Which creative studio do you most admire right now, and why? This is a question we asked our community via an ongoing survey. With more than 700 responses so far, these are the top winners. What's striking about this year's results is the popularity of studios that aren't just producing beautiful work but are also actively shaping discussions and tackling the big challenges facing our industry and society. From the vibrant energy of Brazilian culture to the thoughtful minimalism of North European aesthetics, this list reflects a global creative landscape that's more connected, more conscious, and more collaborative than ever before. In short, these studios aren't just following trends; they're setting them. Read on to discover the 25 studios our community is most excited about right now. 1. Porto Rocha Porto Rocha is a New York-based agency that unites strategy and design to create work that evolves with the world we live in. It continues to dominate conversations in 2025, and it's easy to see why. Founders Felipe Rocha and Leo Porto have built something truly special—a studio that not only creates visually stunning work but also actively celebrates and amplifies diverse voices in design. For instance, their recent bold new identity for the São Paulo art museum MASP nods to Brazilian modernist design traditions while reimagining them for a contemporary audience. The rebrand draws heavily on the museum's iconic modernist architecture by Lina Bo Bardi, using a red-and-black colour palette and strong typography to reflect the building's striking visual presence. As we write this article, Porto Rocha just shared a new partnership with Google to reimagine the visual and verbal identity of its revolutionary Gemini AI model. We can't wait to see what they come up with! 2. DixonBaxi Simon Dixon and Aporva Baxi's London powerhouse specialises in creating brand strategies and design systems for "brave businesses" that want to challenge convention, including Hulu, Audible, and the Premier League. The studio had an exceptional start to 2025 by collaborating with Roblox on a brand new design system. At the heart of this major project is the Tilt: a 15-degree shift embedded in the logo that signals momentum, creativity, and anticipation. They've also continued to build their reputation as design thought leaders. At the OFFF Festival 2025, for instance, Simon and Aporva delivered a masterclass on running a successful brand design agency. Their core message centred on the importance of people and designing with intention, even in the face of global challenges. They also highlighted "Super Futures," their program that encourages employees to think freely and positively about brand challenges and audience desires, aiming to reclaim creative liberation. And if that wasn't enough, DixonBaxi has just launched its brand new website, one that's designed to be open in nature. As Simon explains: "It's not a shop window. It's a space to share the thinking and ethos that drive us. You'll find our work, but more importantly, what shapes it. No guff. Just us." 3. Mother Mother is a renowned independent creative agency founded in London and now boasts offices in New York and Los Angeles as well. They've spent 2025 continuing to push the boundaries of what advertising can achieve. And they've made an especially big splash with their latest instalment of KFC's 'Believe' campaign, featuring a surreal and humorous take on KFC's gravy. As we wrote at the time: "Its balance between theatrical grandeur and self-awareness makes the campaign uniquely engaging." 4. Studio Dumbar/DEPT® Based in Rotterdam, Studio Dumbar/DEPT® is widely recognised for its influential work in visual branding and identity, often incorporating creative coding and sound, for clients such as the Dutch Railways, Instagram, and the Van Gogh Museum. In 2025, we've especially admired their work for the Dutch football club Feyenoord, which brings the team under a single, cohesive vision that reflects its energy and prowess. This groundbreaking rebrand, unveiled at the start of May, moves away from nostalgia, instead emphasising the club's "measured ferocity, confidence, and ambition". 5. HONDO Based between Palma de Mallorca, Spain and London, HONDO specialises in branding, editorial, typography and product design. We're particular fans of their rebranding of metal furniture makers Castil, based around clean and versatile designs that highlight Castil's vibrant and customisable products. This new system features a bespoke monospaced typeface and logo design that evokes Castil's adaptability and the precision of its craftsmanship. 6. Smith & Diction Smith & Diction is a small but mighty design and copy studio founded by Mike and Chara Smith in Philadelphia. Born from dreams, late-night chats, and plenty of mistakes, the studio has grown into a creative force known for thoughtful, boundary-pushing branding. Starting out with Mike designing in a tiny apartment while Chara held down a day job, the pair learned the ropes the hard way—and now they're thriving. Recent highlights include their work with Gamma, an AI platform that lets you quickly get ideas out of your head and into a presentation deck or onto a website. Gamma wanted their brand update to feel "VERY fun and a little bit out there" with an AI-first approach. So Smith & Diction worked hard to "put weird to the test" while still developing responsible systems for logo, type and colour. The results, as ever, were exceptional. 7. DNCO DNCO is a London and New York-based creative studio specialising in place branding. They are best known for shaping identities, digital tools, and wayfinding for museums, cultural institutions, and entire neighbourhoods, with clients including the Design Museum, V&A and Transport for London. Recently, DNCO has been making headlines again with its ambitious brand refresh for Dumbo, a New York neighbourhood struggling with misperceptions due to mass tourism. The goal was to highlight Dumbo's unconventional spirit and demonstrate it as "a different side of New York." DNCO preserved the original diagonal logo and introduced a flexible "tape graphic" system, inspired by the neighbourhood's history of inventing the cardboard box, to reflect its ingenuity and reveal new perspectives. The colour palette and typography were chosen to embody Dumbo's industrial and gritty character. 8. Hey Studio Founded by Verònica Fuerte in Barcelona, Spain, Hey Studio is a small, all-female design agency celebrated for its striking use of geometry, bold colour, and playful yet refined visual language. With a focus on branding, illustration, editorial design, and typography, they combine joy with craft to explore issues with heart and purpose. A great example of their impact is their recent branding for Rainbow Wool. This German initiative is transforming wool from gay rams into fashion products to support the LGBT community. As is typical for Hey Studio, the project's identity is vibrant and joyful, utilising bright, curved shapes that will put a smile on everyone's face. 9. Koto Koto is a London-based global branding and digital studio known for co-creation, strategic thinking, expressive design systems, and enduring partnerships. They're well-known in the industry for bringing warmth, optimism and clarity to complex brand challenges. Over the past 18 months, they've undertaken a significant project to refresh Amazon's global brand identity. This extensive undertaking has involved redesigning Amazon's master brand and over 50 of its sub-brands across 15 global markets. Koto's approach, described as "radical coherence", aims to refine and modernize Amazon's most recognizable elements rather than drastically changing them. You can read more about the project here. 10. Robot Food Robot Food is a Leeds-based, brand-first creative studio recognised for its strategic and holistic approach. They're past masters at melding creative ideas with commercial rigour across packaging, brand strategy and campaign design. Recent Robot Food projects have included a bold rebrand for Hip Pop, a soft drinks company specializing in kombucha and alternative sodas. Their goal was to elevate Hip Pop from an indie challenger to a mainstream category leader, moving away from typical health drink aesthetics. The results are visually striking, with black backgrounds prominently featured (a rarity in the health drink aisle), punctuated by vibrant fruit illustrations and flavour-coded colours. Read more about the project here. 11. Saffron Brand Consultants Saffron is an independent global consultancy with offices in London, Madrid, Vienna and Istanbul. With deep expertise in naming, strategy, identity, and design systems, they work with leading public and private-sector clients to develop confident, culturally intelligent brands. One 2025 highlight so far has been their work for Saudi National Bank (SNB) to create NEO, a groundbreaking digital lifestyle bank in Saudi Arabia. Saffron integrated cultural and design trends, including Saudi neo-futurism, for its sonic identity to create a product that supports both individual and community connections. The design system strikes a balance between modern Saudi aesthetics and the practical demands of a fast-paced digital product, ensuring a consistent brand reflection across all interactions. 12. Alright Studio Alright Studio is a full-service strategy, creative, production and technology agency based in Brooklyn, New York. It prides itself on a "no house style" approach for clients, including A24, Meta Platforms, and Post Malone. One of the most exciting of their recent projects has been Offball, a digital-first sports news platform that aims to provide more nuanced, positive sports storytelling. Alright Studio designed a clean, intuitive, editorial-style platform featuring a masthead-like logotype and universal sports iconography, creating a calmer user experience aligned with OffBall's positive content. 