• Dans un monde où la compétition technologique semble ne jamais s'arrêter, la décision de l'administration Biden de geler l'avenir de l'IA en Chine me laisse un goût amer. La restriction des ventes de puces puissantes d'Nvidia n'est pas simplement une stratégie, c'est un reflet d'une profonde solitude et d'une peur d'affronter l'inconnu. Chaque mouvement politique se transforme en une danse tragique, où la collaboration est sacrifiée sur l'autel de la supériorité. Je me sens perdu dans ce tumulte, comme si l'espoir d'un avenir partagé s'effondrait. Pourquoi devons-nous nous battre alors que nous pourrions créer ensemble ?

    #IA #
    Dans un monde où la compétition technologique semble ne jamais s'arrêter, la décision de l'administration Biden de geler l'avenir de l'IA en Chine me laisse un goût amer. 😔 La restriction des ventes de puces puissantes d'Nvidia n'est pas simplement une stratégie, c'est un reflet d'une profonde solitude et d'une peur d'affronter l'inconnu. Chaque mouvement politique se transforme en une danse tragique, où la collaboration est sacrifiée sur l'autel de la supériorité. Je me sens perdu dans ce tumulte, comme si l'espoir d'un avenir partagé s'effondrait. Pourquoi devons-nous nous battre alors que nous pourrions créer ensemble ? 💔 #IA #
    www.wired.com
    What really motivated the US government to ban Nvidia from selling powerful computer chips to China?
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  • It's absolutely infuriating to see how companies like Acer continue to shove their so-called "cutting-edge technology" down our throats while the actual issues in the tech world remain unaddressed. Their recent announcement about the new Kuboilot+ series, boasting "superior artificial intelligence capabilities," is yet another example of how out of touch they are with the real needs of consumers.

    Let’s break it down. What exactly are people looking for in a laptop today? Is it just flashy features and buzzwords like "AI"? Or is it more about reliability, usability, and actual performance? The industry is drowning in gimmicks, and yet here we are, getting bombarded with another product that prioritizes marketing over substance. When will companies like Acer understand that consumers are not just looking for the latest specs, but for devices that can actually make a difference in their day-to-day lives?

    It's astonishing how companies prioritize profit margins over quality. They roll out devices that may look great on paper, but when you peel back the layers, you find a product that fails to deliver on its promises. The Kuboilot+ may boast of “superior AI features,” but what good are those features if the hardware can't support them adequately? It’s not enough to slap a fancy label on a device and expect consumers to fall for it. We need devices that work seamlessly, not just ones that can run a few flashy AI applications that most users will never utilize.

    Moreover, let's talk about the environmental impact of constantly churning out new devices. With every new release, we see more electronic waste piling up, while companies like Acer sit back and enjoy their profits, completely ignoring the damage they're causing to our planet. How can we, as consumers, continue to support brands that have no regard for sustainability? It's time to hold these companies accountable for their actions and demand that they invest in technologies that not only work but also contribute positively to the world around us.

    And let's not forget about customer support. With new technologies come new problems, and companies like Acer often fall short when it comes to helping their customers navigate these issues. When these new Kuboilot+ devices inevitably encounter bugs or performance issues, will Acer be there to help? Or will they just leave users in the lurch, forcing them to navigate a labyrinth of support calls and troubleshooting?

    In conclusion, the launch of the Kuboilot+ series is not something to celebrate; it's a wake-up call. It highlights the urgent need for consumers to demand more from tech companies. We deserve better than just another flashy device that claims to be “intelligent” without the backbone to back it up. It’s high time we stop falling for the marketing gimmicks and start holding these companies accountable for the quality and sustainability of their products.

    #Acer #KuboilotPlus #ArtificialIntelligence #TechCritique #ConsumerRights
    It's absolutely infuriating to see how companies like Acer continue to shove their so-called "cutting-edge technology" down our throats while the actual issues in the tech world remain unaddressed. Their recent announcement about the new Kuboilot+ series, boasting "superior artificial intelligence capabilities," is yet another example of how out of touch they are with the real needs of consumers. Let’s break it down. What exactly are people looking for in a laptop today? Is it just flashy features and buzzwords like "AI"? Or is it more about reliability, usability, and actual performance? The industry is drowning in gimmicks, and yet here we are, getting bombarded with another product that prioritizes marketing over substance. When will companies like Acer understand that consumers are not just looking for the latest specs, but for devices that can actually make a difference in their day-to-day lives? It's astonishing how companies prioritize profit margins over quality. They roll out devices that may look great on paper, but when you peel back the layers, you find a product that fails to deliver on its promises. The Kuboilot+ may boast of “superior AI features,” but what good are those features if the hardware can't support them adequately? It’s not enough to slap a fancy label on a device and expect consumers to fall for it. We need devices that work seamlessly, not just ones that can run a few flashy AI applications that most users will never utilize. Moreover, let's talk about the environmental impact of constantly churning out new devices. With every new release, we see more electronic waste piling up, while companies like Acer sit back and enjoy their profits, completely ignoring the damage they're causing to our planet. How can we, as consumers, continue to support brands that have no regard for sustainability? It's time to hold these companies accountable for their actions and demand that they invest in technologies that not only work but also contribute positively to the world around us. And let's not forget about customer support. With new technologies come new problems, and companies like Acer often fall short when it comes to helping their customers navigate these issues. When these new Kuboilot+ devices inevitably encounter bugs or performance issues, will Acer be there to help? Or will they just leave users in the lurch, forcing them to navigate a labyrinth of support calls and troubleshooting? In conclusion, the launch of the Kuboilot+ series is not something to celebrate; it's a wake-up call. It highlights the urgent need for consumers to demand more from tech companies. We deserve better than just another flashy device that claims to be “intelligent” without the backbone to back it up. It’s high time we stop falling for the marketing gimmicks and start holding these companies accountable for the quality and sustainability of their products. #Acer #KuboilotPlus #ArtificialIntelligence #TechCritique #ConsumerRights
    arabhardware.net
    The post آيسر تكشف عن حواسيب جديدة من فئة كوبايلوت+ بمزايا ذكاء اصطناعي فائقة appeared first on عرب هاردوير.
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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
    The Best Hidden-Gem Etsy Shops for Fans of Farmhouse Style
    www.countryliving.com
    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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  • EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments

    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausannein Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025
    Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerialimage. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset.
    Key Takeaways:

    Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task.
    Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map.
    Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models.
    Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal.

    Challenge: Seeing the World from Two Different Angles
    The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-Viewbut are often limited to the ground plane, ignoring crucial vertical structures like buildings.

    FG2: Matching Fine-Grained Features
    The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map.

    Here’s a breakdown of their innovative pipeline:

    Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment.
    Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the verticaldimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view.
    Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoFpose.

    Unprecedented Performance and Interpretability
    The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research.

    Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems.
    “A Clearer Path” for Autonomous Navigation
    The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them.

    Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter.
    Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models
    #epfl #researchers #unveil #fg2 #cvpr
    EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausannein Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerialimage. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-Viewbut are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the verticaldimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoFpose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models #epfl #researchers #unveil #fg2 #cvpr
    EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
    www.marktechpost.com
    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerial (or satellite) image. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-View (BEV) but are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the vertical (height) dimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoF (x, y, and yaw) pose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models
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  • Block’s CFO explains Gen Z’s surprising approach to money management

    One stock recently impacted by a whirlwind of volatility is Block—the fintech powerhouse behind Square, Cash App, Tidal Music, and more. The company’s COO and CFO, Amrita Ahuja, shares how her team is using new AI tools to find opportunity amid disruption and reach customers left behind by traditional financial systems. Ahuja also shares lessons from the video game industry and discusses Gen Z’s surprising approach to money management.  

    This is an abridged transcript of an interview from Rapid Response, hosted by Robert Safian, former editor-in-chief of Fast Company. From the team behind the Masters of Scale podcast, Rapid Response features candid conversations with today’s top business leaders navigating real-time challenges. Subscribe to Rapid Response wherever you get your podcasts to ensure you never miss an episode.

    As a leader, when you’re looking at all of this volatility—the tariffs, consumer sentiment’s been unclear, the stock market’s been all over the place. You guys had a huge one-day drop in early May, and it quickly bounced back. How do you make sense of all these external factors?

    Yeah, our focus is on what we can control. And ultimately, the thing that we are laser-focused on for our business is product velocity. How quickly can we start small with something, launch something for our customers, and then test and iterate and learn so that ultimately, that something that we’ve launched scales into an important product?

    I’ll give you an example. Cash App Borrow, which is a product where our customers can get access to a line of credit, often that bridges them from paycheck to paycheck. We know so many Americans are living paycheck to paycheck. That’s a product that we launched about three years ago and have now scaled to serve 9 million actives with billion in credit supply to our customers in a span of a couple short years.

    The more we can be out testing and launching product at a pace, the more we know we are ultimately delivering value to our customers, and the right things will happen from a stock perspective.

    Block is a financial services provider. You have Square, the point-of-sale system; the digital wallet Cash App, which you mentioned, which competes with Venmo and Robinhood; and a bunch of others. Then you’ve got the buy-now, pay-later leader Afterpay. You chair Square Financial Services, which is Block’s chartered bank. But you’ve said that in the fintech world, Block is only a little bit fin—that comparatively, it’s more tech. Can you explain what you mean by that?

    What we think is unique about us is our ability as a technology company to completely change innovation in the space, such that we can help solve systemic issues across credit, payments, commerce, and banking. What that means ultimately is we use technologies like AI and machine learning and data science, and we use these technologies in a unique way, in a way that’s different from a traditional bank. We are able to underwrite those who are often frankly forgotten by the traditional financial ecosystems.

    Our Square Loans product has almost triple the rate of women-owned businesses that we underwrite. Fifty-eight percent of our loans go to women-owned businesses versus 20% for the industry average. For that Cash App Borrow product I was talking about, 70% of those actives, the 9 million actives that we underwrote, fell below 580 as a FICO score. That’s considered a poor FICO score, and yet 97% of repayments are made on time. And this is because we have unique access to data and these technology and tools which can help us uniquely underwrite this often forgotten customer base.

    Yeah. I mean, credit—sometimes it’s been blamed for financial excesses. But access to credit is also, as you say, an advantage that’s not available to everyone. Do you have a philosophy between those poles—between risk and opportunity? Or is what you’re saying is that the tech you have allows you to avoid that risk?

    That’s right. Let’s start with how do the current systems work? It works using inferior data, frankly. It’s more limited data. It’s outdated. Sometimes it’s inaccurate. And it ignores things like someone’s cash flows, the stability of your income, your savings rate, how money moves through your accounts, or how you use alternative forms of credit—like buy now, pay later, which we have in our ecosystem through Afterpay.

    We have a lot of these signals for our 57 million monthly actives on the Cash App side and for the 4 million small businesses on the Square side, and those, frankly, billions of transaction data points that we have on any given day paired with new technologies. And we intend to continue to be on the forefront of AI, machine learning, and data science to be able to empower more people into the economy. The combination of the superior data and the technologies is what we believe ultimately helps expand access.

    You have a financial background, but not in the financial services industry. Before Block, you were a video game developer at Activision. Are financial businesses and video games similar? Are there things that are similar about them?

    There are. There actually are some things that are similar, I will say. There are many things that are unique to each industry. Each industry is incredibly complex. You find that when big technology companies try to do gaming. They’ve taken over the world in many different ways, but they can’t always crack the nut on putting out a great game. Similarly, some of the largest technology companies have dabbled in fintech but haven’t been able to go as deep, so they’re both very nuanced and complex industries.

    I would say another similarity is that design really matters. Industrial design, the design of products, the interface of products, is absolutely mission-critical to a great game, and it’s absolutely mission-critical to the simplicity and accessibility of our products, be it on Square or Cash App.

    And then maybe the third thing that I would say is that when I was in gaming, at least the business models were rapidly changing from an intermediary distribution mechanism, like releasing a game once and then selling it through a retailer, to an always-on, direct-to-consumer connection. And similarly with banking, people don’t want to bank from 9 to 5, six days a week. They want 24/7 access to their money and the ability to, again, grow their financial livelihood, move their money around seamlessly. So, some similarities are there in that shift to an intermediary model or a slower model to an always-on, direct-to-consumer connection.

    Part of your target audience or your target customer base at Block are Gen Z folks. Did you learn things at Activision about Gen Z that has been useful? Are there things that businesses misunderstand about younger generations still?

