky Luigart-Stayner for Country LivingAntique washboards make for on-theme wall art in a laundry roomFor Heirloom-Quality CoverletsBluegrass QuiltsNo layered farmhouse look would be complete without the homey, tactile touch of a hand-pieced quilt or two draped intentionally about the room. From harvest-hued sawtooth stars to playful patchwork pinwheels, each exquisite blanket from this Kentucky-based artisan is slow-crafted in traditional fashion from 100% cotton materials, and can even be custom stitched from scratch to match your personal color palette and decorative purpose. For a classic country aesthetic, try a log cabin, double diamond, or star patch pattern. For Hand-Crafted GiftsSelselaFeaturing a busy barnyard’s worth of plucky chickens, cuddly sheep, and happy little Holstein cows, this Illinois woodworker’s whimsical line of farm figurines and other giftable goodiesis chock-full of hand-carved charm. Crafted from 100% recycled birch and painted in loving detail, each creature has a deliberately rough-hewn look and feel worthy of any cozy and collected home. For Open-Concept CabinetryFolkhausA hallmark of many modern farmhouses, open-concept shelving has become a stylish way to show that the practical wares you use everyday are the same ones you’re proud to put on display. With their signature line of bracketed wall shelves, Shaker-style peg shelves, and raw steel kitchen rails, the team at Folkhaus has created a range of open storage solutions that beautifully balances elevated design and rustic utility. Rounding out their collection is a selection of open-shelved accent pieces like bookcases, benches, and console tables—each crafted from character-rich kiln-dried timber and finished in your choice of stain.Related StoryFor Antique Farmhouse FurnitureCottage Treasures LVThe foundation of a well-furnished farmhouse often begins with a single prized piece. Whether it’s a slant-front desk, a primitive jelly cabinet, or a punched-tin pie safe, this established New York-based dealer has a knack for sourcing vintage treasures with the personality and presence to anchor an entire space. Distressed cupboards and cabinets may be their bread and butterbut you’ll also find a robust roundup of weathered farm tables, Windsor chairs, and blanket chests—and currently, even a rare 1500s English bench. For Lively Table LinensMoontea StudioAs any devotee of slow decorating knows, sometimes it’s the little details that really bring a look home. For a spot of cheer along with your afternoon tea, we love the hand-stamped table linens from this Washington-based printmaker, which put a peppy, modern spin on farm-fresh produce. Patterned with lush illustrations of bright red tomatoes, crisp green apples, and golden sunflowers—then neatly finished with a color-coordinated hand-stitched trim—each tea towel, placemat, and napkin pays homage to the hours we spend doting over our gardens. For Traditional TransferwarePrior TimeThere’s lots to love about this Massachusetts antiques shop, which admittedly skews slightly cottagecorebut the standout, for us, is the seller’s superior selection of dinner and serving ware. In addition to a lovely lot of mottled white ironstone platters and pitchers, you’ll find a curated mix of Ridgeway and Wedgwood transferware dishes in not only classic cobalt blue, but beautiful browns, greens, and purples, too.Becky Luigart-Stayner for Country LivingPretty brown transferware could be yours with one quick "add to cart."For Folk Art for Your FloorsKinFolk ArtworkDesigned by a West Virginia watercolor and oils artist with a penchant for painting the past, these silky chenille floor mats feature an original cast of colonial characters and folksy scenes modeled after heirloom textiles from the 18th and 19th centuries. Expect lots of early American and patriotic motifs, including old-fashioned flags, Pennsylvania Dutch fraktur, equestrian vignettes, and colonial house samplers—each made to mimic a vintage hooked rug for that cozy, homespun feeling.For Historical ReproductionsSchooner Bay Co.Even in the most painstakingly appointed interior, buying antique originals isn’t always an option. And that’s where this trusted Pennsylvania-based retailer for historical reproductions comes in. Offering a colossal collection of framed art prints, decorative trays, and brass objects, these connoisseurs of the classics have decor for every old-timey aesthetic, whether it’s fox hunt prints for your cabin, Dutch landscapes for your cottage, or primitive animal portraits for your farmstead.For General Store StaplesFarmhouse EclecticsHand-plucked from New England antique shops, estate sales, and auctions, the salvaged sundries from this Massachusetts-based supplierare the type you might spy in an old country store—wooden crates emblazoned with the names of local dairies, antique apple baskets, seed displays, signs, and scales. Whether you’re setting up your farmstand or styling your entryway, you’ll have plenty of storage options and authentic accents to pick from here. Becky Luigart-Stayner for Country LivingSo many food scales, so little time.Related StoriesJackie BuddieJackie Buddie is a freelance writer with more than a decade of editorial experience covering lifestyle topics including home decor how-tos, fashion trend deep dives, seasonal gift guides, and in-depth profiles of artists and creatives around the globe. She holds a degree in journalism from the University of North Carolina at Chapel Hill and received her M.F.A. in creative writing from Boston University. Jackie is, among other things, a collector of curiosities, Catskills land caretaker, dabbling DIYer, day hiker, and mom. She lives in the hills of Bovina, New York, with her family and her sweet-as-pie rescue dog.
    #best #hiddengem #etsy #shops #fans
    The Best Hidden-Gem Etsy Shops for Fans of Farmhouse Style
    Becky Luigart-Stayner for Country LivingCountry Living editors select each product featured. If you buy from a link, we may earn a commission. Why Trust Us?Like a well-made quilt, a classic farmhouse aesthetic comes together gradually—a little bit of this, a touch of that. Each addition is purposeful and personal—and isn’t that what home is all about, really? If this type of slowed-down style speaks to you, you're probably already well aware that Etsy is a treasure trove of finds both new and old to fit your timeless farmhouse aesthetic. But with more than eight million active sellers on its marketplace, sometimes the possibilities—vintage feed sacks! primitive pie safes! galvanized grain scoops!—can quickly go from enticing to overwhelming.To better guide your search for the finest farmhouse furnishings, we’ve gathered a go-to list of editor-and designer-beloved Etsy shops which, time and again, turn out hardworking, homespun pieces of heirloom quality. From beautiful antique bureaus to hand-block-printed table linens, the character-rich wares from these sellers will help you design the farmhouse of your dreams, piece by precious piece. Related Stories For Antique AmericanaAcorn and Alice Every good old-fashioned farmhouse could use some traditional Americana to set the tone, and this Pennsylvania salvage shop offers rustic touches loaded with authentic antique allure. Aged wooden wares abound, as well as a grab bag of cotton and burlap feed sacks, perfect for framing as sets or crafting into footstool covers or throw pillows. For French Country TextilesForest and LinenThere’s nothing quite like breezy natural fabrics to make you want to throw open all the windows and let that country air in while the pie cools. Unfussy and lightweight, the hand-crafted curtains, bedding, and table linens from these Lithuanian textile experts have a classic understated quality that would be right at home in the coziest guest room or most bustling kitchen. Warm, welcoming hues range from marigold yellow to cornflower blue, but soft gingham checkers and timeless French ticking feel especially farm-fresh. Our current favorite? These cherry-striped country cafe curtains. Becky Luigart-Stayner for Country LivingVintage red torchons feel right at home in a farmhouse kitchenFor Rustic RugsOld New HouseWhether or not you’re lucky enough to have gorgeous wide-plank floors, an antique area rug or runner can work wonders for giving a room instant character and warmth. This fifth-generation family-run retailer specializes in importing heirloom hand-knotted carpets dating back to the 1800s, with a focus on traditional designs from the masters in Turkey, India, Persia, and more. Their vast variety of sizes and styles offers something for every aesthetic, with one-of-a-kind patterns ranging from distressed neutrals to chain-stitched florals to ornate arabesques. For Pillows and ProvisionsHabitation BohemeIn true farmhouse fashion, this Indiana shop has curated an enticing blend of handcrafted and vintage homewares that work effortlessly well together. A line of cozy hand-stitched linen pillow coverssits prettily alongside a mix of found objects, from patinated brass candlesticks and etched cloisonné vases to sturdy stoneware crockery and woven wicker baskets. For Elegant Everyday DishwareConvivial ProductionSimple, yet undeniably stunning, the handcrafted dinnerware from this Missouri-based ceramist is designed with durability in mind. Produced in a single, time-tested shade of ivory white glaze, these practical stoneware cups, bowls, and plates make the perfect place settings for lively farm-to-table feasts with friends and family. Beautifully balancing softness and heft, each dish is meant to feel comfortable when being held and passed, but also to look attractive when stacked upon open shelving. For English Country Antiques1100 West Co.This Illinois antiques shop is stocked with all manner of versatile vintage vessels culled from the English countryside, from massive stoneware crocks to charming little escargot pots. Their collection of neutral containers can be adapted for nearly any provincial purpose, but we especially love their assortment of old advertising—from toothpaste pots to marmalade jars and ginger beer bottles galore—for a nice little nod to the quintessential country practice of repurposing what you’ve got. Brian Woodcock/Country LivingPretty English ironstone will always have our heart.For a Cozy GlowOlde Brick LightingConstructed by hand from cord to shade, the vintage-inspired lighting produced by this Pennsylvania retailer is a tribute to the iconic quality and character of old American fixtures. Nostalgic design elements include hand-blown glassand finishes ranging from matte black to brushed nickel and antique brass. To create an authentic farmhouse ambiance, check out their gooseneck sconces, enameled red and blue barn lights, and milky white striped schoolhouse flush mounts. For Enduring ArtifactsThrough the PortholeThe weathered, artisan-made wares curated by this California husband-and-wife duo have been hand-selected from around the globe for their time-etched character. From gorgeous gray-black terracotta vases and rust-colored Turkish clay pots to patinated brass cow bells and rustic reclaimed elm stools, each item is a testament to the lasting beauty of classic materials, with storied sun-bleaching and scratches befitting the most beloved, lived-in rooms. For Winsome Wall ArtEugenia Ciotola ArtThrough graceful brushstrokes and textural swirls of paint, Maryland-based artist Eugenia Ciotola has captured the natural joy of a life that’s simple and sweet. Her pieces celebrate quiet scenes of bucolic beauty, from billowing bouquets of peonies to stoic red barns sitting in fields of wavy green. For a parlor gallery or gathering space, we gravitate toward her original oils on canvas—an impasto still life, perhaps, or a plainly frocked maiden carrying a bountiful bowl of lemons—while her stately farm animal portraitswould look lovely in a child’s nursery.For Time-Tested Storage SolutionsMaterials DivisionFunction is forefront for this farmhouse supplier operating out of New York, whose specialized selection of vintage provisions have lived out dutiful lives of purpose. Standouts include a curated offering of trusty antique tool boxes and sturdy steel-clad trunks whose rugged patina tells the story of many-a household project. Meanwhile, a hardworking mix of industrial wire and woven wood gathering baskets sits handsomely alongside heavy-duty galvanized garbage bins and antique fireplace andirons.For Pastoral PrimitivesComfort Work RoomFull of history and heritage, the old, hand-fabricated furnishings and primitive wooden tools in this unique Ukrainian antique shop are rural remnants of simpler times gone by. Quaint kitchen staples like chippy chiseled spoons, scoops, and cutting boards make an accessible entry point for the casual collector, while scuffed up dough troughs, butter churns, washboards, and barrels are highly desirable conversation pieces for any antique enthusiast who’s dedicated to authentic detail. Becky Luigart-Stayner for Country LivingAntique washboards make for on-theme wall art in a laundry roomFor Heirloom-Quality CoverletsBluegrass QuiltsNo layered farmhouse look would be complete without the homey, tactile touch of a hand-pieced quilt or two draped intentionally about the room. From harvest-hued sawtooth stars to playful patchwork pinwheels, each exquisite blanket from this Kentucky-based artisan is slow-crafted in traditional fashion from 100% cotton materials, and can even be custom stitched from scratch to match your personal color palette and decorative purpose. For a classic country aesthetic, try a log cabin, double diamond, or star patch pattern. For Hand-Crafted GiftsSelselaFeaturing a busy barnyard’s worth of plucky chickens, cuddly sheep, and happy little Holstein cows, this Illinois woodworker’s whimsical line of farm figurines and other giftable goodiesis chock-full of hand-carved charm. Crafted from 100% recycled birch and painted in loving detail, each creature has a deliberately rough-hewn look and feel worthy of any cozy and collected home. For Open-Concept CabinetryFolkhausA hallmark of many modern farmhouses, open-concept shelving has become a stylish way to show that the practical wares you use everyday are the same ones you’re proud to put on display. With their signature line of bracketed wall shelves, Shaker-style peg shelves, and raw steel kitchen rails, the team at Folkhaus has created a range of open storage solutions that beautifully balances elevated design and rustic utility. Rounding out their collection is a selection of open-shelved accent pieces like bookcases, benches, and console tables—each crafted from character-rich kiln-dried timber and finished in your choice of stain.Related StoryFor Antique Farmhouse FurnitureCottage Treasures LVThe foundation of a well-furnished farmhouse often begins with a single prized piece. Whether it’s a slant-front desk, a primitive jelly cabinet, or a punched-tin pie safe, this established New York-based dealer has a knack for sourcing vintage treasures with the personality and presence to anchor an entire space. Distressed cupboards and cabinets may be their bread and butterbut you’ll also find a robust roundup of weathered farm tables, Windsor chairs, and blanket chests—and currently, even a rare 1500s English bench. For Lively Table LinensMoontea StudioAs any devotee of slow decorating knows, sometimes it’s the little details that really bring a look home. For a spot of cheer along with your afternoon tea, we love the hand-stamped table linens from this Washington-based printmaker, which put a peppy, modern spin on farm-fresh produce. Patterned with lush illustrations of bright red tomatoes, crisp green apples, and golden sunflowers—then neatly finished with a color-coordinated hand-stitched trim—each tea towel, placemat, and napkin pays homage to the hours we spend doting over our gardens. For Traditional TransferwarePrior TimeThere’s lots to love about this Massachusetts antiques shop, which admittedly skews slightly cottagecorebut the standout, for us, is the seller’s superior selection of dinner and serving ware. In addition to a lovely lot of mottled white ironstone platters and pitchers, you’ll find a curated mix of Ridgeway and Wedgwood transferware dishes in not only classic cobalt blue, but beautiful browns, greens, and purples, too.Becky Luigart-Stayner for Country LivingPretty brown transferware could be yours with one quick "add to cart."For Folk Art for Your FloorsKinFolk ArtworkDesigned by a West Virginia watercolor and oils artist with a penchant for painting the past, these silky chenille floor mats feature an original cast of colonial characters and folksy scenes modeled after heirloom textiles from the 18th and 19th centuries. Expect lots of early American and patriotic motifs, including old-fashioned flags, Pennsylvania Dutch fraktur, equestrian vignettes, and colonial house samplers—each made to mimic a vintage hooked rug for that cozy, homespun feeling.For Historical ReproductionsSchooner Bay Co.Even in the most painstakingly appointed interior, buying antique originals isn’t always an option. And that’s where this trusted Pennsylvania-based retailer for historical reproductions comes in. Offering a colossal collection of framed art prints, decorative trays, and brass objects, these connoisseurs of the classics have decor for every old-timey aesthetic, whether it’s fox hunt prints for your cabin, Dutch landscapes for your cottage, or primitive animal portraits for your farmstead.For General Store StaplesFarmhouse EclecticsHand-plucked from New England antique shops, estate sales, and auctions, the salvaged sundries from this Massachusetts-based supplierare the type you might spy in an old country store—wooden crates emblazoned with the names of local dairies, antique apple baskets, seed displays, signs, and scales. Whether you’re setting up your farmstand or styling your entryway, you’ll have plenty of storage options and authentic accents to pick from here. Becky Luigart-Stayner for Country LivingSo many food scales, so little time.Related StoriesJackie BuddieJackie Buddie is a freelance writer with more than a decade of editorial experience covering lifestyle topics including home decor how-tos, fashion trend deep dives, seasonal gift guides, and in-depth profiles of artists and creatives around the globe. She holds a degree in journalism from the University of North Carolina at Chapel Hill and received her M.F.A. in creative writing from Boston University. Jackie is, among other things, a collector of curiosities, Catskills land caretaker, dabbling DIYer, day hiker, and mom. She lives in the hills of Bovina, New York, with her family and her sweet-as-pie rescue dog. #best #hiddengem #etsy #shops #fans
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    The Best Hidden-Gem Etsy Shops for Fans of Farmhouse Style
    Becky Luigart-Stayner for Country LivingCountry Living editors select each product featured. If you buy from a link, we may earn a commission. Why Trust Us?Like a well-made quilt, a classic farmhouse aesthetic comes together gradually—a little bit of this, a touch of that. Each addition is purposeful and personal—and isn’t that what home is all about, really? If this type of slowed-down style speaks to you, you're probably already well aware that Etsy is a treasure trove of finds both new and old to fit your timeless farmhouse aesthetic. But with more than eight million active sellers on its marketplace, sometimes the possibilities—vintage feed sacks! primitive pie safes! galvanized grain scoops!—can quickly go from enticing to overwhelming.To better guide your search for the finest farmhouse furnishings, we’ve gathered a go-to list of editor-and designer-beloved Etsy shops which, time and again, turn out hardworking, homespun pieces of heirloom quality. From beautiful antique bureaus to hand-block-printed table linens, the character-rich wares from these sellers will help you design the farmhouse of your dreams, piece by precious piece. Related Stories For Antique AmericanaAcorn and Alice Every good old-fashioned farmhouse could use some traditional Americana to set the tone, and this Pennsylvania salvage shop offers rustic touches loaded with authentic antique allure. Aged wooden wares abound (think vintage milk crates, orchard fruit baskets, and berry boxes), as well as a grab bag of cotton and burlap feed sacks, perfect for framing as sets or crafting into footstool covers or throw pillows. For French Country TextilesForest and LinenThere’s nothing quite like breezy natural fabrics to make you want to throw open all the windows and let that country air in while the pie cools. Unfussy and lightweight, the hand-crafted curtains, bedding, and table linens from these Lithuanian textile experts have a classic understated quality that would be right at home in the coziest guest room or most bustling kitchen. Warm, welcoming hues range from marigold yellow to cornflower blue, but soft gingham checkers and timeless French ticking feel especially farm-fresh. Our current favorite? These cherry-striped country cafe curtains. Becky Luigart-Stayner for Country LivingVintage red torchons feel right at home in a farmhouse kitchenFor Rustic RugsOld New HouseWhether or not you’re lucky enough to have gorgeous wide-plank floors, an antique area rug or runner can work wonders for giving a room instant character and warmth. This fifth-generation family-run retailer specializes in importing heirloom hand-knotted carpets dating back to the 1800s, with a focus on traditional designs from the masters in Turkey, India, Persia, and more. Their vast variety of sizes and styles offers something for every aesthetic, with one-of-a-kind patterns ranging from distressed neutrals to chain-stitched florals to ornate arabesques. For Pillows and ProvisionsHabitation BohemeIn true farmhouse fashion, this Indiana shop has curated an enticing blend of handcrafted and vintage homewares that work effortlessly well together. A line of cozy hand-stitched linen pillow covers (patterned with everything from block-printed blossoms to provincial pinstripes) sits prettily alongside a mix of found objects, from patinated brass candlesticks and etched cloisonné vases to sturdy stoneware crockery and woven wicker baskets. For Elegant Everyday DishwareConvivial ProductionSimple, yet undeniably stunning, the handcrafted dinnerware from this Missouri-based ceramist is designed with durability in mind. Produced in a single, time-tested shade of ivory white glaze, these practical stoneware cups, bowls, and plates make the perfect place settings for lively farm-to-table feasts with friends and family. Beautifully balancing softness and heft, each dish is meant to feel comfortable when being held and passed, but also to look attractive when stacked upon open shelving. For English Country Antiques1100 West Co.This Illinois antiques shop is stocked with all manner of versatile vintage vessels culled from the English countryside, from massive stoneware crocks to charming little escargot pots. Their collection of neutral containers can be adapted for nearly any provincial purpose (envision white ironstone pitchers piled high with fresh-picked hyacinths, or glass canning jars holding your harvest grains), but we especially love their assortment of old advertising—from toothpaste pots to marmalade jars and ginger beer bottles galore—for a nice little nod to the quintessential country practice of repurposing what you’ve got. Brian Woodcock/Country LivingPretty English ironstone will always have our heart.For a Cozy GlowOlde Brick LightingConstructed by hand from cord to shade, the vintage-inspired lighting produced by this Pennsylvania retailer is a tribute to the iconic quality and character of old American fixtures. Nostalgic design elements include hand-blown glass (crafted using cast-iron molds from over 80 years ago) and finishes ranging from matte black to brushed nickel and antique brass. To create an authentic farmhouse ambiance, check out their gooseneck sconces, enameled red and blue barn lights, and milky white striped schoolhouse flush mounts. For Enduring ArtifactsThrough the PortholeThe weathered, artisan-made wares curated by this California husband-and-wife duo have been hand-selected from around the globe for their time-etched character. From gorgeous gray-black terracotta vases and rust-colored Turkish clay pots to patinated brass cow bells and rustic reclaimed elm stools, each item is a testament to the lasting beauty of classic materials, with storied sun-bleaching and scratches befitting the most beloved, lived-in rooms. For Winsome Wall ArtEugenia Ciotola ArtThrough graceful brushstrokes and textural swirls of paint, Maryland-based artist Eugenia Ciotola has captured the natural joy of a life that’s simple and sweet. Her pieces celebrate quiet scenes of bucolic beauty, from billowing bouquets of peonies to stoic red barns sitting in fields of wavy green. For a parlor gallery or gathering space, we gravitate toward her original oils on canvas—an impasto still life, perhaps, or a plainly frocked maiden carrying a bountiful bowl of lemons—while her stately farm animal portraits (regal roosters! ruff collared geese!) would look lovely in a child’s nursery.For Time-Tested Storage SolutionsMaterials DivisionFunction is forefront for this farmhouse supplier operating out of New York, whose specialized selection of vintage provisions have lived out dutiful lives of purpose. Standouts include a curated offering of trusty antique tool boxes and sturdy steel-clad trunks whose rugged patina tells the story of many-a household project. Meanwhile, a hardworking mix of industrial wire and woven wood gathering baskets sits handsomely alongside heavy-duty galvanized garbage bins and antique fireplace andirons.For Pastoral PrimitivesComfort Work RoomFull of history and heritage, the old, hand-fabricated furnishings and primitive wooden tools in this unique Ukrainian antique shop are rural remnants of simpler times gone by. Quaint kitchen staples like chippy chiseled spoons, scoops, and cutting boards make an accessible entry point for the casual collector, while scuffed up dough troughs, butter churns, washboards, and barrels are highly desirable conversation pieces for any antique enthusiast who’s dedicated to authentic detail. Becky Luigart-Stayner for Country LivingAntique washboards make for on-theme wall art in a laundry roomFor Heirloom-Quality CoverletsBluegrass QuiltsNo layered farmhouse look would be complete without the homey, tactile touch of a hand-pieced quilt or two draped intentionally about the room. From harvest-hued sawtooth stars to playful patchwork pinwheels, each exquisite blanket from this Kentucky-based artisan is slow-crafted in traditional fashion from 100% cotton materials, and can even be custom stitched from scratch to match your personal color palette and decorative purpose. For a classic country aesthetic, try a log cabin, double diamond, or star patch pattern. For Hand-Crafted GiftsSelselaFeaturing a busy barnyard’s worth of plucky chickens, cuddly sheep, and happy little Holstein cows, this Illinois woodworker’s whimsical line of farm figurines and other giftable goodies (think animal wine stoppers, keychains, fridge magnets, and cake toppers) is chock-full of hand-carved charm. Crafted from 100% recycled birch and painted in loving detail, each creature has a deliberately rough-hewn look and feel worthy of any cozy and collected home. For Open-Concept CabinetryFolkhausA hallmark of many modern farmhouses, open-concept shelving has become a stylish way to show that the practical wares you use everyday are the same ones you’re proud to put on display. With their signature line of bracketed wall shelves, Shaker-style peg shelves, and raw steel kitchen rails, the team at Folkhaus has created a range of open storage solutions that beautifully balances elevated design and rustic utility. Rounding out their collection is a selection of open-shelved accent pieces like bookcases, benches, and console tables—each crafted from character-rich kiln-dried timber and finished in your choice of stain.Related StoryFor Antique Farmhouse FurnitureCottage Treasures LVThe foundation of a well-furnished farmhouse often begins with a single prized piece. Whether it’s a slant-front desk, a primitive jelly cabinet, or a punched-tin pie safe, this established New York-based dealer has a knack for sourcing vintage treasures with the personality and presence to anchor an entire space. Distressed cupboards and cabinets may be their bread and butter (just look at this two-piece pine hutch!) but you’ll also find a robust roundup of weathered farm tables, Windsor chairs, and blanket chests—and currently, even a rare 1500s English bench. For Lively Table LinensMoontea StudioAs any devotee of slow decorating knows, sometimes it’s the little details that really bring a look home. For a spot of cheer along with your afternoon tea, we love the hand-stamped table linens from this Washington-based printmaker, which put a peppy, modern spin on farm-fresh produce. Patterned with lush illustrations of bright red tomatoes, crisp green apples, and golden sunflowers—then neatly finished with a color-coordinated hand-stitched trim—each tea towel, placemat, and napkin pays homage to the hours we spend doting over our gardens. For Traditional TransferwarePrior TimeThere’s lots to love about this Massachusetts antiques shop, which admittedly skews slightly cottagecore (the pink Baccarat perfume bottles! the hobnail milk glass vases! the huge primitive bread boards!) but the standout, for us, is the seller’s superior selection of dinner and serving ware. In addition to a lovely lot of mottled white ironstone platters and pitchers, you’ll find a curated mix of Ridgeway and Wedgwood transferware dishes in not only classic cobalt blue, but beautiful browns, greens, and purples, too.Becky Luigart-Stayner for Country LivingPretty brown transferware could be yours with one quick "add to cart."For Folk Art for Your FloorsKinFolk ArtworkDesigned by a West Virginia watercolor and oils artist with a penchant for painting the past, these silky chenille floor mats feature an original cast of colonial characters and folksy scenes modeled after heirloom textiles from the 18th and 19th centuries. Expect lots of early American and patriotic motifs, including old-fashioned flags, Pennsylvania Dutch fraktur, equestrian vignettes, and colonial house samplers—each made to mimic a vintage hooked rug for that cozy, homespun feeling. (We have to admit, the folk art-inspired cow and chicken is our favorite.)For Historical ReproductionsSchooner Bay Co.Even in the most painstakingly appointed interior, buying antique originals isn’t always an option (don’t ask how many times we’ve been outbid at an estate auction). And that’s where this trusted Pennsylvania-based retailer for historical reproductions comes in. Offering a colossal collection of framed art prints, decorative trays, and brass objects (think magnifying glasses, compasses, paperweights, and letter openers), these connoisseurs of the classics have decor for every old-timey aesthetic, whether it’s fox hunt prints for your cabin, Dutch landscapes for your cottage, or primitive animal portraits for your farmstead.For General Store StaplesFarmhouse EclecticsHand-plucked from New England antique shops, estate sales, and auctions, the salvaged sundries from this Massachusetts-based supplier (who grew up in an 1850s farmhouse himself) are the type you might spy in an old country store—wooden crates emblazoned with the names of local dairies, antique apple baskets, seed displays, signs, and scales. Whether you’re setting up your farmstand or styling your entryway, you’ll have plenty of storage options and authentic accents to pick from here. Becky Luigart-Stayner for Country LivingSo many food scales, so little time.Related StoriesJackie BuddieJackie Buddie is a freelance writer with more than a decade of editorial experience covering lifestyle topics including home decor how-tos, fashion trend deep dives, seasonal gift guides, and in-depth profiles of artists and creatives around the globe. She holds a degree in journalism from the University of North Carolina at Chapel Hill and received her M.F.A. in creative writing from Boston University. Jackie is, among other things, a collector of curiosities, Catskills land caretaker, dabbling DIYer, day hiker, and mom. She lives in the hills of Bovina, New York, with her family and her sweet-as-pie rescue dog.
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  • How AI is reshaping the future of healthcare and medical research

