Hi, friends! Welcome to Installer No. 87, your guide to the best and Verge-iest stuff in the world. (If you’re new here, welcome, happy It’s Officially Too Hot Now Week, and also you can read all the old editions at the Installer homepage.) This week, I’ve been reading about Sabrina Carpenter and Khaby Lame and intimacy coordinators, finally making a dent in Barbarians at the Gate, watching all the Ben Schwartz and Friends I can find on YouTube, planning my days with the new Finalist beta, recklessly installing all the Apple developer betas after WWDC, thoroughly enjoying Dakota Johnson’s current press tour, and trying to clear all my inboxes before I go on parental leave. It’s… going.I also have for you a much-awaited new browser, a surprise update to a great photo editor, a neat trailer for a meh-looking movie, a classic Steve Jobs speech, and much more. Slightly shorter issue this week, sorry; there’s just a lot going on, but I didn’t want to leave y’all hanging entirely. Oh, and: we’ll be off next week, for Juneteenth, vacation, and general summer chaos reasons. We’ll be back in full force after that, though! Let’s get into it.(As always, the best part of Installer is your ideas and tips. What do you want to know more about? What awesome tricks do you know that everyone else should? What app should everyone be using? Tell me everything: installer@theverge.com. And if you know someone else who might enjoy Installer, forward it to them and tell them to subscribe here.)The DropDia. I know there are a lot of Arc fans here in the Installerverse, and I know you, like me, will have a lot of feelings about the company’s new and extremely AI-focused browser. Personally, I don’t see leaving Arc anytime soon, but there are some really fascinating ideas (and nice design touches) in Dia already. Snapseed 3.0. I completely forgot Snapseed even existed, and now here’s a really nice update with a bunch of new editing tools and a nice new redesign! As straightforward photo editors go, this is one of the better ones. The new version is only on iOS right now, but I assume it’s heading to Android shortly.“I Tried To Make Something In America.” I was first turned onto the story of the Smarter Scrubber by a great Search Engine episode, and this is a great companion to the story about what it really takes to bring manufacturing back to the US. And why it’s hard to justify.. That link, and the trailer, will only do anything for you if you have a newer iPhone. But even if you don’t care about the movie, the trailer — which actually buzzes in sync with the car’s rumbles and revs — is just really, really cool. Android 16. You can’t get the cool, colorful new look just yet or the desktop mode I am extremely excited about — there’s a lot of good stuff in Android 16 but most of it is coming later. Still, Live Updates look good, and there’s some helpful accessibility stuff, as well.The Infinite Machine Olto. I am such a sucker for any kind of futuristic-looking electric scooter, and this one really hits the sweet spot. Part moped, part e-bike, all Blade Runner vibes. If it wasn’t $3,500, then I would’ve probably ordered one already.The Fujifilm X-E5. I kept wondering why Fujifilm didn’t just make, like, a hundred different great-looking cameras at every imaginable price because everyone wants a camera this cool. Well, here we are! It’s a spin on the X100VI but with interchangeable lenses and a few power-user features. All my photographer friends are going to want this.Call Her Alex. I confess I’m no Call Her Daddy diehard, but I found this two-part doc on Alex Cooper really interesting. Cooper’s story is all about understanding people, the internet, and what it means to feel connected now. It’s all very low-stakes and somehow also existential? It’s only two parts, you should watch it.“Steve Jobs - 2005 Stanford Commencement Address.” For the 20th anniversary of Jobs’ famous (and genuinely fabulous) speech, the Steve Jobs Archive put together a big package of stories, notes, and other materials around the speech. Plus, a newly high-def version of the video. This one’s always worth the 15 minutes.Dune: Awakening. Dune has ascended to the rare territory of “I will check out anything from this franchise, ever, no questions asked.” This game is big on open-world survival and ornithopters, too, so it’s even more my kind of thing. And it’s apparently punishingly difficult in spots.CrowdsourcedHere’s what the Installer community is into this week. I want to know what you’re into right now as well! Email installer@theverge.com or message me on Signal — @davidpierce.11 — with your recommendations for anything and everything, and we’ll feature some of our favorites here every week. For even more great recommendations, check out the replies to this post on Threads and this post on Bluesky.“I had tried the paper planner in the leather Paper Republic journal but since have moved onto the Remarkable Paper Pro color e-ink device which takes everything you like about paper but makes it editable and color coded. Combine this with a Remarkable planner in PDF format off of Etsy and you are golden.” — Jason“I started reading a manga series from content creator Cory Kenshin called Monsters We Make. So far, I love it. Already preordered Vol. 2.” — Rob“I recently went down the third party controller rabbit hole after my trusty adapted Xbox One controller finally kicked the bucket, and I wanted something I could use across my PC, phone, handheld, Switch, etc. I’ve been playing with the GameSir Cyclone 2 for a few weeks, and it feels really deluxe. The thumbsticks are impossibly smooth and accurate thanks to its TMR joysticks. The face buttons took a second for my brain to adjust to; the short travel distance initially registered as mushy, but once I stopped trying to pound the buttons like I was at the arcade, I found the subtle mechanical click super satisfying.” — Sam“The Apple TV Plus miniseries Long Way Home. It’s Ewan McGregor and Charley Boorman’s fourth Long Way series. This time they are touring some European countries on vintage bikes that they fixed, and it’s such a light-hearted show from two really down to earth humans. Connecting with other people in different cultures and seeing their journey is such a treat!” — Esmael“Podcast recommendation: Devil and the Deep Blue Sea by Christianity Today. A deep dive into the Satanic Panic of the 80’s and 90’s.” — Drew“Splatoon 3 (the free Switch 2 update) and the new How to Train Your Dragon.” — Aaron“I can’t put Mario Kart World down. When I get tired of the intense Knockout Tour mode I go to Free Roam and try to knock out P-Switch challenges, some of which are really tough! I’m obsessed.” — Dave“Fable, a cool app for finding books with virtual book clubs. It’s the closest to a more cozy online bookstore with more honest reviews. I just wish you