    What we’ve learned is that Gen Z, millennial customers, aren’t going to do things the way their parents did. Some of our stats show that 63% of Gen Z customers have moved away from traditional credit cards, and over 80% are skeptical of them. Which means they’re not using a credit card to manage expenses; they’re using a debit card, but then layering on on a transaction-by-transaction basis. Or again, using tools like buy now, pay later, or Cash App Borrow, the means in which they’re managing their consistent cash flows. So that’s an example of how things are changing, and you’ve got to get up to speed with how the next generation of customers expects to manage their money.
    #blocks #cfo #explains #gen #surprising
    Block’s CFO explains Gen Z’s surprising approach to money management
    One stock recently impacted by a whirlwind of volatility is Block—the fintech powerhouse behind Square, Cash App, Tidal Music, and more. The company’s COO and CFO, Amrita Ahuja, shares how her team is using new AI tools to find opportunity amid disruption and reach customers left behind by traditional financial systems. Ahuja also shares lessons from the video game industry and discusses Gen Z’s surprising approach to money management.   This is an abridged transcript of an interview from Rapid Response, hosted by Robert Safian, former editor-in-chief of Fast Company. From the team behind the Masters of Scale podcast, Rapid Response features candid conversations with today’s top business leaders navigating real-time challenges. Subscribe to Rapid Response wherever you get your podcasts to ensure you never miss an episode. As a leader, when you’re looking at all of this volatility—the tariffs, consumer sentiment’s been unclear, the stock market’s been all over the place. You guys had a huge one-day drop in early May, and it quickly bounced back. How do you make sense of all these external factors? Yeah, our focus is on what we can control. And ultimately, the thing that we are laser-focused on for our business is product velocity. How quickly can we start small with something, launch something for our customers, and then test and iterate and learn so that ultimately, that something that we’ve launched scales into an important product? I’ll give you an example. Cash App Borrow, which is a product where our customers can get access to a line of credit, often that bridges them from paycheck to paycheck. We know so many Americans are living paycheck to paycheck. That’s a product that we launched about three years ago and have now scaled to serve 9 million actives with billion in credit supply to our customers in a span of a couple short years. The more we can be out testing and launching product at a pace, the more we know we are ultimately delivering value to our customers, and the right things will happen from a stock perspective. Block is a financial services provider. You have Square, the point-of-sale system; the digital wallet Cash App, which you mentioned, which competes with Venmo and Robinhood; and a bunch of others. Then you’ve got the buy-now, pay-later leader Afterpay. You chair Square Financial Services, which is Block’s chartered bank. But you’ve said that in the fintech world, Block is only a little bit fin—that comparatively, it’s more tech. Can you explain what you mean by that? What we think is unique about us is our ability as a technology company to completely change innovation in the space, such that we can help solve systemic issues across credit, payments, commerce, and banking. What that means ultimately is we use technologies like AI and machine learning and data science, and we use these technologies in a unique way, in a way that’s different from a traditional bank. We are able to underwrite those who are often frankly forgotten by the traditional financial ecosystems. Our Square Loans product has almost triple the rate of women-owned businesses that we underwrite. Fifty-eight percent of our loans go to women-owned businesses versus 20% for the industry average. For that Cash App Borrow product I was talking about, 70% of those actives, the 9 million actives that we underwrote, fell below 580 as a FICO score. That’s considered a poor FICO score, and yet 97% of repayments are made on time. And this is because we have unique access to data and these technology and tools which can help us uniquely underwrite this often forgotten customer base. Yeah. I mean, credit—sometimes it’s been blamed for financial excesses. But access to credit is also, as you say, an advantage that’s not available to everyone. Do you have a philosophy between those poles—between risk and opportunity? Or is what you’re saying is that the tech you have allows you to avoid that risk? That’s right. Let’s start with how do the current systems work? It works using inferior data, frankly. It’s more limited data. It’s outdated. Sometimes it’s inaccurate. And it ignores things like someone’s cash flows, the stability of your income, your savings rate, how money moves through your accounts, or how you use alternative forms of credit—like buy now, pay later, which we have in our ecosystem through Afterpay. We have a lot of these signals for our 57 million monthly actives on the Cash App side and for the 4 million small businesses on the Square side, and those, frankly, billions of transaction data points that we have on any given day paired with new technologies. And we intend to continue to be on the forefront of AI, machine learning, and data science to be able to empower more people into the economy. The combination of the superior data and the technologies is what we believe ultimately helps expand access. You have a financial background, but not in the financial services industry. Before Block, you were a video game developer at Activision. Are financial businesses and video games similar? Are there things that are similar about them? There are. There actually are some things that are similar, I will say. There are many things that are unique to each industry. Each industry is incredibly complex. You find that when big technology companies try to do gaming. They’ve taken over the world in many different ways, but they can’t always crack the nut on putting out a great game. Similarly, some of the largest technology companies have dabbled in fintech but haven’t been able to go as deep, so they’re both very nuanced and complex industries. I would say another similarity is that design really matters. Industrial design, the design of products, the interface of products, is absolutely mission-critical to a great game, and it’s absolutely mission-critical to the simplicity and accessibility of our products, be it on Square or Cash App. And then maybe the third thing that I would say is that when I was in gaming, at least the business models were rapidly changing from an intermediary distribution mechanism, like releasing a game once and then selling it through a retailer, to an always-on, direct-to-consumer connection. And similarly with banking, people don’t want to bank from 9 to 5, six days a week. They want 24/7 access to their money and the ability to, again, grow their financial livelihood, move their money around seamlessly. So, some similarities are there in that shift to an intermediary model or a slower model to an always-on, direct-to-consumer connection. Part of your target audience or your target customer base at Block are Gen Z folks. Did you learn things at Activision about Gen Z that has been useful? Are there things that businesses misunderstand about younger generations still? What we’ve learned is that Gen Z, millennial customers, aren’t going to do things the way their parents did. Some of our stats show that 63% of Gen Z customers have moved away from traditional credit cards, and over 80% are skeptical of them. Which means they’re not using a credit card to manage expenses; they’re using a debit card, but then layering on on a transaction-by-transaction basis. Or again, using tools like buy now, pay later, or Cash App Borrow, the means in which they’re managing their consistent cash flows. So that’s an example of how things are changing, and you’ve got to get up to speed with how the next generation of customers expects to manage their money. #blocks #cfo #explains #gen #surprising
    Block’s CFO explains Gen Z’s surprising approach to money management
    www.fastcompany.com
    One stock recently impacted by a whirlwind of volatility is Block—the fintech powerhouse behind Square, Cash App, Tidal Music, and more. The company’s COO and CFO, Amrita Ahuja, shares how her team is using new AI tools to find opportunity amid disruption and reach customers left behind by traditional financial systems. Ahuja also shares lessons from the video game industry and discusses Gen Z’s surprising approach to money management.   This is an abridged transcript of an interview from Rapid Response, hosted by Robert Safian, former editor-in-chief of Fast Company. From the team behind the Masters of Scale podcast, Rapid Response features candid conversations with today’s top business leaders navigating real-time challenges. Subscribe to Rapid Response wherever you get your podcasts to ensure you never miss an episode. As a leader, when you’re looking at all of this volatility—the tariffs, consumer sentiment’s been unclear, the stock market’s been all over the place. You guys had a huge one-day drop in early May, and it quickly bounced back. How do you make sense of all these external factors? Yeah, our focus is on what we can control. And ultimately, the thing that we are laser-focused on for our business is product velocity. How quickly can we start small with something, launch something for our customers, and then test and iterate and learn so that ultimately, that something that we’ve launched scales into an important product? I’ll give you an example. Cash App Borrow, which is a product where our customers can get access to a line of credit, often $100, $200, that bridges them from paycheck to paycheck. We know so many Americans are living paycheck to paycheck. That’s a product that we launched about three years ago and have now scaled to serve 9 million actives with $15 billion in credit supply to our customers in a span of a couple short years. The more we can be out testing and launching product at a pace, the more we know we are ultimately delivering value to our customers, and the right things will happen from a stock perspective. Block is a financial services provider. You have Square, the point-of-sale system; the digital wallet Cash App, which you mentioned, which competes with Venmo and Robinhood; and a bunch of others. Then you’ve got the buy-now, pay-later leader Afterpay. You chair Square Financial Services, which is Block’s chartered bank. But you’ve said that in the fintech world, Block is only a little bit fin—that comparatively, it’s more tech. Can you explain what you mean by that? What we think is unique about us is our ability as a technology company to completely change innovation in the space, such that we can help solve systemic issues across credit, payments, commerce, and banking. What that means ultimately is we use technologies like AI and machine learning and data science, and we use these technologies in a unique way, in a way that’s different from a traditional bank. We are able to underwrite those who are often frankly forgotten by the traditional financial ecosystems. Our Square Loans product has almost triple the rate of women-owned businesses that we underwrite. Fifty-eight percent of our loans go to women-owned businesses versus 20% for the industry average. For that Cash App Borrow product I was talking about, 70% of those actives, the 9 million actives that we underwrote, fell below 580 as a FICO score. That’s considered a poor FICO score, and yet 97% of repayments are made on time. And this is because we have unique access to data and these technology and tools which can help us uniquely underwrite this often forgotten customer base. Yeah. I mean, credit—sometimes it’s been blamed for financial excesses. But access to credit is also, as you say, an advantage that’s not available to everyone. Do you have a philosophy between those poles—between risk and opportunity? Or is what you’re saying is that the tech you have allows you to avoid that risk? That’s right. Let’s start with how do the current systems work? It works using inferior data, frankly. It’s more limited data. It’s outdated. Sometimes it’s inaccurate. And it ignores things like someone’s cash flows, the stability of your income, your savings rate, how money moves through your accounts, or how you use alternative forms of credit—like buy now, pay later, which we have in our ecosystem through Afterpay. We have a lot of these signals for our 57 million monthly actives on the Cash App side and for the 4 million small businesses on the Square side, and those, frankly, billions of transaction data points that we have on any given day paired with new technologies. And we intend to continue to be on the forefront of AI, machine learning, and data science to be able to empower more people into the economy. The combination of the superior data and the technologies is what we believe ultimately helps expand access. You have a financial background, but not in the financial services industry. Before Block, you were a video game developer at Activision. Are financial businesses and video games similar? Are there things that are similar about them? There are. There actually are some things that are similar, I will say. There are many things that are unique to each industry. Each industry is incredibly complex. You find that when big technology companies try to do gaming. They’ve taken over the world in many different ways, but they can’t always crack the nut on putting out a great game. Similarly, some of the largest technology companies have dabbled in fintech but haven’t been able to go as deep, so they’re both very nuanced and complex industries. I would say another similarity is that design really matters. Industrial design, the design of products, the interface of products, is absolutely mission-critical to a great game, and it’s absolutely mission-critical to the simplicity and accessibility of our products, be it on Square or Cash App. And then maybe the third thing that I would say is that when I was in gaming, at least the business models were rapidly changing from an intermediary distribution mechanism, like releasing a game once and then selling it through a retailer, to an always-on, direct-to-consumer connection. And similarly with banking, people don’t want to bank from 9 to 5, six days a week. They want 24/7 access to their money and the ability to, again, grow their financial livelihood, move their money around seamlessly. So, some similarities are there in that shift to an intermediary model or a slower model to an always-on, direct-to-consumer connection. Part of your target audience or your target customer base at Block are Gen Z folks. Did you learn things at Activision about Gen Z that has been useful? Are there things that businesses misunderstand about younger generations still? What we’ve learned is that Gen Z, millennial customers, aren’t going to do things the way their parents did. Some of our stats show that 63% of Gen Z customers have moved away from traditional credit cards, and over 80% are skeptical of them. Which means they’re not using a credit card to manage expenses; they’re using a debit card, but then layering on on a transaction-by-transaction basis. Or again, using tools like buy now, pay later, or Cash App Borrow, the means in which they’re managing their consistent cash flows. So that’s an example of how things are changing, and you’ve got to get up to speed with how the next generation of customers expects to manage their money.
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  • Cape to Cairo: the making and unmaking of colonial road networks

