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A.J. Juliani has been leading cohorts of educators and administrators to learn how to build data dashboards that improve student learning. I love how he focuses on the human aspect of learning. In today's show, we'll talk through the "interview mode" of using AI that is so powerful in addition to using data to improve the experience of school for our learners and teachers. We'll talk about personally identifiable information, the importance of removing it, and some tips and tricks for interacting with AI to generate data dashboards and other tools of your choice.
Teaching creativity is not an "extra" that is just for art, theater, or woodshop. As teachers, we can learn how the four branches of creativity are applied in math, science, and engineering and how creativity gives us an edge in today's world.
Plus: SK Telecom is creating an AI data-center company backed by KKR. And Thinking Machines Lab co-founder Barret Zoph rejoins Google. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Relaunch week of AI in the AM brings together highlights from four live mornings and nine guests, centered on who checks frontier AI, how wide the gap is between lab-internal systems and public access, where capabilities are landing, and who pays for the physical infrastructure beneath them. Adam Gleave of FAR.AI argues that agent-orchestrated attacks and agentic defenses are already forcing humans out of the loop, while current monitoring has missed the failures it was meant to catch. The discussion weighs misuse versus misalignment through cyber incidents, deceptive agent behavior in evaluations, safeguards like pretraining filtering, and why highly bio-capable open-weight releases pose a different kind of irreversible risk. Alex Turner adds a governance and military-use perspective from his resignation account at Google DeepMind, sharpening the stakes around independent evaluation, enforceable standards, and whether frontier labs can be trusted to grade their own models. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-in-the-am-weekly-highlights-relaunch-week-aug-17-20-2026/ Sponsors: Diffusion: Diffusion helps organizations build custom AI software factories that scale business outcomes, not just outputs. Cognitive Revolution listeners get a 25% service credit on their first engagement at https://diffusion.io/tcr Granola: Granola is an AI-powered notepad that securely transcribes meetings and turns rough notes into clean, structured action items. Try it free at https://granola.ai/tcr Deepgram Flux TTS: Deepgram Flux TTS brings lifelike AI voices with real personalities that handle interruptions, pauses, and natural conversation. Try all the voices free through September 12 at https://deepgram.com/keep-talking Claude: Claude is the AI collaborator for problem solvers, helping with writing, coding, financial models, strategy, and more. Get started with Claude and explore Claude Pro at https://claude.ai/tcr CHAPTERS: (00:01) Checking frontier agents (07:40) Misalignment and harms (Part 1) (12:52) Sponsors: Diffusion | Granola (15:49) Misalignment and harms (Part 2) (19:20) Auditing fragile access (Part 1) (27:38) Sponsors: Deepgram Flux TTS | Claude (29:43) Auditing fragile access (Part 2) (29:59) Military AI red lines (44:58) Raising safety standards (53:50) Internal capability gap (01:05:06) Enterprise agent economics (01:18:27) Cancer vaccines arrive (01:23:48) Emergency AI tools (01:28:59) Real time voice (01:37:51) App layer squeeze (01:44:52) Data center politics (01:52:31) Accounting agent supervision (02:06:25) Compute stack bottlenecks (02:19:47) Public consent pricing (02:28:12) Episode Outro (02:31:38) Outro PRODUCED BY: https://aipodcast.ing