could click on the author’s name to see their other books.” — Astrid“This is the Summer Games Fest week (formerly E3, RIP) and there are a TON of game demos to try out on Steam. One that has caught my attention / play time the most is Wildgate. It’s a team based spaceship shooter where ship crews battle and try to escape with a powerful artifact.” — Sean“Battlefront 2 is back for some reason. Still looks great.” — IanSigning offI have long been fascinated by weather forecasting. I recommend Andrew Blum’s book, The Weather Machine, to people all the time, as a way to understand both how we learned to predict the weather and why it’s a literally culture-changing thing to be able to do so. And if you want to make yourself so, so angry, there’s a whole chunk of Michael Lewis’s book, The Fifth Risk, about how a bunch of companies managed to basically privatize forecasts… based on government data. The weather is a huge business, an extremely powerful political force, and even more important to our way of life than we realize. And we’re really good at predicting the weather!I’ve also been hearing for years that weather forecasting is a perfect use for AI. It’s all about vast quantities of historical data, tiny fluctuations in readings, and finding patterns that often don’t want to be found. So, of course, as soon as I read my colleague Justine Calma’s story about a new Google project called Weather Lab, I spent the next hour poking through the data to see how well DeepMind managed to predict and track recent storms. It’s deeply wonky stuff, but it’s cool to see Big Tech trying to figure out Mother Nature — and almost getting it right. Almost.See you next week!See More:

Best bulk sms provider in kenya, uganda, rwanda and tanzania | Advanta Africa Started by advantaafrica June 16, 2025 05:30 AM 0 comments, last by advantaafrica 2 hours, 45 minutes ago Author Advanta is the best bulk SMS provider in Kenya, offering businesses an effective platform to reach their audience with high delivery rates and reliable services. Whether you need bulk SMS messages in Kenya or reliable messaging solutions in other East African countries, Advanta ensures high-quality service and seamless communication for businesses of all sizes. With its top-tier solutions, Advanta also stands as the best bulk SMS provider in Uganda, ensuring seamless communication through personalized and automated SMS campaigns. Expanding its reach across East Africa, Advanta is the top bulk SMS company in Rwanda, delivering tailored services for businesses to boost customer engagement and increase conversions. For companies in Rwanda seeking efficient communication, Advanta's bulk SMS services in Rwanda are second to none, providing cost-effective and timely solutions. Additionally, Advanta is a leading bulk SMS provider in Tanzania, offering businesses in the region advanced features that support both marketing and transactional messages. With robust bulk SMS services in Tanzania, Advanta helps businesses deliver targeted campaigns and maintain strong customer relationships across the country.

Perhaps the oldest, most pernicious form of human bias is that of men toward women. It often started at the moment of birth. In ancient Athens, at a public ceremony called the amphidromia, fathers would inspect a newborn and decide whether it would be part of the family, or be cast away. One often socially acceptable reason for abandoning the baby: It was a girl. Female infanticide has been distressingly common in many societies — and its practice is not just ancient history. In 1990, the Nobel Prize-winning economist Amartya Sen looked at birth ratios in Asia, North Africa, and China and calculated that more than 100 million women were essentially “missing” — meaning that, based on the normal ratio of boys to girls at birth and the longevity of both genders, there was a huge missing number of girls who should have been born, but weren’t. Sen’s estimate came before the truly widespread adoption of ultrasound tests that could determine the sex of a fetus in utero — which actually made the problem worse, leading to a wave of sex-selective abortions. These were especially common in countries like India and China; the latter’s one-child policy and old biases made families desperate for their one child to be a boy. The Economist has estimated that since 1980 alone, there have been approximately 50 million fewer girls born worldwide than would naturally be expected, which almost certainly means that roughly that nearly all of those girls were aborted for no other reason than their sex. The preference for boys was a bias that killed in mass numbers.But in one of the most important social shifts of our time, that bias is changing. In a great cover story earlier this month, The Economist reported that the number of annual excess male births has fallen from a peak of 1.7 million in 2000 to around 200,000, which puts it back within the biologically standard birth ratio of 105 boys for every 100 girls. Countries that once had highly skewed sex ratios — like South Korea, which saw almost 116 boys born for every 100 girls in 1990 — now have normal or near-normal ratios. Altogether, The Economist estimated that the decline in sex preference at birth in the past 25 years has saved the equivalent of 7 million girls. That’s comparable to the number of lives saved by anti-smoking efforts in the US. So how, exactly, have we overcome a prejudice that seemed so embedded in human society?Success in school and the workplaceFor one, we have relaxed discrimination against girls and women in other ways — in school and in the workplace. With fewer limits, girls are outperforming boys in the classroom. In the most recent international PISA tests, considered the gold standard for evaluating student performance around the world, 15-year-old girls beat their male counterparts in reading in 79 out of 81 participating countries or economies, while the historic male advantage in math scores has fallen to single digits. Girls are also dominating in higher education, with 113 female students at that level for every 100 male students. While women continue to earn less than men, the gender pay gap has been shrinking, and in a number of urban areas in the US, young women have actually been outearning young men. Government policies have helped accelerate that shift, in part because they have come to recognize the serious social problems that eventually result from decades of anti-girl discrimination. In countries like South Korea and China, which have long had some of the most skewed gender ratios at birth, governments have cracked down on technologies that enable sex-selective abortion. In India, where female infanticide and neglect have been particularly horrific, slogans like “Save the Daughter, Educate the Daughter” have helped change opinions. A