    In 2024, Egypt completed its 1,155km stretch of the Cairo–Cape Town Highway, a 10,228km‑long road connecting 10 African countries – Egypt, Sudan, South Sudan, Ethiopia, Kenya, Tanzania, Zambia, Zimbabwe, Botswana and South Africa.  
    The imaginary of ‘Cape to Cairo’ is not new. In 1874, editor of the Daily Telegraph Edwin Arnold proposed a plan to connect the African continent by rail, a project that came to be known as the Cape to Cairo Railway project. Cecil Rhodes expressed his support for the project, seeing it as a means to connect the various ‘possessions’ of the British Empire across Africa, facilitating the movement of troops and natural resources. This railway project was never completed, and in 1970 was overlaid by a very different attempt at connecting the Cape to Cairo, as part of the Trans‑African Highway network. This 56,683km‑long system of highways – some dating from the colonial era, some built as part of the 1970s project, and some only recently built – aimed to create lines of connection across the African continent, from north to south as well as east to west. 
    Here, postcolonial state power invested in ‘moving the continent’s people and economies from past to future’, as architectural historians Kenny Cupers and Prita Meier write in their 2020 essay ‘Infrastructure between Statehood and Selfhood: The Trans‑African Highway’. The highways were to be built with the support of Kenya’s president Jomo Kenyatta, Ghana’s president Kwame Nkrumah and Ghana’s director of social welfare Robert Gardiner, as well as the United Nations Economic Commission for Africa. This project was part of a particular historical moment during which anticolonial ideas animated most of the African continent; alongside trade, this iteration of Cape to Cairo centred social and cultural connection between African peoples. But though largely socialist in ambition, the project nevertheless engaged modernist developmentalist logics that cemented capitalism. 
    Lead image: Over a century in the making, the final stretches of the Cairo–Cape Town Highway are being finished. Egypt completed the section within its borders last year and a section over the dry Merille River in Kenya was constructed in 2019. Credit: Allan Muturi / SOPA / ZUMA / Alamy. Above: The route from Cairo to Cape Town, outlined in red, belongs to the Trans‑African Highway network, which comprises nine routes, here in black