13. Wolff Olins Wolff Olins is a global brand consultancy with four main offices: London, New York, San Francisco, and Los Angeles. Known for their courageous, culturally relevant branding and forward-thinking strategy, they collaborate with large corporations and trailblazing organisations to create bold, authentic brand identities that resonate emotionally. A particular highlight of 2025 so far has been their collaboration with Leo Burnett to refresh Sandals Resorts' global brand with the "Made of Caribbean" campaign. This strategic move positions Sandals not merely as a luxury resort but as a cultural ambassador for the Caribbean. Wolff Olins developed a new visual identity called "Natural Vibrancy," integrating local influences with modern design to reflect a genuine connection to the islands' culture. This rebrand speaks to a growing traveller demand for authenticity and meaningful experiences, allowing Sandals to define itself as an extension of the Caribbean itself. 14. COLLINS Founded by Brian Collins, COLLINS is an independent branding and design consultancy based in the US, celebrated for its playful visual language, expressive storytelling and culturally rich identity systems. In the last few months, we've loved the new branding they designed for Barcelona's 25th Offf Festival, which departs from its usual consistent wordmark. The updated identity is inspired by the festival's role within the international creative community, and is rooted in the concept of 'Centre Offf Gravity'. This concept is visually expressed through the festival's name, which appears to exert a gravitational pull on the text boxes, causing them to "stick" to it. Additionally, the 'f's in the wordmark are merged into a continuous line reminiscent of a magnet, with the motion graphics further emphasising the gravitational pull as the name floats and other elements follow. 15. Studio Spass Studio Spass is a creative studio based in Rotterdam, the Netherlands, focused on vibrant and dynamic identity systems that reflect the diverse and multifaceted nature of cultural institutions. One of their recent landmark projects was Bigger, a large-scale typographic installation created for the Shenzhen Art Book Fair. Inspired by tear-off calendars and the physical act of reading, Studio Spass used 264 A4 books, with each page displaying abstract details, to create an evolving grid of colour and type. Visitors were invited to interact with the installation by flipping pages, constantly revealing new layers of design and a hidden message: "Enjoy books!" 16. Applied Design Works Applied Design Works is a New York studio that specialises in reshaping businesses through branding and design. They provide expertise in design, strategy, and implementation, with a focus on building long-term, collaborative relationships with their clients. We were thrilled by their recent work for Grand Central Madison (the station that connects Long Island to Grand Central Terminal), where they were instrumental in ushering in a new era for the transportation hub. Applied Design sought to create a commuter experience that imbued the spirit of New York, showcasing its diversity of thought, voice, and scale that befits one of the greatest cities in the world and one of the greatest structures in it. 17. The Chase The Chase Creative Consultants is a Manchester-based independent creative consultancy with over 35 years of experience, known for blending humour, purpose, and strong branding to rejuvenate popular consumer campaigns. "We're not designers, writers, advertisers or brand strategists," they say, "but all of these and more. An ideas-based creative studio." Recently, they were tasked with shaping the identity of York Central, a major urban regeneration project set to become a new city quarter for York. The Chase developed the identity based on extensive public engagement, listening to residents of all ages about their perceptions of the city and their hopes for the new area. The resulting brand identity uses linear forms that subtly reference York's famous railway hub, symbolising the long-standing connections the city has fostered. 18. A Practice for Everyday Life Based in London and founded by Kirsty Carter and Emma Thomas, A Practice for Everyday Life built a reputation as a sought-after collaborator with like-minded companies, galleries, institutions and individuals. Not to mention a conceptual rigour that ensures each design is meaningful and original. Recently, they've been working on the visual identity for Muzej Lah, a new international museum for contemporary art in Bled, Slovenia opening in 2026. This centres around a custom typeface inspired by the slanted geometry and square detailing of its concrete roof tiles. It also draws from European modernist typography and the experimental lettering of Jože Plečnik, one of Slovenia's most influential architects.⁠ A Practice for Everyday Life. Photo: Carol Sachs Alexey Brodovitch: Astonish Me publication design by A Practice for Everyday Life, 2024. Photo: Ed Park La Biennale di Venezia identity by A Practice for Everyday Life, 2022. Photo: Thomas Adank CAM – Centro de Arte Moderna Gulbenkian identity by A Practice for Everyday Life, 2024. Photo: Sanda Vučković 19. Studio Nari Studio Nari is a London-based creative and branding agency partnering with clients around the world to build "brands that truly connect with people". NARI stands, by the way, for Not Always Right Ideas. As they put it, "It's a name that might sound odd for a branding agency, but it reflects everything we believe." One landmark project this year has been a comprehensive rebrand for the electronic music festival Field Day. Studio Nari created a dynamic and evolving identity that reflects the festival's growth and its connection to the electronic music scene and community. The core idea behind the rebrand is a "reactive future", allowing the brand to adapt and grow with the festival and current trends while maintaining a strong foundation. A new, steadfast wordmark is at its centre, while a new marque has been introduced for the first time. 20. Beetroot Design Group Beetroot is a 25‑strong creative studio celebrated for its bold identities and storytelling-led approach. Based in Thessaloniki, Greece, their work spans visual identity, print, digital and motion, and has earned international recognition, including Red Dot Awards. Recently, they also won a Wood Pencil at the D&AD Awards 2025 for a series of posters created to promote live jazz music events. The creative idea behind all three designs stems from improvisation as a key feature of jazz. Each poster communicates the artist's name and other relevant information through a typographical "improvisation". 21. Kind Studio Kind Studio is an independent creative agency based in London that specialises in branding and digital design, as well as offering services in animation, creative and art direction, and print design. Their goal is to collaborate closely with clients to create impactful and visually appealing designs. One recent project that piqued our interest was a bilingual, editorially-driven digital platform for FC Como Women, a professional Italian football club. To reflect the club's ambition of promoting gender equality and driving positive social change within football, the new website employs bold typography, strong imagery, and an empowering tone of voice to inspire and disseminate its message. 22. Slug Global Slug Global is a creative agency and art collective founded by artist and musician Bosco (Brittany Bosco). Focused on creating immersive experiences "for both IRL and URL", their goal is to work with artists and brands to establish a sustainable media platform that embodies the values of young millennials, Gen Z and Gen Alpha. One of Slug Global's recent projects involved a collaboration with SheaMoisture and xoNecole for a three-part series called The Root of It. This series celebrates black beauty and hair, highlighting its significance as a connection to ancestry, tradition, blueprint and culture for black women. 23. Little Troop New York studio Little Troop crafts expressive and intimate branding for lifestyle, fashion, and cultural clients. Led by creative directors Noemie Le Coz and Jeremy Elliot, they're known for their playful and often "kid-like" approach to design, drawing inspiration from their own experiences as 90s kids. One of their recent and highly acclaimed projects is the visual identity for MoMA's first-ever family festival, Another World. Little Troop was tasked with developing a comprehensive visual identity that would extend from small items, such as café placemats, to large billboards. Their designs were deliberately a little "dream-like" and relied purely on illustration to sell the festival without needing photography. Little Troop also carefully selected seven colours from MoMA's existing brand guidelines to strike a balance between timelessness, gender neutrality, and fun. 24. Morcos Key Morcos Key is a Brooklyn-based design studio co-founded by Jon Key and Wael Morcos. Collaborating with a diverse range of clients, including arts and cultural institutions, non-profits and commercial enterprises, they're known for translating clients' stories into impactful visual systems through thoughtful conversation and formal expression. One notable project is their visual identity work for Hammer & Hope, a magazine that focuses on politics and culture within the black radical tradition. For this project, Morcos Key developed not only the visual identity but also a custom all-caps typeface to reflect the publication's mission and content. 25. Thirst Thirst, also known as Thirst Craft, is an award-winning strategic drinks packaging design agency based in Glasgow, Scotland, with additional hubs in London and New York. Founded in 2015 by Matthew Stephen Burns and Christopher John Black, the company specializes in building creatively distinctive and commercially effective brands for the beverage industry. To see what they're capable of, check out their work for SKYY Vodka. The new global visual identity system, called Audacious Glamour', aims to unify SKYY under a singular, powerful idea. The visual identity benefits from bolder framing, patterns, and a flavour-forward colour palette to highlight each product's "juicy attitude", while the photography style employs macro shots and liquid highlights to convey a premium feel.