changing preferenceThe shift is being seen not just in birth sex ratios, but in opinion polls — and in the actions of would-be parents.Between 1983 and 2003, The Economist reported, the proportion of South Korean women who said it was “necessary” to have a son fell from 48 percent to 6 percent, while nearly half of women now say they want daughters. In Japan, the shift has gone even further — as far back as 2002, 75 percent of couples who wanted only one child said they hoped for a daughter.In the US, which allows sex selection for couples doing in-vitro fertilization, there is growing evidence that would-be parents prefer girls, as do potential adoptive parents. While in the past, parents who had a girl first were more likely to keep trying to have children in an effort to have a boy, the opposite is now true — couples who have a girl first are less likely to keep trying. A more equal futureThere’s still more progress to be made. In northwest of India, for instance, birth ratios that overly skew toward boys are still the norm. In regions of sub-Saharan Africa, birth sex ratios may be relatively normal, but post-birth discrimination in the form of poorer nutrition and worse medical care still lingers. And course, women around the world are still subject to unacceptable levels of violence and discrimination from men.And some of the reasons for this shift may not be as high-minded as we’d like to think. Boys around the world are struggling in the modern era. They increasingly underperform in education, are more likely to be involved in violent crime, and in general, are failing to launch into adulthood. In the US, 20 percent of American men between 25 and 34 still live with their parents, compared to 15 percent of similarly aged women. It also seems to be the case that at least some of the increasing preference for girls is rooted in sexist stereotypes. Parents around the world may now prefer girls partly because they see them as more likely to take care of them in their old age — meaning a different kind of bias against women, that they are more natural caretakers, may be paradoxically driving the decline in prejudice against girls at birth.But make no mistake — the decline of boy preference is a clear mark of social progress, one measured in millions of girls’ lives saved. And maybe one Father’s Day, not too long from now, we’ll reach the point where daughters and sons are simply children: equally loved and equally welcomed.A version of this story originally appeared in the Good News newsletter. Sign up here!See More:

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.

You can trust VideoGamer. Our team of gaming experts spend hours testing and reviewing the latest games, to ensure you're reading the most comprehensive guide possible. Rest assured, all imagery and advice is unique and original. Check out how we test and review games here PlayStation’s annoying regional restrictions on PC games have proved infuriating for gamers all across the world. While most gamers were unaffected, those in some regions found themselves unable to play games like Helldivers 2 and other titles due to the restrictions.  Thankfully, after months of complaints, it appears that PlayStation is finally removing the regional restrictions of its PC releases for a large number of countries. However, not every title has been altered at the time of writing.  Regional restrictions removed from Helldivers 2 and more  As spotted by players online (thanks, Wario64), a number of Steam database updates have changed the regional restrictions of PlayStation games on PC.  Games such as Helldivers 2, Spider-Man 2, God of War: Ragnarok and The Last of Us: Part 2 are now available to purchase in a large number of additional countries. The change appears to be rolling out to PlayStation PC releases at the time of writing. It’s been a long time coming, and the introduction of the restrictions last year was a huge controversy for the company. Since the restrictions were put in place, players who previously purchased Helldivers 2 were unable to play the title online without a VPN.  Additionally, Ghost of Tsushima could be played in a number of countries, but its Legends multiplayer mode was inaccessible due to the regional issues.  Honestly, PlayStation should’ve removed these restrictions far quicker than they initially did. However, the phrase “better late than never” exists for a reason, and we’re happy that more gamers around the world are no longer punished for simply being born in a different country.  For more PlayStation news, read the company’s recent comments about the next generation PlayStation 6 console. Additionally, read about potential PS Plus price increases that could be on the way as the company aims to “maximise profitability”.  Helldivers 2 Platform(s): PC, PlayStation 5 Genre(s): Action, Shooter, Third Person 8 VideoGamer Subscribe to our newsletters! By subscribing, you agree to our Privacy Policy and may receive occasional deal communications; you can unsubscribe anytime. Share

html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd" 19 shortlisted projects for the 2025 Award cycle were revealed by the Aga Khan Award for Architecture (AKAA). A portion of the $1 million prize, one of the biggest in architecture, will be awarded to the winning proposals. Out of the 369 projects nominated for the 16th Award Cycle (2023-2025), an independent Master Jury chose the 19 shortlisted projects from 15 countries.The nine members of the Master Jury for the 16th Award cycle include Azra Akšamija, Noura Al-Sayeh Holtrop, Lucia Allais, David Basulto, Yvonne Farrell, Kabage Karanja, Yacouba Konaté, Hassan Radoine, and Mun Summ Wong.His Late Highness Prince Karim Aga Khan IV created the Aga Khan Award for Architecture in 1977 to recognize and promote architectural ideas that effectively meet the needs and goals of communities where Muslims are a major population. Nearly 10,000 construction projects have been documented since the award's inception 48 years ago, and 128 projects have been granted it. The AKAA's selection method places a strong emphasis on architecture that stimulates and responds to people's cultural ambitions in addition to meeting their physical, social, and economic demands.The Aga Khan Award for Architecture is governed by a Steering Committee chaired by His Highness the Aga Khan. The other members of the Steering Committee are Meisa Batayneh, Principal Architect, Founder, maisam architects and engineers, Amman, Jordan; Souleymane Bachir Diagne, Professor of Philosophy and Francophone Studies, Columbia University, New York, United States of America; Lesley Lokko, Founder & Director, African Futures Institute, Accra, Ghana; Gülru Necipoğlu, Director and Professor, Aga Khan Program for Islamic Architecture, Harvard University, Cambridge, United States of America; Hashim