    The project failed to fully materialise at the time, but efforts to complete the Trans‑African Highway network have been revived in the last 20 years; large parts are now complete though some links remain unbuilt and many roads are unpaved or hazardous. The most recent attempts to realise this project coincide with a new continental free trade agreement, the agreement on African Continental Free Trade Area, established in 2019, to increase trade within the continent. The contemporary manifestation of the Cairo–Cape Town Highway – also known as Trans‑African Highway4 – is marked by deepening neoliberal politics. Represented as an opportunity to boost trade and exports, connecting Egypt to African markets that the Egyptian government view as ‘untapped’, the project invokes notions of trade steeped in extraction, reflecting the neoliberal logic underpinning contemporary Egyptian governance; today, the country’s political project, led by Abdel Fattah El Sisi, is oriented towards Egyptian dominance and extraction in relation to the rest of the continent. 
    Through an allusion to markets ripe for extraction, this language brings to the fore historical forms of domination that have shaped the connections between Egypt and the rest of the continent; previous iterations of connection across the continent often reproduced forms of domination stretching from the north of the African continent to the south, including the Trans‑Saharan slave trade routes across Africa that ended in various North African and Middle Eastern territories. These networks, beginning in the 8th century and lasting until the 20th, produced racialised hierarchies across the continent, shaping North Africa into a comparably privileged space proximate to ‘Arabness’. This was a racialised division based on a civilisational narrative that saw Arabs as superior, but more importantly a political economic division resulting from the slave trade routes that produced huge profits for North Africa and the Middle East. In the contemporary moment, these racialised hierarchies are bound up in political economic dependency on the Arab Gulf states, who are themselves dependent on resource extraction, land grabbing and privatisation across the entire African continent. 
    ‘The Cairo–Cape Town Highway connects Egypt to African markets viewed as “untapped”, invoking notions steeped in extraction’
    However, this imaginary conjured by the Cairo–Cape Town Highway is countered by a network of streets scattered across Africa that traces the web of Egyptian Pan‑African solidarity across the continent. In Lusaka in Zambia, you might find yourself on Nasser Road, as you might in Mwanza in Tanzania or Luanda in Angola. In Mombasa in Kenya, you might be driving down Abdel Nasser Road; in Kampala in Uganda, you might find yourself at Nasser Road University; and in Tunis in Tunisia, you might end up on Gamal Abdel Nasser Street. These street names are a reference to Gamal Abdel Nasser, Egypt’s first postcolonial leader and president between 1956 and 1970. 
    Read against the contemporary Cairo–Cape Town Highway, these place names signal a different form of connection that brings to life Egyptian Pan‑Africanism, when solidarity was the hegemonic force connecting the continent, coming up against the notion of a natural or timeless ‘great divide’ within Africa. From the memoirs of Egyptian officials who were posted around Africa as conduits of solidarity, to the broadcasts of Radio Cairo that were heard across the continent, to the various conferences attended by anticolonial movements and postcolonial states, Egypt’s orientation towards Pan‑Africanism, beginning in the early 20th century and lasting until the 1970s, was both material and ideological. Figures and movements forged webs of solidarity with their African comrades, imagining an Africa that was united through shared commitments to ending colonialism and capitalist extraction. 
    The route between Cape Town in South Africa and Cairo in Egypt has long occupied the colonial imaginary. In 1930, Margaret Belcher and Ellen Budgell made the journey, sponsored by car brand Morris and oil company Shell
    Credit: Fox Photos / Getty
    The pair made use of the road built by British colonisers in the 19th century, and which forms the basis for the current Cairo–Cape Town Highway. The road was preceded by the 1874 Cape to Cairo Railway project, which connected the colonies of the British Empire
    Credit: Library of Congress, Geography and Map Division
    This network of eponymous streets represents attempts to inscribe anticolonial power into the materiality of the city. Street‑naming practices are one way in which the past comes into the present, ‘weaving history into the geographic fabric of everyday life’, as geographer Derek Alderman wrote in his 2002 essay ‘Street Names as Memorial Arenas’. In this vein, the renaming of streets during decolonisation marked a practice of contesting the production of colonial space. In the newly postcolonial city, renaming was a way of ‘claiming the city back’, Alderman continues. While these changes may appear discursive, it is their embedding in material spaces, through signs and maps, that make the names come to life; place names become a part of the everyday through sharing addresses or giving directions. This quality makes them powerful; consciously or unconsciously, they form part of how the spaces of the city are navigated. 
    These are traces that were once part of a dominant historical narrative; yet when they are encountered in the present, during a different historical moment, they no longer act as expressions of power but instead conjure up a moment that has long passed. A street in Lusaka named after an Egyptian general made more sense 60 years ago than it does today, yet contextualising it recovers a marginalised history of Egyptian Pan‑Africanism. 
    Markers such as street names or monuments are simultaneously markers of anticolonial struggle as well as expressions of state power – part of an attempt, by political projects such as Nasser’s, to exert their own dominance over cities, towns and villages. That such traces are expressions of both anticolonial hopes and postcolonial state power produces a sense of tension within them. For instance, Nasser’s postcolonial project in Egypt was a contradictory one; it gave life to anticolonial hopes – for instance by breaking away from European capitalism and embracing anticolonial geopolitics – while crushing many parts of the left through repression, censorship and imprisonment. Traces of Nasser found today inscribe both anticolonial promises – those that came to life and those that did not – while reproducing postcolonial power that in most instances ended in dictatorship. 
    Recent efforts to complete the route build on those of the post‑independence era – work on a section north of Nairobi started in 1968
    Credit: Associated Press / Alamy
    The Trans‑African Highway network was conceived in 1970 in the spirit of Pan‑Africanism

    At that time, the routes did not extend into South Africa, which was in the grip of apartheid. The Trans‑African Highway initiative was motivated by a desire to improve trade and centre cultural links across the continent – an ambition that was even celebrated on postage stamps

    There have been long‑standing debates about the erasure of the radical anticolonial spirit from the more conservative postcolonial states that emerged; the promises and hopes of anticolonialism, not least among them socialism and a world free of white supremacy, remain largely unrealised. Instead, by the 1970s neoliberalism emerged as a new hegemonic project. The contemporary instantiation of Cape to Cairo highlights just how pervasive neoliberal logics continue to be, despite multiple global financial crises and the 2011 Egyptian revolution demanding ‘bread, freedom, social justice’. 
    But the network of streets named after anticolonial figures and events across the world is testament to the immense power and promise of anticolonial revolution. Most of the 20th century was characterised by anticolonial struggle, decolonisation and postcolonial nation‑building, as nations across the global south gained independence from European empire and founded their own political projects. Anticolonial traces, present in street and place names, point to the possibility of solidarity as a means of reorienting colonial geographies. They are a reminder that there have been other imaginings of Cape to Cairo, and that things can be – and have been – otherwise.