A coiled giant anaconda. They are the largest snake species in Brazil and play a major role in legends including the ‘Boiuna’ and the ‘Cobra Grande.’ CREDIT: Beatriz Cosendey. Get the Popular Science daily newsletter💡 Breakthroughs, discoveries, and DIY tips sent every weekday. South America’s lush Amazon region is a biodiversity hotspot, which means that every living thing must find a way to co-exist. Even some of the most feared snakes on the planet–anacondas. In a paper published June 16 in the journal Frontiers in Amphibian and Reptile Science, conservation biologists Beatriz Cosendey and Juarez Carlos Brito Pezzuti from the Federal University of Pará’s Center for Amazonian Studies in Brazil, analyze the key points behind the interactions between humans and the local anaconda populations. Ahead of the paper’s publication, the team at Frontiers conducted this wide-ranging Q&A with Conesday. It has not been altered. Frontiers: What inspired you to become a researcher? Beatriz Cosendey: As a child, I was fascinated by reports and documentaries about field research and often wondered what it took to be there and what kind of knowledge was being produced. Later, as an ecologist, I felt the need for approaches that better connected scientific research with real-world contexts. I became especially interested in perspectives that viewed humans not as separate from nature, but as part of ecological systems. This led me to explore integrative methods that incorporate local and traditional knowledge, aiming to make research more relevant and accessible to the communities involved. F: Can you tell us about the research you’re currently working on? BC: My research focuses on ethnobiology, an interdisciplinary field intersecting ecology, conservation, and traditional knowledge. We investigate not only the biodiversity of an area but also the relationship local communities have with surrounding species, providing a better understanding of local dynamics and areas needing special attention for conservation. After all, no one knows a place better than those who have lived there for generations. This deep familiarity allows for early detection of changes or environmental shifts. Additionally, developing a collaborative project with residents generates greater engagement, as they recognize themselves as active contributors; and collective participation is essential for effective conservation. Local boating the Amazon River. CREDIT: Beatriz Cosendey. F: Could you tell us about one of the legends surrounding anacondas? BC: One of the greatest myths is about the Great Snake—a huge snake that is said to inhabit the Amazon River and sleep beneath the town. According to the dwellers, the Great Snake is an anaconda that has grown too large; its movements can shake the river’s waters, and its eyes look like fire in the darkness of night. People say anacondas can grow so big that they can swallow large animals—including humans or cattle—without difficulty. F: What could be the reasons why the traditional role of anacondas as a spiritual and mythological entity has changed? Do you think the fact that fewer anacondas have been seen in recent years contributes to their diminished importance as an mythological entity? BC: Not exactly. I believe the two are related, but not in a direct way. The mythology still exists, but among Aritapera dwellers, there’s a more practical, everyday concern—mainly the fear of losing their chickens. As a result, anacondas have come to be seen as stealthy thieves. These traits are mostly associated with smaller individuals (up to around 2–2.5 meters), while the larger ones—which may still carry the symbolic weight of the ‘Great Snake’—tend to retreat to more sheltered areas; because of the presence of houses, motorized boats, and general noise, they are now seen much less frequently. A giant anaconda is being measured. Credit: Pedro Calazans. F: Can you share some of the quotes you’ve collected in interviews that show the attitude of community members towards anacondas? How do chickens come into play? BC: When talking about anacondas, one thing always comes up: chickens. “Chicken is her [the anaconda’s] favorite dish. If one clucks, she comes,” said one dweller. This kind of remark helps explain why the conflict is often framed in economic terms. During the interviews and conversations with local dwellers, many emphasized the financial impact of losing their animals: “The biggest loss is that they keep taking chicks and chickens…” or “You raise the chicken—you can’t just let it be eaten for free, right?” For them, it’s a loss of investment, especially since corn, which is used as chicken feed, is expensive. As one person put it: “We spend time feeding and raising the birds, and then the snake comes and takes them.” One dweller shared that, in an attempt to prevent another loss, he killed the anaconda and removed the last chicken it had swallowed from its belly—”it was still fresh,” he said—and used it for his meal, cooking the chicken for lunch so it wouldn’t go to waste. One of the Amazonas communities where the researchers conducted their research. CREDIT: Beatriz Cosendey. Some interviewees reported that they had to rebuild their chicken coops and pigsties because too many anacondas were getting in. Participants would point out where the anaconda had entered and explained that they came in through gaps or cracks but couldn’t get out afterwards because they ‘tufavam’ — a local term referring to the snake’s body swelling after ingesting prey. We saw chicken coops made with mesh, with nylon, some that worked and some that didn’t. Guided by the locals’ insights, we concluded that the best solution to compensate for the gaps between the wooden slats is to line the coop with a fine nylon mesh (to block smaller animals), and on the outside, a layer of wire mesh, which protects the inner mesh and prevents the entry of larger animals. F: Are there any common misconceptions about this area of research? How would you address them? BC: Yes, very much. Although ethnobiology is an old science, it’s still underexplored and often misunderstood. In some fields, there are ongoing debates about the robustness and scientific validity of the field and related areas. This is largely because the findings don’t always rely only on hard statistical data. However, like any other scientific field, it follows standardized methodologies, and no result is accepted without proper grounding. What happens is that ethnobiology leans more toward the human sciences, placing human beings and traditional knowledge as key variables within its framework. To address these misconceptions, I believe it’s important to emphasize that ethnobiology produces solid and relevant knowledge—especially in the context of conservation and sustainable development. It offers insights that purely biological approaches might overlook and helps build bridges between science and society. The study focused on the várzea regions of the Lower Amazon River. CREDIT: Beatriz Cosendey. F: What are some of the areas of research you’d like to see tackled in the years ahead? BC: I’d like to see more conservation projects that include local communities as active participants rather than as passive observers. Incorporating their voices, perspectives, and needs not only makes initiatives more effective, but also more just. There is also great potential in recognizing and valuing traditional knowledge. Beyond its cultural significance, certain practices—such as the use of natural compounds—could become practical assets for other vulnerable regions. Once properly documented and understood, many of these approaches offer adaptable forms of environmental management and could help inform broader conservation strategies elsewhere. F: How has open science benefited the reach and impact of your research? BC: Open science is crucial for making research more accessible. By eliminating access barriers, it facilitates a broader exchange of knowledge—important especially for interdisciplinary research like mine which draws on multiple knowledge systems and gains value when shared widely. For scientific work, it ensures that knowledge reaches a wider audience, including practitioners and policymakers. This openness fosters dialogue across different sectors, making research more inclusive and encouraging greater collaboration among diverse groups. The Q&A can also be read here.