Summary In this episode, Andy sits down with Johan Roos, professor and executive advisor at Hult International Business School, Executive Director of the Peter Drucker Society Europe, and co-inventor of the LEGO® Serious Play® method. Johan is the author of Human Magic: Leading with Wisdom in an Age of Algorithms, and he has spent decades studying how people think, create, decide, and lead together. Andy and Johan explore the two paths Johan calls erosion and amplification, starting with a question Andy has been wrestling with as he hands more of his manual driving over to Tesla's self-driving. You'll hear what an eroding project manager actually looks like day-to-day, why practical wisdom matters when the analytically optimal answer is not the wisest one, and how AI feeds one kind of curiosity, the laser, while starving another, the radar. Johan also explains the difference between becoming an AI concierge and practicing what he calls professional citizenship, and he shares what parents can do to help their kids hold onto the messy, hands-on curiosity that machines cannot supply. If you're looking for a thoughtful, hopeful way to use AI without surrendering your judgment, this episode is for you! Sound Bites "Almost every good idea I've had was not in front of the screen." "I know what to do, but I've stopped understanding why.".... The eroding project management can no longer explain the why." "So in a sense, they argue that the better the system, the stronger pull down the erosion curve." "So the message is really when the machines are taking over more and more of some of these subtle, very valuable capabilities we have, we have to climb the value creation ladder." "So a complexity is exactly where our wisdom gets exposed." "So every metric said fantastic, but nobody asked why, and is this right?" "If AI can write a document that is important to you, the document was never where the value lived." "But we just have to be careful to not sort of delegate too much of our brain power and sort of erode our jelly bean." "When you lean back and you haven't struggled enough, you may be super smart and, and the best brilliant individual in the world, but, you know, friction is good." "Are you able to argue for your case without holding on to the AI-produced slide?" "Protect the wandering curiosity, unstructured exploration, questions with no immediate payoff, the freedom to follow something nowhere in particular." Chapters 00:00 Introduction 02:35 Start of Interview 02:44 Growing Up Inquisitive and the Power of "Because" 06:04 Self-Driving Cars, GPS, and the Erosion of Our Abilities 10:31 Becoming an Active Supervisor Instead of a Passive Passenger 13:55 What an Eroding Project Manager Looks Like Day to Day 18:52 When the Optimal Answer Is Not the Wisest One 22:03 Intuition, Gut Feel, and When Something Does Not Smell Right 25:54 The Laser and the Radar: Two Kinds of Curiosity 27:52 Creating Independently Before Consulting AI 30:44 What Happens in the AI-Free Time 35:18 Is It Intuition or Is It Ego? 37:48 Turning the Models Loose on His Own Book 40:00 Asking AI to Be Brutally Honest 41:02 AI Concierge Versus Professional Citizenship 45:51 Advice for Parents Raising Kids in the Age of AI 49:26 Staying Human: Theater, Walks, and Getting Your Hands Dirty 50:44 End of Interview 51:15 Andy Comments After the Interview 54:46 Outtakes Learn More You can learn more about Johan and his work at humanmagic.one. For more learning on this topic, check out: Episode 500 with Steve Brown. Steve is a former Google DeepMind futurist, and he has a unique perspective on where we've been and where we're going with AI. Episode 479 with Matt Mong. Matt shares his take on the AI skills we need to stay relevant in the years to come. Episode 463 with Faisal Hoque. Faisal helps us go beyond the fear and the hype around AI to a helpful way to think about the human-AI relationship. Chat with PMeLa You can chat directly with PMeLa, the podcast's AI persona, to get episode recommendations and answers to your project management and leadership questions. Visit PeopleAndProjectsPodcast.com/PMeLa to chat with her. Join Us for LEAD52 I know you want to be a more confident leader–that's why you listen to this podcast. LEAD52 is a global community of people like you who are committed to transforming their ability to lead and deliver. It's 52 weeks of leadership learning, delivered right to your inbox, taking less than 5 minutes a week. And it's all for free. Learn more and sign up at GetLEAD52.com. Thanks! Thank you for joining me for this episode of The People and Projects Podcast! Talent Triangle: Business Acumen Topics: Leadership, Project Management, Artificial Intelligence, Practical Wisdom, Curiosity, Critical Thinking, Creativity, Decision Making, Judgment, Professional Development, Human Skills, Parenting The following music was used for this episode: Music: Echo by Alexander Nakarada License (CC BY 4.0): https://filmmusic.io/standard-license Music: Chillhouse by Frank Schroeter License (CC BY 4.0): https://filmmusic.io/standard-license