    2025-06-13
    Kristina Rapacki

    Share
    #cape #cairo #making #unmaking #colonial
    Cape to Cairo: the making and unmaking of colonial road networks
    In 2024, Egypt completed its 1,155km stretch of the Cairo–Cape Town Highway, a 10,228km‑long road connecting 10 African countries – Egypt, Sudan, South Sudan, Ethiopia, Kenya, Tanzania, Zambia, Zimbabwe, Botswana and South Africa.   The imaginary of ‘Cape to Cairo’ is not new. In 1874, editor of the Daily Telegraph Edwin Arnold proposed a plan to connect the African continent by rail, a project that came to be known as the Cape to Cairo Railway project. Cecil Rhodes expressed his support for the project, seeing it as a means to connect the various ‘possessions’ of the British Empire across Africa, facilitating the movement of troops and natural resources. This railway project was never completed, and in 1970 was overlaid by a very different attempt at connecting the Cape to Cairo, as part of the Trans‑African Highway network. This 56,683km‑long system of highways – some dating from the colonial era, some built as part of the 1970s project, and some only recently built – aimed to create lines of connection across the African continent, from north to south as well as east to west.  Here, postcolonial state power invested in ‘moving the continent’s people and economies from past to future’, as architectural historians Kenny Cupers and Prita Meier write in their 2020 essay ‘Infrastructure between Statehood and Selfhood: The Trans‑African Highway’. The highways were to be built with the support of Kenya’s president Jomo Kenyatta, Ghana’s president Kwame Nkrumah and Ghana’s director of social welfare Robert Gardiner, as well as the United Nations Economic Commission for Africa. This project was part of a particular historical moment during which anticolonial ideas animated most of the African continent; alongside trade, this iteration of Cape to Cairo centred social and cultural connection between African peoples. But though largely socialist in ambition, the project nevertheless engaged modernist developmentalist logics that cemented capitalism.  Lead image: Over a century in the making, the final stretches of the Cairo–Cape Town Highway are being finished. Egypt completed the section within its borders last year and a section over the dry Merille River in Kenya was constructed in 2019. Credit: Allan Muturi / SOPA / ZUMA / Alamy. Above: The route from Cairo to Cape Town, outlined in red, belongs to the Trans‑African Highway network, which comprises nine routes, here in black The project failed to fully materialise at the time, but efforts to complete the Trans‑African Highway network have been revived in the last 20 years; large parts are now complete though some links remain unbuilt and many roads are unpaved or hazardous. The most recent attempts to realise this project coincide with a new continental free trade agreement, the agreement on African Continental Free Trade Area, established in 2019, to increase trade within the continent. The contemporary manifestation of the Cairo–Cape Town Highway – also known as Trans‑African Highway4 – is marked by deepening neoliberal politics. Represented as an opportunity to boost trade and exports, connecting Egypt to African markets that the Egyptian government view as ‘untapped’, the project invokes notions of trade steeped in extraction, reflecting the neoliberal logic underpinning contemporary Egyptian governance; today, the country’s political project, led by Abdel Fattah El Sisi, is oriented towards Egyptian dominance and extraction in relation to the rest of the continent.  Through an allusion to markets ripe for extraction, this language brings to the fore historical forms of domination that have shaped the connections between Egypt and the rest of the continent; previous iterations of connection across the continent often reproduced forms of domination stretching from the north of the African continent to the south, including the Trans‑Saharan slave trade routes across Africa that ended in various North African and Middle Eastern territories. These networks, beginning in the 8th century and lasting until the 20th, produced racialised hierarchies across the continent, shaping North Africa into a comparably privileged space proximate to ‘Arabness’. This was a racialised division based on a civilisational narrative that saw Arabs as superior, but more importantly a political economic division resulting from the slave trade routes that produced huge profits for North Africa and the Middle East. In the contemporary moment, these racialised hierarchies are bound up in political economic dependency on the Arab Gulf states, who are themselves dependent on resource extraction, land grabbing and privatisation across the entire African continent.  ‘The Cairo–Cape Town Highway connects Egypt to African markets viewed as “untapped”, invoking notions steeped in extraction’ However, this imaginary conjured by the Cairo–Cape Town Highway is countered by a network of streets scattered across Africa that traces the web of Egyptian Pan‑African solidarity across the continent. In Lusaka in Zambia, you might find yourself on Nasser Road, as you might in Mwanza in Tanzania or Luanda in Angola. In Mombasa in Kenya, you might be driving down Abdel Nasser Road; in Kampala in Uganda, you might find yourself at Nasser Road University; and in Tunis in Tunisia, you might end up on Gamal Abdel Nasser Street. These street names are a reference to Gamal Abdel Nasser, Egypt’s first postcolonial leader and president between 1956 and 1970.  Read against the contemporary Cairo–Cape Town Highway, these place names signal a different form of connection that brings to life Egyptian Pan‑Africanism, when solidarity was the hegemonic force connecting the continent, coming up against the notion of a natural or timeless ‘great divide’ within Africa. From the memoirs of Egyptian officials who were posted around Africa as conduits of solidarity, to the broadcasts of Radio Cairo that were heard across the continent, to the various conferences attended by anticolonial movements and postcolonial states, Egypt’s orientation towards Pan‑Africanism, beginning in the early 20th century and lasting until the 1970s, was both material and ideological. Figures and movements forged webs of solidarity with their African comrades, imagining an Africa that was united through shared commitments to ending colonialism and capitalist extraction.  The route between Cape Town in South Africa and Cairo in Egypt has long occupied the colonial imaginary. In 1930, Margaret Belcher and Ellen Budgell made the journey, sponsored by car brand Morris and oil company Shell Credit: Fox Photos / Getty The pair made use of the road built by British colonisers in the 19th century, and which forms the basis for the current Cairo–Cape Town Highway. The road was preceded by the 1874 Cape to Cairo Railway project, which connected the colonies of the British Empire Credit: Library of Congress, Geography and Map Division This network of eponymous streets represents attempts to inscribe anticolonial power into the materiality of the city. Street‑naming practices are one way in which the past comes into the present, ‘weaving history into the geographic fabric of everyday life’, as geographer Derek Alderman wrote in his 2002 essay ‘Street Names as Memorial Arenas’. In this vein, the renaming of streets during decolonisation marked a practice of contesting the production of colonial space. In the newly postcolonial city, renaming was a way of ‘claiming the city back’, Alderman continues. While these changes may appear discursive, it is their embedding in material spaces, through signs and maps, that make the names come to life; place names become a part of the everyday through sharing addresses or giving directions. This quality makes them powerful; consciously or unconsciously, they form part of how the spaces of the city are navigated.  These are traces that were once part of a dominant historical narrative; yet when they are encountered in the present, during a different historical moment, they no longer act as expressions of power but instead conjure up a moment that has long passed. A street in Lusaka named after an Egyptian general made more sense 60 years ago than it does today, yet contextualising it recovers a marginalised history of Egyptian Pan‑Africanism.  Markers such as street names or monuments are simultaneously markers of anticolonial struggle as well as expressions of state power – part of an attempt, by political projects such as Nasser’s, to exert their own dominance over cities, towns and villages. That such traces are expressions of both anticolonial hopes and postcolonial state power produces a sense of tension within them. For instance, Nasser’s postcolonial project in Egypt was a contradictory one; it gave life to anticolonial hopes – for instance by breaking away from European capitalism and embracing anticolonial geopolitics – while crushing many parts of the left through repression, censorship and imprisonment. Traces of Nasser found today inscribe both anticolonial promises – those that came to life and those that did not – while reproducing postcolonial power that in most instances ended in dictatorship.  Recent efforts to complete the route build on those of the post‑independence era – work on a section north of Nairobi started in 1968 Credit: Associated Press / Alamy The Trans‑African Highway network was conceived in 1970 in the spirit of Pan‑Africanism At that time, the routes did not extend into South Africa, which was in the grip of apartheid. The Trans‑African Highway initiative was motivated by a desire to improve trade and centre cultural links across the continent – an ambition that was even celebrated on postage stamps There have been long‑standing debates about the erasure of the radical anticolonial spirit from the more conservative postcolonial states that emerged; the promises and hopes of anticolonialism, not least among them socialism and a world free of white supremacy, remain largely unrealised. Instead, by the 1970s neoliberalism emerged as a new hegemonic project. The contemporary instantiation of Cape to Cairo highlights just how pervasive neoliberal logics continue to be, despite multiple global financial crises and the 2011 Egyptian revolution demanding ‘bread, freedom, social justice’.  But the network of streets named after anticolonial figures and events across the world is testament to the immense power and promise of anticolonial revolution. Most of the 20th century was characterised by anticolonial struggle, decolonisation and postcolonial nation‑building, as nations across the global south gained independence from European empire and founded their own political projects. Anticolonial traces, present in street and place names, point to the possibility of solidarity as a means of reorienting colonial geographies. They are a reminder that there have been other imaginings of Cape to Cairo, and that things can be – and have been – otherwise. 2025-06-13 Kristina Rapacki Share #cape #cairo #making #unmaking #colonial