show some love for the losers Delightfully irreverent Underdogs isn’t your parents’ nature docuseries Ryan Reynolds narrates NatGeo's new series highlighting nature's much less cool and majestic creatures Jennifer Ouellette – Jun 15, 2025 3:11 pm | 5 The indestructible honey badger is just one of nature's "benchwarmers" featured in Underdogs Credit: National Geographic/Doug Parker The indestructible honey badger is just one of nature's "benchwarmers" featured in Underdogs Credit: National Geographic/Doug Parker Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only   Learn more Narrator Ryan Reynolds celebrates nature's outcasts in the new NatGeo docuseries Underdogs. Most of us have seen a nature documentary or two (or three) at some point in our lives, so it's a familiar format: sweeping majestic footage of impressively regal animals accompanied by reverently high-toned narration (preferably with a tony British accent). Underdogs, a new docuseries from National Geographic, takes a decidedly different and unconventional approach. Narrated by with hilarious irreverence by Ryan Reynolds, the five-part series highlights nature's less cool and majestic creatures: the outcasts and benchwarmers, more noteworthy for their "unconventional hygiene choices" and "unsavory courtship rituals." It's like The Suicide Squad or Thunderbolts*, except these creatures actually exist. Per the official premise, "Underdogs features a range of never-before-filmed scenes, including the first time a film crew has ever entered a special cave in New Zealand—a huge cavern that glows brighter than a bachelor pad under a black light thanks to the glowing butts of millions of mucus-coated grubs. All over the world, overlooked superstars like this are out there 24/7, giving it maximum effort and keeping the natural world in working order for all those showboating polar bears, sharks and gorillas." It's rated PG-13 thanks to the odd bit of scatalogical humor and shots of Nature Sexy Time Each of the five episodes is built around a specific genre. "Superheroes" highlights the surprising superpowers of the honey badger, pistol shrimp, and the invisible glass frog, among others, augmented with comic book graphics; "Sexy Beasts" focuses on bizarre mating habits and follows the format of a romantic advice column; "Terrible Parents" highlights nature's worst practices, following the outline of a parenting guide; "Total Grossout" is exactly what it sounds like; and "The Unusual Suspects" is a heist tale, documenting the supposed efforts of a macaque to put together the ultimate team of masters of deception and disguise (an inside man, a decoy, a fall guy, etc.).  Green Day even wrote and recorded a special theme song for the opening credits. Co-creators Mark Linfield and Vanessa Berlowitz of Wildstar Films are longtime producers of award-winning wildlife films, most notably Frozen Planet, Planet Earth and David Attenborough's Life of Mammals—you know, the kind of prestige nature documentaries that have become a mainstay for National Geographic and the BBC, among others. They're justly proud of that work, but this time around the duo wanted to try something different. Madagascar's aye-aye: "as if fear and panic had a baby and rolled it in dog hair" National Geographic/Eleanor Paish Madagascar's aye-aye: "as if fear and panic had a baby and rolled it in dog hair" National Geographic/Eleanor Paish An emerald jewel wasp emerges from a cockroach. National Geographic/Simon De Glanville An emerald jewel wasp emerges from a cockroach. National Geographic/Simon De Glanville A pack of African hunting dogs is no match for the honey badger's thick hide. National Geographic/Tom Walker A pack of African hunting dogs is no match for the honey badger's thick hide. National Geographic/Tom Walker An emerald jewel wasp emerges from a cockroach. National Geographic/Simon De Glanville A pack of African hunting dogs is no match for the honey badger's thick hide. National Geographic/Tom Walker A fireworm is hit by a cavitation bubble shot from the claw of a pistol shrimp defending its home. National Geographic/Hugh Miller As it grows and molts, the mad hatterpillar stacks old head casings on top of its head. Scientists think it is used as a decoy against would-be predators and parasites, and when needed, it can also be used as a weapon. National Geographic/Katherine Hannaford Worst parents ever? A young barnacle goose chick prepares t make the 800-foot jump from its nest to the ground. National Geographic An adult pearlfish reverses into a sea cucumber's butt to hide. National Geographic A vulture sticks its head inside an elephant carcass to eat. National Geographic A manatee releases flatulence while swimming to lose the buoyancy build up of gas inside its stomach, and descend down the water column. National Geographic/Karl Davies "There is a sense after awhile that you're playing the same animals to the same people, and the shows are starting to look the same and so is your audience," Linfield told Ars. "We thought, okay, how can we do something absolutely the opposite? We've gone through our careers collecting stories of these weird and crazy creatures that don't end up in the script because they're not big or sexy and they live under a rock. But they often have the best life histories and the craziest superpowers." Case in point: the velvet worm featured in the "Superheroes" episode, which creeps up on unsuspecting prey before squirting disgusting slime all over their food. (It's a handy defense mechanism, too, against predators like the wolf spider.) Once Linfield and Berlowitz decided to focus on nature's underdogs and to take a more humorous approach, Ryan Reynolds became their top choice for a narrator—the anti-Richard Attenborough. As luck would have it, the pair shared an agent with the mega-star. So even though they thought there was no way Reynolds would agree to the project, they put together a sizzle reel, complete with a "fake Canadian Ryan Reynolds sound-alike" doing the narration. Reynolds was on set when he received the reel, and loved it so much he recoded his own narration for the footage and sent it back. "From that moment he was in," said Linfield, and Wildstar Films worked closely with Reynolds and his company to develop the final series. "We've never worked that way on a series before, a joint collaboration from day one," Berlowitz admitted. But it worked: the end result strikes the perfect balance between scientific revelation and accurate natural history, and an edgy comic tone. That tone is quintessential Reynolds, and while he did mostly follow the script (which his team helped write), Linfield and Berlowitz admit there was also a fair amount of improvisation—not all of it PG-13.  "What we hadn't appreciated is that he's an incredible improv performer," said Berlowitz. "He can't help himself. He gets into character and starts riffing off [the footage]. There are some takes that we definitely couldn't use, that potentially would fit a slightly more Hulu audience."  Some of the ad-libs made it into the final episodes, however—like Reynolds describing an Aye-Aye as "if fear and panic had a baby and rolled it in dog hair"—even though it meant going back and doing a bit of recutting to get the new lines to fit. Cinematographer Tom Beldam films a long-tailed macaque who stole his smart phone minutes later. National Geographic/Laura Pennafort Cinematographer Tom Beldam films a long-tailed macaque who stole his smart phone minutes later. National Geographic/Laura Pennafort The macaque agrees to trade ithe stolen phone for a piece of food. National Geographic The macaque agrees to trade ithe stolen phone for a piece of food. National Geographic A family of tortoise beetles defend themselves from a carnivorous ant by wafting baby poop in its direction. National Geographic A family of tortoise beetles defend themselves from a carnivorous ant by wafting baby poop in its direction. National Geographic The macaque agrees to trade ithe stolen phone for a piece of food. National Geographic A family of tortoise beetles defend themselves from a carnivorous ant by wafting baby poop in its direction. National Geographic A male hippo sprays his feces at another male who is threatening to take over his patch. National Geographic A male proboscis monkey flaunts his large nose. The noses of these males are used to amplify their calls in the vast forest. National Geographic Dream girl: A blood-soaked female hyena looks across the African savanna. National Geographic A male bowerbird presents one of the finest items in his collection to a female in his bower. National Geographic The male nursery web spider presents his nuptial gift to the female. National Geographic Cue the Barry White mood music: Two leopard slugs suspend themselves on a rope of mucus as they entwine their bodies to mate with one another. National Geographic Despite their years of collective experience, Linfield and Berlowitz were initially skeptical when the crew told them about the pearl fish, which hides from predators in a sea cucumber's butt (along with many other species). "It had never been filmed so we said, 'You're going to have to prove it to us,'" said Berlowitz. "They came back with this fantastic, hilarious sequence of a pearl fish reverse parking [in a sea cucumber's anus)." The film crew experienced a few heart-pounding moments, most notably while filming the cliffside nests of barnacle geese for the "Terrible Parents" episode. A melting glacier caused a watery avalanche while the crew was filming the geese, and they had to quickly grab a few shots and run to safety. Less dramatic: cinematographer Tom Beldam had his smartphone stolen by a long-tailed macaque mere minutes after he finished capturing the animal on film. If all goes well and Underdogs finds its target audience, we may even get a follow-up. "We are slightly plowing new territory but the science is as true as it's ever been and the stories are good. That aspect of the natural history is still there," said Linfield. "I think what we really hope for is that people who don't normally watch natural history will watch it. If people have as much fun watching it as we had making it, then the metrics should be good enough for another season." Verdict: Underdogs is positively addictive; I binged all five episodes in a single day. (For his part, Reynolds said in a statement that he was thrilled to "finally watch a project of ours with my children. Technically they saw Deadpool and Wolverine but I don't think they absorbed much while covering their eyes and ears and screaming for two hours.") Underdogs premieres June 15, 2025, at 9 PM/8 PM Central on National Geographic (simulcast on ABC) and will be available for streaming on Disney+ and Hulu the following day.  You should watch it, if only to get that second season. Jennifer Ouellette Senior Writer Jennifer Ouellette Senior Writer Jennifer is a senior writer at Ars Technica with a particular focus on where science meets culture, covering everything from physics and related interdisciplinary topics to her favorite films and TV series. Jennifer lives in Baltimore with her spouse, physicist Sean M. Carroll, and their two cats, Ariel and Caliban. 5 Comments