Sarkis, Founder & Principal, Hashim Sarkis Studios (HSS); Dean, School of Architecture and Planning, Massachusetts Institute of Technology, Cambridge, United States of America; and Sarah M. Whiting, Partner, WW Architecture; Dean and Josep Lluís Sert Professor of Architecture, Graduate School of Design, Harvard University, Cambridge, United States of America. Farrokh Derakhshani is the Director of the Award.Examples of outstanding architecture in the areas of modern design, social housing, community development and enhancement, historic preservation, reuse and area conservation, landscape design, and environmental enhancement are recognized by the Aga Khan Award for Architecture.Building plans that creatively utilize local resources and relevant technologies, as well as initiatives that could spur such initiatives abroad, are given special consideration. It should be mentioned that in addition to honoring architects, the Award also recognizes towns, builders, clients, master craftspeople, and engineers who have contributed significantly to the project.Projects had to be completed between January 1, 2018, and December 31, 2023, and they had to have been operational for a minimum of one year in order to be eligible for consideration in the 2025 Award cycle. The Award is not available for projects that His Highness the Aga Khan or any of the Aga Khan Development Network (AKDN) institutions have commissioned.See the 19 shortlisted projects with their short project descriptions competing for the 2025 Award Cycle:Khudi Bari. Image © Aga Khan Trust for Culture / City Syntax (F. M. Faruque Abdullah Shawon, H. M. Fozla Rabby Apurbo)BangladeshKhudi Bari, in various locations, by Marina Tabassum ArchitectsMarina Tabassum Architects' Khudi Bari, which can be readily disassembled and reassembled to suit the needs of the users, is a replicable solution for displaced communities impacted by geographic and climatic changes.West Wusutu Village Community Centre. Image © Aga Khan Trust for Culture / Dou Yujun (photographer)ChinaWest Wusutu Village Community Centre, Hohhot, Inner Mongolia, by Zhang PengjuIn addition to meeting the religious demands of the local Hui Muslims, Zhang Pengju's West Wusutu Village Community Centre in Hohhot, Inner Mongolia, offers social and cultural spaces for locals and artists. Constructed from recycled bricks, it features multipurpose indoor and outdoor areas that promote communal harmony.Revitalisation of Historic Esna. Image © Aga Khan Trust for Culture / Ahmed Salem (photographer)EgyptRevitalisation of Historic Esna, by Takween Integrated Community DevelopmentBy using physical interventions, socioeconomic projects, and creative urban planning techniques, Takween Integrated Community Development's Revitalization of Historic Esna tackles the issues of cultural tourism in Upper Egypt and turns the once-forgotten area around the Temple of Khnum into a thriving historic city.The Arc at Green School. Image © Aga Khan Trust for Culture / Andreas Perbowo Widityawan (photographer)IndonesiaThe Arc at Green School, in Bali, by IBUKU / Elora HardyAfter 15 years of bamboo experimenting at the Green School Bali, IBUKU/Elora Hardy created The Arc at Green School. The Arc is a brand-new community wellness facility built on the foundations of a temporary gym. High-precision engineering and regional handicraft are combined in this construction.Islamic Centre Nurul Yaqin Mosque. Image © Aga Khan Trust for Culture / Andreas Perbowo Widityawan (photographer)IndonesiaIslamic Centre Nurul Yaqin Mosque, in Palu, Central Sulawesi, by Dave Orlando and Fandy GunawanDave Orlando and Fandy Gunawan built the Islamic Center Nurul Yaqin Mosque in Palu, Central Sulawesi, on the location of a previous mosque that was damaged by a 2018 tsunami. There is a place for worship and assembly at the new Islamic Center. Surrounded by a shallow reflecting pool that may be drained to make room for more guests, it is open to the countryside.Microlibrary Warak Kayu. Image © Aga Khan Trust for Culture / Andreas Perbowo Widityawan (photographer)IndonesiaMicrolibraries in various cities, by SHAU / Daliana Suryawinata, Florian HeinzelmannFlorian Heinzelmann, the project's initiator, works with stakeholders at all levels to provide high-quality public spaces in a number of Indonesian parks and kampungs through microlibraries in different towns run by SHAU/Daliana Suryawinata. So far, six have been constructed, and by 2045, 100 are planned.Majara Residence. Image © Aga Khan Trust for Culture / Deed Studio (photographer)IranMajara Complex and Community Redevelopment, in Hormuz Island by ZAV Architects / Mohamadreza GhodousiThe Majara Complex and Community Redevelopment on Hormuz Island, designed by ZAV Architects and Mohamadreza Ghodousi, is well-known for its vibrant domes that offer eco-friendly lodging for visitors visiting Hormuz's distinctive scenery. In addition to providing new amenities for the islanders who visit to socialize, pray, or utilize the library, it was constructed by highly trained local laborers.Jahad Metro Plaza. Image © Aga Khan Trust for Culture / Deed Studio (photographer)IranJahad Metro Plaza in Tehran, by KA Architecture StudioKA Architecture Studio's Jahad Metro Plaza in Tehran was constructed to replace the dilapidated old buildings. It turned the location into a beloved pedestrian-friendly landmark. The arched vaults, which are covered in locally manufactured brick, vary in height to let air and light into the area they are protecting.Khan Jaljulia Restoration. Image © Aga Khan Trust for Culture / Mikaela Burstow (photographer)IsraelKhan Jaljulia Restoration in Jaljulia by Elias KhuriElias Khuri's Khan Jaljulia Restoration is a cost-effective intervention set amidst the remnants of a 14th-century Khan in Jaljulia. By converting the abandoned historical location into a bustling public area for social gatherings, it helps the locals rediscover their cultural history.Campus Startup Lions. Image © Aga Khan Trust for Culture / Christopher Wilton-Steer (photographer)KenyaCampus Startup Lions, in Turkana by Kéré ArchitectsKéré Architecture's Campus Startup Lions in Turkana is an educational and entrepreneurial center that offers a venue for community involvement, business incubation, and technology-driven education. The design incorporates solar energy, rainwater harvesting, and tall ventilation towers that resemble the nearby termite mounds, and it was constructed using local volcanic stone.Lalla Yeddouna Square. Image © Aga Khan Trust for Culture / Amine Houari (photographer)MoroccoRevitalisation of Lalla Yeddouna Square in the medina of Fez, by Mossessian Architecture and Yassir Khalil StudioMossessian Architecture and Yassir Khalil Studio's revitalization of Lalla Yeddouna Square in the Fez medina aims to improve pedestrian circulation and reestablish a