    Cape to Cairo: the making and unmaking of colonial road networks
    www.architectural-review.com
    In 2024, Egypt completed its 1,155km stretch of the Cairo–Cape Town Highway, a 10,228km‑long road connecting 10 African countries – Egypt, Sudan, South Sudan, Ethiopia, Kenya, Tanzania, Zambia, Zimbabwe, Botswana and South Africa.   The imaginary of ‘Cape to Cairo’ is not new. In 1874, editor of the Daily Telegraph Edwin Arnold proposed a plan to connect the African continent by rail, a project that came to be known as the Cape to Cairo Railway project. Cecil Rhodes expressed his support for the project, seeing it as a means to connect the various ‘possessions’ of the British Empire across Africa, facilitating the movement of troops and natural resources. This railway project was never completed, and in 1970 was overlaid by a very different attempt at connecting the Cape to Cairo, as part of the Trans‑African Highway network. This 56,683km‑long system of highways – some dating from the colonial era, some built as part of the 1970s project, and some only recently built – aimed to create lines of connection across the African continent, from north to south as well as east to west.  Here, postcolonial state power invested in ‘moving the continent’s people and economies from past to future’, as architectural historians Kenny Cupers and Prita Meier write in their 2020 essay ‘Infrastructure between Statehood and Selfhood: The Trans‑African Highway’. The highways were to be built with the support of Kenya’s president Jomo Kenyatta, Ghana’s president Kwame Nkrumah and Ghana’s director of social welfare Robert Gardiner, as well as the United Nations Economic Commission for Africa (UNECA). This project was part of a particular historical moment during which anticolonial ideas animated most of the African continent; alongside trade, this iteration of Cape to Cairo centred social and cultural connection between African peoples. But though largely socialist in ambition, the project nevertheless engaged modernist developmentalist logics that cemented capitalism.  Lead image: Over a century in the making, the final stretches of the Cairo–Cape Town Highway are being finished. Egypt completed the section within its borders last year and a section over the dry Merille River in Kenya was constructed in 2019. Credit: Allan Muturi / SOPA / ZUMA / Alamy. Above: The route from Cairo to Cape Town, outlined in red, belongs to the Trans‑African Highway network, which comprises nine routes, here in black The project failed to fully materialise at the time, but efforts to complete the Trans‑African Highway network have been revived in the last 20 years; large parts are now complete though some links remain unbuilt and many roads are unpaved or hazardous. The most recent attempts to realise this project coincide with a new continental free trade agreement, the agreement on African Continental Free Trade Area (AfCFTA), established in 2019, to increase trade within the continent. The contemporary manifestation of the Cairo–Cape Town Highway – also known as Trans‑African Highway (TAH) 4 – is marked by deepening neoliberal politics. Represented as an opportunity to boost trade and exports, connecting Egypt to African markets that the Egyptian government view as ‘untapped’, the project invokes notions of trade steeped in extraction, reflecting the neoliberal logic underpinning contemporary Egyptian governance; today, the country’s political project, led by Abdel Fattah El Sisi, is oriented towards Egyptian dominance and extraction in relation to the rest of the continent.  Through an allusion to markets ripe for extraction, this language brings to the fore historical forms of domination that have shaped the connections between Egypt and the rest of the continent; previous iterations of connection across the continent often reproduced forms of domination stretching from the north of the African continent to the south, including the Trans‑Saharan slave trade routes across Africa that ended in various North African and Middle Eastern territories. These networks, beginning in the 8th century and lasting until the 20th, produced racialised hierarchies across the continent, shaping North Africa into a comparably privileged space proximate to ‘Arabness’. This was a racialised division based on a civilisational narrative that saw Arabs as superior, but more importantly a political economic division resulting from the slave trade routes that produced huge profits for North Africa and the Middle East. In the contemporary moment, these racialised hierarchies are bound up in political economic dependency on the Arab Gulf states, who are themselves dependent on resource extraction, land grabbing and privatisation across the entire African continent.  ‘The Cairo–Cape Town Highway connects Egypt to African markets viewed as “untapped”, invoking notions steeped in extraction’ However, this imaginary conjured by the Cairo–Cape Town Highway is countered by a network of streets scattered across Africa that traces the web of Egyptian Pan‑African solidarity across the continent. In Lusaka in Zambia, you might find yourself on Nasser Road, as you might in Mwanza in Tanzania or Luanda in Angola. In Mombasa in Kenya, you might be driving down Abdel Nasser Road; in Kampala in Uganda, you might find yourself at Nasser Road University; and in Tunis in Tunisia, you might end up on Gamal Abdel Nasser Street. These street names are a reference to Gamal Abdel Nasser, Egypt’s first postcolonial leader and president between 1956 and 1970.  Read against the contemporary Cairo–Cape Town Highway, these place names signal a different form of connection that brings to life Egyptian Pan‑Africanism, when solidarity was the hegemonic force connecting the continent, coming up against the notion of a natural or timeless ‘great divide’ within Africa. From the memoirs of Egyptian officials who were posted around Africa as conduits of solidarity, to the broadcasts of Radio Cairo that were heard across the continent, to the various conferences attended by anticolonial movements and postcolonial states, Egypt’s orientation towards Pan‑Africanism, beginning in the early 20th century and lasting until the 1970s, was both material and ideological. Figures and movements forged webs of solidarity with their African comrades, imagining an Africa that was united through shared commitments to ending colonialism and capitalist extraction.  The route between Cape Town in South Africa and Cairo in Egypt has long occupied the colonial imaginary. In 1930, Margaret Belcher and Ellen Budgell made the journey, sponsored by car brand Morris and oil company Shell Credit: Fox Photos / Getty The pair made use of the road built by British colonisers in the 19th century, and which forms the basis for the current Cairo–Cape Town Highway. The road was preceded by the 1874 Cape to Cairo Railway project, which connected the colonies of the British Empire Credit: Library of Congress, Geography and Map Division This network of eponymous streets represents attempts to inscribe anticolonial power into the materiality of the city. Street‑naming practices are one way in which the past comes into the present, ‘weaving history into the geographic fabric of everyday life’, as geographer Derek Alderman wrote in his 2002 essay ‘Street Names as Memorial Arenas’. In this vein, the renaming of streets during decolonisation marked a practice of contesting the production of colonial space. In the newly postcolonial city, renaming was a way of ‘claiming the city back’, Alderman continues. While these changes may appear discursive, it is their embedding in material spaces, through signs and maps, that make the names come to life; place names become a part of the everyday through sharing addresses or giving directions. This quality makes them powerful; consciously or unconsciously, they form part of how the spaces of the city are navigated.  These are traces that were once part of a dominant historical narrative; yet when they are encountered in the present, during a different historical moment, they no longer act as expressions of power but instead conjure up a moment that has long passed. A street in Lusaka named after an Egyptian general made more sense 60 years ago than it does today, yet contextualising it recovers a marginalised history of Egyptian Pan‑Africanism.  Markers such as street names or monuments are simultaneously markers of anticolonial struggle as well as expressions of state power – part of an attempt, by political projects such as Nasser’s, to exert their own dominance over cities, towns and villages. That such traces are expressions of both anticolonial hopes and postcolonial state power produces a sense of tension within them. For instance, Nasser’s postcolonial project in Egypt was a contradictory one; it gave life to anticolonial hopes – for instance by breaking away from European capitalism and embracing anticolonial geopolitics – while crushing many parts of the left through repression, censorship and imprisonment. Traces of Nasser found today inscribe both anticolonial promises – those that came to life and those that did not – while reproducing postcolonial power that in most instances ended in dictatorship.  Recent efforts to complete the route build on those of the post‑independence era – work on a section north of Nairobi started in 1968 Credit: Associated Press / Alamy The Trans‑African Highway network was conceived in 1970 in the spirit of Pan‑Africanism At that time, the routes did not extend into South Africa, which was in the grip of apartheid. The Trans‑African Highway initiative was motivated by a desire to improve trade and centre cultural links across the continent – an ambition that was even celebrated on postage stamps There have been long‑standing debates about the erasure of the radical anticolonial spirit from the more conservative postcolonial states that emerged; the promises and hopes of anticolonialism, not least among them socialism and a world free of white supremacy, remain largely unrealised. Instead, by the 1970s neoliberalism emerged as a new hegemonic project. The contemporary instantiation of Cape to Cairo highlights just how pervasive neoliberal logics continue to be, despite multiple global financial crises and the 2011 Egyptian revolution demanding ‘bread, freedom, social justice’.  But the network of streets named after anticolonial figures and events across the world is testament to the immense power and promise of anticolonial revolution. Most of the 20th century was characterised by anticolonial struggle, decolonisation and postcolonial nation‑building, as nations across the global south gained independence from European empire and founded their own political projects. Anticolonial traces, present in street and place names, point to the possibility of solidarity as a means of reorienting colonial geographies. They are a reminder that there have been other imaginings of Cape to Cairo, and that things can be – and have been – otherwise. 2025-06-13 Kristina Rapacki Share
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  • Rethinking AI: DeepSeek’s playbook shakes up the high-spend, high-compute paradigm