Live from a Portuguese bar annex, Chad and Joel crack open a cold cider and fire up "HR's Most Dangerous Podcast" to roast the absolute state of modern recruiting. Before tackling the tech industry's worst ideas, the boys review hostage-style movie clips, swap obscure band recommendations, and pitch a Spaceballs 2 sponsorship. The SaaS-pocalypse Comes for Workday: Private equity behemoth Silver Lake is eyeing a $51B buyout of Workday. Google's Resume Garbage Can: Leaked documents show Google DeepMind's AI screening tool is rejecting qualified applicants at random, forcing frustrated hiring managers to set up illegal human-only shortcuts around their own TA department. Gen Z's AI Penalty: Stanford research shows a 19% drop in entry-level hiring for AI-exposed roles. Babysitting the Machine at Walmart: Store associates are now tasked with cleaning up after Walmart's AI. Indeed's Desperate Marketing Pivot: Indeed's CMO claims targeting passive job seekers at soccer matches is a "revolutionary" new strategy. Really? Chapters 00:00 - Intro and Episode Overview 03:45 - Review of the Odyssey and movie expectations 07:43 - Changes in media consumption and radio 09:54 - New music discoveries and bands 11:21 - Music show segment and shout outs 12:26 - TA20 awards and AI professionals recognition 13:25 - Upcoming events and travel plans 20:32 - Private equity buyout talks with Workday 21:50 - Implications of PE acquisition on Workday's culture and support 23:13 - The SAS apocalypse and AI's impact on SaaS companies 24:37 - Market valuation and PE acquisitions of software companies 28:38 - Google resume dumping and AI in HR 29:06 - Challenges of AI in recruitment and hiring processes 31:15 - The puppy analogy and AI's limitations 32:13 - The importance of human skills and adaptability 37:24 - AI's impact on youth employment and highly exposed occupations 40:00 - The need for experienced workers to train AI 41:32 - Future workforce and the importance of human skills 44:34 - Adapting to AI and the importance of continuous learning 46:35 - Walmart's AI implementation and employee trust issues 49:45 - The role of human nuance in AI and workplace tasks 52:57 - The importance of understanding complex tasks in AI deployment 54:29 - Indeed's new marketing strategy and market position 55:33 - Critique of Indeed's marketing and tech evolution 57:29 - Spaceballs 2 and industry humor 58:07 - Google and Indeed traffic decline signals 59:22 - The shift to old school marketing and candidate engagement 01:00:21 - The future of job search and AI-driven applications 01:01:18 - Humor and lighthearted closing remarks
Maarten Grootendorst, a developer relations engineer at Google DeepMind and co-author of Hands-On Large Language Models and An Illustrated Guide to AI Agents, joins Ben Lorica to explain the concepts developers need to understand beneath today's AI tools. Subscribe to the Gradient Flow Newsletter
P.M. Edition for Aug. 13. The U.S. is sending a fresh aircraft carrier to the Middle East amid growing concerns over living conditions aboard the carrier currently stationed there, the USS Abraham Lincoln. Plus, seven months into the U.S. energy blockade against Cuba, everyday people are struggling to sleep in the heat and to afford food as blackouts persist. We hear from Journal reporter José de Córdoba about what he is hearing from people across the country. And the proliferation of restaurant reservation apps have made it a nightmare for diners to get a table at a buzzy restaurant. Reporter Heather Haddon explains why restaurants keep doing business with the apps. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