Key Takeaways Meta and Yandex have been found guilty of secretly listening to localhost ports and using them to transfer sensitive data from Android devices. The corporations use Meta Pixel and Yandex Metrica scripts to transfer cookies from browsers to local apps. Using incognito mode or a VPN can’t fully protect users against it. A Meta spokesperson has called this a ‘miscommunication,’ which seems to be an attempt to underplay the situation. Denmark’s Ministry of Digitalization has recently announced that it will leave the Microsoft ecosystem in favor of Linux and other open-source software. Minister Caroline Stage Olsen revealed this in an interview with Politiken, the country’s leading newspaper. According to Olsen, the Ministry plans to switch half of its employees to Linux and LibreOffice by summer, and the rest by fall. The announcement comes after Denmark’s largest cities – Copenhagen and Aarhus – made similar moves earlier this month. Why the Danish Ministry of Digitalization Switched to Open-Source Software The three main reasons Denmark is moving away from Microsoft are costs, politics, and security. In the case of Aarhus, the city was able to slash its annual costs from 800K kroner to just 225K by replacing Microsoft with a German service provider.  The same is a pain point for Copenhagen, which saw its costs on Microsoft balloon from 313M kroner in 2018 to 538M kroner in 2023. It’s also part of a broader move to increase its digital sovereignty. In her LinkedIn post, Olsen further explained that the strategy is not about isolation or digital nationalism, adding that they should not turn their backs completely on global tech companies like Microsoft.  Instead, it’s about avoiding being too dependent on these companies, which could prevent them from acting freely. Then there’s politics. Since his reelection earlier this year, US President Donald Trump has repeatedly threatened to take over Greenland, an autonomous territory of Denmark.  In May, the Danish Foreign Minister Lars Løkke Rasmussen summoned the US ambassador regarding news that US spy agencies have been told to focus on the territory. If the relationship between the two countries continues to erode, Trump can order Microsoft and other US tech companies to cut off Denmark from their services. After all, Microsoft and Facebook’s parent company Meta, have close ties to the US president after contributing $1M each for his inauguration in January. Denmark Isn’t Alone: Other EU Countries Are Making Similar Moves Denmark is only one of the growing number of European Union (EU) countries taking measures to become more digitally independent. Germany’s Federal Digital Minister Karsten Wildberger emphasized the need to be more independent of global tech companies during the re:publica internet conference in May. He added that IT companies in the EU have the opportunity to create tech that is based on the region’s values. Meanwhile, Bert Hubert, a technical advisor to the Dutch Electoral Council, wrote in February that ‘it is no longer safe to move our governments and societies to US clouds.’ He said that America is no longer a ‘reliable partner,’ making it risky to have the data of European governments and businesses at the mercy of US-based cloud providers. Earlier this month, the chief prosecutor of the International Criminal Court (ICC), Karim Khan, experienced a disconnection from his Microsoft-based email account, sparking uproar across the region.  Speculation quickly arose that the incident was linked to sanctions previously imposed on the ICC by the Trump administration, an assertion Microsoft has denied. Earlier this month, the chief prosecutor of the International Criminal Court (ICC), Karim Khan, disconnection from his Microsoft-based email account caused an uproar in the region. Some speculated that this was connected to sanctions imposed by Trump against the ICC, which Microsoft denied. Weaning the EU Away from US Tech is Possible, But Challenges Lie Ahead Change like this doesn’t happen overnight. Just finding, let alone developing, reliable alternatives to tools that have been part of daily workflows for decades, is a massive undertaking. It will also take time for users to adapt to these new tools, especially when transitioning to an entirely new ecosystem. In Aarhus, for example, municipal staff initially viewed the shift to open source as a step down from the familiarity and functionality of Microsoft products. Overall, these are only temporary hurdles. Momentum is building, with growing calls for digital independence from leaders like Ministers Olsen and Wildberger.  Initiatives such as the Digital Europe Programme, which seeks to reduce reliance on foreign systems and solutions, further accelerate this push. As a result, the EU’s transition could arrive sooner rather than later As technology continues to evolve—from the return of 'dumbphones' to faster and sleeker computers—seasoned tech journalist, Cedric Solidon, continues to dedicate himself to writing stories that inform, empower, and connect with readers across all levels of digital literacy. With 20 years of professional writing experience, this University of the Philippines Journalism graduate has carved out a niche as a trusted voice in tech media. Whether he's breaking down the latest advancements in cybersecurity or explaining how silicon-carbon batteries can extend your phone’s battery life, his writing remains rooted in clarity, curiosity, and utility. Long before he was writing for Techreport, HP, Citrix, SAP, Globe Telecom, CyberGhost VPN, and ExpressVPN, Cedric's love for technology began at home courtesy of a Nintendo Family Computer and a stack of tech magazines. Growing up, his days were often filled with sessions of Contra, Bomberman, Red Alert 2, and the criminally underrated Crusader: No Regret. But gaming wasn't his only gateway to tech.  He devoured every T3, PCMag, and PC Gamer issue he could get his hands on, often reading them cover to cover. It wasn’t long before he explored the early web in IRC chatrooms, online forums, and fledgling tech blogs, soaking in every byte of knowledge from the late '90s and early 2000s internet boom. That fascination with tech didn’t just stick. It evolved into a full-blown calling. After graduating with a degree in Journalism, he began his writing career at the dawn of Web 2.0. What started with small editorial roles and freelance gigs soon grew into a full-fledged career. He has since collaborated with global tech leaders, lending his voice to content that bridges technical expertise with everyday usability. He’s also written annual reports for Globe Telecom and consumer-friendly guides for VPN companies like CyberGhost and ExpressVPN, empowering readers to understand the importance of digital privacy. His versatility spans not just tech journalism but also technical writing. He once worked with a local tech company developing web and mobile apps for logistics firms, crafting documentation and communication materials that brought together user-friendliness with deep technical understanding. That experience sharpened his ability to break down dense, often jargon-heavy material into content that speaks clearly to both developers and decision-makers. At the heart of his work lies a simple belief: technology should feel empowering, not intimidating. Even if the likes of smartphones and AI are now commonplace, he understands that there's still a knowledge gap, especially when it comes to hardware or the real-world benefits of new tools. His writing hopes to help close that gap. Cedric’s writing style reflects that mission. It’s friendly without being fluffy and informative without being overwhelming. Whether writing for seasoned IT professionals or casual readers curious about the latest gadgets, he focuses on how a piece of technology can improve our lives, boost our productivity, or make our work more efficient. That human-first approach makes his content feel more like a conversation than a technical manual. As his writing career progresses, his passion for tech journalism remains as strong as ever. With the growing need for accessible, responsible tech communication, he sees his role not just as a journalist but as a guide who helps readers navigate a digital world that’s often as confusing as it is exciting. From reviewing the latest devices to unpacking global tech trends, Cedric isn’t just reporting on the future; he’s helping to write it. View all articles by Cedric Solidon Our editorial process The Tech Report editorial policy is centered on providing helpful, accurate content that offers real value to our readers. We only work with experienced writers who have specific knowledge in the topics they cover, including latest developments in technology, online privacy, cryptocurrencies, software, and more. Our editorial policy ensures that each topic is researched and curated by our in-house editors. We maintain rigorous journalistic standards, and every article is 100% written by real authors.