    Transcript       
    PETER LEE: “In ‘The Little Black Bag,’ a classic science fiction story, a high-tech doctor’s kit of the future is accidentally transported back to the 1950s, into the shaky hands of a washed-up, alcoholic doctor. The ultimate medical tool, it redeems the doctor wielding it, allowing him to practice gratifyingly heroic medicine. … The tale ends badly for the doctor and his treacherous assistant, but it offered a picture of how advanced technology could transform medicine—powerful when it was written nearly 75 years ago and still so today. What would be the Al equivalent of that little black bag? At this moment when new capabilities are emerging, how do we imagine them into medicine?”          
    This is The AI Revolution in Medicine, Revisited. I’m your host, Peter Lee.   
    Shortly after OpenAI’s GPT-4 was publicly released, Carey Goldberg, Dr. Zak Kohane, and I published The AI Revolution in Medicine to help educate the world of healthcare and medical research about the transformative impact this new generative AI technology could have. But because we wrote the book when GPT-4 was still a secret, we had to speculate. Now, two years later, what did we get right, and what did we get wrong?    
    In this series, we’ll talk to clinicians, patients, hospital administrators, and others to understand the reality of AI in the field and where we go from here.  The book passage I read at the top is from “Chapter 10: The Big Black Bag.” 
    In imagining AI in medicine, Carey, Zak, and I included in our book two fictional accounts. In the first, a medical resident consults GPT-4 on her personal phone as the patient in front of her crashes. Within seconds, it offers an alternate response based on recent literature. In the second account, a 90-year-old woman with several chronic conditions is living independently and receiving near-constant medical support from an AI aide.   
    In our conversations with the guests we’ve spoken to so far, we’ve caught a glimpse of these predicted futures, seeing how clinicians and patients are actually using AI today and how developers are leveraging the technology in the healthcare products and services they’re creating. In fact, that first fictional account isn’t so fictional after all, as most of the doctors in the real world actually appear to be using AI at least occasionally—and sometimes much more than occasionally—to help in their daily clinical work. And as for the second fictional account, which is more of a science fiction account, it seems we are indeed on the verge of a new way of delivering and receiving healthcare, though the future is still very much open. 
    As we continue to examine the current state of AI in healthcare and its potential to transform the field, I’m pleased to welcome Bill Gates and Sébastien Bubeck.  
    Bill may be best known as the co-founder of Microsoft, having created the company with his childhood friend Paul Allen in 1975. He’s now the founder of Breakthrough Energy, which aims to advance clean energy innovation, and TerraPower, a company developing groundbreaking nuclear energy and science technologies. He also chairs the world’s largest philanthropic organization, the Gates Foundation, and focuses on solving a variety of health challenges around the globe and here at home. 
    Sébastien is a research lead at OpenAI. He was previously a distinguished scientist, vice president of AI, and a colleague of mine here at Microsoft, where his work included spearheading the development of the family of small language models known as Phi. While at Microsoft, he also coauthored the discussion-provoking 2023 paper “Sparks of Artificial General Intelligence,” which presented the results of early experiments with GPT-4 conducted by a small team from Microsoft Research.     
    Here’s my conversation with Bill Gates and Sébastien Bubeck. 
    LEE: Bill, welcome. 
    BILL GATES: Thank you. 
    LEE: Seb … 
    SÉBASTIEN BUBECK: Yeah. Hi, hi, Peter. Nice to be here. 
    LEE: You know, one of the things that I’ve been doing just to get the conversation warmed up is to talk about origin stories, and what I mean about origin stories is, you know, what was the first contact that you had with large language models or the concept of generative AI that convinced you or made you think that something really important was happening? 
    And so, Bill, I think I’ve heard the story about, you know, the time when the OpenAI folks—Sam Altman, Greg Brockman, and others—showed you something, but could we hear from you what those early encounters were like and what was going through your mind?  
    GATES: Well, I’d been visiting OpenAI soon after it was created to see things like GPT-2 and to see the little arm they had that was trying to match human manipulation and, you know, looking at their games like Dota that they were trying to get as good as human play. And honestly, I didn’t think the language model stuff they were doing, even when they got to GPT-3, would show the ability to learn, you know, in the same sense that a human reads a biology book and is able to take that knowledge and access it not only to pass a test but also to create new medicines. 
    And so my challenge to them was that if their LLM could get a five on the advanced placement biology test, then I would say, OK, it took biologic knowledge and encoded it in an accessible way and that I didn’t expect them to do that very quickly but it would be profound.  
    And it was only about six months after I challenged them to do that, that an early version of GPT-4 they brought up to a dinner at my house, and in fact, it answered most of the questions that night very well. The one it got totally wrong, we were … because it was so good, we kept thinking, Oh, we must be wrong. It turned out it was a math weaknessthat, you know, we later understood that that was an area of, weirdly, of incredible weakness of those early models. But, you know, that was when I realized, OK, the age of cheap intelligence was at its beginning. 
    LEE: Yeah. So I guess it seems like you had something similar to me in that my first encounters, I actually harbored some skepticism. Is it fair to say you were skeptical before that? 
    GATES: Well, the idea that we’ve figured out how to encode and access knowledge in this very deep sense without even understanding the nature of the encoding, … 
    LEE: Right.  
    GATES: … that is a bit weird.  
    LEE: Yeah. 
    GATES: We have an algorithm that creates the computation, but even say, OK, where is the president’s birthday stored in there? Where is this fact stored in there? The fact that even now when we’re playing around, getting a little bit more sense of it, it’s opaque to us what the semantic encoding is, it’s, kind of, amazing to me. I thought the invention of knowledge storage would be an explicit way of encoding knowledge, not an implicit statistical training. 
    LEE: Yeah, yeah. All right. So, Seb, you know, on this same topic, you know, I got—as we say at Microsoft—I got pulled into the tent. 
    BUBECK: Yes.  
    LEE: Because this was a very secret project. And then, um, I had the opportunity to select a small number of researchers in MSRto join and start investigating this thing seriously. And the first person I pulled in was you. 
    BUBECK: Yeah. 
    LEE: And so what were your first encounters? Because I actually don’t remember what happened then. 
    BUBECK: Oh, I remember it very well.My first encounter with GPT-4 was in a meeting with the two of you, actually. But my kind of first contact, the first moment where I realized that something was happening with generative AI, was before that. And I agree with Bill that I also wasn’t too impressed by GPT-3. 
    I though that it was kind of, you know, very naturally mimicking the web, sort of parroting what was written there in a nice way. Still in a way which seemed very impressive. But it wasn’t really intelligent in any way. But shortly after GPT-3, there was a model before GPT-4 that really shocked me, and this was the first image generation model, DALL-E 1. 
    So that was in 2021. And I will forever remember the press release of OpenAI where they had this prompt of an avocado chair and then you had this image of the avocado chair.And what really shocked me is that clearly the model kind of “understood” what is a chair, what is an avocado, and was able to merge those concepts. 
    So this was really, to me, the first moment where I saw some understanding in those models.  
    LEE: So this was, just to get the timing right, that was before I pulled you into the tent. 
    BUBECK: That was before. That was like a year before. 
    LEE: Right.  
    BUBECK: And now I will tell you how, you know, we went from that moment to the meeting with the two of you and GPT-4. 
    So once I saw this kind of understanding, I thought, OK, fine. It understands concept, but it’s still not able to reason. It cannot—as, you know, Bill was saying—it cannot learn from your document. It cannot reason.  
    So I set out to try to prove that. You know, this is what I was in the business of at the time, trying to prove things in mathematics. So I was trying to prove that basically autoregressive transformers could never reason. So I was trying to prove this. And after a year of work, I had something reasonable to show. And so I had the meeting with the two of you, and I had this example where I wanted to say, there is no way that an LLM is going to be able to do x. 
    And then as soon as I … I don’t know if you remember, Bill. But as soon as I said that, you said, oh, but wait a second. I had, you know, the OpenAI crew at my house recently, and they showed me a new model. Why don’t we ask this new model this question?  
    LEE: Yeah.
    BUBECK: And we did, and it solved it on the spot. And that really, honestly, just changed my life. Like, you know, I had been working for a year trying to say that this was impossible. And just right there, it was shown to be possible.  
    LEE:One of the very first things I got interested in—because I was really thinking a lot about healthcare—was healthcare and medicine. 
    And I don’t know if the two of you remember, but I ended up doing a lot of tests. I ran through, you know, step one and step two of the US Medical Licensing Exam. Did a whole bunch of other things. I wrote this big report. It was, you know, I can’t remember … a couple hundred pages.  
    And I needed to share this with someone. I didn’t … there weren’t too many people I could share it with. So I sent, I think, a copy to you, Bill. Sent a copy to you, Seb.  
    I hardly slept for about a week putting that report together. And, yeah, and I kept working on it. But I was far from alone. I think everyone who was in the tent, so to speak, in those early days was going through something pretty similar. All right. So I think … of course, a lot of what I put in the report also ended up being examples that made it into the book. 
    But the main purpose of this conversation isn’t to reminisce aboutor indulge in those reminiscences but to talk about what’s happening in healthcare and medicine. And, you know, as I said, we wrote this book. We did it very, very quickly. Seb, you helped. Bill, you know, you provided a review and some endorsements. 
    But, you know, honestly, we didn’t know what we were talking about because no one had access to this thing. And so we just made a bunch of guesses. So really, the whole thing I wanted to probe with the two of you is, now with two years of experience out in the world, what, you know, what do we think is happening today? 
    You know, is AI actually having an impact, positive or negative, on healthcare and medicine? And what do we now think is going to happen in the next two years, five years, or 10 years? And so I realize it’s a little bit too abstract to just ask it that way. So let me just try to narrow the discussion and guide us a little bit.  
    Um, the kind of administrative and clerical work, paperwork, around healthcare—and we made a lot of guesses about that—that appears to be going well, but, you know, Bill, I know we’ve discussed that sometimes that you think there ought to be a lot more going on. Do you have a viewpoint on how AI is actually finding its way into reducing paperwork? 
    GATES: Well, I’m stunned … I don’t think there should be a patient-doctor meeting where the AI is not sitting in and both transcribing, offering to help with the paperwork, and even making suggestions, although the doctor will be the one, you know, who makes the final decision about the diagnosis and whatever prescription gets done.  
    It’s so helpful. You know, when that patient goes home and their, you know, son who wants to understand what happened has some questions, that AI should be available to continue that conversation. And the way you can improve that experience and streamline things and, you know, involve the people who advise you. I don’t understand why that’s not more adopted, because there you still have the human in the loop making that final decision. 
    But even for, like, follow-up calls to make sure the patient did things, to understand if they have concerns and knowing when to escalate back to the doctor, the benefit is incredible. And, you know, that thing is ready for prime time. That paradigm is ready for prime time, in my view. 
    LEE: Yeah, there are some good products, but it seems like the number one use right now—and we kind of got this from some of the previous guests in previous episodes—is the use of AI just to respond to emails from patients.Does that make sense to you? 
    BUBECK: Yeah. So maybe I want to second what Bill was saying but maybe take a step back first. You know, two years ago, like, the concept of clinical scribes, which is one of the things that we’re talking about right now, it would have sounded, in fact, it sounded two years ago, borderline dangerous. Because everybody was worried about hallucinations. What happened if you have this AI listening in and then it transcribes, you know, something wrong? 
    Now, two years later, I think it’s mostly working. And in fact, it is not yet, you know, fully adopted. You’re right. But it is in production. It is used, you know, in many, many places. So this rate of progress is astounding because it wasn’t obvious that we would be able to overcome those obstacles of hallucination. It’s not to say that hallucinations are fully solved. In the case of the closed system, they are.  
    Now, I think more generally what’s going on in the background is that there is something that we, that certainly I, underestimated, which is this management overhead. So I think the reason why this is not adopted everywhere is really a training and teaching aspect. People need to be taught, like, those systems, how to interact with them. 
    And one example that I really like, a study that recently appeared where they tried to use ChatGPT for diagnosis and they were comparing doctors without and with ChatGPT. And the amazing thing … so this was a set of cases where the accuracy of the doctors alone was around 75%. ChatGPT alone was 90%. So that’s already kind of mind blowing. But then the kicker is that doctors with ChatGPT was 80%.  
    Intelligence alone is not enough. It’s also how it’s presented, how you interact with it. And ChatGPT, it’s an amazing tool. Obviously, I absolutely love it. But it’s not … you don’t want a doctor to have to type in, you know, prompts and use it that way. 
    It should be, as Bill was saying, kind of running continuously in the background, sending you notifications. And you have to be really careful of the rate at which those notifications are being sent. Because if they are too frequent, then the doctor will learn to ignore them. So you have to … all of those things matter, in fact, at least as much as the level of intelligence of the machine. 
    LEE: One of the things I think about, Bill, in that scenario that you described, doctors do some thinking about the patient when they write the note. So, you know, I’m always a little uncertain whether it’s actually … you know, you wouldn’t necessarily want to fully automate this, I don’t think. Or at least there needs to be some prompt to the doctor to make sure that the doctor puts some thought into what happened in the encounter with the patient. Does that make sense to you at all? 
    GATES: At this stage, you know, I’d still put the onus on the doctor to write the conclusions and the summary and not delegate that. 
    The tradeoffs you make a little bit are somewhat dependent on the situation you’re in. If you’re in Africa,
    So, yes, the doctor’s still going to have to do a lot of work, but just the quality of letting the patient and the people around them interact and ask questions and have things explained, that alone is such a quality improvement. It’s mind blowing.  
    LEE: So since you mentioned, you know, Africa—and, of course, this touches on the mission and some of the priorities of the Gates Foundation and this idea of democratization of access to expert medical care—what’s the most interesting stuff going on right now? Are there people and organizations or technologies that are impressing you or that you’re tracking? 
    GATES: Yeah. So the Gates Foundation has given out a lot of grants to people in Africa doing education, agriculture but more healthcare examples than anything. And the way these things start off, they often start out either being patient-centric in a narrow situation, like, OK, I’m a pregnant woman; talk to me. Or, I have infectious disease symptoms; talk to me. Or they’re connected to a health worker where they’re helping that worker get their job done. And we have lots of pilots out, you know, in both of those cases.  
    The dream would be eventually to have the thing the patient consults be so broad that it’s like having a doctor available who understands the local things.  
    LEE: Right.  
    GATES: We’re not there yet. But over the next two or three years, you know, particularly given the worsening financial constraints against African health systems, where the withdrawal of money has been dramatic, you know, figuring out how to take this—what I sometimes call “free intelligence”—and build a quality health system around that, we will have to be more radical in low-income countries than any rich country is ever going to be.  
    LEE: Also, there’s maybe a different regulatory environment, so some of those things maybe are easier? Because right now, I think the world hasn’t figured out how to and whether to regulate, let’s say, an AI that might give a medical diagnosis or write a prescription for a medication. 
    BUBECK: Yeah. I think one issue with this, and it’s also slowing down the deployment of AI in healthcare more generally, is a lack of proper benchmark. Because, you know, you were mentioning the USMLE, for example. That’s a great test to test human beings and their knowledge of healthcare and medicine. But it’s not a great test to give to an AI. 
    It’s not asking the right questions. So finding what are the right questions to test whether an AI system is ready to give diagnosis in a constrained setting, that’s a very, very important direction, which to my surprise, is not yet accelerating at the rate that I was hoping for. 
    LEE: OK, so that gives me an excuse to get more now into the core AI tech because something I’ve discussed with both of you is this issue of what are the right tests. And you both know the very first test I give to any new spin of an LLM is I present a patient, the results—a mythical patient—the results of my physical exam, my mythical physical exam. Maybe some results of some initial labs. And then I present or propose a differential diagnosis. And if you’re not in medicine, a differential diagnosis you can just think of as a prioritized list of the possible diagnoses that fit with all that data. And in that proposed differential, I always intentionally make two mistakes. 
    I make a textbook technical error in one of the possible elements of the differential diagnosis, and I have an error of omission. And, you know, I just want to know, does the LLM understand what I’m talking about? And all the good ones out there do now. But then I want to know, can it spot the errors? And then most importantly, is it willing to tell me I’m wrong, that I’ve made a mistake?  
    That last piece seems really hard for AI today. And so let me ask you first, Seb, because at the time of this taping, of course, there was a new spin of GPT-4o last week that became overly sycophantic. In other words, it was actually prone in that test of mine not only to not tell me I’m wrong, but it actually praised me for the creativity of my differential.What’s up with that? 
    BUBECK: Yeah, I guess it’s a testament to the fact that training those models is still more of an art than a science. So it’s a difficult job. Just to be clear with the audience, we have rolled back thatversion of GPT-4o, so now we don’t have the sycophant version out there. 
    Yeah, no, it’s a really difficult question. It has to do … as you said, it’s very technical. It has to do with the post-training and how, like, where do you nudge the model? So, you know, there is this very classical by now technique called RLHF, where you push the model in the direction of a certain reward model. So the reward model is just telling the model, you know, what behavior is good, what behavior is bad. 
    But this reward model is itself an LLM, and, you know, Bill was saying at the very beginning of the conversation that we don’t really understand how those LLMs deal with concepts like, you know, where is the capital of France located? Things like that. It is the same thing for this reward model. We don’t know why it says that it prefers one output to another, and whether this is correlated with some sycophancy is, you know, something that we discovered basically just now. That if you push too hard in optimization on this reward model, you will get a sycophant model. 
    So it’s kind of … what I’m trying to say is we became too good at what we were doing, and we ended up, in fact, in a trap of the reward model. 
    LEE: I mean, you do want … it’s a difficult balance because you do want models to follow your desires and … 
    BUBECK: It’s a very difficult, very difficult balance. 
    LEE: So this brings up then the following question for me, which is the extent to which we think we’ll need to have specially trained models for things. So let me start with you, Bill. Do you have a point of view on whether we will need to, you know, quote-unquote take AI models to med school? Have them specially trained? Like, if you were going to deploy something to give medical care in underserved parts of the world, do we need to do something special to create those models? 
    GATES: We certainly need to teach them the African languages and the unique dialects so that the multimedia interactions are very high quality. We certainly need to teach them the disease prevalence and unique disease patterns like, you know, neglected tropical diseases and malaria. So we need to gather a set of facts that somebody trying to go for a US customer base, you know, wouldn’t necessarily have that in there. 
    Those two things are actually very straightforward because the additional training time is small. I’d say for the next few years, we’ll also need to do reinforcement learning about the context of being a doctor and how important certain behaviors are. Humans learn over the course of their life to some degree that, I’m in a different context and the way I behave in terms of being willing to criticize or be nice, you know, how important is it? Who’s here? What’s my relationship to them?  
    Right now, these machines don’t have that broad social experience. And so if you know it’s going to be used for health things, a lot of reinforcement learning of the very best humans in that context would still be valuable. Eventually, the models will, having read all the literature of the world about good doctors, bad doctors, it’ll understand as soon as you say, “I want you to be a doctor diagnosing somebody.” All of the implicit reinforcement that fits that situation, you know, will be there.
    LEE: Yeah.
    GATES: And so I hope three years from now, we don’t have to do that reinforcement learning. But today, for any medical context, you would want a lot of data to reinforce tone, willingness to say things when, you know, there might be something significant at stake. 
    LEE: Yeah. So, you know, something Bill said, kind of, reminds me of another thing that I think we missed, which is, the context also … and the specialization also pertains to different, I guess, what we still call “modes,” although I don’t know if the idea of multimodal is the same as it was two years ago. But, you know, what do you make of all of the hubbub around—in fact, within Microsoft Research, this is a big deal, but I think we’re far from alone—you know, medical images and vision, video, proteins and molecules, cell, you know, cellular data and so on. 
    BUBECK: Yeah. OK. So there is a lot to say to everything … to the last, you know, couple of minutes. Maybe on the specialization aspect, you know, I think there is, hiding behind this, a really fundamental scientific question of whether eventually we have a singular AGIthat kind of knows everything and you can just put, you know, explain your own context and it will just get it and understand everything. 
    That’s one vision. I have to say, I don’t particularly believe in this vision. In fact, we humans are not like that at all. I think, hopefully, we are general intelligences, yet we have to specialize a lot. And, you know, I did myself a lot of RL, reinforcement learning, on mathematics. Like, that’s what I did, you know, spent a lot of time doing that. And I didn’t improve on other aspects. You know, in fact, I probably degraded in other aspects.So it’s … I think it’s an important example to have in mind. 
    LEE: I think I might disagree with you on that, though, because, like, doesn’t a model have to see both good science and bad science in order to be able to gain the ability to discern between the two? 
    BUBECK: Yeah, no, that absolutely. I think there is value in seeing the generality, in having a very broad base. But then you, kind of, specialize on verticals. And this is where also, you know, open-weights model, which we haven’t talked about yet, are really important because they allow you to provide this broad base to everyone. And then you can specialize on top of it. 
    LEE: So we have about three hours of stuff to talk about, but our time is actually running low.
    BUBECK: Yes, yes, yes.  
    LEE: So I think I want … there’s a more provocative question. It’s almost a silly question, but I need to ask it of the two of you, which is, is there a future, you know, where AI replaces doctors or replaces, you know, medical specialties that we have today? So what does the world look like, say, five years from now? 
    GATES: Well, it’s important to distinguish healthcare discovery activity from healthcare delivery activity. We focused mostly on delivery. I think it’s very much within the realm of possibility that the AI is not only accelerating healthcare discovery but substituting for a lot of the roles of, you know, I’m an organic chemist, or I run various types of assays. I can see those, which are, you know, testable-output-type jobs but with still very high value, I can see, you know, some replacement in those areas before the doctor.  
    The doctor, still understanding the human condition and long-term dialogues, you know, they’ve had a lifetime of reinforcement of that, particularly when you get into areas like mental health. So I wouldn’t say in five years, either people will choose to adopt it, but it will be profound that there’ll be this nearly free intelligence that can do follow-up, that can help you, you know, make sure you went through different possibilities. 
    And so I’d say, yes, we’ll have doctors, but I’d say healthcare will be massively transformed in its quality and in efficiency by AI in that time period. 
    LEE: Is there a comparison, useful comparison, say, between doctors and, say, programmers, computer programmers, or doctors and, I don’t know, lawyers? 