connection to the waterfront. For the benefit of locals, craftspeople, and tourists from around the globe, existing buildings were maintained and new areas created.Vision Pakistan. Image © Aga Khan Trust for Culture / Usman Saqib Zuberi (photographer)PakistanVision Pakistan, in Islamabad by DB Studios / Mohammad Saifullah SiddiquiA tailoring training center run by Vision Pakistan, a nonprofit organization dedicated to empowering underprivileged adolescents, is located in Islamabad by DB Studios/Mohammad Saifullah Siddiqui. Situated in a crowded neighborhood, this multi-story building features flashy jaalis influenced by Arab and Pakistani crafts, echoing the city's 1960s design.Denso Hall Rahguzar Project. Image © Aga Khan Trust for Culture / Usman Saqib Zuberi (photographer)PakistanDenso Hall Rahguzar Project, in Karachi by Heritage Foundation Pakistan / Yasmeen LariThe Heritage Foundation of Pakistan/Yasmeen Lari's Denso Hall Rahguzar Project in Karachi is a heritage-led eco-urban enclave that was built with low-carbon materials in response to the city's severe climate, which is prone to heat waves and floods. The freshly planted "forests" are irrigated by the handcrafted terracotta cobbles, which absorb rainfall and cool and purify the air.Wonder Cabinet. Image © Aga Khan Trust for Culture / Mikaela Burstow (photographer)PalestineWonder Cabinet, in Bethlehem by AAU AnastasThe architects at AAU Anastas established Wonder Cabinet, a multifunctional, nonprofit exhibition and production venue in Bethlehem. The three-story concrete building was constructed with the help of regional contractors and artisans, and it is quickly emerging as a major center for learning, design, craft, and innovation.The Ned. Image © Aga Khan Trust for Culture / Cemal Emden (photographer)QatarThe Ned Hotel, in Doha by David Chipperfield ArchitectsThe Ministry of Interior was housed in the Ned Hotel in Doha, which was designed by David Chipperfield Architects. Its Middle Eastern brutalist building was meticulously transformed into a 90-room boutique hotel, thereby promoting architectural revitalization in the region.Shamalat Cultural Centre. Image © Aga Khan Trust for Culture / Hassan Al Shatti (photographer)Saudi ArabiaShamalat Cultural Centre, in Riyadh, by Syn Architects / Sara Alissa, Nojoud AlsudairiOn the outskirts of Diriyah, the Shamalat Cultural Centre in Riyadh was created by Syn Architects/Sara Alissa, Nojoud Alsudairi. It was created from an old mud home that artist Maha Malluh had renovated. The center, which aims to incorporate historic places into daily life, provides a sensitive viewpoint on heritage conservation in the area by contrasting the old and the contemporary.Rehabilitation and Extension of Dakar Railway Station. Image © Aga Khan Trust for Culture / Sylvain Cherkaoui (photographer)SenegalRehabilitation and Extension of Dakar Railway Station, in Dakar by Ga2DIn order to accommodate the passengers of a new express train line, Ga2D extended and renovated Dakar train Station, which purposefully contrasts the old and modern buildings. The forecourt was once again open to pedestrian traffic after vehicular traffic was limited to the rear of the property.Rami Library. Image © Aga Khan Trust for Culture / Cemal Emden (photographer)TürkiyeRami Library, by Han Tümertekin Design & ConsultancyThe largest library in Istanbul is the Rami Library, designed by Han Tümertekin Design & Consultancy. It occupied the former Rami Barracks, a sizable, single-story building with enormous volumes that was constructed in the eighteenth century. In order to accommodate new library operations while maintaining the structure's original spatial features, a minimal intervention method was used.Morocco Pavilion Expo Dubai 2020. Image © Aga Khan Trust for Culture / Deed Studio (photographer)United Arab EmiratesMorocco Pavilion Expo Dubai 2020, by Oualalou + ChoiOualalou + Choi's Morocco Pavilion Expo Dubai 2020 is intended to last beyond Expo 2020 and be transformed into a cultural center. The pavilion is a trailblazer in the development of large-scale rammed earth building techniques. Its use of passive cooling techniques, which minimize the need for mechanical air conditioning, earned it the gold LEED accreditation.At each project location, independent professionals such as architects, conservation specialists, planners, and structural engineers have conducted thorough evaluations of the nominated projects. This summer, the Master Jury convenes once more to analyze the on-site evaluations and choose the ultimate Award winners.The top image in the article: The Arc at Green School. Image © Aga Khan Trust for Culture / Andreas Perbowo Widityawan (photographer).> via Aga Khan Award for Architecture

Barbara Betlejewska is a PR consultant and manager with extensive experience in architecture and real estate, currently involved with World Visualization Festival, a global event bringing together CGI and digital storytelling professionals for 3 days of presentations, workshops, and networking in Warsaw, Poland, this October. Over the last twenty years, visualization and 3D rendering have evolved from supporting tools to become central pillars of architectural storytelling, design development, and marketing across various industries. As digital technologies have advanced, the landscape of creative work has changed dramatically. Artists can now collaborate with clients worldwide without leaving their homes, and their careers can flourish without ever setting foot in a traditional studio. In this hyper-connected world, where access to knowledge, clients, and inspiration is just a click away, do we still need to gather in person? Do conferences, festivals and meetups in the CGI and architectural visualization world still carry weight? The People Behind the Pixels Professionals from the visualization industry exchanging ideas at WVF 2024. For a growing number of professionals — especially those in creative and tech-driven fields — remote work has become the norm. The shift to digital workflows, accelerated by the pandemic, has brought freedom and flexibility that many are reluctant to give up. It’s easier than ever to work for clients in distant cities or countries, to build a freelance career from a laptop, or to pursue the lifestyle of a digital nomad. On the surface, it is a broadening of horizons. But for many, the freedom of remote work comes with a cost: isolation. For visualization artists, the reality often means spending long hours alone, rarely interacting face-to-face with peers or collaborators. And while there are undeniable advantages to independent work, the lack of human connection can lead to creative stagnation, professional burnout, and a sense of detachment from the industry as a whole. Despite being a highly technical and often solitary craft, visualization and CGI thrive on