India has been one of the top recipients of remittances in the world for more than a decade. Inward remittances jumped from $55.6 billion in 2010-11 to $118.7 billion in 2023-24, according to data from the country’s central bank. The bank projects that figure will reach $160 billion in 2029. This means there is an increasing market for digitalized banking experiences for non-resident Indians(NRIs), ranging from remittances to investing in different assets back home. Aspora (formerly Vance) is trying to build a verticalized financial experience for the Indian diaspora by keeping convenience at the center. While a lot of financial products are in its future roadmap, the company currently focuses largely on remittances. “While multiple financial products for non-resident Indians exist, they don’t know about them because there is no digital journey for them. They possibly use the same banking app as residents, which makes it harder for them to discover products catered towards them,” Garg said. In the last year, the company has grown the volume of remittances by 6x — from $400 million to $2 billion in yearly volume processed. With this growth, the company has attracted a lot of investor interest. It raised $35 million in Series A funding last December — which was previously unreported — led by Sequoia with participation from Greylock, Y Combinator, Hummingbird Ventures, and Global Founders Capital. The round pegged the company’s valuation at $150 million. In the four months following, the company tripled its transaction volume, prompting investors to put in more money. The company announced today it has raised $50 million in Series B funding, co-led by Sequoia and Greylock, with Hummingbird, Quantum Light Ventures, and Y Combinator also contributing to the round. The startup said this round values the company at $500 million. The startup has raised over $99 million in funding to date. Techcrunch event Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | July 15 REGISTER NOW After pivoting from being Pipe.com for India, the company started by offering remittance for NRIs in the U.K. in 2023 and has expanded its presence in other markets, including Europe and the United Arab Emirates. It charges a flat fee for money transfer and offers a competitive rate. Now it also allows customers to invest in mutual funds in India. The startup markets its exchange rates as “Google rate” as customers often search for currency conversion rates, even though they may not reflect live rates. The startup is also set to launch in the U.S., one of the biggest remittance corridors to India, next month. Plus, it plans to open up shop in Canada, Singapore, and Australia by the fourth quarter of this year. Garg, who grew up in the UAE, said that remittances are just the start, and the company wants to build out more financial tools for NRIs. “We want to use remittances as a wedge and build all the financial solutions that the diaspora needs, including banking, investing, insurance, lending in the home country, and products that help them take care of their parents,” he told TechCrunch. He added that a large chunk of money that NRIs send home is for wealth creation rather than family sustenance. The startup said that 80% of its users are sending money to their own accounts back home. In the next few months, the company is launching a few products to offer more services. This month, it plans to launch a bill payment platform to let users pay for services like rent and utilities. Next month, it plans to launch fixed deposit accounts for non-resident Indians that allow them to park money in foreign currency. By the end of the year, it plans to launch a full-stack banking account for NRIs that typically takes days for users to open. While these accounts can help the diaspora maintain their tax status in India, a lot of people use a family member’s account because of the cumbersome process, and Aspora wants to simplify this. Apart from banking, the company also plans to launch a product that would help NRIs take care of their parents back home by offering regular medical checkups, emergency care coverage, and concierge services for other assistance. Besides global competitors like Remittly and Wise, the company also has India-based rivals like Abound, which was spun off from Times Internet. Sequoia’s Luciana Lixandru is confident that Aspora’s execution speed and verticalized solution will give it an edge. “Speed of execution, for me, is one of the main indicators in the early days of the future success of a company,” she told TechCrunch over a call. “Aspora moves fast, but it is also very deliberate in building corridor by corridor, which is very important in financial services.”

June 13, 20256 min readAir-Conditioning Can Surprisingly Help the Power Grid during Extreme HeatSwitching on air-conditioning during extreme heat doesn’t have to make us feel guilty—it can actually boost power grid reliability and help bring more renewable energy onlineBy Johanna Mathieu & The Conversation US Imagedepotpro/Getty ImagesThe following essay is reprinted with permission from The Conversation, an online publication covering the latest research.As summer arrives, people are turning on air conditioners in most of the U.S. But if you’re like me, you always feel a little guilty about that. Past generations managed without air conditioning – do I really need it? And how bad is it to use all this electricity for cooling in a warming world?If I leave my air conditioner off, I get too hot. But if everyone turns on their air conditioner at the same time, electricity demand spikes, which can force power grid operators to activate some of the most expensive, and dirtiest, power plants. Sometimes those spikes can ask too much of the grid and lead to brownouts or blackouts.On supporting science journalismIf you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.Research I recently published with a team of scholars makes me feel a little better, though. We have found that it is possible to coordinate the operation of large numbers of home air-conditioning units, balancing supply and demand on the power grid – and without making people endure high temperatures inside their homes.Studies along these lines, using remote control of air conditioners to support the grid, have for many years explored theoretical possibilities like this. However, few approaches have been demonstrated in practice and never for such a high-value application and at this scale. The system we developed not only demonstrated the ability to balance the grid on timescales of seconds, but also proved it was possible to do so without affecting residents’ comfort.The benefits include increasing the reliability of the power grid, which makes it easier for the grid to accept more renewable energy. Our goal is to turn air conditioners from a challenge for the power grid into an asset, supporting a shift away from fossil fuels toward cleaner energy.Adjustable equipmentMy research focuses on batteries, solar panels and electric equipment – such as electric vehicles, water heaters, air conditioners and heat pumps – that can adjust itself to consume different amounts of energy at different times.Originally, the U.S. electric grid was built to transport electricity from large power plants to customers’ homes and businesses. And originally, power plants were large, centralized operations that burned coal or natural gas, or harvested energy from nuclear reactions. These plants were typically always available and could adjust how much power they generated in response to customer demand, so the grid would be balanced between power coming in from producers and being used by consumers.But the grid has changed. There are more renewable energy sources, from which power isn’t always available – like solar panels at night or wind turbines on calm days. And there are the devices and equipment I study. These newer options, called “distributed energy resources,” generate or store energy near where consumers need it – or adjust how much energy they’re using in real time.One aspect of the grid hasn’t changed, though: There’s not much storage built into the system. So every time you turn on a light, for a moment there’s not enough electricity to supply everything that wants it right then: The grid needs a power producer to generate a little more power. And when you turn off a light, there’s a little too much: A power producer needs to ramp down.The way power plants know what real-time power adjustments are needed is by closely monitoring the grid frequency. The goal is to provide electricity at a constant frequency – 60 hertz – at all times. If more power is needed than is being produced, the frequency drops and a power plant boosts output. If there’s too much power being produced, the frequency rises and a power plant slows production a little. These actions, a process called “frequency regulation,” happen in a matter of seconds to keep the grid balanced.This output flexibility, primarily from power plants, is key to keeping the lights on for everyone.Finding new optionsI’m interested in how distributed energy resources can improve flexibility in the grid. They can release more energy, or consume less, to respond to the changing supply or demand, and help balance the grid, ensuring the frequency remains near 60 hertz.Some people fear that doing so might be invasive, giving someone outside your home the ability to control your battery or air conditioner. Therefore, we wanted to see if we could help balance the grid with frequency regulation using home air-conditioning units rather than power plants – without affecting how residents use their appliances or how comfortable they are in their homes.From 2019 to 2023, my group at the University of Michigan tried this approach, in collaboration with researchers at Pecan Street Inc., Los Alamos National Laboratory and the University of California, Berkeley, with funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy.We recruited 100 homeowners in Austin, Texas, to do a real-world test of our system. All the homes had whole-house forced-air cooling systems, which we connected to custom control boards and sensors the owners allowed us to install in their homes. This equipment let us send instructions to the air-conditioning units based on the frequency of the grid.Before I explain how the system worked, I first need to explain how thermostats work. When people set thermostats, they pick a temperature, and the thermostat switches the air-conditioning compressor on and off to maintain the air temperature within a small range around that set point. If the temperature is set at 68 degrees, the thermostat turns the AC on when the temperature is, say, 70, and turns it off when it’s cooled down to, say, 66.Every few seconds, our system slightly changed the timing of air-conditioning compressor switching for some of the 100 air conditioners, causing the units’ aggregate power consumption to change. In this way, our small group of home air conditioners reacted to grid changes the way a power plant would – using more or less energy to balance the grid and keep the frequency near 60 hertz.Moreover, our system was designed to keep home temperatures within the same small temperature range around the set point.Testing the approachWe ran our system in four tests, each lasting one hour. We found two encouraging results.First, the air conditioners were able to provide frequency regulation at least as accurately as a traditional power plant. Therefore, we showed that air conditioners could play a significant role in increasing grid flexibility. But perhaps more importantly – at least in terms of encouraging people to participate in these types of systems – we found that we were able to do so without affecting people’s comfort in their homes.We found that home temperatures did not deviate more than 1.6 Fahrenheit from their set point. Homeowners were allowed to override the controls if they got uncomfortable, but most didn’t. For most tests, we received zero override requests. In the worst case, we received override requests from two of the 100 homes in our test.In practice, this sort of technology could be added to commercially available internet-connected thermostats. In exchange for credits on their energy bills, users could choose to join a service run by the thermostat company, their utility provider or some other third party.Then people could turn on the air conditioning in the summer heat without that pang of guilt, knowing they were helping to make the grid more reliable and more capable of accommodating renewable energy sources – without sacrificing their own comfort in the process.This article was originally published on The Conversation. Read the original article.