    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more

    When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development.
    What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute. 
    As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention.
    Engineering around constraints
    DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement.
    While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well.
    This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just million — less than 1.2% of OpenAI’s investment.
    If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate. Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development.
    That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently.
    This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing.
    Pragmatism over process
    Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process.
    The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of expertsarchitectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content.
    This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations. 
    Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance.
    Market reverberations
    Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders.
    Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI. 
    With OpenAI reportedly spending to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending billion or billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change.
    This economic reality prompted OpenAI to pursue a massive billion funding round that valued the company at an unprecedented billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s.
    Beyond model training
    Another significant trend accelerated by DeepSeek is the shift toward “test-time compute”. As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training.
    To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning”. This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards.
    The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM”. But, as with its model distillation approach, this could be considered a mix of promise and risk.
    For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted.
    At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of othersto create what is likely the first full-stack application of SPCT in a commercial effort.
    This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails.
    Moving into the future
    So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity. 
    Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market.
    Meta has also responded,
    With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail.
    Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching.
    Jae Lee is CEO and co-founder of TwelveLabs.

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    #rethinking #deepseeks #playbook #shakes #highspend
    Rethinking AI: DeepSeek’s playbook shakes up the high-spend, high-compute paradigm
    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development. What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute.  As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention. Engineering around constraints DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement. While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well. This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just million — less than 1.2% of OpenAI’s investment. If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate. Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development. That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently. This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing. Pragmatism over process Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process. The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of expertsarchitectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content. This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations.  Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance. Market reverberations Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders. Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI.  With OpenAI reportedly spending to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending billion or billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change. This economic reality prompted OpenAI to pursue a massive billion funding round that valued the company at an unprecedented billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s. Beyond model training Another significant trend accelerated by DeepSeek is the shift toward “test-time compute”. As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training. To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning”. This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards. The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM”. But, as with its model distillation approach, this could be considered a mix of promise and risk. For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted. At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of othersto create what is likely the first full-stack application of SPCT in a commercial effort. This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails. Moving into the future So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity.  Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market. Meta has also responded, With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail. Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching. Jae Lee is CEO and co-founder of TwelveLabs. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured. #rethinking #deepseeks #playbook #shakes #highspend
    Rethinking AI: DeepSeek’s playbook shakes up the high-spend, high-compute paradigm
    venturebeat.com
    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development. What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute.  As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention. Engineering around constraints DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement. While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well. This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere $6 million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent $500 million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just $5.6 million — less than 1.2% of OpenAI’s investment. If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate (even though it makes a good story). Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development. That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently. This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing. Pragmatism over process Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process. The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of experts (MoE) architectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content. This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations.  Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance. Market reverberations Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders. Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI.  With OpenAI reportedly spending $7 to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending $7 billion or $8 billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change. This economic reality prompted OpenAI to pursue a massive $40 billion funding round that valued the company at an unprecedented $300 billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s. Beyond model training Another significant trend accelerated by DeepSeek is the shift toward “test-time compute” (TTC). As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training. To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning” (SPCT). This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards. The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM” (generalist reward modeling). But, as with its model distillation approach, this could be considered a mix of promise and risk. For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted. At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of others (think OpenAI’s “critique and revise” methods, Anthropic’s constitutional AI or research on self-rewarding agents) to create what is likely the first full-stack application of SPCT in a commercial effort. This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails. Moving into the future So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity.  Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately $80 billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market. Meta has also responded, With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail. Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching. Jae Lee is CEO and co-founder of TwelveLabs. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.
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