the exchange of ideas, feedback and inspiration. The tools and techniques evolve rapidly, and staying relevant usually means learning not just from tutorials but from honest conversations with others who understand the nuances of the field. A Community in the Making Professionals from the visualization industry exchanging ideas at WVF 2024. That need for connection is what pushed Michał Nowak, a Polish visualizer and founder of Nowak Studio, to organize Poland’s first-ever architectural visualization meetup in 2017. With no background in event planning, he wasn’t sure where to begin, but he knew something was missing. The Polish Arch Viz scene lacked a shared space for meetings, discussions, and idea exchange. Michał wanted more than screen time; he wanted honest conversations, spontaneous collaboration and a chance to grow alongside others in the field. What began as a modest gathering quickly grew into something much bigger. That original meetup evolved into what is now the World Visualization Festival (WVF), an international event that welcomes artists from across Europe and beyond. “I didn’t expect our small gathering to grow into a global festival,” Michał says. “But I knew I wanted a connection. I believed that through sharing ideas and experiences, we could all grow professionally, creatively, and personally. And that we’d enjoy the journey more.” The response was overwhelming. Each year, more artists from across Poland and Europe join the event in Wrocław, located in south-western Poland. Michał also traveled to other festivals in countries like Portugal and Austria, where he observed the same thing: a spirit of openness, generosity, and shared curiosity. No matter the country or the maturity of the market, the needs were the same — people wanted to connect, learn and grow. And beyond the professional side, there was something else: joy. These events were simply fun. They were energizing. They gave people a reason to step away from their desks and remember why they love what they do. The Professional Benefits Hands-on learning at the AI-driven visualization workshop in Warsaw, October 2024. The professional benefits of attending industry events are well documented. These gatherings provide access to mentorship, collaboration and knowledge that can be challenging to find online. Festivals and industry meetups serve as platforms for emerging trends, new tools and fresh workflows — often before they hit the mainstream. They’re places where ideas collide, assumptions are challenged and growth happens. The range of topics covered at such events is broad, encompassing everything from portfolio reviews and in-depth discussions of particular rendering engines to discussions about pricing your work and building a sustainable business. At the 2024 edition of the World Visualization Festival, panels focused on scaling creative businesses and navigating industry rates drew some of the biggest crowds, proving that artists are hungry for both artistic and entrepreneurial insights. Being part of a creative community also shapes professional identity. It’s not just about finding clients — it’s about finding your place. In a field as fast-moving and competitive as Arch Viz, connection and conversation aren’t luxuries. They’re tools for survival. There’s also the matter of building your social capital. Online interactions can only go so far. Meeting someone in person builds relationships that stick. The coffee-break conversations, the spontaneous feedback — these are the moments that cement a community and have the power to spark future projects or long-lasting partnerships. This usually doesn’t happen in Zoom calls. And let’s not forget the symbolic power of events like industry awards, such as the Architizer’s Vision Awards or CGArchitect’s 3D Awards. These aren’t just celebrations of talent; they’re affirmations of the craft itself. They contribute to the growth and cohesion of the industry while helping to establish and promote best practices. These events clearly define the role and significance of CGI and visualization as a distinct profession, positioned at the intersection of architecture, marketing, and sales. They advocate for the field to be recognized on its own terms, not merely as a support service, but as an independent discipline. For its creators, they bring visibility, credit, and recognition — elements that inspire growth and fuel motivation to keep pushing the craft forward. Occasions like these remind us that what we do has actual value, impact and meaning. The Energy We Take Home The WVF 2024 afterparty provided a vibrant space for networking and celebration in Warsaw. Many artists describe the post-event glow: a renewed sense of purpose, a fresh jolt of energy, an eagerness to get back to work. Sometimes, new projects emerge, new clients appear, or long-dormant ideas finally gain momentum. These events aren’t just about learning — they’re about recharging. One of the most potent moments of last year’s WVF was a series of talks focused on mental health and creative well-being. Co-organized by Michał Nowak and the Polish Arch Viz studio ELEMENT, the festival addressed the emotional realities of the profession, including burnout, self-doubt, and the pressure to constantly produce. These conversations resonated deeply because they were real. Seeing that others face the same struggles — and come through them — is profoundly reassuring. Listening to someone share a business strategy that worked, or a failure they learned from, turns competition into camaraderie. Vulnerability becomes strength. Shared experiences become the foundation of resilience. Make a Statement. Show up! Top industry leaders shared insights during presentations at WVF 2024 In an era when nearly everything can be done online, showing up in person is a powerful statement. It says: I want more than just efficiency. I want connection, creativity and conversation. As the CGI and visualization industries continue to evolve, the need for human connection hasn’t disappeared — it’s grown stronger. Conferences, festivals and meetups, such as World Viz Fest, remain vital spaces for knowledge sharing, innovation and community building. They give us a chance to reset, reconnect and remember that we are part of something bigger than our screens. So, yes, despite the tools, the bandwidth, and the ever-faster workflows, we still need to meet in person. Not out of nostalgia, but out of necessity. Because, no matter how far technology takes us, creativity remains a human endeavor. Architizer’s Vision Awards are back! The global awards program honors the world’s best architectural concepts, ideas and imagery. Start your entry ahead of the Final Entry Deadline on July 11th.  The post Building an Architectural Visualization Community: The Case for Physical Gatherings appeared first on Journal.