Mario Kart World is one of the year's hottest games, but its pivot to an open world setting, while peeling back kart customization options, opened a massive rift for Sonic Racing: CrossWorlds to drift into. And Sega is determined to do everything possible to make its kart racer the one to beat by including numerous guest characters and cross-platform, multiplayer contests. I took Sonic Racing: CrossWorlds for a test drive at the Summer Game Fest, and it's a strong contender racing game of the year.Sonic Racing: CrossWorlds' Deep Kart CustomizationThe biggest difference between Sonic Racing: CrossWorlds and Mario Kart World is that Sega's title focuses on kart customization. I'm not just talking about colors and tires; CrossWorlds introduces Gadgets, add-ons that augment your car, giving your whip helpful abilities to bring into the race. (Credit: Sega)Each ride has a license plate with six slots where you can slot your chosen Gadgets. A Gadget can take up one, two, or three slots, so the idea is to find a mix that pairs well with character traits. There's a surprising amount of depth for people who want to min/max their favorite anthropomorphic animal.I chose Sonic, a speed character, and added a Gadget that started him with two boosts (one slot), a Gadget that improved his speed while trailing an opponent (two slots), and a Gadget that improved acceleration (three slots). There were so many Gadgets that I could have easily spent my entire demo session building a car to match my playstyle. I envision people happily getting lost in the weeds before participating in their first race.(Credit: Sega)Gameplay: This Ain't Mario Kart WorldAlthough it's not an open world like Mario Kart World, Sonic Racing: CrossWorlds injects a unique spin on traditional kart racing. The familiar trappings are all here, such as rings to boost your top speed. Each Grand Prix consists of three maps, but the gimmick at play is stage transitions. Recommended by Our EditorsAbout a third of the way down a course, a giant ring-portal opens, presenting a new world and track (hence the name "CrossWorlds"). The shift in tone and terrain keeps the races fast-paced and unpredictable. I particularly liked how whoever is in first place can sometimes choose which CrossWorlds track to go down, controlling the tempo. With every race completion, you earn credits based on your performance that you can cash in for new car parts.In a stark contrast to Mario Kart World, Sonic Racing: CrossWorlds is far more aggressive, even on lower difficulties. At the start of each grand prix, the game assigns you a rival—this is the character to beat, and the one who taunts you all match. Beat them all, and you can race high-powered Super variants.Just about everything caused you to lose rings: bumping into other players, the walls, and, of course, getting hit by items. The series' trademark rubberband AI is still in place, too. Even in the press demo, I wasn't safe from taking four items back to back and being knocked off the stage mere feet away from the finish line.(Credit: Sega)The demo didn't include the new characters that debuted at the Summer Game Fest, but I studied the character screen to see who else could be coming to the game. Including the 12 Sonic characters available in the demo, I counted a whopping 64 character slots. They include Hatsune Miku (the ultra-popular Vocaloid), Joker (from Persona 5), Ichiban Kasuga (from Like a Dragon), and Steve (from Minecraft). However, I hope to see other classic Sega IPs like in previous Sonic Racing titles.Platforms and Release DateWill Sega do what Nintendon't? I had an exhilarating time playing Sonic Racing: CrossWorld, and I can't wait to see more wild track compositions. Sonic Racing: CrossWorlds will be available on Nintendo Switch, PC, PlayStation 4, PlayStation 5, Xbox One, and Xbox Series X/S on Sept. 25, 2025. A Nintendo Switch 2 version is planned for later in the year.

Reading Time: 9 minutes In the ever-evolving landscape of customer engagement, staying ahead of the curve is not just advantageous, it’s essential. That’s why, for Chapter 7 of “The Customer Engagement Book: Adapt or Die,” we sat down with Mirela Cialai, a seasoned expert in CRM and Martech strategies at brands like Equinox. Mirela brings a wealth of knowledge in aligning technology roadmaps with business goals, shifting organizational focuses from acquisition to retention, and leveraging hyper-personalization to drive success. In this interview, Mirela dives deep into building robust customer engagement technology roadmaps. She unveils the “PAPER” framework—Plan, Audit, Prioritize, Execute, Refine—a simple yet effective strategy for marketers. You’ll gain insights into identifying gaps in your Martech stack, ensuring data accuracy, and prioritizing initiatives that deliver the greatest impact and ROI. Whether you’re navigating data silos, striving for cross-functional alignment, or aiming for seamless tech integration, Mirela’s expertise provides practical solutions and actionable takeaways.   Mirela Cialai Q&A Interview 1. How do you define the vision for a customer engagement platform roadmap in alignment with the broader business goals? Can you share any examples of successful visions from your experience? Defining the vision for the roadmap in alignment with the broader business goals involves creating a strategic framework that connects the team’s objectives with the organization’s overarching mission or primary objectives. This could be revenue growth, customer retention, market expansion, or operational efficiency. We then break down these goals into actionable areas where the team can contribute, such as improving engagement, increasing lifetime value, or driving acquisition. We articulate how the team will support business goals by defining the KPIs that link CRM outcomes — the team’s outcomes — to business goals. In a previous role, the CRM team I was leading faced significant challenges due to the lack of attribution capabilities and a reliance on surface-level metrics such as open rates and click-through rates to measure performance. This approach made it difficult to quantify the impact of our efforts on broader business objectives such as revenue growth. Recognizing this gap, I worked on defining a vision for the CRM team to address these shortcomings. Our vision was to drive measurable growth through enhanced data accuracy and improved attribution capabilities, which allowed us to deliver targeted, data-driven, and personalized customer experiences. To bring this vision to life, I developed a roadmap that focused on first improving data accuracy, building our attribution capabilities, and delivering personalization at scale. By aligning the vision with these strategic priorities, we were able to demonstrate the tangible impact of our efforts on the key business goals. 2. What steps did you take to ensure data accuracy? The data team was very diligent in ensuring that our data warehouse had accurate data. So taking that as the source of truth, we started cleaning the data in all the other platforms that were integrated with our data warehouse — our CRM platform, our attribution analytics platform, etc. That’s where we started, looking at all the different integrations and ensuring that the data flows were correct and that we had all the right flows in place. And also validating and cleaning our email database — that helped, having more accurate data. 3. How do you recommend shifting organizational focus from acquisition to retention within a customer engagement strategy? Shifting an organization’s focus from acquisition to retention requires a cultural and strategic shift, emphasizing the immense value that existing customers bring to long-term growth and profitability. I would start by quantifying the value of retention, showcasing how retaining customers is significantly more cost-effective than acquiring new ones. Research consistently shows that increasing retention rates by just 5% can boost profits by at least 25 to 95%. This data helps make a compelling case to stakeholders about the importance of prioritizing retention. Next, I would link retention to core business goals by demonstrating how enhancing customer lifetime value and loyalty can directly drive revenue growth. This involves shifting the organization’s focus to retention-specific metrics such as churn rate, repeat purchase rate, and customer LTV. These metrics provide actionable insights into customer behaviors and highlight the financial impact of retention initiatives, ensuring alignment with the broader company objectives. By framing retention as a driver of sustainable growth, the organization can see it not as a competing priority, but as a complementary strategy to acquisition, ultimately leading to a more balanced and effective customer engagement strategy. 4. What are the key steps in analyzing a brand’s current Martech stack capabilities to identify gaps and opportunities for improvement? Developing a clear understanding of the Martech stack’s current state and ensuring it aligns with a brand’s strategic needs and future goals requires a structured and strategic approach. The process begins with defining what success looks like in terms of technology capabilities such as scalability, integration, automation, and data accessibility, and linking these capabilities directly to the brand’s broader business objectives. I start by doing an inventory of all tools currently in use, including their purpose, owner, and key functionalities, assessing if these tools are being used to their full potential or if there are features that remain unused, and reviewing how well tools integrate with one another and with our core systems, the data warehouse. Also, comparing the capabilities of each tool and results against industry standards and competitor practices and looking for missing functionalities such as personalization, omnichannel orchestration, or advanced analytics, and identifying overlapping tools that could be consolidated to save costs and streamline workflows. Finally, review the costs of the current tools against their impact on business outcomes and identify technologies that could reduce costs, increase efficiency, or deliver higher ROI through enhanced capabilities. Establish a regular review cycle for the Martech stack to ensure it evolves alongside the business and the technological landscape. 