    GATES: Programming is another one that has, kind of, a mathematical correctness to it, you know, and so the objective function that you’re trying to reinforce to, as soon as you can understand the state machines, you can have something that’s “checkable”; that’s correct. So I think programming, you know, which is weird to say, that the machine will beat us at most programming tasks before we let it take over roles that have deep empathy, you know, physical presence and social understanding in them. 
    LEE: Yeah. By the way, you know, I fully expect in five years that AI will produce mathematical proofs that are checkable for validity, easily checkable, because they’ll be written in a proof-checking language like Lean or something but will be so complex that no human mathematician can understand them. I expect that to happen.  
    I can imagine in some fields, like cellular biology, we could have the same situation in the future because the molecular pathways, the chemistry, biochemistry of human cells or living cells is as complex as any mathematics, and so it seems possible that we may be in a state where in wet lab, we see, Oh yeah, this actually works, but no one can understand why. 
    BUBECK: Yeah, absolutely. I mean, I think I really agree with Bill’s distinction of the discovery and the delivery, and indeed, the discovery’s when you can check things, and at the end, there is an artifact that you can verify. You know, you can run the protocol in the wet lab and seeproduced what you wanted. So I absolutely agree with that.  
    And in fact, you know, we don’t have to talk five years from now. I don’t know if you know, but just recently, there was a paper that was published on a scientific discovery using o3- mini. So this is really amazing. And, you know, just very quickly, just so people know, it was about this statistical physics model, the frustrated Potts model, which has to do with coloring, and basically, the case of three colors, like, more than two colors was open for a long time, and o3 was able to reduce the case of three colors to two colors.  
    LEE: Yeah. 
    BUBECK: Which is just, like, astounding. And this is not … this is now. This is happening right now. So this is something that I personally didn’t expect it would happen so quickly, and it’s due to those reasoning models.  
    Now, on the delivery side, I would add something more to it for the reason why doctors and, in fact, lawyers and coders will remain for a long time, and it’s because we still don’t understand how those models generalize. Like, at the end of the day, we are not able to tell you when they are confronted with a really new, novel situation, whether they will work or not. 
    Nobody is able to give you that guarantee. And I think until we understand this generalization better, we’re not going to be willing to just let the system in the wild without human supervision. 
    LEE: But don’t human doctors, human specialists … so, for example, a cardiologist sees a patient in a certain way that a nephrologist … 
    BUBECK: Yeah.
    LEE: … or an endocrinologist might not.
    BUBECK: That’s right. But another cardiologist will understand and, kind of, expect a certain level of generalization from their peer. And this, we just don’t have it with AI models. Now, of course, you’re exactly right. That generalization is also hard for humans. Like, if you have a human trained for one task and you put them into another task, then you don’t … you often don’t know.
    LEE: OK. You know, the podcast is focused on what’s happened over the last two years. But now, I’d like one provocative prediction about what you think the world of AI and medicine is going to be at some point in the future. You pick your timeframe. I don’t care if it’s two years or 20 years from now, but, you know, what do you think will be different about AI in medicine in that future than today? 
    BUBECK: Yeah, I think the deployment is going to accelerate soon. Like, we’re really not missing very much. There is this enormous capability overhang. Like, even if progress completely stopped, with current systems, we can do a lot more than what we’re doing right now. So I think this will … this has to be realized, you know, sooner rather than later. 
    And I think it’s probably dependent on these benchmarks and proper evaluation and tying this with regulation. So these are things that take time in human society and for good reason. But now we already are at two years; you know, give it another two years and it should be really …  
    LEE: Will AI prescribe your medicines? Write your prescriptions? 
    BUBECK: I think yes. I think yes. 
    LEE: OK. Bill? 
    GATES: Well, I think the next two years, we’ll have massive pilots, and so the amount of use of the AI, still in a copilot-type mode, you know, we should get millions of patient visits, you know, both in general medicine and in the mental health side, as well. And I think that’s going to build up both the data and the confidence to give the AI some additional autonomy. You know, are you going to let it talk to you at night when you’re panicked about your mental health with some ability to escalate?
    And, you know, I’ve gone so far as to tell politicians with national health systems that if they deploy AI appropriately, that the quality of care, the overload of the doctors, the improvement in the economics will be enough that their voters will be stunned because they just don’t expect this, and, you know, they could be reelectedjust on this one thing of fixing what is a very overloaded and economically challenged health system in these rich countries. 
    You know, my personal role is going to be to make sure that in the poorer countries, there isn’t some lag; in fact, in many cases, that we’ll be more aggressive because, you know, we’re comparing to having no access to doctors at all. And, you know, so I think whether it’s India or Africa, there’ll be lessons that are globally valuable because we need medical intelligence. And, you know, thank god AI is going to provide a lot of that. 
    LEE: Well, on that optimistic note, I think that’s a good way to end. Bill, Seb, really appreciate all of this.  
    I think the most fundamental prediction we made in the book is that AI would actually find its way into the practice of medicine, and I think that that at least has come true, maybe in different ways than we expected, but it’s come true, and I think it’ll only accelerate from here. So thanks again, both of you.  
    GATES: Yeah. Thanks, you guys. 
    BUBECK: Thank you, Peter. Thanks, Bill. 
    LEE: I just always feel such a sense of privilege to have a chance to interact and actually work with people like Bill and Sébastien.   
    With Bill, I’m always amazed at how practically minded he is. He’s really thinking about the nuts and bolts of what AI might be able to do for people, and his thoughts about underserved parts of the world, the idea that we might actually be able to empower people with access to expert medical knowledge, I think is both inspiring and amazing.  
    And then, Seb, Sébastien Bubeck, he’s just absolutely a brilliant mind. He has a really firm grip on the deep mathematics of artificial intelligence and brings that to bear in his research and development work. And where that mathematics takes him isn’t just into the nuts and bolts of algorithms but into philosophical questions about the nature of intelligence.  
    One of the things that Sébastien brought up was the state of evaluation of AI systems. And indeed, he was fairly critical in our conversation. But of course, the world of AI research and development is just moving so fast, and indeed, since we recorded our conversation, OpenAI, in fact, released a new evaluation metric that is directly relevant to medical applications, and that is something called HealthBench. And Microsoft Research also released a new evaluation approach or process called ADeLe.  
    HealthBench and ADeLe are examples of new approaches to evaluating AI models that are less about testing their knowledge and ability to pass multiple-choice exams and instead are evaluation approaches designed to assess how well AI models are able to complete tasks that actually arise every day in typical healthcare or biomedical research settings. These are examples of really important good work that speak to how well AI models work in the real world of healthcare and biomedical research and how well they can collaborate with human beings in those settings. 
    You know, I asked Bill and Seb to make some predictions about the future. You know, my own answer, I expect that we’re going to be able to use AI to change how we diagnose patients, change how we decide treatment options.  
    If you’re a doctor or a nurse and you encounter a patient, you’ll ask questions, do a physical exam, you know, call out for labs just like you do today, but then you’ll be able to engage with AI based on all of that data and just ask, you know, based on all the other people who have gone through the same experience, who have similar data, how were they diagnosed? How were they treated? What were their outcomes? And what does that mean for the patient I have right now? Some people call it the “patients like me” paradigm. And I think that’s going to become real because of AI within our lifetimes. That idea of really grounding the delivery in healthcare and medical practice through data and intelligence, I actually now don’t see any barriers to that future becoming real.  
    I’d like to extend another big thank you to Bill and Sébastien for their time. And to our listeners, as always, it’s a pleasure to have you along for the ride. I hope you’ll join us for our remaining conversations, as well as a second coauthor roundtable with Carey and Zak.  
    Until next time.  
    #how #reshaping #future #healthcare #medical
    How AI is reshaping the future of healthcare and medical research
    Transcript        PETER LEE: “In ‘The Little Black Bag,’ a classic science fiction story, a high-tech doctor’s kit of the future is accidentally transported back to the 1950s, into the shaky hands of a washed-up, alcoholic doctor. The ultimate medical tool, it redeems the doctor wielding it, allowing him to practice gratifyingly heroic medicine. … The tale ends badly for the doctor and his treacherous assistant, but it offered a picture of how advanced technology could transform medicine—powerful when it was written nearly 75 years ago and still so today. What would be the Al equivalent of that little black bag? At this moment when new capabilities are emerging, how do we imagine them into medicine?”           This is The AI Revolution in Medicine, Revisited. I’m your host, Peter Lee.    Shortly after OpenAI’s GPT-4 was publicly released, Carey Goldberg, Dr. Zak Kohane, and I published The AI Revolution in Medicine to help educate the world of healthcare and medical research about the transformative impact this new generative AI technology could have. But because we wrote the book when GPT-4 was still a secret, we had to speculate. Now, two years later, what did we get right, and what did we get wrong?     In this series, we’ll talk to clinicians, patients, hospital administrators, and others to understand the reality of AI in the field and where we go from here.  The book passage I read at the top is from “Chapter 10: The Big Black Bag.”  In imagining AI in medicine, Carey, Zak, and I included in our book two fictional accounts. In the first, a medical resident consults GPT-4 on her personal phone as the patient in front of her crashes. Within seconds, it offers an alternate response based on recent literature. In the second account, a 90-year-old woman with several chronic conditions is living independently and receiving near-constant medical support from an AI aide.    In our conversations with the guests we’ve spoken to so far, we’ve caught a glimpse of these predicted futures, seeing how clinicians and patients are actually using AI today and how developers are leveraging the technology in the healthcare products and services they’re creating. In fact, that first fictional account isn’t so fictional after all, as most of the doctors in the real world actually appear to be using AI at least occasionally—and sometimes much more than occasionally—to help in their daily clinical work. And as for the second fictional account, which is more of a science fiction account, it seems we are indeed on the verge of a new way of delivering and receiving healthcare, though the future is still very much open.  As we continue to examine the current state of AI in healthcare and its potential to transform the field, I’m pleased to welcome Bill Gates and Sébastien Bubeck.   Bill may be best known as the co-founder of Microsoft, having created the company with his childhood friend Paul Allen in 1975. He’s now the founder of Breakthrough Energy, which aims to advance clean energy innovation, and TerraPower, a company developing groundbreaking nuclear energy and science technologies. He also chairs the world’s largest philanthropic organization, the Gates Foundation, and focuses on solving a variety of health challenges around the globe and here at home.  Sébastien is a research lead at OpenAI. He was previously a distinguished scientist, vice president of AI, and a colleague of mine here at Microsoft, where his work included spearheading the development of the family of small language models known as Phi. While at Microsoft, he also coauthored the discussion-provoking 2023 paper “Sparks of Artificial General Intelligence,” which presented the results of early experiments with GPT-4 conducted by a small team from Microsoft Research.      Here’s my conversation with Bill Gates and Sébastien Bubeck.  LEE: Bill, welcome.  BILL GATES: Thank you.  LEE: Seb …  SÉBASTIEN BUBECK: Yeah. Hi, hi, Peter. Nice to be here.  LEE: You know, one of the things that I’ve been doing just to get the conversation warmed up is to talk about origin stories, and what I mean about origin stories is, you know, what was the first contact that you had with large language models or the concept of generative AI that convinced you or made you think that something really important was happening?  And so, Bill, I think I’ve heard the story about, you know, the time when the OpenAI folks—Sam Altman, Greg Brockman, and others—showed you something, but could we hear from you what those early encounters were like and what was going through your mind?   GATES: Well, I’d been visiting OpenAI soon after it was created to see things like GPT-2 and to see the little arm they had that was trying to match human manipulation and, you know, looking at their games like Dota that they were trying to get as good as human play. And honestly, I didn’t think the language model stuff they were doing, even when they got to GPT-3, would show the ability to learn, you know, in the same sense that a human reads a biology book and is able to take that knowledge and access it not only to pass a test but also to create new medicines.  And so my challenge to them was that if their LLM could get a five on the advanced placement biology test, then I would say, OK, it took biologic knowledge and encoded it in an accessible way and that I didn’t expect them to do that very quickly but it would be profound.   And it was only about six months after I challenged them to do that, that an early version of GPT-4 they brought up to a dinner at my house, and in fact, it answered most of the questions that night very well. The one it got totally wrong, we were … because it was so good, we kept thinking, Oh, we must be wrong. It turned out it was a math weaknessthat, you know, we later understood that that was an area of, weirdly, of incredible weakness of those early models. But, you know, that was when I realized, OK, the age of cheap intelligence was at its beginning.  LEE: Yeah. So I guess it seems like you had something similar to me in that my first encounters, I actually harbored some skepticism. Is it fair to say you were skeptical before that?  GATES: Well, the idea that we’ve figured out how to encode and access knowledge in this very deep sense without even understanding the nature of the encoding, …  LEE: Right.   GATES: … that is a bit weird.   LEE: Yeah.  GATES: We have an algorithm that creates the computation, but even say, OK, where is the president’s birthday stored in there? Where is this fact stored in there? The fact that even now when we’re playing around, getting a little bit more sense of it, it’s opaque to us what the semantic encoding is, it’s, kind of, amazing to me. I thought the invention of knowledge storage would be an explicit way of encoding knowledge, not an implicit statistical training.  LEE: Yeah, yeah. All right. So, Seb, you know, on this same topic, you know, I got—as we say at Microsoft—I got pulled into the tent.  BUBECK: Yes.   LEE: Because this was a very secret project. And then, um, I had the opportunity to select a small number of researchers in MSRto join and start investigating this thing seriously. And the first person I pulled in was you.  BUBECK: Yeah.  LEE: And so what were your first encounters? Because I actually don’t remember what happened then.  BUBECK: Oh, I remember it very well.My first encounter with GPT-4 was in a meeting with the two of you, actually. But my kind of first contact, the first moment where I realized that something was happening with generative AI, was before that. And I agree with Bill that I also wasn’t too impressed by GPT-3.  I though that it was kind of, you know, very naturally mimicking the web, sort of parroting what was written there in a nice way. Still in a way which seemed very impressive. But it wasn’t really intelligent in any way. But shortly after GPT-3, there was a model before GPT-4 that really shocked me, and this was the first image generation model, DALL-E 1.  So that was in 2021. And I will forever remember the press release of OpenAI where they had this prompt of an avocado chair and then you had this image of the avocado chair.And what really shocked me is that clearly the model kind of “understood” what is a chair, what is an avocado, and was able to merge those concepts.  So this was really, to me, the first moment where I saw some understanding in those models.   LEE: So this was, just to get the timing right, that was before I pulled you into the tent.  BUBECK: That was before. That was like a year before.  LEE: Right.   BUBECK: And now I will tell you how, you know, we went from that moment to the meeting with the two of you and GPT-4.  So once I saw this kind of understanding, I thought, OK, fine. It understands concept, but it’s still not able to reason. It cannot—as, you know, Bill was saying—it cannot learn from your document. It cannot reason.   So I set out to try to prove that. You know, this is what I was in the business of at the time, trying to prove things in mathematics. So I was trying to prove that basically autoregressive transformers could never reason. So I was trying to prove this. And after a year of work, I had something reasonable to show. And so I had the meeting with the two of you, and I had this example where I wanted to say, there is no way that an LLM is going to be able to do x.  And then as soon as I … I don’t know if you remember, Bill. But as soon as I said that, you said, oh, but wait a second. I had, you know, the OpenAI crew at my house recently, and they showed me a new model. Why don’t we ask this new model this question?   LEE: Yeah. BUBECK: And we did, and it solved it on the spot. And that really, honestly, just changed my life. Like, you know, I had been working for a year trying to say that this was impossible. And just right there, it was shown to be possible.   LEE:One of the very first things I got interested in—because I was really thinking a lot about healthcare—was healthcare and medicine.  And I don’t know if the two of you remember, but I ended up doing a lot of tests. I ran through, you know, step one and step two of the US Medical Licensing Exam. Did a whole bunch of other things. I wrote this big report. It was, you know, I can’t remember … a couple hundred pages.   And I needed to share this with someone. I didn’t … there weren’t too many people I could share it with. So I sent, I think, a copy to you, Bill. Sent a copy to you, Seb.   I hardly slept for about a week putting that report together. And, yeah, and I kept working on it. But I was far from alone. I think everyone who was in the tent, so to speak, in those early days was going through something pretty similar. All right. So I think … of course, a lot of what I put in the report also ended up being examples that made it into the book.  But the main purpose of this conversation isn’t to reminisce aboutor indulge in those reminiscences but to talk about what’s happening in healthcare and medicine. And, you know, as I said, we wrote this book. We did it very, very quickly. Seb, you helped. Bill, you know, you provided a review and some endorsements.  But, you know, honestly, we didn’t know what we were talking about because no one had access to this thing. And so we just made a bunch of guesses. So really, the whole thing I wanted to probe with the two of you is, now with two years of experience out in the world, what, you know, what do we think is happening today?  You know, is AI actually having an impact, positive or negative, on healthcare and medicine? And what do we now think is going to happen in the next two years, five years, or 10 years? And so I realize it’s a little bit too abstract to just ask it that way. So let me just try to narrow the discussion and guide us a little bit.   Um, the kind of administrative and clerical work, paperwork, around healthcare—and we made a lot of guesses about that—that appears to be going well, but, you know, Bill, I know we’ve discussed that sometimes that you think there ought to be a lot more going on. Do you have a viewpoint on how AI is actually finding its way into reducing paperwork?  GATES: Well, I’m stunned … I don’t think there should be a patient-doctor meeting where the AI is not sitting in and both transcribing, offering to help with the paperwork, and even making suggestions, although the doctor will be the one, you know, who makes the final decision about the diagnosis and whatever prescription gets done.   It’s so helpful. You know, when that patient goes home and their, you know, son who wants to understand what happened has some questions, that AI should be available to continue that conversation. And the way you can improve that experience and streamline things and, you know, involve the people who advise you. I don’t understand why that’s not more adopted, because there you still have the human in the loop making that final decision.  But even for, like, follow-up calls to make sure the patient did things, to understand if they have concerns and knowing when to escalate back to the doctor, the benefit is incredible. And, you know, that thing is ready for prime time. That paradigm is ready for prime time, in my view.  LEE: Yeah, there are some good products, but it seems like the number one use right now—and we kind of got this from some of the previous guests in previous episodes—is the use of AI just to respond to emails from patients.Does that make sense to you?  BUBECK: Yeah. So maybe I want to second what Bill was saying but maybe take a step back first. You know, two years ago, like, the concept of clinical scribes, which is one of the things that we’re talking about right now, it would have sounded, in fact, it sounded two years ago, borderline dangerous. Because everybody was worried about hallucinations. What happened if you have this AI listening in and then it transcribes, you know, something wrong?  Now, two years later, I think it’s mostly working. And in fact, it is not yet, you know, fully adopted. You’re right. But it is in production. It is used, you know, in many, many places. So this rate of progress is astounding because it wasn’t obvious that we would be able to overcome those obstacles of hallucination. It’s not to say that hallucinations are fully solved. In the case of the closed system, they are.   Now, I think more generally what’s going on in the background is that there is something that we, that certainly I, underestimated, which is this management overhead. So I think the reason why this is not adopted everywhere is really a training and teaching aspect. People need to be taught, like, those systems, how to interact with them.  And one example that I really like, a study that recently appeared where they tried to use ChatGPT for diagnosis and they were comparing doctors without and with ChatGPT. And the amazing thing … so this was a set of cases where the accuracy of the doctors alone was around 75%. ChatGPT alone was 90%. So that’s already kind of mind blowing. But then the kicker is that doctors with ChatGPT was 80%.   Intelligence alone is not enough. It’s also how it’s presented, how you interact with it. And ChatGPT, it’s an amazing tool. Obviously, I absolutely love it. But it’s not … you don’t want a doctor to have to type in, you know, prompts and use it that way.  It should be, as Bill was saying, kind of running continuously in the background, sending you notifications. And you have to be really careful of the rate at which those notifications are being sent. Because if they are too frequent, then the doctor will learn to ignore them. So you have to … all of those things matter, in fact, at least as much as the level of intelligence of the machine.  LEE: One of the things I think about, Bill, in that scenario that you described, doctors do some thinking about the patient when they write the note. So, you know, I’m always a little uncertain whether it’s actually … you know, you wouldn’t necessarily want to fully automate this, I don’t think. Or at least there needs to be some prompt to the doctor to make sure that the doctor puts some thought into what happened in the encounter with the patient. Does that make sense to you at all?  GATES: At this stage, you know, I’d still put the onus on the doctor to write the conclusions and the summary and not delegate that.  The tradeoffs you make a little bit are somewhat dependent on the situation you’re in. If you’re in Africa, So, yes, the doctor’s still going to have to do a lot of work, but just the quality of letting the patient and the people around them interact and ask questions and have things explained, that alone is such a quality improvement. It’s mind blowing.   LEE: So since you mentioned, you know, Africa—and, of course, this touches on the mission and some of the priorities of the Gates Foundation and this idea of democratization of access to expert medical care—what’s the most interesting stuff going on right now? Are there people and organizations or technologies that are impressing you or that you’re tracking?  GATES: Yeah. So the Gates Foundation has given out a lot of grants to people in Africa doing education, agriculture but more healthcare examples than anything. And the way these things start off, they often start out either being patient-centric in a narrow situation, like, OK, I’m a pregnant woman; talk to me. Or, I have infectious disease symptoms; talk to me. Or they’re connected to a health worker where they’re helping that worker get their job done. And we have lots of pilots out, you know, in both of those cases.   The dream would be eventually to have the thing the patient consults be so broad that it’s like having a doctor available who understands the local things.   LEE: Right.   GATES: We’re not there yet. But over the next two or three years, you know, particularly given the worsening financial constraints against African health systems, where the withdrawal of money has been dramatic, you know, figuring out how to take this—what I sometimes call “free intelligence”—and build a quality health system around that, we will have to be more radical in low-income countries than any rich country is ever going to be.   LEE: Also, there’s maybe a different regulatory environment, so some of those things maybe are easier? Because right now, I think the world hasn’t figured out how to and whether to regulate, let’s say, an AI that might give a medical diagnosis or write a prescription for a medication.  BUBECK: Yeah. I think one issue with this, and it’s also slowing down the deployment of AI in healthcare more generally, is a lack of proper benchmark. Because, you know, you were mentioning the USMLE, for example. That’s a great test to test human beings and their knowledge of healthcare and medicine. But it’s not a great test to give to an AI.  