Credit: Seth Herald/AFP via Getty Images TL;DR: Live stream USA vs. Trinidad and Tobago in the 2025 Concacaf Gold Cup for free on YouTube. Access this free live stream from anywhere in the world with ExpressVPN.The 2025 Concacaf Gold Cup is starting with a number of really interesting fixtures, including USA vs. Trinidad and Tobago. Things have been pretty rough for USA recently, but they'll be hoping to start afresh in this special tournament. The opening game against Trinidad and Tobago is going to be tricky, but USA will be confident of progressing through the group stage.If you want to watch USA vs. Trinidad and Tobago in the 2025 Concacaf Gold Cup for free from anywhere in the world, we have all the information you need. You May Also Like When is USA vs. Trinidad and Tobago?USA vs. Trinidad and Tobago in the 2025 Concacaf Gold Cup kicks off at 6 p.m. ET on June 15. This fixture takes place at PayPal Park.How to watch USA vs. Trinidad and Tobago for freeUSA vs. Trinidad and Tobago in the 2025 Concacaf Gold Cup is available to live stream for free on YouTube. Mashable Top Stories Stay connected with the hottest stories of the day and the latest entertainment news. Sign up for Mashable's Top Stories newsletter By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up! These free live stream is not available in North or Central America, but fans in excluded territories can still watch this game for free with a VPN. These tools can hide your real IP address (digital location) and connect you to a secure server in another location, meaning you can unblock free live streams of the Concacaf Gold Cup from anywhere in the world.Live stream the 2025 Concacaf Gold Cup for free by following these simple steps:Subscribe to a streaming-friendly VPN (like ExpressVPN)Download the app to your device of choice (the best VPNs have apps for Windows, Mac, iOS, Android, Linux, and more)Open up the app and connect to a server in the UKVisit YouTubeLive stream the 2025 Concacaf Gold Cup for free from anywhere in the world Opens in a new window Credit: ExpressVPN ExpressVPN (1-Month Plan) $12.95 only at ExpressVPN (with money-back guarantee) The best VPNs for streaming are not free, but most do offer free-trials or money-back guarantees. By leveraging these offers, you can watch the 2025 Concacaf Gold Cup without actually spending anything. This clearly isn't a long-term solution, but it does give you enough time to stream USA vs. Trinidad and Tobago (plus the rest of the tournament) before recovering your investment.If you want to retain permanent access to the best free streaming services from around the world, you'll need a subscription. Fortunately, the best VPN for streaming live sport is on sale for a limited time.What is the best VPN for YouTube?ExpressVPN is the best service for bypassing geo-restrictions to stream live sport on YouTube, for a number of reasons:Servers in 105 countriesEasy-to-use app available on all major devices including iPhone, Android, Windows, Mac, and moreStrict no-logging policy so your data is always secureFast connection speedsUp to eight simultaneous connections30-day money-back guaranteeA two-year subscription to ExpressVPN is on sale for $139 and includes an extra four months for free — 61% off for a limited time. This plan also includes a year of free unlimited cloud backup and a generous 30-day money-back guarantee. Alternatively, you can get a one-month plan for just $12.95 (including money-back guarantee).Live stream the 2025 Concacaf Gold Cup for free with ExpressVPN. Joseph Green Global Shopping Editor Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day.Joseph is also Executive Editor of Mashable's sister site, AskMen.