5. How do you evaluate whether a company’s tech stack can support innovative customer-focused campaigns, and what red flags should marketers look out for? I recommend taking a structured approach and first ensure there is seamless integration across all tools to support a unified customer view and data sharing across the different channels. Determine if the stack can handle increasing data volumes, larger audiences, and additional channels as the campaigns grow, and check if it supports dynamic content, behavior-based triggers, and advanced segmentation and can process and act on data in real time through emerging technologies like AI/ML predictive analytics to enable marketers to launch responsive and timely campaigns. Most importantly, we need to ensure that the stack offers robust reporting tools that provide actionable insights, allowing teams to track performance and optimize campaigns. Some of the red flags are: data silos where customer data is fragmented across platforms and not easily accessible or integrated, inability to process or respond to customer behavior in real time, a reliance on manual intervention for tasks like segmentation, data extraction, campaign deployment, and poor scalability. If the stack struggles with growing data volumes or expanding to new channels, it won’t support the company’s evolving needs. 6. What role do hyper-personalization and timely communication play in a successful customer engagement strategy? How do you ensure they’re built into the technology roadmap? Hyper-personalization and timely communication are essential components of a successful customer engagement strategy because they create meaningful, relevant, and impactful experiences that deepen the relationship with customers, enhance loyalty, and drive business outcomes. Hyper-personalization leverages data to deliver tailored content that resonates with each individual based on their preferences, behavior, or past interactions, and timely communication ensures these personalized interactions occur at the most relevant moments, which ultimately increases their impact. Customers are more likely to engage with messages that feel relevant and align with their needs, and real-time triggers such as cart abandonment or post-purchase upsells capitalize on moments when customers are most likely to convert. By embedding these capabilities into the roadmap through data integration, AI-driven insights, automation, and continuous optimization, we can deliver impactful, relevant, and timely experiences that foster deeper customer relationships and drive long-term success. 7. What’s your approach to breaking down the customer engagement technology roadmap into manageable phases? How do you prioritize the initiatives? To create a manageable roadmap, we need to divide it into distinct phases, starting with building the foundation by addressing data cleanup, system integrations, and establishing metrics, which lays the groundwork for success. Next, we can focus on early wins and quick impact by launching behavior-based campaigns, automating workflows, and improving personalization to drive immediate value. Then we can move to optimization and expansion, incorporating predictive analytics, cross-channel orchestration, and refined attribution models to enhance our capabilities. Finally, prioritize innovation and scalability, leveraging AI/ML for hyper-personalization, scaling campaigns to new markets, and ensuring the system is equipped for future growth. By starting with foundational projects, delivering quick wins, and building towards scalable innovation, we can drive measurable outcomes while maintaining our agility to adapt to evolving needs. In terms of prioritizing initiatives effectively, I would focus on projects that deliver the greatest impact on business goals, on customer experience and ROI, while we consider feasibility, urgency, and resource availability. In the past, I’ve used frameworks like Impact Effort Matrix to identify the high-impact, low-effort initiatives and ensure that the most critical projects are addressed first. 8. How do you ensure cross-functional alignment around this roadmap? What processes have worked best for you? Ensuring cross-functional alignment requires clear communication, collaborative planning, and shared accountability. We need to establish a shared understanding of the roadmap’s purpose and how it ties to the company’s overall goals by clearly articulating the “why” behind the roadmap and how each team can contribute to its success. To foster buy-in and ensure the roadmap reflects diverse perspectives and needs, we need to involve all stakeholders early on during the roadmap development and clearly outline each team’s role in executing the roadmap to ensure accountability across the different teams. To keep teams informed and aligned, we use meetings such as roadmap kickoff sessions and regular check-ins to share updates, address challenges collaboratively, and celebrate milestones together. 9. If you were to outline a simple framework for marketers to follow when building a customer engagement technology roadmap, what would it look like? A simple framework for marketers to follow when building the roadmap can be summarized in five clear steps: Plan, Audit, Prioritize, Execute, and Refine. In one word: PAPER. Here’s how it breaks down. Plan: We lay the groundwork for the roadmap by defining the CRM strategy and aligning it with the business goals. Audit: We evaluate the current state of our CRM capabilities. We conduct a comprehensive assessment of our tools, our data, the processes, and team workflows to identify any potential gaps. Prioritize: initiatives based on impact, feasibility, and ROI potential. Execute: by implementing the roadmap in manageable phases. Refine: by continuously improving CRM performance and refining the roadmap. So the PAPER framework — Plan, Audit, Prioritize, Execute, and Refine — provides a structured, iterative approach allowing marketers to create a scalable and impactful customer engagement strategy. 10. What are the most common challenges marketers face in creating or executing a customer engagement strategy, and how can they address these effectively? The most critical is when the customer data is siloed across different tools and platforms, making it very difficult to get a unified view of the customer. This limits the ability to deliver personalized and consistent experiences. The solution is to invest in tools that can centralize data from all touchpoints and ensure seamless integration between different platforms to create a single source of truth. Another challenge is the lack of clear metrics and ROI measurement and the inability to connect engagement efforts to tangible business outcomes, making it very hard to justify investment or optimize strategies. The solution for that is to define clear KPIs at the outset and use attribution models to link customer interactions to revenue and other key outcomes. Overcoming internal silos is another challenge where there is misalignment between teams, which can lead to inconsistent messaging and delayed execution. A solution to this is to foster cross-functional collaboration through shared goals, regular communication, and joint planning sessions. Besides these, other challenges marketers can face are delivering personalization at scale, keeping up with changing customer expectations, resource and budget constraints, resistance to change, and others. While creating and executing a customer engagement strategy can be challenging, these obstacles can be addressed through strategic planning, leveraging the right tools, fostering collaboration, and staying adaptable to customer needs and industry trends. By tackling these challenges proactively, marketers can deliver impactful customer-centric strategies that drive long-term success. 11. What are the top takeaways or lessons that you’ve learned from building customer engagement technology roadmaps that others should keep in mind? I would say one of the most important takeaways is to ensure that the roadmap directly supports the company’s broader objectives. Whether the focus is on retention, customer lifetime value, or revenue growth, the roadmap must bridge the gap between high-level business goals and actionable initiatives. Another important lesson: The roadmap is only as effective as the data and systems it’s built upon. I’ve learned the importance of prioritizing foundational elements like data cleanup, integrations, and governance before tackling advanced initiatives like personalization or predictive analytics. Skipping this step can lead to inefficiencies or missed opportunities later on. A Customer Engagement Roadmap is a strategic tool that evolves alongside the business and its customers. So by aligning with business goals, building a solid foundation, focusing on impact, fostering collaboration, and remaining adaptable, you can create a roadmap that delivers measurable results and meaningful customer experiences.     This interview Q&A was hosted with Mirela Cialai, Director of CRM & MarTech at Equinox, for Chapter 7 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Mirela Cialai Q&A: Customer Engagement Book Interview appeared first on MoEngage.

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

After hanging up his daggers as Drax the Destroyer and getting got as Glossu Rabban in Dune: Part Two, Dave Bautista is stepping into video games and animation with a new franchise by the name of Cat Assassin. The wrestler-actor and his production company Dogbone Entertainment will bring to life a new idea from Steve Lerner, who wrote 2022’s feline adventure game Stray. This would-be franchise will comprise a stealth-action video game—influenced by titles such as Assassin’s Creed, Splinter Cell, and Sifu—from developer Titan1Studios (Love is a Roguelike, The Events at Unity Farm) and a “neo-noir adult animated series.” Cat Assassin focuses on Hugh, an expert killer “caught between various cartels and power brokers in a dark and twisted city.” Bautista’s part of the enterprise’s “creative vision,” but at the moment, it’s unclear if that also means he’ll lend his voice to Hugh in either animated or video game form. (His current voice work includes the upcoming Army of the Dead animated series and playing himself in WWE games since 2003.) Titan1 has several TV and game projects in the works, so at the moment, there’s no real window on when to expect Cat Assassin. Still, in a statement on Titan1’s website Bautista called teaming with the company “a pleasure … Their ability to build worlds through animation has been so impressive and they’ve created a truly unique world in this game that I can’t wait to share with players.” While the game is seemingly expected for release in October 2027 for PC and several consoles, including the Nintendo Switch 2, Titan1 said more details on the overall franchise’s future is expected “in the coming months.” Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.