It’s not asking the right questions. So finding what are the right questions to test whether an AI system is ready to give diagnosis in a constrained setting, that’s a very, very important direction, which to my surprise, is not yet accelerating at the rate that I was hoping for.  LEE: OK, so that gives me an excuse to get more now into the core AI tech because something I’ve discussed with both of you is this issue of what are the right tests. And you both know the very first test I give to any new spin of an LLM is I present a patient, the results—a mythical patient—the results of my physical exam, my mythical physical exam. Maybe some results of some initial labs. And then I present or propose a differential diagnosis. And if you’re not in medicine, a differential diagnosis you can just think of as a prioritized list of the possible diagnoses that fit with all that data. And in that proposed differential, I always intentionally make two mistakes.  I make a textbook technical error in one of the possible elements of the differential diagnosis, and I have an error of omission. And, you know, I just want to know, does the LLM understand what I’m talking about? And all the good ones out there do now. But then I want to know, can it spot the errors? And then most importantly, is it willing to tell me I’m wrong, that I’ve made a mistake?   That last piece seems really hard for AI today. And so let me ask you first, Seb, because at the time of this taping, of course, there was a new spin of GPT-4o last week that became overly sycophantic. In other words, it was actually prone in that test of mine not only to not tell me I’m wrong, but it actually praised me for the creativity of my differential.What’s up with that?  BUBECK: Yeah, I guess it’s a testament to the fact that training those models is still more of an art than a science. So it’s a difficult job. Just to be clear with the audience, we have rolled back thatversion of GPT-4o, so now we don’t have the sycophant version out there.  Yeah, no, it’s a really difficult question. It has to do … as you said, it’s very technical. It has to do with the post-training and how, like, where do you nudge the model? So, you know, there is this very classical by now technique called RLHF, where you push the model in the direction of a certain reward model. So the reward model is just telling the model, you know, what behavior is good, what behavior is bad.  But this reward model is itself an LLM, and, you know, Bill was saying at the very beginning of the conversation that we don’t really understand how those LLMs deal with concepts like, you know, where is the capital of France located? Things like that. It is the same thing for this reward model. We don’t know why it says that it prefers one output to another, and whether this is correlated with some sycophancy is, you know, something that we discovered basically just now. That if you push too hard in optimization on this reward model, you will get a sycophant model.  So it’s kind of … what I’m trying to say is we became too good at what we were doing, and we ended up, in fact, in a trap of the reward model.  LEE: I mean, you do want … it’s a difficult balance because you do want models to follow your desires and …  BUBECK: It’s a very difficult, very difficult balance.  LEE: So this brings up then the following question for me, which is the extent to which we think we’ll need to have specially trained models for things. So let me start with you, Bill. Do you have a point of view on whether we will need to, you know, quote-unquote take AI models to med school? Have them specially trained? Like, if you were going to deploy something to give medical care in underserved parts of the world, do we need to do something special to create those models?  GATES: We certainly need to teach them the African languages and the unique dialects so that the multimedia interactions are very high quality. We certainly need to teach them the disease prevalence and unique disease patterns like, you know, neglected tropical diseases and malaria. So we need to gather a set of facts that somebody trying to go for a US customer base, you know, wouldn’t necessarily have that in there.  Those two things are actually very straightforward because the additional training time is small. I’d say for the next few years, we’ll also need to do reinforcement learning about the context of being a doctor and how important certain behaviors are. Humans learn over the course of their life to some degree that, I’m in a different context and the way I behave in terms of being willing to criticize or be nice, you know, how important is it? Who’s here? What’s my relationship to them?   Right now, these machines don’t have that broad social experience. And so if you know it’s going to be used for health things, a lot of reinforcement learning of the very best humans in that context would still be valuable. Eventually, the models will, having read all the literature of the world about good doctors, bad doctors, it’ll understand as soon as you say, “I want you to be a doctor diagnosing somebody.” All of the implicit reinforcement that fits that situation, you know, will be there. LEE: Yeah. GATES: And so I hope three years from now, we don’t have to do that reinforcement learning. But today, for any medical context, you would want a lot of data to reinforce tone, willingness to say things when, you know, there might be something significant at stake.  LEE: Yeah. So, you know, something Bill said, kind of, reminds me of another thing that I think we missed, which is, the context also … and the specialization also pertains to different, I guess, what we still call “modes,” although I don’t know if the idea of multimodal is the same as it was two years ago. But, you know, what do you make of all of the hubbub around—in fact, within Microsoft Research, this is a big deal, but I think we’re far from alone—you know, medical images and vision, video, proteins and molecules, cell, you know, cellular data and so on.  BUBECK: Yeah. OK. So there is a lot to say to everything … to the last, you know, couple of minutes. Maybe on the specialization aspect, you know, I think there is, hiding behind this, a really fundamental scientific question of whether eventually we have a singular AGIthat kind of knows everything and you can just put, you know, explain your own context and it will just get it and understand everything.  That’s one vision. I have to say, I don’t particularly believe in this vision. In fact, we humans are not like that at all. I think, hopefully, we are general intelligences, yet we have to specialize a lot. And, you know, I did myself a lot of RL, reinforcement learning, on mathematics. Like, that’s what I did, you know, spent a lot of time doing that. And I didn’t improve on other aspects. You know, in fact, I probably degraded in other aspects.So it’s … I think it’s an important example to have in mind.  LEE: I think I might disagree with you on that, though, because, like, doesn’t a model have to see both good science and bad science in order to be able to gain the ability to discern between the two?  BUBECK: Yeah, no, that absolutely. I think there is value in seeing the generality, in having a very broad base. But then you, kind of, specialize on verticals. And this is where also, you know, open-weights model, which we haven’t talked about yet, are really important because they allow you to provide this broad base to everyone. And then you can specialize on top of it.  LEE: So we have about three hours of stuff to talk about, but our time is actually running low. BUBECK: Yes, yes, yes.   LEE: So I think I want … there’s a more provocative question. It’s almost a silly question, but I need to ask it of the two of you, which is, is there a future, you know, where AI replaces doctors or replaces, you know, medical specialties that we have today? So what does the world look like, say, five years from now?  GATES: Well, it’s important to distinguish healthcare discovery activity from healthcare delivery activity. We focused mostly on delivery. I think it’s very much within the realm of possibility that the AI is not only accelerating healthcare discovery but substituting for a lot of the roles of, you know, I’m an organic chemist, or I run various types of assays. I can see those, which are, you know, testable-output-type jobs but with still very high value, I can see, you know, some replacement in those areas before the doctor.   The doctor, still understanding the human condition and long-term dialogues, you know, they’ve had a lifetime of reinforcement of that, particularly when you get into areas like mental health. So I wouldn’t say in five years, either people will choose to adopt it, but it will be profound that there’ll be this nearly free intelligence that can do follow-up, that can help you, you know, make sure you went through different possibilities.  And so I’d say, yes, we’ll have doctors, but I’d say healthcare will be massively transformed in its quality and in efficiency by AI in that time period.  LEE: Is there a comparison, useful comparison, say, between doctors and, say, programmers, computer programmers, or doctors and, I don’t know, lawyers?  GATES: Programming is another one that has, kind of, a mathematical correctness to it, you know, and so the objective function that you’re trying to reinforce to, as soon as you can understand the state machines, you can have something that’s “checkable”; that’s correct. So I think programming, you know, which is weird to say, that the machine will beat us at most programming tasks before we let it take over roles that have deep empathy, you know, physical presence and social understanding in them.  LEE: Yeah. By the way, you know, I fully expect in five years that AI will produce mathematical proofs that are checkable for validity, easily checkable, because they’ll be written in a proof-checking language like Lean or something but will be so complex that no human mathematician can understand them. I expect that to happen.   I can imagine in some fields, like cellular biology, we could have the same situation in the future because the molecular pathways, the chemistry, biochemistry of human cells or living cells is as complex as any mathematics, and so it seems possible that we may be in a state where in wet lab, we see, Oh yeah, this actually works, but no one can understand why.  BUBECK: Yeah, absolutely. I mean, I think I really agree with Bill’s distinction of the discovery and the delivery, and indeed, the discovery’s when you can check things, and at the end, there is an artifact that you can verify. You know, you can run the protocol in the wet lab and seeproduced what you wanted. So I absolutely agree with that.   And in fact, you know, we don’t have to talk five years from now. I don’t know if you know, but just recently, there was a paper that was published on a scientific discovery using o3- mini. So this is really amazing. And, you know, just very quickly, just so people know, it was about this statistical physics model, the frustrated Potts model, which has to do with coloring, and basically, the case of three colors, like, more than two colors was open for a long time, and o3 was able to reduce the case of three colors to two colors.   LEE: Yeah.  BUBECK: Which is just, like, astounding. And this is not … this is now. This is happening right now. So this is something that I personally didn’t expect it would happen so quickly, and it’s due to those reasoning models.   Now, on the delivery side, I would add something more to it for the reason why doctors and, in fact, lawyers and coders will remain for a long time, and it’s because we still don’t understand how those models generalize. Like, at the end of the day, we are not able to tell you when they are confronted with a really new, novel situation, whether they will work or not.  Nobody is able to give you that guarantee. And I think until we understand this generalization better, we’re not going to be willing to just let the system in the wild without human supervision.  LEE: But don’t human doctors, human specialists … so, for example, a cardiologist sees a patient in a certain way that a nephrologist …  BUBECK: Yeah. LEE: … or an endocrinologist might not. BUBECK: That’s right. But another cardiologist will understand and, kind of, expect a certain level of generalization from their peer. And this, we just don’t have it with AI models. Now, of course, you’re exactly right. That generalization is also hard for humans. Like, if you have a human trained for one task and you put them into another task, then you don’t … you often don’t know. LEE: OK. You know, the podcast is focused on what’s happened over the last two years. But now, I’d like one provocative prediction about what you think the world of AI and medicine is going to be at some point in the future. You pick your timeframe. I don’t care if it’s two years or 20 years from now, but, you know, what do you think will be different about AI in medicine in that future than today?  BUBECK: Yeah, I think the deployment is going to accelerate soon. Like, we’re really not missing very much. There is this enormous capability overhang. Like, even if progress completely stopped, with current systems, we can do a lot more than what we’re doing right now. So I think this will … this has to be realized, you know, sooner rather than later.  And I think it’s probably dependent on these benchmarks and proper evaluation and tying this with regulation. So these are things that take time in human society and for good reason. But now we already are at two years; you know, give it another two years and it should be really …   LEE: Will AI prescribe your medicines? Write your prescriptions?  BUBECK: I think yes. I think yes.  LEE: OK. Bill?  GATES: Well, I think the next two years, we’ll have massive pilots, and so the amount of use of the AI, still in a copilot-type mode, you know, we should get millions of patient visits, you know, both in general medicine and in the mental health side, as well. And I think that’s going to build up both the data and the confidence to give the AI some additional autonomy. You know, are you going to let it talk to you at night when you’re panicked about your mental health with some ability to escalate? And, you know, I’ve gone so far as to tell politicians with national health systems that if they deploy AI appropriately, that the quality of care, the overload of the doctors, the improvement in the economics will be enough that their voters will be stunned because they just don’t expect this, and, you know, they could be reelectedjust on this one thing of fixing what is a very overloaded and economically challenged health system in these rich countries.  You know, my personal role is going to be to make sure that in the poorer countries, there isn’t some lag; in fact, in many cases, that we’ll be more aggressive because, you know, we’re comparing to having no access to doctors at all. And, you know, so I think whether it’s India or Africa, there’ll be lessons that are globally valuable because we need medical intelligence. And, you know, thank god AI is going to provide a lot of that.  LEE: Well, on that optimistic note, I think that’s a good way to end. Bill, Seb, really appreciate all of this.   I think the most fundamental prediction we made in the book is that AI would actually find its way into the practice of medicine, and I think that that at least has come true, maybe in different ways than we expected, but it’s come true, and I think it’ll only accelerate from here. So thanks again, both of you.   GATES: Yeah. Thanks, you guys.  BUBECK: Thank you, Peter. Thanks, Bill.  LEE: I just always feel such a sense of privilege to have a chance to interact and actually work with people like Bill and Sébastien.    With Bill, I’m always amazed at how practically minded he is. He’s really thinking about the nuts and bolts of what AI might be able to do for people, and his thoughts about underserved parts of the world, the idea that we might actually be able to empower people with access to expert medical knowledge, I think is both inspiring and amazing.   And then, Seb, Sébastien Bubeck, he’s just absolutely a brilliant mind. He has a really firm grip on the deep mathematics of artificial intelligence and brings that to bear in his research and development work. And where that mathematics takes him isn’t just into the nuts and bolts of algorithms but into philosophical questions about the nature of intelligence.   One of the things that Sébastien brought up was the state of evaluation of AI systems. And indeed, he was fairly critical in our conversation. But of course, the world of AI research and development is just moving so fast, and indeed, since we recorded our conversation, OpenAI, in fact, released a new evaluation metric that is directly relevant to medical applications, and that is something called HealthBench. And Microsoft Research also released a new evaluation approach or process called ADeLe.   HealthBench and ADeLe are examples of new approaches to evaluating AI models that are less about testing their knowledge and ability to pass multiple-choice exams and instead are evaluation approaches designed to assess how well AI models are able to complete tasks that actually arise every day in typical healthcare or biomedical research settings. These are examples of really important good work that speak to how well AI models work in the real world of healthcare and biomedical research and how well they can collaborate with human beings in those settings.  You know, I asked Bill and Seb to make some predictions about the future. You know, my own answer, I expect that we’re going to be able to use AI to change how we diagnose patients, change how we decide treatment options.   If you’re a doctor or a nurse and you encounter a patient, you’ll ask questions, do a physical exam, you know, call out for labs just like you do today, but then you’ll be able to engage with AI based on all of that data and just ask, you know, based on all the other people who have gone through the same experience, who have similar data, how were they diagnosed? How were they treated? What were their outcomes? And what does that mean for the patient I have right now? Some people call it the “patients like me” paradigm. And I think that’s going to become real because of AI within our lifetimes. That idea of really grounding the delivery in healthcare and medical practice through data and intelligence, I actually now don’t see any barriers to that future becoming real.   I’d like to extend another big thank you to Bill and Sébastien for their time. And to our listeners, as always, it’s a pleasure to have you along for the ride. I hope you’ll join us for our remaining conversations, as well as a second coauthor roundtable with Carey and Zak.   Until next time.   #how #reshaping #future #healthcare #medical
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    How AI is reshaping the future of healthcare and medical research
    Transcript [MUSIC]      [BOOK PASSAGE]   PETER LEE: “In ‘The Little Black Bag,’ a classic science fiction story, a high-tech doctor’s kit of the future is accidentally transported back to the 1950s, into the shaky hands of a washed-up, alcoholic doctor. The ultimate medical tool, it redeems the doctor wielding it, allowing him to practice gratifyingly heroic medicine. … The tale ends badly for the doctor and his treacherous assistant, but it offered a picture of how advanced technology could transform medicine—powerful when it was written nearly 75 years ago and still so today. What would be the Al equivalent of that little black bag? At this moment when new capabilities are emerging, how do we imagine them into medicine?”   [END OF BOOK PASSAGE]     [THEME MUSIC]     This is The AI Revolution in Medicine, Revisited. I’m your host, Peter Lee.    Shortly after OpenAI’s GPT-4 was publicly released, Carey Goldberg, Dr. Zak Kohane, and I published The AI Revolution in Medicine to help educate the world of healthcare and medical research about the transformative impact this new generative AI technology could have. But because we wrote the book when GPT-4 was still a secret, we had to speculate. Now, two years later, what did we get right, and what did we get wrong?     In this series, we’ll talk to clinicians, patients, hospital administrators, and others to understand the reality of AI in the field and where we go from here.   [THEME MUSIC FADES] The book passage I read at the top is from “Chapter 10: The Big Black Bag.”  In imagining AI in medicine, Carey, Zak, and I included in our book two fictional accounts. In the first, a medical resident consults GPT-4 on her personal phone as the patient in front of her crashes. Within seconds, it offers an alternate response based on recent literature. In the second account, a 90-year-old woman with several chronic conditions is living independently and receiving near-constant medical support from an AI aide.    In our conversations with the guests we’ve spoken to so far, we’ve caught a glimpse of these predicted futures, seeing how clinicians and patients are actually using AI today and how developers are leveraging the technology in the healthcare products and services they’re creating. In fact, that first fictional account isn’t so fictional after all, as most of the doctors in the real world actually appear to be using AI at least occasionally—and sometimes much more than occasionally—to help in their daily clinical work. And as for the second fictional account, which is more of a science fiction account, it seems we are indeed on the verge of a new way of delivering and receiving healthcare, though the future is still very much open.  As we continue to examine the current state of AI in healthcare and its potential to transform the field, I’m pleased to welcome Bill Gates and Sébastien Bubeck.   Bill may be best known as the co-founder of Microsoft, having created the company with his childhood friend Paul Allen in 1975. He’s now the founder of Breakthrough Energy, which aims to advance clean energy innovation, and TerraPower, a company developing groundbreaking nuclear energy and science technologies. He also chairs the world’s largest philanthropic organization, the Gates Foundation, and focuses on solving a variety of health challenges around the globe and here at home.  Sébastien is a research lead at OpenAI. He was previously a distinguished scientist, vice president of AI, and a colleague of mine here at Microsoft, where his work included spearheading the development of the family of small language models known as Phi. While at Microsoft, he also coauthored the discussion-provoking 2023 paper “Sparks of Artificial General Intelligence,” which presented the results of early experiments with GPT-4 conducted by a small team from Microsoft Research.    [TRANSITION MUSIC]   Here’s my conversation with Bill Gates and Sébastien Bubeck.  LEE: Bill, welcome.  BILL GATES: Thank you.  LEE: Seb …  SÉBASTIEN BUBECK: Yeah. Hi, hi, Peter. Nice to be here.  LEE: You know, one of the things that I’ve been doing just to get the conversation warmed up is to talk about origin stories, and what I mean about origin stories is, you know, what was the first contact that you had with large language models or the concept of generative AI that convinced you or made you think that something really important was happening?  And so, Bill, I think I’ve heard the story about, you know, the time when the OpenAI folks—Sam Altman, Greg Brockman, and others—showed you something, but could we hear from you what those early encounters were like and what was going through your mind?   GATES: Well, I’d been visiting OpenAI soon after it was created to see things like GPT-2 and to see the little arm they had that was trying to match human manipulation and, you know, looking at their games like Dota that they were trying to get as good as human play. And honestly, I didn’t think the language model stuff they were doing, even when they got to GPT-3, would show the ability to learn, you know, in the same sense that a human reads a biology book and is able to take that knowledge and access it not only to pass a test but also to create new medicines.  And so my challenge to them was that if their LLM could get a five on the advanced placement biology test, then I would say, OK, it took biologic knowledge and encoded it in an accessible way and that I didn’t expect them to do that very quickly but it would be profound.   And it was only about six months after I challenged them to do that, that an early version of GPT-4 they brought up to a dinner at my house, and in fact, it answered most of the questions that night very well. The one it got totally wrong, we were … because it was so good, we kept thinking, Oh, we must be wrong. It turned out it was a math weakness [LAUGHTER] that, you know, we later understood that that was an area of, weirdly, of incredible weakness of those early models. But, you know, that was when I realized, OK, the age of cheap intelligence was at its beginning.  LEE: Yeah. So I guess it seems like you had something similar to me in that my first encounters, I actually harbored some skepticism. Is it fair to say you were skeptical before that?  GATES: Well, the idea that we’ve figured out how to encode and access knowledge in this very deep sense without even understanding the nature of the encoding, …  LEE: Right.   GATES: … that is a bit weird.   LEE: Yeah.  GATES: We have an algorithm that creates the computation, but even say, OK, where is the president’s birthday stored in there? Where is this fact stored in there? The fact that even now when we’re playing around, getting a little bit more sense of it, it’s opaque to us what the semantic encoding is, it’s, kind of, amazing to me. I thought the invention of knowledge storage would be an explicit way of encoding knowledge, not an implicit statistical training.  LEE: Yeah, yeah. All right. So, Seb, you know, on this same topic, you know, I got—as we say at Microsoft—I got pulled into the tent. [LAUGHS]  BUBECK: Yes.   LEE: Because this was a very secret project. And then, um, I had the opportunity to select a small number of researchers in MSR [Microsoft Research] to join and start investigating this thing seriously. And the first person I pulled in was you.  BUBECK: Yeah.  LEE: And so what were your first encounters? Because I actually don’t remember what happened then.  BUBECK: Oh, I remember it very well. [LAUGHS] My first encounter with GPT-4 was in a meeting with the two of you, actually. But my kind of first contact, the first moment where I realized that something was happening with generative AI, was before that. And I agree with Bill that I also wasn’t too impressed by GPT-3.  I though that it was kind of, you know, very naturally mimicking the web, sort of parroting what was written there in a nice way. Still in a way which seemed very impressive. But it wasn’t really intelligent in any way. But shortly after GPT-3, there was a model before GPT-4 that really shocked me, and this was the first image generation model, DALL-E 1.  So that was in 2021. And I will forever remember the press release of OpenAI where they had this prompt of an avocado chair and then you had this image of the avocado chair. [LAUGHTER] And what really shocked me is that clearly the model kind of “understood” what is a chair, what is an avocado, and was able to merge those concepts.  So this was really, to me, the first moment where I saw some understanding in those models.   LEE: So this was, just to get the timing right, that was before I pulled you into the tent.  BUBECK: That was before. That was like a year before.  LEE: Right.   BUBECK: And now I will tell you how, you know, we went from that moment to the meeting with the two of you and GPT-4.  So once I saw this kind of understanding, I thought, OK, fine. It understands concept, but it’s still not able to reason. It cannot—as, you know, Bill was saying—it cannot learn from your document. It cannot reason.   So I set out to try to prove that. You know, this is what I was in the business of at the time, trying to prove things in mathematics. So I was trying to prove that basically autoregressive transformers could never reason. So I was trying to prove this. And after a year of work, I had something reasonable to show. And so I had the meeting with the two of you, and I had this example where I wanted to say, there is no way that an LLM is going to be able to do x.  And then as soon as I … I don’t know if you remember, Bill. But as soon as I said that, you said, oh, but wait a second. I had, you know, the OpenAI crew at my house recently, and they showed me a new model. Why don’t we ask this new model this question?   