Sovereignty has mattered since the invention of the nation state—defined by borders, laws, and taxes that apply within and without. While many have tried to define it, the core idea remains: nations or jurisdictions seek to stay in control, usually to the benefit of those within their borders. Digital sovereignty is a relatively new concept, also difficult to define but straightforward to understand. Data and applications don’t understand borders unless they are specified in policy terms, as coded into the infrastructure. The World Wide Web had no such restrictions at its inception. Communitarian groups such as the Electronic Frontier Foundation, service providers and hyperscalers, non-profits and businesses all embraced a model that suggested data would look after itself. But data won’t look after itself, for several reasons. First, data is massively out of control. We generate more of it all the time, and for at least two or three decades (according to historical surveys I’ve run), most organizations haven’t fully understood their data assets. This creates inefficiency and risk—not least, widespread vulnerability to cyberattack. Risk is probability times impact—and right now, the probabilities have shot up. Invasions, tariffs, political tensions, and more have brought new urgency. This time last year, the idea of switching off another country’s IT systems was not on the radar. Now we’re seeing it happen—including the U.S. government blocking access to services overseas. Digital sovereignty isn’t just a European concern, though it is often framed as such. In South America for example, I am told that sovereignty is leading conversations with hyperscalers; in African countries, it is being stipulated in supplier agreements. Many jurisdictions are watching, assessing, and reviewing their stance on digital sovereignty. As the adage goes: a crisis is a problem with no time left to solve it. Digital sovereignty was a problem in waiting—but now it’s urgent. It’s gone from being an abstract ‘right to sovereignty’ to becoming a clear and present issue, in government thinking, corporate risk and how we architect and operate our computer systems. What does the digital sovereignty landscape look like today? Much has changed since this time last year. Unknowns remain, but much of what was unclear this time last year is now starting to solidify. Terminology is clearer – for example talking about classification and localisation rather than generic concepts. We’re seeing a shift from theory to practice. Governments and organizations are putting policies in place that simply didn’t exist before. For example, some countries are seeing “in-country” as a primary goal, whereas others (the UK included) are adopting a risk-based approach based on trusted locales. We’re also seeing a shift in risk priorities. From a risk standpoint, the classic triad of confidentiality, integrity, and availability are at the heart of the digital sovereignty conversation. Historically, the focus has been much more on confidentiality, driven by concerns about the US Cloud Act: essentially, can foreign governments see my data? This year however, availability is rising in prominence, due to geopolitics and very real concerns about data accessibility in third countries. Integrity is being talked about less from a sovereignty perspective, but is no less important as a cybercrime target—ransomware and fraud being two clear and present risks. Thinking more broadly, digital sovereignty is not just about data, or even intellectual property, but also the brain drain. Countries don’t want all their brightest young technologists leaving university only to end up in California or some other, more attractive country. They want to keep talent at home and innovate locally, to the benefit of their own GDP. How Are Cloud Providers Responding? Hyperscalers are playing catch-up, still looking for ways to satisfy the letter of the law whilst ignoring (in the French sense) its spirit. It’s not enough for Microsoft or AWS to say they will do everything they can to protect a jurisdiction’s data, if they are already legally obliged to do the opposite. Legislation, in this case US legislation, calls the shots—and we all know just how fragile this is right now. We see hyperscaler progress where they offer technology to be locally managed by a third party, rather than themselves. For example, Google’s partnership with Thales, or Microsoft with Orange, both in France (Microsoft has similar in Germany). However, these are point solutions, not part of a general standard. Meanwhile, AWS’ recent announcement about creating a local entity doesn’t solve for the problem of US over-reach, which remains a core issue. Non-hyperscaler providers and software vendors have an increasingly significant play: Oracle and HPE offer solutions that can be deployed and managed locally for example; Broadcom/VMware and Red Hat provide technologies that locally situated, private cloud providers can host. Digital sovereignty is thus a catalyst for a redistribution of “cloud spend” across a broader pool of players. What Can Enterprise Organizations Do About It? First, see digital sovereignty as a core element of data and application strategy. For a nation, sovereignty means having solid borders, control over IP, GDP, and so on. That’s the goal for corporations as well—control, self-determination, and resilience. If sovereignty isn’t seen as an element of strategy, it gets pushed down into the implementation layer, leading to inefficient architectures and duplicated effort. Far better to decide up front what data, applications and processes need to be treated as sovereign, and defining an architecture to support that. This sets the scene for making informed provisioning decisions. Your organization may have made some big bets on key vendors or hyperscalers, but multi-platform thinking increasingly dominates: multiple public and private cloud providers, with integrated operations and management. Sovereign cloud becomes one element of a well-structured multi-platform architecture. It is not cost-neutral to deliver on sovereignty, but the overall business value should be tangible. A sovereignty initiative should bring clear advantages, not just for itself, but through the benefits that come with better control, visibility, and efficiency. Knowing where your data is, understanding which data matters, managing it efficiently so you’re not duplicating or fragmenting it across systems—these are valuable outcomes. In addition, ignoring these questions can lead to non-compliance or be outright illegal. Even if we don’t use terms like ‘sovereignty’, organizations need a handle on their information estate. Organizations shouldn’t be thinking everything cloud-based needs to be sovereign, but should be building strategies and policies based on data classification, prioritization and risk. Build that picture and you can solve for the highest-priority items first—the data with the strongest classification and greatest risk. That process alone takes care of 80–90% of the problem space, avoiding making sovereignty another problem whilst solving nothing. Where to start? Look after your own organization first Sovereignty and systems thinking go hand in hand: it’s all about scope. In enterprise architecture or business design, the biggest mistake is boiling the ocean—trying to solve everything at once. Instead, focus on your own sovereignty. Worry about your own organization, your own jurisdiction. Know where your own borders are. Understand who your customers are, and what their requirements are. For example, if you’re a manufacturer selling into specific countries—what do those countries require? Solve for that, not for everything else. Don’t try to plan for every possible future scenario. Focus on what you have, what you’re responsible for, and what you need to address right now. Classify and prioritise your data assets based on real-world risk. Do that, and you’re already more than halfway toward solving digital sovereignty—with all the efficiency, control, and compliance benefits that come with it. Digital sovereignty isn’t just regulatory, but strategic. Organizations that act now can reduce risk, improve operational clarity, and prepare for a future based on trust, compliance, and resilience. The post Reclaiming Control: Digital Sovereignty in 2025 appeared first on Gigaom.

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]