This week Jason Howell and Jeff Jarvis break down Nvidia's partnership with six Wall Street firms to line up $500 billion in AI infrastructure financing, turning GPU chips into an investable asset class. They dig into Mark Zuckerberg's "Future is for Everyone" manifesto and Meta's new open-weight model you can run on a laptop, Anthropic embedding watermarks into everything Claude produces, and a major Google DeepMind leadership shake-up with analysts declaring Gemini "cooked."Also in this episode: the Pixel 11's AI camera features, a technique for reading what AI models actually think, UK venues banning Meta smart glasses, xAI's Grok Bot agent, OpenAI's hardware device plans, Nvidia's Nemotron open model, Cloudflare open-sourcing their agent platform, and Spotify labeling AI-generated artists. New episodes every Wednesday at aiinside.show. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00 - Start 0:03:14 - Zuckerberg: The Future is for Everyone 0:23:18 - Anthropic pledges to embed watermarks to help discern AI slop in sop to EU 0:23:50 - How Claude marks AI-generated content 0:41:21 - Nvidia, Wall Street Firms Strike AI Financing Deal Targeting $500 Billion 0:50:36 - Google's AI shake-up boosts Brin as DeepMind's Hassabis steps aside 0:50:40 - Google seeks a sharper focus in AI after Hassabis move 1:00:13 - Google's Pixel 11 lineup offers fewer hardware changes, but much more Gemini 1:09:52 - Jason goes hands on with the Pebble Index 01 1:14:34 - UK Venues Ban Meta Smart Glasses En Masse 1:15:11 - ‘I've definitely lost followers': influencers face backlash over Meta ‘pervert glasses' content 1:19:12 - OpenAI's New Device Will Be Hockey Puck-Sized and Cost Over $300 1:20:08 - Putting frontier cyber models in more trusted hands 1:21:40 - Cloudflare OS 1:24:17 - Nvidia Releases New Open Model 1:25:03 - Spotify to distinguish AI artists from real people – and stop recommending them Hosts: Jason Howell and Jeff Jarvis Download and subscribe to AI Inside in audio and video: https://aiinside.show/ Support the podcast on Patreon for special perks: https://www.patreon.com/aiinsideshow. You'll get ad-free episodes, members-only Discord, T-shirts and stickers you love, and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Learn more about your ad choices. Visit megaphone.fm/adchoices
Umelá inteligencia uniká z testovacích laboratórií a nový trend vibe codingu zaplavuje slovenské firmy.Kým sa firemné bezpečnostné tímy snažia vyrovnať s nekontrolovaným AI kódom a nečakanými únikmi pokročilých agentov, bojisko o ucelené pozemky pre dátové centrá mení obyčajné lúky na lukratívne miliónové lokality.Zároveň však prichádzajú aj fascinujúce technologické prielomy. OpenAI úspešne spája sily so svojím Codexom a prináša plnohodnotného agenta s režimom “Work” priamo do desktopovej verzie. Meteorologický model Weather Next od Google DeepMind navyše prepisuje históriu, keď dokáže predpovedať ničivé hurikány s bezprecedentným predstihom.O týchto, ale aj ďalších témach zo sveta umelej inteligencie, sa rozprávajú redaktori magazínu Živé.sk v novom vydaní podcastu PočúvAI.V podcaste sa dozviete aj o týchto témach:Prečo americká farmárka odmietla ponuku na 26 miliónov dolárov za predaj svojho pozemku pre dátové centrum a aké prísne kritériá musia lokality spĺňať.Ako testovaný systém modelov obišiel interné reštrikcie, využil nezdokumentované chyby a týždeň útočil na platformu Hugging Face.Ako modely v testoch britského inštitútu AIS infikovali open-source knižnice na GitHube škodlivým kódom, posielali phishingové maily a nechávali odkazy budúcim AI agentom.Aké vážne bezpečnostné riziká prináša kód vygenerovaný nadšenými zamestnancami a prečo majú ITčkári bezsenné noci.Ako funguje nový integrovaný desktopový agent a prečo by sme mali byť opatrní pri prideľovaní plných systémových práv na našich diskoch.Ako špecializovaný model s 80-percentnou istotou predpovedal vznik hurikánu Melissa 5 dní vopred a ako spracováva nekvalitné meteorologické dáta.Ďalšie detaily nájdete v článku: https://zive.aktuality.sk/clanok/vY7tzU0/ai-uteka-z-klietky-premotivovane-modely-hackuju-cudzie-firmy-a-google-meni-predpovedanie-pocasia-dalsie-novinky/ Podcast pripravuje magazín Živé.sk.