LEE: Yeah. BUBECK: And we did, and it solved it on the spot. And that really, honestly, just changed my life. Like, you know, I had been working for a year trying to say that this was impossible. And just right there, it was shown to be possible.   LEE: [LAUGHS] One of the very first things I got interested in—because I was really thinking a lot about healthcare—was healthcare and medicine.  And I don’t know if the two of you remember, but I ended up doing a lot of tests. I ran through, you know, step one and step two of the US Medical Licensing Exam. Did a whole bunch of other things. I wrote this big report. It was, you know, I can’t remember … a couple hundred pages.   And I needed to share this with someone. I didn’t … there weren’t too many people I could share it with. So I sent, I think, a copy to you, Bill. Sent a copy to you, Seb.   I hardly slept for about a week putting that report together. And, yeah, and I kept working on it. But I was far from alone. I think everyone who was in the tent, so to speak, in those early days was going through something pretty similar. All right. So I think … of course, a lot of what I put in the report also ended up being examples that made it into the book.  But the main purpose of this conversation isn’t to reminisce about [LAUGHS] or indulge in those reminiscences but to talk about what’s happening in healthcare and medicine. And, you know, as I said, we wrote this book. We did it very, very quickly. Seb, you helped. Bill, you know, you provided a review and some endorsements.  But, you know, honestly, we didn’t know what we were talking about because no one had access to this thing. And so we just made a bunch of guesses. So really, the whole thing I wanted to probe with the two of you is, now with two years of experience out in the world, what, you know, what do we think is happening today?  You know, is AI actually having an impact, positive or negative, on healthcare and medicine? And what do we now think is going to happen in the next two years, five years, or 10 years? And so I realize it’s a little bit too abstract to just ask it that way. So let me just try to narrow the discussion and guide us a little bit.   Um, the kind of administrative and clerical work, paperwork, around healthcare—and we made a lot of guesses about that—that appears to be going well, but, you know, Bill, I know we’ve discussed that sometimes that you think there ought to be a lot more going on. Do you have a viewpoint on how AI is actually finding its way into reducing paperwork?  GATES: Well, I’m stunned … I don’t think there should be a patient-doctor meeting where the AI is not sitting in and both transcribing, offering to help with the paperwork, and even making suggestions, although the doctor will be the one, you know, who makes the final decision about the diagnosis and whatever prescription gets done.   It’s so helpful. You know, when that patient goes home and their, you know, son who wants to understand what happened has some questions, that AI should be available to continue that conversation. And the way you can improve that experience and streamline things and, you know, involve the people who advise you. I don’t understand why that’s not more adopted, because there you still have the human in the loop making that final decision.  But even for, like, follow-up calls to make sure the patient did things, to understand if they have concerns and knowing when to escalate back to the doctor, the benefit is incredible. And, you know, that thing is ready for prime time. That paradigm is ready for prime time, in my view.  LEE: Yeah, there are some good products, but it seems like the number one use right now—and we kind of got this from some of the previous guests in previous episodes—is the use of AI just to respond to emails from patients. [LAUGHTER] Does that make sense to you?  BUBECK: Yeah. So maybe I want to second what Bill was saying but maybe take a step back first. You know, two years ago, like, the concept of clinical scribes, which is one of the things that we’re talking about right now, it would have sounded, in fact, it sounded two years ago, borderline dangerous. Because everybody was worried about hallucinations. What happened if you have this AI listening in and then it transcribes, you know, something wrong?  Now, two years later, I think it’s mostly working. And in fact, it is not yet, you know, fully adopted. You’re right. But it is in production. It is used, you know, in many, many places. So this rate of progress is astounding because it wasn’t obvious that we would be able to overcome those obstacles of hallucination. It’s not to say that hallucinations are fully solved. In the case of the closed system, they are.   Now, I think more generally what’s going on in the background is that there is something that we, that certainly I, underestimated, which is this management overhead. So I think the reason why this is not adopted everywhere is really a training and teaching aspect. People need to be taught, like, those systems, how to interact with them.  And one example that I really like, a study that recently appeared where they tried to use ChatGPT for diagnosis and they were comparing doctors without and with ChatGPT (opens in new tab). And the amazing thing … so this was a set of cases where the accuracy of the doctors alone was around 75%. ChatGPT alone was 90%. So that’s already kind of mind blowing. But then the kicker is that doctors with ChatGPT was 80%.   Intelligence alone is not enough. It’s also how it’s presented, how you interact with it. And ChatGPT, it’s an amazing tool. Obviously, I absolutely love it. But it’s not … you don’t want a doctor to have to type in, you know, prompts and use it that way.  It should be, as Bill was saying, kind of running continuously in the background, sending you notifications. And you have to be really careful of the rate at which those notifications are being sent. Because if they are too frequent, then the doctor will learn to ignore them. So you have to … all of those things matter, in fact, at least as much as the level of intelligence of the machine.  LEE: One of the things I think about, Bill, in that scenario that you described, doctors do some thinking about the patient when they write the note. So, you know, I’m always a little uncertain whether it’s actually … you know, you wouldn’t necessarily want to fully automate this, I don’t think. Or at least there needs to be some prompt to the doctor to make sure that the doctor puts some thought into what happened in the encounter with the patient. Does that make sense to you at all?  GATES: At this stage, you know, I’d still put the onus on the doctor to write the conclusions and the summary and not delegate that.  The tradeoffs you make a little bit are somewhat dependent on the situation you’re in. If you’re in Africa, So, yes, the doctor’s still going to have to do a lot of work, but just the quality of letting the patient and the people around them interact and ask questions and have things explained, that alone is such a quality improvement. It’s mind blowing.   LEE: So since you mentioned, you know, Africa—and, of course, this touches on the mission and some of the priorities of the Gates Foundation and this idea of democratization of access to expert medical care—what’s the most interesting stuff going on right now? Are there people and organizations or technologies that are impressing you or that you’re tracking?  GATES: Yeah. So the Gates Foundation has given out a lot of grants to people in Africa doing education, agriculture but more healthcare examples than anything. And the way these things start off, they often start out either being patient-centric in a narrow situation, like, OK, I’m a pregnant woman; talk to me. Or, I have infectious disease symptoms; talk to me. Or they’re connected to a health worker where they’re helping that worker get their job done. And we have lots of pilots out, you know, in both of those cases.   The dream would be eventually to have the thing the patient consults be so broad that it’s like having a doctor available who understands the local things.   LEE: Right.   GATES: We’re not there yet. But over the next two or three years, you know, particularly given the worsening financial constraints against African health systems, where the withdrawal of money has been dramatic, you know, figuring out how to take this—what I sometimes call “free intelligence”—and build a quality health system around that, we will have to be more radical in low-income countries than any rich country is ever going to be.   LEE: Also, there’s maybe a different regulatory environment, so some of those things maybe are easier? Because right now, I think the world hasn’t figured out how to and whether to regulate, let’s say, an AI that might give a medical diagnosis or write a prescription for a medication.  BUBECK: Yeah. I think one issue with this, and it’s also slowing down the deployment of AI in healthcare more generally, is a lack of proper benchmark. Because, you know, you were mentioning the USMLE [United States Medical Licensing Examination], for example. That’s a great test to test human beings and their knowledge of healthcare and medicine. But it’s not a great test to give to an AI.  It’s not asking the right questions. So finding what are the right questions to test whether an AI system is ready to give diagnosis in a constrained setting, that’s a very, very important direction, which to my surprise, is not yet accelerating at the rate that I was hoping for.  LEE: OK, so that gives me an excuse to get more now into the core AI tech because something I’ve discussed with both of you is this issue of what are the right tests. And you both know the very first test I give to any new spin of an LLM is I present a patient, the results—a mythical patient—the results of my physical exam, my mythical physical exam. Maybe some results of some initial labs. And then I present or propose a differential diagnosis. And if you’re not in medicine, a differential diagnosis you can just think of as a prioritized list of the possible diagnoses that fit with all that data. And in that proposed differential, I always intentionally make two mistakes.  I make a textbook technical error in one of the possible elements of the differential diagnosis, and I have an error of omission. And, you know, I just want to know, does the LLM understand what I’m talking about? And all the good ones out there do now. But then I want to know, can it spot the errors? And then most importantly, is it willing to tell me I’m wrong, that I’ve made a mistake?   That last piece seems really hard for AI today. And so let me ask you first, Seb, because at the time of this taping, of course, there was a new spin of GPT-4o last week that became overly sycophantic. In other words, it was actually prone in that test of mine not only to not tell me I’m wrong, but it actually praised me for the creativity of my differential. [LAUGHTER] What’s up with that?  BUBECK: Yeah, I guess it’s a testament to the fact that training those models is still more of an art than a science. So it’s a difficult job. Just to be clear with the audience, we have rolled back that [LAUGHS] version of GPT-4o, so now we don’t have the sycophant version out there.  Yeah, no, it’s a really difficult question. It has to do … as you said, it’s very technical. It has to do with the post-training and how, like, where do you nudge the model? So, you know, there is this very classical by now technique called RLHF [reinforcement learning from human feedback], where you push the model in the direction of a certain reward model. So the reward model is just telling the model, you know, what behavior is good, what behavior is bad.  But this reward model is itself an LLM, and, you know, Bill was saying at the very beginning of the conversation that we don’t really understand how those LLMs deal with concepts like, you know, where is the capital of France located? Things like that. It is the same thing for this reward model. We don’t know why it says that it prefers one output to another, and whether this is correlated with some sycophancy is, you know, something that we discovered basically just now. That if you push too hard in optimization on this reward model, you will get a sycophant model.  So it’s kind of … what I’m trying to say is we became too good at what we were doing, and we ended up, in fact, in a trap of the reward model.  LEE: I mean, you do want … it’s a difficult balance because you do want models to follow your desires and …  BUBECK: It’s a very difficult, very difficult balance.  LEE: So this brings up then the following question for me, which is the extent to which we think we’ll need to have specially trained models for things. So let me start with you, Bill. Do you have a point of view on whether we will need to, you know, quote-unquote take AI models to med school? Have them specially trained? Like, if you were going to deploy something to give medical care in underserved parts of the world, do we need to do something special to create those models?  GATES: We certainly need to teach them the African languages and the unique dialects so that the multimedia interactions are very high quality. We certainly need to teach them the disease prevalence and unique disease patterns like, you know, neglected tropical diseases and malaria. So we need to gather a set of facts that somebody trying to go for a US customer base, you know, wouldn’t necessarily have that in there.  Those two things are actually very straightforward because the additional training time is small. I’d say for the next few years, we’ll also need to do reinforcement learning about the context of being a doctor and how important certain behaviors are. Humans learn over the course of their life to some degree that, I’m in a different context and the way I behave in terms of being willing to criticize or be nice, you know, how important is it? Who’s here? What’s my relationship to them?   Right now, these machines don’t have that broad social experience. And so if you know it’s going to be used for health things, a lot of reinforcement learning of the very best humans in that context would still be valuable. Eventually, the models will, having read all the literature of the world about good doctors, bad doctors, it’ll understand as soon as you say, “I want you to be a doctor diagnosing somebody.” All of the implicit reinforcement that fits that situation, you know, will be there. LEE: Yeah. GATES: And so I hope three years from now, we don’t have to do that reinforcement learning. But today, for any medical context, you would want a lot of data to reinforce tone, willingness to say things when, you know, there might be something significant at stake.  LEE: Yeah. So, you know, something Bill said, kind of, reminds me of another thing that I think we missed, which is, the context also … and the specialization also pertains to different, I guess, what we still call “modes,” although I don’t know if the idea of multimodal is the same as it was two years ago. But, you know, what do you make of all of the hubbub around—in fact, within Microsoft Research, this is a big deal, but I think we’re far from alone—you know, medical images and vision, video, proteins and molecules, cell, you know, cellular data and so on.  BUBECK: Yeah. OK. So there is a lot to say to everything … to the last, you know, couple of minutes. Maybe on the specialization aspect, you know, I think there is, hiding behind this, a really fundamental scientific question of whether eventually we have a singular AGI [artificial general intelligence] that kind of knows everything and you can just put, you know, explain your own context and it will just get it and understand everything.  That’s one vision. I have to say, I don’t particularly believe in this vision. In fact, we humans are not like that at all. I think, hopefully, we are general intelligences, yet we have to specialize a lot. And, you know, I did myself a lot of RL, reinforcement learning, on mathematics. Like, that’s what I did, you know, spent a lot of time doing that. And I didn’t improve on other aspects. You know, in fact, I probably degraded in other aspects. [LAUGHTER] So it’s … I think it’s an important example to have in mind.  LEE: I think I might disagree with you on that, though, because, like, doesn’t a model have to see both good science and bad science in order to be able to gain the ability to discern between the two?  BUBECK: Yeah, no, that absolutely. I think there is value in seeing the generality, in having a very broad base. But then you, kind of, specialize on verticals. And this is where also, you know, open-weights model, which we haven’t talked about yet, are really important because they allow you to provide this broad base to everyone. And then you can specialize on top of it.  LEE: So we have about three hours of stuff to talk about, but our time is actually running low. BUBECK: Yes, yes, yes.   LEE: So I think I want … there’s a more provocative question. It’s almost a silly question, but I need to ask it of the two of you, which is, is there a future, you know, where AI replaces doctors or replaces, you know, medical specialties that we have today? So what does the world look like, say, five years from now?  GATES: Well, it’s important to distinguish healthcare discovery activity from healthcare delivery activity. We focused mostly on delivery. I think it’s very much within the realm of possibility that the AI is not only accelerating healthcare discovery but substituting for a lot of the roles of, you know, I’m an organic chemist, or I run various types of assays. I can see those, which are, you know, testable-output-type jobs but with still very high value, I can see, you know, some replacement in those areas before the doctor.   The doctor, still understanding the human condition and long-term dialogues, you know, they’ve had a lifetime of reinforcement of that, particularly when you get into areas like mental health. So I wouldn’t say in five years, either people will choose to adopt it, but it will be profound that there’ll be this nearly free intelligence that can do follow-up, that can help you, you know, make sure you went through different possibilities.  And so I’d say, yes, we’ll have doctors, but I’d say healthcare will be massively transformed in its quality and in efficiency by AI in that time period.  LEE: Is there a comparison, useful comparison, say, between doctors and, say, programmers, computer programmers, or doctors and, I don’t know, lawyers?  GATES: Programming is another one that has, kind of, a mathematical correctness to it, you know, and so the objective function that you’re trying to reinforce to, as soon as you can understand the state machines, you can have something that’s “checkable”; that’s correct. So I think programming, you know, which is weird to say, that the machine will beat us at most programming tasks before we let it take over roles that have deep empathy, you know, physical presence and social understanding in them.  LEE: Yeah. By the way, you know, I fully expect in five years that AI will produce mathematical proofs that are checkable for validity, easily checkable, because they’ll be written in a proof-checking language like Lean or something but will be so complex that no human mathematician can understand them. I expect that to happen.   I can imagine in some fields, like cellular biology, we could have the same situation in the future because the molecular pathways, the chemistry, biochemistry of human cells or living cells is as complex as any mathematics, and so it seems possible that we may be in a state where in wet lab, we see, Oh yeah, this actually works, but no one can understand why.  BUBECK: Yeah, absolutely. I mean, I think I really agree with Bill’s distinction of the discovery and the delivery, and indeed, the discovery’s when you can check things, and at the end, there is an artifact that you can verify. You know, you can run the protocol in the wet lab and see [if you have] produced what you wanted. So I absolutely agree with that.   And in fact, you know, we don’t have to talk five years from now. I don’t know if you know, but just recently, there was a paper that was published on a scientific discovery using o3- mini (opens in new tab). So this is really amazing. And, you know, just very quickly, just so people know, it was about this statistical physics model, the frustrated Potts model, which has to do with coloring, and basically, the case of three colors, like, more than two colors was open for a long time, and o3 was able to reduce the case of three colors to two colors.   LEE: Yeah.  BUBECK: Which is just, like, astounding. And this is not … this is now. This is happening right now. So this is something that I personally didn’t expect it would happen so quickly, and it’s due to those reasoning models.   Now, on the delivery side, I would add something more to it for the reason why doctors and, in fact, lawyers and coders will remain for a long time, and it’s because we still don’t understand how those models generalize. Like, at the end of the day, we are not able to tell you when they are confronted with a really new, novel situation, whether they will work or not.  Nobody is able to give you that guarantee. And I think until we understand this generalization better, we’re not going to be willing to just let the system in the wild without human supervision.  LEE: But don’t human doctors, human specialists … so, for example, a cardiologist sees a patient in a certain way that a nephrologist …  BUBECK: Yeah. LEE: … or an endocrinologist might not. BUBECK: That’s right. But another cardiologist will understand and, kind of, expect a certain level of generalization from their peer. And this, we just don’t have it with AI models. Now, of course, you’re exactly right. That generalization is also hard for humans. Like, if you have a human trained for one task and you put them into another task, then you don’t … you often don’t know. LEE: OK. You know, the podcast is focused on what’s happened over the last two years. But now, I’d like one provocative prediction about what you think the world of AI and medicine is going to be at some point in the future. You pick your timeframe. I don’t care if it’s two years or 20 years from now, but, you know, what do you think will be different about AI in medicine in that future than today?  BUBECK: Yeah, I think the deployment is going to accelerate soon. Like, we’re really not missing very much. There is this enormous capability overhang. Like, even if progress completely stopped, with current systems, we can do a lot more than what we’re doing right now. So I think this will … this has to be realized, you know, sooner rather than later.  And I think it’s probably dependent on these benchmarks and proper evaluation and tying this with regulation. So these are things that take time in human society and for good reason. But now we already are at two years; you know, give it another two years and it should be really …   LEE: Will AI prescribe your medicines? Write your prescriptions?  BUBECK: I think yes. I think yes.  LEE: OK. Bill?  GATES: Well, I think the next two years, we’ll have massive pilots, and so the amount of use of the AI, still in a copilot-type mode, you know, we should get millions of patient visits, you know, both in general medicine and in the mental health side, as well. And I think that’s going to build up both the data and the confidence to give the AI some additional autonomy. You know, are you going to let it talk to you at night when you’re panicked about your mental health with some ability to escalate? And, you know, I’ve gone so far as to tell politicians with national health systems that if they deploy AI appropriately, that the quality of care, the overload of the doctors, the improvement in the economics will be enough that their voters will be stunned because they just don’t expect this, and, you know, they could be reelected [LAUGHTER] just on this one thing of fixing what is a very overloaded and economically challenged health system in these rich countries.  You know, my personal role is going to be to make sure that in the poorer countries, there isn’t some lag; in fact, in many cases, that we’ll be more aggressive because, you know, we’re comparing to having no access to doctors at all. And, you know, so I think whether it’s India or Africa, there’ll be lessons that are globally valuable because we need medical intelligence. And, you know, thank god AI is going to provide a lot of that.  LEE: Well, on that optimistic note, I think that’s a good way to end. Bill, Seb, really appreciate all of this.   I think the most fundamental prediction we made in the book is that AI would actually find its way into the practice of medicine, and I think that that at least has come true, maybe in different ways than we expected, but it’s come true, and I think it’ll only accelerate from here. So thanks again, both of you.  [TRANSITION MUSIC]  GATES: Yeah. Thanks, you guys.  BUBECK: Thank you, Peter. Thanks, Bill.  LEE: I just always feel such a sense of privilege to have a chance to interact and actually work with people like Bill and Sébastien.    With Bill, I’m always amazed at how practically minded he is. He’s really thinking about the nuts and bolts of what AI might be able to do for people, and his thoughts about underserved parts of the world, the idea that we might actually be able to empower people with access to expert medical knowledge, I think is both inspiring and amazing.   And then, Seb, Sébastien Bubeck, he’s just absolutely a brilliant mind. He has a really firm grip on the deep mathematics of artificial intelligence and brings that to bear in his research and development work. And where that mathematics takes him isn’t just into the nuts and bolts of algorithms but into philosophical questions about the nature of intelligence.   One of the things that Sébastien brought up was the state of evaluation of AI systems. And indeed, he was fairly critical in our conversation. But of course, the world of AI research and development is just moving so fast, and indeed, since we recorded our conversation, OpenAI, in fact, released a new evaluation metric that is directly relevant to medical applications, and that is something called HealthBench. And Microsoft Research also released a new evaluation approach or process called ADeLe.   HealthBench and ADeLe are examples of new approaches to evaluating AI models that are less about testing their knowledge and ability to pass multiple-choice exams and instead are evaluation approaches designed to assess how well AI models are able to complete tasks that actually arise every day in typical healthcare or biomedical research settings. These are examples of really important good work that speak to how well AI models work in the real world of healthcare and biomedical research and how well they can collaborate with human beings in those settings.  You know, I asked Bill and Seb to make some predictions about the future. You know, my own answer, I expect that we’re going to be able to use AI to change how we diagnose patients, change how we decide treatment options.   If you’re a doctor or a nurse and you encounter a patient, you’ll ask questions, do a physical exam, you know, call out for labs just like you do today, but then you’ll be able to engage with AI based on all of that data and just ask, you know, based on all the other people who have gone through the same experience, who have similar data, how were they diagnosed? How were they treated? What were their outcomes? And what does that mean for the patient I have right now? Some people call it the “patients like me” paradigm. And I think that’s going to become real because of AI within our lifetimes. That idea of really grounding the delivery in healthcare and medical practice through data and intelligence, I actually now don’t see any barriers to that future becoming real.  [THEME MUSIC]  I’d like to extend another big thank you to Bill and Sébastien for their time. And to our listeners, as always, it’s a pleasure to have you along for the ride. I hope you’ll join us for our remaining conversations, as well as a second coauthor roundtable with Carey and Zak.   Until next time.   [MUSIC FADES]
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  • Why Half Backsplashes Are Taking Over Kitchen Design, According to Experts