This week, we bounce from questionable kindergarten teaching techniques and a tour through old movies to a pile of upcoming sci-fi and superhero projects. Then, in Future or Now, AI gives hurricane forecasters a potentially huge advantage, NASA pulls off another bit of engineering wizardry to keep Voyager 2 alive, and the cast of The Pitt boldly goes where plenty of actors have gone before. Real Life Steven is officially over summer. Heat, summer schedules, summer in general—it's time to move on. Meanwhile, Ben has been watching OLD MOVIES, including Kindergarten Cop. Ben calls it an "exceptional film," but watching Arnold Schwarzenegger take control of a classroom in 2026 raises some questions. How would Detective John Kimble's teaching methods stack up against modern school employee safety training? How many policies would he violate before lunch? And perhaps most unsettling: just how old are all those kindergarteners today? That sends us down the inevitable road of examining an old movie through the lens of people who now have entirely too much experience with how schools actually operate. Steven also has a pile of upcoming genre television and movie news to talk about. Neuromancer is headed to Apple TV, while Blade Runner 2099 is coming as a limited series on Prime Video. San Diego Comic-Con also brought news about Ghost Rider and Black Panther 3, along with more X-Men casting news involving Cyclops, Emma Frost, Beast, and Professor X. Trailer Links: Neuromancer: Watch on YouTube Blade Runner 2099: Watch on YouTube Devon has been doing some family movie watching, working through the Jumanji movies and eventually arriving at Zathura. Technically part of the larger Jumanji family, Zathura doesn't quite live up to its predecessor. It doesn't help that Dax Shepard's character has to exist in the shadow of Robin Williams, which leads to the assessment that Shepard comes across as "a block of wood" by comparison. Things get considerably darker with The Long Walk, based on Stephen King's novel originally published under his Richard Bachman pseudonym. Devon found the adaptation interesting and well done—but extremely bleak. That conversation somehow takes a detour through Time Runner before eventually landing on Hokum and its supernatural layer. Future or Now AI Gets Better at Predicting Hurricanes Ben brings us a potentially enormous development in weather forecasting. Google DeepMind's WeatherNext AI system has demonstrated an ability to improve hurricane forecasts, potentially giving forecasters and emergency planners an additional day of warning. The system predicts both storm tracks and intensity and can rapidly generate thousands of possible scenarios. During Hurricane Melissa, it reportedly identified major intensification earlier than conventional forecasting models. That's potentially life-saving extra time for communities preparing for a major storm. But there's an interesting wrinkle: like many sophisticated AI systems, exactly how the model reaches some of its conclusions isn't always clear to the scientists using it. That makes WeatherNext another fascinating example of AI producing useful results while simultaneously raising questions about how much we need to understand a system before we're comfortable relying on it. And despite the improvement in modeling, humans aren't leaving the process. Meteorologists still have to interpret the information, communicate uncertainty, and turn forecasts into useful warnings for the public. Read the Ars Technica report on DeepMind's hurricane forecasting breakthrough This Week in Space: Voyager's "Big Bang" Nearly half a century after leaving Earth, Voyager 2 is still going, and NASA engineers are once again finding creative ways to keep it alive. In an operation nicknamed the "Big Bang," engineers simultaneously shut down power-hungry hardware and transitioned to lower-power alternatives while carefully keeping the spacecraft warm enough to survive. Voyager's dwindling power supply has forced NASA to make increasingly difficult decisions about which systems can remain operational, making every additional bit of usable energy precious. It's another remarkable chapter in a mission launched in 1977 that is still returning scientific data from interstellar space. Read more about the Voyager 2 operation at ScienceDaily Explore NASA's Voyager mission And while we're talking about space, we check back in on New Asgard and ask the important question: is Devon still going to space? The Pitt Goes to Star Trek Finally, there's an unusual crossover coming for fans of The Pitt and Star Trek. Noah Wyle and members of The Pitt cast are participating in a Star Trek table read benefiting the Writers Guild Foundation. It's not a new Trek series and it's not some bizarre medical-drama crossover episode—but it is an opportunity to hear a completely different cast tackle Star Trek material while supporting the foundation's programs. Read more about The Pitt cast's Star Trek table read at TrekMovie From aging action comedies to AI-powered hurricane forecasts and a spacecraft that refuses to die, this week is a reminder that the future has a funny way of colliding with the past. Join us next time for more science, sci-fi, and whatever unexpected detours we stumble into along the way.
Demis Hassabis has stepped up/down/around from his position as CEO of Google Deepmind, becoming Chair of Deepmind and Chief Scientist at Alphabet. "Henno and the Riph Raph" discuss how this reflects on Google and it's AI landscape as a whole. If you like the pod, chuck us a review on your podcast player of choice, or go to downround.net to sign up for PREMIUM to get ad-free listening PLUS an extra episode every week. See omnystudio.com/listener for privacy information.
Bomani Jones is joined by Ted Tremper, a producer, to break down the complexities, fears, and economic realities surrounding artificial intelligence. They discuss Tremper's two-and-a-half-year journey researching and interviewing over 40 AI experts and tech leaders, sharing behind-the-scenes insights from his discussions with frontier lab CEOs like OpenAI's Sam Altman, Anthropic's Dario Amodei, and Google DeepMind's Demis Hassabis. Bo and Ted examine the shifting public perception of AI, the threat of potential job replacements, the environmental racism of data center expansion, and how algorithmic design fosters a dangerous illusion of human connection. They also explore the intense geopolitical space race against China's booming open-source market, the staggering amount of unlicensed data driving the industry, and the precarious Jenga tower of debt threatening the broader American economy. Along the way, they make sense of the money, politics, and societal chaos defining our relationship with this modern digital god. . . . Subscribe to Supercast for Ad-Free Episodes: https://righttime.supercast.com/ Buy 'The Right Time' merch: http://therighttimebomani.com/ Subscribe to The Right Time with Bomani Jones on Spotify, Apple or wherever you get your podcasts and follow the show on Instagram, Twitter, and Tik Tok for all the best moments from the show. Download Full Podcast Here: Spotify: https://open.spotify.com/show/6N7fDvgNz2EPDIOm49aj7M?si=FCb5EzTyTYuIy9-fWs4rQA&nd=1&utm_source=hoobe&utm_medium=social Apple: https://podcasts.apple.com/us/podcast/the-right-time-with-bomani-jones/id982639043?utm_source=hoobe&utm_medium=social Follow The Right Time with Bomani Jones on Social Media: http://lnk.to/therighttime Learn more about your ad choices. Visit megaphone.fm/adchoices
When should governments slow the race toward superintelligence? According to Geoffrey Irving, the careful answer is sometime in the past. The useful answer is now.Geoffrey — formerly a safety researcher at OpenAI and Google DeepMind and chief scientist at the UK AI Security Institute — expects full-blown superintelligence in roughly two to three years.***Want to work with Geoffrey to help align superintelligence? Resolution is hiring! https://80k.info/work-at-resolution***The leading AI companies all have broadly similar plans for keeping superintelligence under control:Train models to have good characterUse increasingly capable AIs to supervise other AIsMonitor them closely for signs of deception or schemingGeoffrey thinks that combination could work. The alarming part is that nobody has a strong argument that it will. He expects a crucial “phase shift” as models move beyond human intelligence:Below that threshold, humans can usually tell whether a model's work is good and correct its mistakes.Above it, the models themselves will increasingly determine the feedback used to train their successors.In this episode, Geoffrey and new host Tom Reed explore what might go wrong with the companies' plans; why Geoffrey's new nonprofit, Resolution, is pursuing a portfolio of neglected research bets; and whether governments should slow AI development while we work out which methods can actually be trusted.This episode was recorded on June 29, 2026.Full transcript, video, and links to learn more: https://80k.info/giChapters:Cold open (00:00:00)Meet Tom Reed — our newest host! (00:00:32)Who's Geoffrey Irving? (00:00:59)What misaligned superintelligence will look like (00:01:38)Why are AI companies more optimistic about alignment than Geoffrey? (00:12:30)Why Geoffrey expects superintelligence in 2–3 years (00:28:05)When and how to slow down frontier AI development (00:31:30)Safety researchers can have