    Pictured Above: Designer Amber Lewis balances New England charm with old-world sophistication with a half Calacatta Vagli marble backsplash in the kitchen of this Martha's Vineyard home. To backsplash or not to backsplash? That is the question. Or is it? Because if anyone’s ever told you “you shouldn’t do anything halfway,” they clearly haven’t heard of the half backsplash. This twist on a design mainstay makes a compelling case for stopping short. So maybe the real question is: to backsplash or to half backsplash?Lately, we’ve seen more and more designers going for the latter. “A trend these days is to use 1/2 or 2/3 stone backsplashes with a six- to nine-inch ledge,” says designer Jennifer Gilmer. “This is typically used behind a range and adds interest as well as softening the overall look.” It’s not just aesthetic—it’s strategic functionality. “The ledge is useful for salt and pepper shakers, olive oil, and other items,” she adds. Ahead, we break down everything to know about half backsplashes and why this kitchen trend is gaining traction in the design world.Related StoriesWhat Is a Half Backsplash?Lisa PetroleMagnolia’s director of styling, Ashley Maddox, enlisted the help of designer Hilary Walker to create her midcentury-modern dream home in Waco, Texas. Complete with walnut kitchen cabinetry topped with a Topzstone countertop continued into a partial backsplash.“A half backsplash or 1/3 backsplash is when the material stops at a point on the wall determined by the design,” explains designer Isabella Patrick. This makes it distinct from a “built-out or existing element, such as upper cabinets, a ceiling, soffit, or some other inherent element of the space.” In other words, it’s intentional, not just the result of running out of tile.Courtesy of JN Interior SpacesTaking the ceiling height into consideration, JN Interior Spaces decided a half backsplash would be suitable for this sleek, modern kitchen.While traditional backsplashes typically reach the bottom of upper cabinetry or span the entire wall, partial backsplashes usually stop somewhere around four to 25 inches up, depending on the look you’re going for.And while it may sound like a design compromise, it’s actually quite the opposite.Related StoryWhy Designers Are Loving the Half-Height LookOpting for a half backsplash is a clever way to balance proportion, budget, and visual interest. “If the design does not have upper cabinets, we would opt for a half backsplash to create visual interest,” Patrick says. “A full wall of the same tile or stone could overwhelm the space and seem like an afterthought.”Shannon Dupre/DD RepsIsabella Patrick experimented with this concept in her own kitchen, mixing materials for a more layered half backsplash look.Instead, Patrick often mixes materials—like running Cambria quartzite up from the counter to a ledge, then switching to Fireclay tile above. “This is a great example of how a singular material would have overwhelmed the space but also may have felt like an afterthought,” she explains. “Mixing materials and adding in details and personal touches is what good design is.”Another bonus? It lets the rest of the kitchen sing. “In another design, we eliminated the upper cabinets in favor of a more open and airy look so that the windows were not blocked—and so you were not walking right into a side view of cabinetry,” Patrick says. “No upper cabinets also makes the kitchen feel more of a transitional space and decorative, especially since it opens right into a dining room.”krafty_photos
copyright 2021This kitchen from JN Interior Spaces proves that a partial backsplash can still make a big impact. They chose to use an iridescent, almost-patina tile in this Wyoming kitchen.For Jill Najinigier of JN Interior Spaces, the choice is just as much about form as it is function. “It's all about how the backsplash interacts with the architecture,” she explains. “Wall height, windows, the shape of the hood, upper cabinets, or open shelves—where do they start and terminate?”In one standout project, Najinigier used a luminous tile just tall enough to tuck under a tapered plaster hood, topped with a narrow stone ledge carved from the same slab as the counter. The result? “Clean lines that make a stunning statement.”Mixing materials and adding in details and personal touches is what good design is.It’s Decorative and FunctionalHeather TalbertDesigner Kate Pearce installed a statement-making marble backsplash. Bringing it only halfway up allows its beauty to be appreciated while giving the other aesthetic elements in the space room to breathe.Don’t underestimate what that ledge can do. Designer Kate Pearce swears by hers: “I love my little five-inch-deep marble shelf that allows me to style some vintage kitchenware in the space,” she says. “And I think the shelfis exactly what gives the kitchen an approachable feel—versus having a full backsplash of marble, which would have given the space a more serious vibe.”Stylish ProductionsPrioritizing visually continuity, Italian designer Federica Asack of Masseria Chic used the same leathered sandstone, a natural material that will develop a wonderful patina, for both the counters and the backsplash.Designer Federica Asack of Masseria Chic used a leathered sandstone for both her countertop and half backsplash, adding a ledge that’s just deep enough to style. “It allows for a splash-free decorating opportunity to layer artwork and favorite objects,” she says.Designer Molly Watson agrees: “The simple shelf is just deep enough for some special items to be on display,” she notes of a project where carrying the countertop stone up the wall helped keep things visually calm and scaled to the space. Related StoryThe Verdict on Half BacksplashesErin Kelly"Keeping materials simple in this kitchen was important for scale," says designer Molly Watson. "Carrying the countertop up the wall as a backsplash allowed the space to feel larger."Half backsplashes are having a major design moment, but not just because they’re practical. They’re a blank canvas for creativity. From floating ledges and mixed materials to budget-conscious decisions that don’t skimp on style, they’re a smartway to make your kitchen feel lighter, livelier, and totally considered.So, go ahead—do it halfway.Follow House Beautiful on Instagram and TikTok.
    #why #half #backsplashes #are #taking
    Why Half Backsplashes Are Taking Over Kitchen Design, According to Experts
    Pictured Above: Designer Amber Lewis balances New England charm with old-world sophistication with a half Calacatta Vagli marble backsplash in the kitchen of this Martha's Vineyard home. To backsplash or not to backsplash? That is the question. Or is it? Because if anyone’s ever told you “you shouldn’t do anything halfway,” they clearly haven’t heard of the half backsplash. This twist on a design mainstay makes a compelling case for stopping short. So maybe the real question is: to backsplash or to half backsplash?Lately, we’ve seen more and more designers going for the latter. “A trend these days is to use 1/2 or 2/3 stone backsplashes with a six- to nine-inch ledge,” says designer Jennifer Gilmer. “This is typically used behind a range and adds interest as well as softening the overall look.” It’s not just aesthetic—it’s strategic functionality. “The ledge is useful for salt and pepper shakers, olive oil, and other items,” she adds. Ahead, we break down everything to know about half backsplashes and why this kitchen trend is gaining traction in the design world.Related StoriesWhat Is a Half Backsplash?Lisa PetroleMagnolia’s director of styling, Ashley Maddox, enlisted the help of designer Hilary Walker to create her midcentury-modern dream home in Waco, Texas. Complete with walnut kitchen cabinetry topped with a Topzstone countertop continued into a partial backsplash.“A half backsplash or 1/3 backsplash is when the material stops at a point on the wall determined by the design,” explains designer Isabella Patrick. This makes it distinct from a “built-out or existing element, such as upper cabinets, a ceiling, soffit, or some other inherent element of the space.” In other words, it’s intentional, not just the result of running out of tile.Courtesy of JN Interior SpacesTaking the ceiling height into consideration, JN Interior Spaces decided a half backsplash would be suitable for this sleek, modern kitchen.While traditional backsplashes typically reach the bottom of upper cabinetry or span the entire wall, partial backsplashes usually stop somewhere around four to 25 inches up, depending on the look you’re going for.And while it may sound like a design compromise, it’s actually quite the opposite.Related StoryWhy Designers Are Loving the Half-Height LookOpting for a half backsplash is a clever way to balance proportion, budget, and visual interest. “If the design does not have upper cabinets, we would opt for a half backsplash to create visual interest,” Patrick says. “A full wall of the same tile or stone could overwhelm the space and seem like an afterthought.”Shannon Dupre/DD RepsIsabella Patrick experimented with this concept in her own kitchen, mixing materials for a more layered half backsplash look.Instead, Patrick often mixes materials—like running Cambria quartzite up from the counter to a ledge, then switching to Fireclay tile above. “This is a great example of how a singular material would have overwhelmed the space but also may have felt like an afterthought,” she explains. “Mixing materials and adding in details and personal touches is what good design is.”Another bonus? It lets the rest of the kitchen sing. “In another design, we eliminated the upper cabinets in favor of a more open and airy look so that the windows were not blocked—and so you were not walking right into a side view of cabinetry,” Patrick says. “No upper cabinets also makes the kitchen feel more of a transitional space and decorative, especially since it opens right into a dining room.”krafty_photos
copyright 2021This kitchen from JN Interior Spaces proves that a partial backsplash can still make a big impact. They chose to use an iridescent, almost-patina tile in this Wyoming kitchen.For Jill Najinigier of JN Interior Spaces, the choice is just as much about form as it is function. “It's all about how the backsplash interacts with the architecture,” she explains. “Wall height, windows, the shape of the hood, upper cabinets, or open shelves—where do they start and terminate?”In one standout project, Najinigier used a luminous tile just tall enough to tuck under a tapered plaster hood, topped with a narrow stone ledge carved from the same slab as the counter. The result? “Clean lines that make a stunning statement.”Mixing materials and adding in details and personal touches is what good design is.It’s Decorative and FunctionalHeather TalbertDesigner Kate Pearce installed a statement-making marble backsplash. Bringing it only halfway up allows its beauty to be appreciated while giving the other aesthetic elements in the space room to breathe.Don’t underestimate what that ledge can do. Designer Kate Pearce swears by hers: “I love my little five-inch-deep marble shelf that allows me to style some vintage kitchenware in the space,” she says. “And I think the shelfis exactly what gives the kitchen an approachable feel—versus having a full backsplash of marble, which would have given the space a more serious vibe.”Stylish ProductionsPrioritizing visually continuity, Italian designer Federica Asack of Masseria Chic used the same leathered sandstone, a natural material that will develop a wonderful patina, for both the counters and the backsplash.Designer Federica Asack of Masseria Chic used a leathered sandstone for both her countertop and half backsplash, adding a ledge that’s just deep enough to style. “It allows for a splash-free decorating opportunity to layer artwork and favorite objects,” she says.Designer Molly Watson agrees: “The simple shelf is just deep enough for some special items to be on display,” she notes of a project where carrying the countertop stone up the wall helped keep things visually calm and scaled to the space. Related StoryThe Verdict on Half BacksplashesErin Kelly"Keeping materials simple in this kitchen was important for scale," says designer Molly Watson. "Carrying the countertop up the wall as a backsplash allowed the space to feel larger."Half backsplashes are having a major design moment, but not just because they’re practical. They’re a blank canvas for creativity. From floating ledges and mixed materials to budget-conscious decisions that don’t skimp on style, they’re a smartway to make your kitchen feel lighter, livelier, and totally considered.So, go ahead—do it halfway.Follow House Beautiful on Instagram and TikTok. #why #half #backsplashes #are #taking
    WWW.HOUSEBEAUTIFUL.COM
    Why Half Backsplashes Are Taking Over Kitchen Design, According to Experts
    Pictured Above: Designer Amber Lewis balances New England charm with old-world sophistication with a half Calacatta Vagli marble backsplash in the kitchen of this Martha's Vineyard home. To backsplash or not to backsplash? That is the question. Or is it? Because if anyone’s ever told you “you shouldn’t do anything halfway,” they clearly haven’t heard of the half backsplash. This twist on a design mainstay makes a compelling case for stopping short. So maybe the real question is: to backsplash or to half backsplash?Lately, we’ve seen more and more designers going for the latter. “A trend these days is to use 1/2 or 2/3 stone backsplashes with a six- to nine-inch ledge,” says designer Jennifer Gilmer. “This is typically used behind a range and adds interest as well as softening the overall look.” It’s not just aesthetic—it’s strategic functionality. “The ledge is useful for salt and pepper shakers, olive oil, and other items,” she adds. Ahead, we break down everything to know about half backsplashes and why this kitchen trend is gaining traction in the design world.Related StoriesWhat Is a Half Backsplash?Lisa PetroleMagnolia’s director of styling, Ashley Maddox, enlisted the help of designer Hilary Walker to create her midcentury-modern dream home in Waco, Texas. Complete with walnut kitchen cabinetry topped with a Topzstone countertop continued into a partial backsplash.“A half backsplash or 1/3 backsplash is when the material stops at a point on the wall determined by the design,” explains designer Isabella Patrick. This makes it distinct from a “built-out or existing element, such as upper cabinets, a ceiling, soffit, or some other inherent element of the space.” In other words, it’s intentional, not just the result of running out of tile.Courtesy of JN Interior SpacesTaking the ceiling height into consideration, JN Interior Spaces decided a half backsplash would be suitable for this sleek, modern kitchen.While traditional backsplashes typically reach the bottom of upper cabinetry or span the entire wall, partial backsplashes usually stop somewhere around four to 25 inches up, depending on the look you’re going for.And while it may sound like a design compromise, it’s actually quite the opposite.Related StoryWhy Designers Are Loving the Half-Height LookOpting for a half backsplash is a clever way to balance proportion, budget, and visual interest. “If the design does not have upper cabinets, we would opt for a half backsplash to create visual interest,” Patrick says. “A full wall of the same tile or stone could overwhelm the space and seem like an afterthought.”Shannon Dupre/DD RepsIsabella Patrick experimented with this concept in her own kitchen, mixing materials for a more layered half backsplash look.Instead, Patrick often mixes materials—like running Cambria quartzite up from the counter to a ledge, then switching to Fireclay tile above. “This is a great example of how a singular material would have overwhelmed the space but also may have felt like an afterthought,” she explains. “Mixing materials and adding in details and personal touches is what good design is.”Another bonus? It lets the rest of the kitchen sing. “In another design, we eliminated the upper cabinets in favor of a more open and airy look so that the windows were not blocked—and so you were not walking right into a side view of cabinetry,” Patrick says. “No upper cabinets also makes the kitchen feel more of a transitional space and decorative, especially since it opens right into a dining room.”krafty_photos
copyright 2021This kitchen from JN Interior Spaces proves that a partial backsplash can still make a big impact. They chose to use an iridescent, almost-patina tile in this Wyoming kitchen.For Jill Najinigier of JN Interior Spaces, the choice is just as much about form as it is function. “It's all about how the backsplash interacts with the architecture,” she explains. “Wall height, windows, the shape of the hood, upper cabinets, or open shelves—where do they start and terminate?”In one standout project, Najinigier used a luminous tile just tall enough to tuck under a tapered plaster hood, topped with a narrow stone ledge carved from the same slab as the counter. The result? “Clean lines that make a stunning statement.”Mixing materials and adding in details and personal touches is what good design is.It’s Decorative and FunctionalHeather TalbertDesigner Kate Pearce installed a statement-making marble backsplash. Bringing it only halfway up allows its beauty to be appreciated while giving the other aesthetic elements in the space room to breathe.Don’t underestimate what that ledge can do. Designer Kate Pearce swears by hers: “I love my little five-inch-deep marble shelf that allows me to style some vintage kitchenware in the space,” she says. “And I think the shelf (and the pieces styled on it) is exactly what gives the kitchen an approachable feel—versus having a full backsplash of marble, which would have given the space a more serious vibe.”Stylish ProductionsPrioritizing visually continuity, Italian designer Federica Asack of Masseria Chic used the same leathered sandstone, a natural material that will develop a wonderful patina, for both the counters and the backsplash.Designer Federica Asack of Masseria Chic used a leathered sandstone for both her countertop and half backsplash, adding a ledge that’s just deep enough to style. “It allows for a splash-free decorating opportunity to layer artwork and favorite objects,” she says.Designer Molly Watson agrees: “The simple shelf is just deep enough for some special items to be on display,” she notes of a project where carrying the countertop stone up the wall helped keep things visually calm and scaled to the space. Related StoryThe Verdict on Half BacksplashesErin Kelly"Keeping materials simple in this kitchen was important for scale," says designer Molly Watson. "Carrying the countertop up the wall as a backsplash allowed the space to feel larger."Half backsplashes are having a major design moment, but not just because they’re practical. They’re a blank canvas for creativity. From floating ledges and mixed materials to budget-conscious decisions that don’t skimp on style, they’re a smart (and stylish) way to make your kitchen feel lighter, livelier, and totally considered.So, go ahead—do it halfway.Follow House Beautiful on Instagram and TikTok.
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  • Paper Architecture: From Soviet Subversion to Zaha’s Suprematism

    Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th!
    Behind the term “paper architecture” hides a strange paradox: the radical act of building without, well, building. Paper architecture is usually associated with speculative design projects, presented in the form of drawings, which can also be considered art pieces. However, even though it is often dismissed as a mere utopian or academic exercise, paper architecture has historically served as a powerful form of protest, advocating against political regimes, architectural orthodoxy or cultural stagnation.
    Unbound by real-world limitations such as materials, regulations and budgets, paper architects are free to focus on the messages behind their designs rather than constantly striving for their implementation. In parallel, due to its subtleness, paper architecture has become a platform that enables radical commentary via a rather “safe” medium. Instead of relying on more traditional forms of protestthis powerful visual language, combined with scrupulous aesthetics and imagination can start a more formidable “behind-the-scenes rebellion”.
    Unearthing Nostalgia by Bruno Xavier & Michelle Ashley Ovanessians, A+ Vision Awards, 2023
    Perhaps the most well-known paper architects, Archigram was a radical British collective that was formed in the 1960s in London. Their work Walking City or Plug-In City showcased visions of a playful, technologically driven architecture that deeply contrasted and, by extent, protested against the rigid regime of post-war modernism and its extensive bureaucracy. This pop-art-style architecture served as a powerful critique towards the saturated idea of functional monotony.
    Additionally, the Russian architect, artist, and curator, Yuri Avvakumuv introduced the term “paper architecture” within the restrictive cultural and political climate of late Soviet Russia. Having to deal with heavy censorship, Avvakumuv turned to competitions and speculative drawings in an attempt resist that dominance of totalitarian architecture. Poetic, deeply allegorical and oftentimes ironic architectural renderings, critiqued the bureaucratic sterility of Soviet planning and the state-mandated architectural principles architects had to follow. Consequently, this profound demonstration of un-built architecture within the specific setting, turned into a collective cultural wave that advocated artistic autonomy and expression for the built environment.
    Klothos’ Loom of Memories by Ioana Alexandra Enache, A+ Vision Awards, 2023
    The Amerian architect Lebbeus Woods was also one of the most intellectually intense practitioners of paper architecture, whose work touches upon global issues on war zones and urban trauma. His imaginative, post-apocalyptic cities opened up discussions for rebuilding after destruction. Works such as War and Architecture and Underground Berlin, albeit “dystopic”, acted as moral propositions, exploring potential reconstructions that would “heal” these cities. Through his drawings, he rigorously investigated and examined scenarios of ethical rebuilding, refusing to comply to the principles of popular commerce, and instead creating a new architectural practice of political resistance.
    Finally, operating within a very male-dominated world, Zaha Hadid’s earlier work — particularly on Malevich — served as a protesting tool on multiple levels. Influenced by Suprematist aesthetics, her bold, dynamic compositions stood against the formal conservatism of architectural ideas, where the design must always yield to gravity and function. In parallel, her considerable influence and dominance on the field challenged long-standing norms and served as a powerful counter-narrative against the gender biases that sidelined women in design. Ultimately, her images – part blueprints, part paintings – not only proved that architecture could be unapologetically visionary and abstract but also that materializing it is not as impossible as one would think.My Bedroom by Daniel Wing-Hou Ho, A+ Vision Awards, 2023
    Even though paper architecture began as a medium of rebellion against architectural convention in the mid-20th century, it remains, until today, a vital tool for activism and social justice. Operating in the digital age, social media and digital platforms have amplified its reach, also having given it different visual forms such as digital collages, speculative renders, gifs, reels and interactive visual narratives. What was once a flyer, a journal or a newspaper extract, can now be found in open-source repositories, standing against authoritarianism, climate inaction, political violence and systemic inequality.
    Groups such as Forensic Architecture carry out multidisciplinary research, investigating cases of state violence and violations of human rights through rigorous mapping and speculative visualization. Additionally, competitions such as the eVolo Skyscraper or platforms like ArchOutLoud and Design Earth offer opportunities and space for architects to tackle environmental concerns and dramatize the urgency of inaction. Imaginative floating habitats, food cities, biodegradable megastructures etc. instigate debates and conversations through the form of environmental storytelling.
    The Stamper Battery by By William du Toit, A+ Vision Awards, 2023
    Despite being often condemned as “unbuildable”, “impractical” or even “escapist,” paper architecture acts as a counterweight to the discipline’s increasing instrumentalization as merely a functional or commercial enterprise. In architecture schools it is used as a prompt for “thinking differently” and a tool for “critiquing without compromise”. Above all however, paper architecture matters because it keeps architecture ethically alive. It reminds architects to ask the uncomfortable questions: how should we design for environmental sustainability, migrancy or social equality, instead of focusing on profit, convenience and spectacle? Similar to a moral compass or speculative mirror, unbuilt visions can trigger political, social and environmental turns that reshape not just how we build, but why we build at all.
    Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th!
    Featured Image: Into the Void: Fragmented Time, Space, Memory, and Decay in Hiroshima by Victoria Wong, A+ Vision Awards 2023
    The post Paper Architecture: From Soviet Subversion to Zaha’s Suprematism appeared first on Journal.
    #paper #architecture #soviet #subversion #zahas
    Paper Architecture: From Soviet Subversion to Zaha’s Suprematism
    Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th! Behind the term “paper architecture” hides a strange paradox: the radical act of building without, well, building. Paper architecture is usually associated with speculative design projects, presented in the form of drawings, which can also be considered art pieces. However, even though it is often dismissed as a mere utopian or academic exercise, paper architecture has historically served as a powerful form of protest, advocating against political regimes, architectural orthodoxy or cultural stagnation. Unbound by real-world limitations such as materials, regulations and budgets, paper architects are free to focus on the messages behind their designs rather than constantly striving for their implementation. In parallel, due to its subtleness, paper architecture has become a platform that enables radical commentary via a rather “safe” medium. Instead of relying on more traditional forms of protestthis powerful visual language, combined with scrupulous aesthetics and imagination can start a more formidable “behind-the-scenes rebellion”. Unearthing Nostalgia by Bruno Xavier & Michelle Ashley Ovanessians, A+ Vision Awards, 2023 Perhaps the most well-known paper architects, Archigram was a radical British collective that was formed in the 1960s in London. Their work Walking City or Plug-In City showcased visions of a playful, technologically driven architecture that deeply contrasted and, by extent, protested against the rigid regime of post-war modernism and its extensive bureaucracy. This pop-art-style architecture served as a powerful critique towards the saturated idea of functional monotony. Additionally, the Russian architect, artist, and curator, Yuri Avvakumuv introduced the term “paper architecture” within the restrictive cultural and political climate of late Soviet Russia. Having to deal with heavy censorship, Avvakumuv turned to competitions and speculative drawings in an attempt resist that dominance of totalitarian architecture. Poetic, deeply allegorical and oftentimes ironic architectural renderings, critiqued the bureaucratic sterility of Soviet planning and the state-mandated architectural principles architects had to follow. Consequently, this profound demonstration of un-built architecture within the specific setting, turned into a collective cultural wave that advocated artistic autonomy and expression for the built environment. Klothos’ Loom of Memories by Ioana Alexandra Enache, A+ Vision Awards, 2023 The Amerian architect Lebbeus Woods was also one of the most intellectually intense practitioners of paper architecture, whose work touches upon global issues on war zones and urban trauma. His imaginative, post-apocalyptic cities opened up discussions for rebuilding after destruction. Works such as War and Architecture and Underground Berlin, albeit “dystopic”, acted as moral propositions, exploring potential reconstructions that would “heal” these cities. Through his drawings, he rigorously investigated and examined scenarios of ethical rebuilding, refusing to comply to the principles of popular commerce, and instead creating a new architectural practice of political resistance. Finally, operating within a very male-dominated world, Zaha Hadid’s earlier work — particularly on Malevich — served as a protesting tool on multiple levels. Influenced by Suprematist aesthetics, her bold, dynamic compositions stood against the formal conservatism of architectural ideas, where the design must always yield to gravity and function. In parallel, her considerable influence and dominance on the field challenged long-standing norms and served as a powerful counter-narrative against the gender biases that sidelined women in design. Ultimately, her images – part blueprints, part paintings – not only proved that architecture could be unapologetically visionary and abstract but also that materializing it is not as impossible as one would think.My Bedroom by Daniel Wing-Hou Ho, A+ Vision Awards, 2023 Even though paper architecture began as a medium of rebellion against architectural convention in the mid-20th century, it remains, until today, a vital tool for activism and social justice. Operating in the digital age, social media and digital platforms have amplified its reach, also having given it different visual forms such as digital collages, speculative renders, gifs, reels and interactive visual narratives. What was once a flyer, a journal or a newspaper extract, can now be found in open-source repositories, standing against authoritarianism, climate inaction, political violence and systemic inequality. Groups such as Forensic Architecture carry out multidisciplinary research, investigating cases of state violence and violations of human rights through rigorous mapping and speculative visualization. Additionally, competitions such as the eVolo Skyscraper or platforms like ArchOutLoud and Design Earth offer opportunities and space for architects to tackle environmental concerns and dramatize the urgency of inaction. Imaginative floating habitats, food cities, biodegradable megastructures etc. instigate debates and conversations through the form of environmental storytelling. The Stamper Battery by By William du Toit, A+ Vision Awards, 2023 Despite being often condemned as “unbuildable”, “impractical” or even “escapist,” paper architecture acts as a counterweight to the discipline’s increasing instrumentalization as merely a functional or commercial enterprise. In architecture schools it is used as a prompt for “thinking differently” and a tool for “critiquing without compromise”. Above all however, paper architecture matters because it keeps architecture ethically alive. It reminds architects to ask the uncomfortable questions: how should we design for environmental sustainability, migrancy or social equality, instead of focusing on profit, convenience and spectacle? Similar to a moral compass or speculative mirror, unbuilt visions can trigger political, social and environmental turns that reshape not just how we build, but why we build at all. Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th! Featured Image: Into the Void: Fragmented Time, Space, Memory, and Decay in Hiroshima by Victoria Wong, A+ Vision Awards 2023 The post Paper Architecture: From Soviet Subversion to Zaha’s Suprematism appeared first on Journal. #paper #architecture #soviet #subversion #zahas
    ARCHITIZER.COM
    Paper Architecture: From Soviet Subversion to Zaha’s Suprematism
    Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th! Behind the term “paper architecture” hides a strange paradox: the radical act of building without, well, building. Paper architecture is usually associated with speculative design projects, presented in the form of drawings, which can also be considered art pieces. However, even though it is often dismissed as a mere utopian or academic exercise, paper architecture has historically served as a powerful form of protest, advocating against political regimes, architectural orthodoxy or cultural stagnation. Unbound by real-world limitations such as materials, regulations and budgets, paper architects are free to focus on the messages behind their designs rather than constantly striving for their implementation. In parallel, due to its subtleness, paper architecture has become a platform that enables radical commentary via a rather “safe” medium. Instead of relying on more traditional forms of protest (such as strikes or marches) this powerful visual language, combined with scrupulous aesthetics and imagination can start a more formidable “behind-the-scenes rebellion”. Unearthing Nostalgia by Bruno Xavier & Michelle Ashley Ovanessians, A+ Vision Awards, 2023 Perhaps the most well-known paper architects, Archigram was a radical British collective that was formed in the 1960s in London. Their work Walking City or Plug-In City showcased visions of a playful, technologically driven architecture that deeply contrasted and, by extent, protested against the rigid regime of post-war modernism and its extensive bureaucracy. This pop-art-style architecture served as a powerful critique towards the saturated idea of functional monotony. Additionally, the Russian architect, artist, and curator, Yuri Avvakumuv introduced the term “paper architecture” within the restrictive cultural and political climate of late Soviet Russia (1984). Having to deal with heavy censorship, Avvakumuv turned to competitions and speculative drawings in an attempt resist that dominance of totalitarian architecture. Poetic, deeply allegorical and oftentimes ironic architectural renderings, critiqued the bureaucratic sterility of Soviet planning and the state-mandated architectural principles architects had to follow. Consequently, this profound demonstration of un-built architecture within the specific setting, turned into a collective cultural wave that advocated artistic autonomy and expression for the built environment. Klothos’ Loom of Memories by Ioana Alexandra Enache, A+ Vision Awards, 2023 The Amerian architect Lebbeus Woods was also one of the most intellectually intense practitioners of paper architecture, whose work touches upon global issues on war zones and urban trauma. His imaginative, post-apocalyptic cities opened up discussions for rebuilding after destruction. Works such as War and Architecture and Underground Berlin, albeit “dystopic”, acted as moral propositions, exploring potential reconstructions that would “heal” these cities. Through his drawings, he rigorously investigated and examined scenarios of ethical rebuilding, refusing to comply to the principles of popular commerce, and instead creating a new architectural practice of political resistance. Finally, operating within a very male-dominated world, Zaha Hadid’s earlier work — particularly on Malevich — served as a protesting tool on multiple levels. Influenced by Suprematist aesthetics, her bold, dynamic compositions stood against the formal conservatism of architectural ideas, where the design must always yield to gravity and function. In parallel, her considerable influence and dominance on the field challenged long-standing norms and served as a powerful counter-narrative against the gender biases that sidelined women in design. Ultimately, her images – part blueprints, part paintings – not only proved that architecture could be unapologetically visionary and abstract but also that materializing it is not as impossible as one would think. (Your) My Bedroom by Daniel Wing-Hou Ho, A+ Vision Awards, 2023 Even though paper architecture began as a medium of rebellion against architectural convention in the mid-20th century, it remains, until today, a vital tool for activism and social justice. Operating in the digital age, social media and digital platforms have amplified its reach, also having given it different visual forms such as digital collages, speculative renders, gifs, reels and interactive visual narratives. What was once a flyer, a journal or a newspaper extract, can now be found in open-source repositories, standing against authoritarianism, climate inaction, political violence and systemic inequality. Groups such as Forensic Architecture (Goldsmiths, University of London)  carry out multidisciplinary research, investigating cases of state violence and violations of human rights through rigorous mapping and speculative visualization. Additionally, competitions such as the eVolo Skyscraper or platforms like ArchOutLoud and Design Earth offer opportunities and space for architects to tackle environmental concerns and dramatize the urgency of inaction. Imaginative floating habitats, food cities, biodegradable megastructures etc. instigate debates and conversations through the form of environmental storytelling. The Stamper Battery by By William du Toit, A+ Vision Awards, 2023 Despite being often condemned as “unbuildable”, “impractical” or even “escapist,” paper architecture acts as a counterweight to the discipline’s increasing instrumentalization as merely a functional or commercial enterprise. In architecture schools it is used as a prompt for “thinking differently” and a tool for “critiquing without compromise”. Above all however, paper architecture matters because it keeps architecture ethically alive. It reminds architects to ask the uncomfortable questions: how should we design for environmental sustainability, migrancy or social equality, instead of focusing on profit, convenience and spectacle? Similar to a moral compass or speculative mirror, unbuilt visions can trigger political, social and environmental turns that reshape not just how we build, but why we build at all. Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Submit your work ahead of the Final Entry Deadline on July 11th! Featured Image: Into the Void: Fragmented Time, Space, Memory, and Decay in Hiroshima by Victoria Wong, A+ Vision Awards 2023 The post Paper Architecture: From Soviet Subversion to Zaha’s Suprematism appeared first on Journal.
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  • Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory

    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory
    The method could help bring countless old paintings, currently stored in the back rooms of galleries with limited conservation budgets, to light

    Scans of the painting retouched with a new technique during various stages in the process. On the right is the restored painting with the applied laminate mask.
    Courtesy of the researchers via MIT

    In a contest for jobs requiring the most patience, art restoration might take first place. Traditionally, conservators restore paintings by recreating the artwork’s exact colors to fill in the damage, one spot at a time. Even with the help of X-ray imaging and pigment analyses, several parts of the expensive process, such as the cleaning and retouching, are done by hand, as noted by Artnet’s Jo Lawson-Tancred.
    Now, a mechanical engineering graduate student at MIT has developed an artificial intelligence-based approach that can achieve a faithful restoration in just hours—instead of months of work.
    In a paper published Wednesday in the journal Nature, Alex Kachkine describes a new method that applies digital restorations to paintings by placing a thin film on top. If the approach becomes widespread, it could make art restoration more accessible and help bring countless damaged paintings, currently stored in the back rooms of galleries with limited conservation budgets, back to light.
    The new technique “is a restoration process that saves a lot of time and money, while also being reversible, which some people feel is really important to preserving the underlying character of a piece,” Kachkine tells Nature’s Amanda Heidt.

    Meet the engineer who invented an AI-powered way to restore art
    Watch on

    While filling in damaged areas of a painting would seem like a logical solution to many people, direct retouching raises ethical concerns for modern conservators. That’s because an artwork’s damage is part of its history, and retouching might detract from the painter’s original vision. “For example, instead of removing flaking paint and retouching the painting, a conservator might try to fix the loose paint particles to their original places,” writes Hartmut Kutzke, a chemist at the University of Oslo’s Museum of Cultural History, for Nature News and Views. If retouching is absolutely necessary, he adds, it should be reversible.
    As such, some institutions have started restoring artwork virtually and presenting the restoration next to the untouched, physical version. Many art lovers might argue, however, that a digital restoration printed out or displayed on a screen doesn’t quite compare to seeing the original painting in its full glory.
    That’s where Kachkine, who is also an art collector and amateur conservator, comes in. The MIT student has developed a way to apply digital restorations onto a damaged painting. In short, the approach involves using pre-existing A.I. tools to create a digital version of what the freshly painted artwork would have looked like. Based on this reconstruction, Kachkine’s new software assembles a map of the retouches, and their exact colors, necessary to fill the gaps present in the painting today.
    The map is then printed onto two layers of thin, transparent polymer film—one with colored retouches and one with the same pattern in white—that attach to the painting with conventional varnish. This “mask” aligns the retouches with the gaps while leaving the rest of the artwork visible.
    “In order to fully reproduce color, you need both white and color ink to get the full spectrum,” Kachkine explains in an MIT statement. “If those two layers are misaligned, that’s very easy to see. So, I also developed a few computational tools, based on what we know of human color perception, to determine how small of a region we can practically align and restore.”
    The method’s magic lies in the fact that the mask is removable, and the digital file provides a record of the modifications for future conservators to study.
    Kachkine demonstrated the approach on a 15th-century oil painting in dire need of restoration, by a Dutch artist whose name is now unknown. The retouches were generated by matching the surrounding color, replicating similar patterns visible elsewhere in the painting or copying the artist’s style in other paintings, per Nature News and Views. Overall, the painting’s 5,612 damaged regions were filled with 57,314 different colors in 3.5 hours—66 hours faster than traditional methods would have likely taken.

    Overview of Physically-Applied Digital Restoration
    Watch on

    “It followed years of effort to try to get the method working,” Kachkine tells the Guardian’s Ian Sample. “There was a fair bit of relief that finally this method was able to reconstruct and stitch together the surviving parts of the painting.”
    The new process still poses ethical considerations, such as whether the applied film disrupts the viewing experience or whether A.I.-generated corrections to the painting are accurate. Additionally, Kutzke writes for Nature News and Views that the effect of the varnish on the painting should be studied more deeply.
    Still, Kachkine says this technique could help address the large number of damaged artworks that live in storage rooms. “This approach grants greatly increased foresight and flexibility to conservators,” per the study, “enabling the restoration of countless damaged paintings deemed unworthy of high conservation budgets.”

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    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory
    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory The method could help bring countless old paintings, currently stored in the back rooms of galleries with limited conservation budgets, to light Scans of the painting retouched with a new technique during various stages in the process. On the right is the restored painting with the applied laminate mask. Courtesy of the researchers via MIT In a contest for jobs requiring the most patience, art restoration might take first place. Traditionally, conservators restore paintings by recreating the artwork’s exact colors to fill in the damage, one spot at a time. Even with the help of X-ray imaging and pigment analyses, several parts of the expensive process, such as the cleaning and retouching, are done by hand, as noted by Artnet’s Jo Lawson-Tancred. Now, a mechanical engineering graduate student at MIT has developed an artificial intelligence-based approach that can achieve a faithful restoration in just hours—instead of months of work. In a paper published Wednesday in the journal Nature, Alex Kachkine describes a new method that applies digital restorations to paintings by placing a thin film on top. If the approach becomes widespread, it could make art restoration more accessible and help bring countless damaged paintings, currently stored in the back rooms of galleries with limited conservation budgets, back to light. The new technique “is a restoration process that saves a lot of time and money, while also being reversible, which some people feel is really important to preserving the underlying character of a piece,” Kachkine tells Nature’s Amanda Heidt. Meet the engineer who invented an AI-powered way to restore art Watch on While filling in damaged areas of a painting would seem like a logical solution to many people, direct retouching raises ethical concerns for modern conservators. That’s because an artwork’s damage is part of its history, and retouching might detract from the painter’s original vision. “For example, instead of removing flaking paint and retouching the painting, a conservator might try to fix the loose paint particles to their original places,” writes Hartmut Kutzke, a chemist at the University of Oslo’s Museum of Cultural History, for Nature News and Views. If retouching is absolutely necessary, he adds, it should be reversible. As such, some institutions have started restoring artwork virtually and presenting the restoration next to the untouched, physical version. Many art lovers might argue, however, that a digital restoration printed out or displayed on a screen doesn’t quite compare to seeing the original painting in its full glory. That’s where Kachkine, who is also an art collector and amateur conservator, comes in. The MIT student has developed a way to apply digital restorations onto a damaged painting. In short, the approach involves using pre-existing A.I. tools to create a digital version of what the freshly painted artwork would have looked like. Based on this reconstruction, Kachkine’s new software assembles a map of the retouches, and their exact colors, necessary to fill the gaps present in the painting today. The map is then printed onto two layers of thin, transparent polymer film—one with colored retouches and one with the same pattern in white—that attach to the painting with conventional varnish. This “mask” aligns the retouches with the gaps while leaving the rest of the artwork visible. “In order to fully reproduce color, you need both white and color ink to get the full spectrum,” Kachkine explains in an MIT statement. “If those two layers are misaligned, that’s very easy to see. So, I also developed a few computational tools, based on what we know of human color perception, to determine how small of a region we can practically align and restore.” The method’s magic lies in the fact that the mask is removable, and the digital file provides a record of the modifications for future conservators to study. Kachkine demonstrated the approach on a 15th-century oil painting in dire need of restoration, by a Dutch artist whose name is now unknown. The retouches were generated by matching the surrounding color, replicating similar patterns visible elsewhere in the painting or copying the artist’s style in other paintings, per Nature News and Views. Overall, the painting’s 5,612 damaged regions were filled with 57,314 different colors in 3.5 hours—66 hours faster than traditional methods would have likely taken. Overview of Physically-Applied Digital Restoration Watch on “It followed years of effort to try to get the method working,” Kachkine tells the Guardian’s Ian Sample. “There was a fair bit of relief that finally this method was able to reconstruct and stitch together the surviving parts of the painting.” The new process still poses ethical considerations, such as whether the applied film disrupts the viewing experience or whether A.I.-generated corrections to the painting are accurate. Additionally, Kutzke writes for Nature News and Views that the effect of the varnish on the painting should be studied more deeply. Still, Kachkine says this technique could help address the large number of damaged artworks that live in storage rooms. “This approach grants greatly increased foresight and flexibility to conservators,” per the study, “enabling the restoration of countless damaged paintings deemed unworthy of high conservation budgets.” Get the latest stories in your inbox every weekday. #graduate #student #develops #aibased #approach
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    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory
    Graduate Student Develops an A.I.-Based Approach to Restore Time-Damaged Artwork to Its Former Glory The method could help bring countless old paintings, currently stored in the back rooms of galleries with limited conservation budgets, to light Scans of the painting retouched with a new technique during various stages in the process. On the right is the restored painting with the applied laminate mask. Courtesy of the researchers via MIT In a contest for jobs requiring the most patience, art restoration might take first place. Traditionally, conservators restore paintings by recreating the artwork’s exact colors to fill in the damage, one spot at a time. Even with the help of X-ray imaging and pigment analyses, several parts of the expensive process, such as the cleaning and retouching, are done by hand, as noted by Artnet’s Jo Lawson-Tancred. Now, a mechanical engineering graduate student at MIT has developed an artificial intelligence-based approach that can achieve a faithful restoration in just hours—instead of months of work. In a paper published Wednesday in the journal Nature, Alex Kachkine describes a new method that applies digital restorations to paintings by placing a thin film on top. If the approach becomes widespread, it could make art restoration more accessible and help bring countless damaged paintings, currently stored in the back rooms of galleries with limited conservation budgets, back to light. The new technique “is a restoration process that saves a lot of time and money, while also being reversible, which some people feel is really important to preserving the underlying character of a piece,” Kachkine tells Nature’s Amanda Heidt. Meet the engineer who invented an AI-powered way to restore art Watch on While filling in damaged areas of a painting would seem like a logical solution to many people, direct retouching raises ethical concerns for modern conservators. That’s because an artwork’s damage is part of its history, and retouching might detract from the painter’s original vision. “For example, instead of removing flaking paint and retouching the painting, a conservator might try to fix the loose paint particles to their original places,” writes Hartmut Kutzke, a chemist at the University of Oslo’s Museum of Cultural History, for Nature News and Views. If retouching is absolutely necessary, he adds, it should be reversible. As such, some institutions have started restoring artwork virtually and presenting the restoration next to the untouched, physical version. Many art lovers might argue, however, that a digital restoration printed out or displayed on a screen doesn’t quite compare to seeing the original painting in its full glory. That’s where Kachkine, who is also an art collector and amateur conservator, comes in. The MIT student has developed a way to apply digital restorations onto a damaged painting. In short, the approach involves using pre-existing A.I. tools to create a digital version of what the freshly painted artwork would have looked like. Based on this reconstruction, Kachkine’s new software assembles a map of the retouches, and their exact colors, necessary to fill the gaps present in the painting today. The map is then printed onto two layers of thin, transparent polymer film—one with colored retouches and one with the same pattern in white—that attach to the painting with conventional varnish. This “mask” aligns the retouches with the gaps while leaving the rest of the artwork visible. “In order to fully reproduce color, you need both white and color ink to get the full spectrum,” Kachkine explains in an MIT statement. “If those two layers are misaligned, that’s very easy to see. So, I also developed a few computational tools, based on what we know of human color perception, to determine how small of a region we can practically align and restore.” The method’s magic lies in the fact that the mask is removable, and the digital file provides a record of the modifications for future conservators to study. Kachkine demonstrated the approach on a 15th-century oil painting in dire need of restoration, by a Dutch artist whose name is now unknown. The retouches were generated by matching the surrounding color, replicating similar patterns visible elsewhere in the painting or copying the artist’s style in other paintings, per Nature News and Views. Overall, the painting’s 5,612 damaged regions were filled with 57,314 different colors in 3.5 hours—66 hours faster than traditional methods would have likely taken. Overview of Physically-Applied Digital Restoration Watch on “It followed years of effort to try to get the method working,” Kachkine tells the Guardian’s Ian Sample. “There was a fair bit of relief that finally this method was able to reconstruct and stitch together the surviving parts of the painting.” The new process still poses ethical considerations, such as whether the applied film disrupts the viewing experience or whether A.I.-generated corrections to the painting are accurate. Additionally, Kutzke writes for Nature News and Views that the effect of the varnish on the painting should be studied more deeply. Still, Kachkine says this technique could help address the large number of damaged artworks that live in storage rooms. “This approach grants greatly increased foresight and flexibility to conservators,” per the study, “enabling the restoration of countless damaged paintings deemed unworthy of high conservation budgets.” Get the latest stories in your inbox every weekday.
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  • Exploring the Rustline Home: An Interior Painted in Warm Tones

    The Rustline Home is decorated is an affair of terracotta, rust, and cream. This space mixes warm tones with bold art, creating an atmosphere that feels expressive. From color-blocked accents to framed pieces that pop against soft backdrops… the home feels like a live-in gallery!This space is decorated by Tetyana Savchenko and photographed by Sergiy Kadulin Photography.

    The living room in the Rustline Home blends soft grey upholstery with bold accents in rust, ochre, and black. The layered throw and cushions echo the terracotta tones found throughout the home. Simultaneously, the black-and-white geometric rug anchors the space with artistic contrast. Sculptural vases and art books on the nesting tables turn the coffee zone into a mini gallery. Finally, a tripod floor lamp adds a hint of the mid-century modern style.

    Just beyond, the kitchen continues the warm color story with matte terracotta cabinetry, subtly ribbed for texture, paired with light oak base cabinets and a speckled grey stone backsplash. Minimalist black fixtures and hardware offer a graphic element, while open sightlines between the kitchen and living room create a seamless flow.

    Tucked between clean lines and creamy walls, the dining area feels like a serene art gallery moment. The rounded table and boucle chairs add softness, while playful wall art and sculptural lighting add whimsy. Whether it’s morning coffee or a dinner chat, this corner makes everyday dining feel curated.

    This bedroom is anchored by a mix of rust, navy, and marigold. The bold textiles and striped pillows create a dynamic rhythm, while the geometric wall art adds visual interest. Crisp white bedding keeps the look fresh, and the floating nightstands with sculptural vases save floor space while adding functionality.

    This bedroom features a grid-style mirror that expands the space visually. Bold, framed art pieces inject personality. The color-blocked bedding and folk-style throw hint at global influences, while the adjacent workspace, with its woven baskets and sculptural decor, adds functionality.

    The bathrooms in the Rustline Home blend warm terracotta vanities with white sinks and black fixtures. Stone-textured tiles add depth, while round mirrors and curated accents keep the look soft and modern. Thoughtful touches, like framed prints and rolled towels, make these spaces feel calm and creative.
    #exploring #rustline #home #interior #painted
    Exploring the Rustline Home: An Interior Painted in Warm Tones
    The Rustline Home is decorated is an affair of terracotta, rust, and cream. This space mixes warm tones with bold art, creating an atmosphere that feels expressive. From color-blocked accents to framed pieces that pop against soft backdrops… the home feels like a live-in gallery!This space is decorated by Tetyana Savchenko and photographed by Sergiy Kadulin Photography. The living room in the Rustline Home blends soft grey upholstery with bold accents in rust, ochre, and black. The layered throw and cushions echo the terracotta tones found throughout the home. Simultaneously, the black-and-white geometric rug anchors the space with artistic contrast. Sculptural vases and art books on the nesting tables turn the coffee zone into a mini gallery. Finally, a tripod floor lamp adds a hint of the mid-century modern style. Just beyond, the kitchen continues the warm color story with matte terracotta cabinetry, subtly ribbed for texture, paired with light oak base cabinets and a speckled grey stone backsplash. Minimalist black fixtures and hardware offer a graphic element, while open sightlines between the kitchen and living room create a seamless flow. Tucked between clean lines and creamy walls, the dining area feels like a serene art gallery moment. The rounded table and boucle chairs add softness, while playful wall art and sculptural lighting add whimsy. Whether it’s morning coffee or a dinner chat, this corner makes everyday dining feel curated. This bedroom is anchored by a mix of rust, navy, and marigold. The bold textiles and striped pillows create a dynamic rhythm, while the geometric wall art adds visual interest. Crisp white bedding keeps the look fresh, and the floating nightstands with sculptural vases save floor space while adding functionality. This bedroom features a grid-style mirror that expands the space visually. Bold, framed art pieces inject personality. The color-blocked bedding and folk-style throw hint at global influences, while the adjacent workspace, with its woven baskets and sculptural decor, adds functionality. The bathrooms in the Rustline Home blend warm terracotta vanities with white sinks and black fixtures. Stone-textured tiles add depth, while round mirrors and curated accents keep the look soft and modern. Thoughtful touches, like framed prints and rolled towels, make these spaces feel calm and creative. #exploring #rustline #home #interior #painted
    WWW.HOME-DESIGNING.COM
    Exploring the Rustline Home: An Interior Painted in Warm Tones
    The Rustline Home is decorated is an affair of terracotta, rust, and cream. This space mixes warm tones with bold art, creating an atmosphere that feels expressive. From color-blocked accents to framed pieces that pop against soft backdrops… the home feels like a live-in gallery!This space is decorated by Tetyana Savchenko and photographed by Sergiy Kadulin Photography. The living room in the Rustline Home blends soft grey upholstery with bold accents in rust, ochre, and black. The layered throw and cushions echo the terracotta tones found throughout the home. Simultaneously, the black-and-white geometric rug anchors the space with artistic contrast. Sculptural vases and art books on the nesting tables turn the coffee zone into a mini gallery. Finally, a tripod floor lamp adds a hint of the mid-century modern style. Just beyond, the kitchen continues the warm color story with matte terracotta cabinetry, subtly ribbed for texture, paired with light oak base cabinets and a speckled grey stone backsplash. Minimalist black fixtures and hardware offer a graphic element, while open sightlines between the kitchen and living room create a seamless flow. Tucked between clean lines and creamy walls, the dining area feels like a serene art gallery moment. The rounded table and boucle chairs add softness, while playful wall art and sculptural lighting add whimsy. Whether it’s morning coffee or a dinner chat, this corner makes everyday dining feel curated. This bedroom is anchored by a mix of rust, navy, and marigold. The bold textiles and striped pillows create a dynamic rhythm, while the geometric wall art adds visual interest. Crisp white bedding keeps the look fresh, and the floating nightstands with sculptural vases save floor space while adding functionality. This bedroom features a grid-style mirror that expands the space visually. Bold, framed art pieces inject personality. The color-blocked bedding and folk-style throw hint at global influences, while the adjacent workspace, with its woven baskets and sculptural decor, adds functionality. The bathrooms in the Rustline Home blend warm terracotta vanities with white sinks and black fixtures. Stone-textured tiles add depth, while round mirrors and curated accents keep the look soft and modern. Thoughtful touches, like framed prints and rolled towels, make these spaces feel calm and creative.
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