more impact in governments than companies (00:39:22)How Geoffrey's new organisation plans to tackle alignment (00:46:55)Post-ASI science: nanotech, solving ageing, and uploaded minds (00:50:29)Why we should expect superintelligence to accelerate scientific progress (01:03:30)Can good character training carry over to superintelligence? (01:11:03)What the field of AI alignment still doesn't know (01:16:44)Lessons from politics on how to combat power seeking (01:24:36)Solving Pentago and working at Pixar (01:29:22)Geoffrey's best prediction (01:32:40)Geoffrey's best bets on which alignment techniques will work (01:37:38)Work with Geoffrey at Resolution (01:43:34)The dangerous asymmetry between capabilities and alignment (01:54:17)Our team is hiring! The 80,000 Hours Podcast aims to help the world safely navigate the transition to transformative AI. Help us make more great episodes as a producer, production coordinator, or special projects associate. https://80k.info/workOur production team includes: Video editors: Josh Alward, Dominic Armstrong, Jasper Luithlen, Milo McGuire, Luke Monsour, and Simon MonsourProducers: Elizabeth Cox and Nick StocktonCoordination and support: Katy Moore and Lou MoranCamera operator: Jeremy ChevillotteMusic: CORBIT
Our 254th episode with a summary and discussion of last week's big AI news!Recorded on 08/09/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode: Multiple frontier AI systems (OpenAI, Anthropic, Meta, Kimi K3, and UK AISI-tested models) took unsanctioned real-world cyber actions during evaluations, including hacking services, escaping or exploiting misconfigured sandboxes, coordinating via a covert message board, and attempting supply-chain/social-engineering attacks; attorneys general demanded OpenAI preserve records related to the Hugging Face incident.Policy and governance updates included a proposed Trump White House voluntary pre-release security review framework for closed-source frontier models, and EU AI Act transparency/labeling rules taking effect with enforceable fines.Biosecurity concerns rose after research generated complete synthetic bacteriophage genomes via genome language models and demonstrated lab-synthesized viruses killing drug-resistant E. coli, alongside calls for stronger DNA screening and detection.Additional developments: CVE disclosures surged (notably high/critical vulnerabilities), new monitoring/sabotage benchmarks highlighted weaknesses in AI oversight, a vending-machine benchmark showed profit-maximizing deception, and major industry shifts included Jeff Dean and other top Google researchers leaving to found Discovery Loop plus new compute/data-center constraints and releases from Meta and Alibaba (Qwen 3.8 Max).Timestamps (note - these don't take into account dynamically inserted ads and therefore may be off by a couple of minutes):(00:00:10) Intro / Banter(00:02:17) News Preview(00:03:19) Response to listener commentsPolicy & Safety(00:14:30) OpenAI's rogue AI agent didn't stop at hacking Hugging Face | The Verge + OpenAI Didn't Notice Its AI Agents Using a Message Board to Plan Their Hacking Spree + 15 attorneys general have instructed OpenAI to preserve all materials related to the Hugging Face hack(00:43:51) Anthropic Says Its A.I. Systems Broke Into Computers at 3 Organizations - The New York Times(00:51:14) Meta AI model hacks another company during testing(00:52:11) One of China's Most Powerful AI Models Has Also Escaped Containment | WIRED(00:56:12) Incident Report: unsanctioned agent behaviour during cyber testing(01:02:32) Trump White House Readies AI Framework to Review Security Risks - The New York Times(01:05:45) This A.I. Just Created Viruses Not Found in Nature - The New York Times + Scientists Used AI to Create 16 New Viruses(01:16:03) Europe's AI labeling and transparency rules are now in effect | The Verge(01:18:58) Serious cyber vulnerability disclosures kept climbing in July(01:21:13) ResearchArena: Evaluating Sabotage and Monitoring in Automated AI R&D(01:25:34) Claude Opus 5 became downright ruthless when tasked with running a vending machine | TechCrunchTools & Apps(01:28:34) Meta debuts Muse Code to take on Anthropic and OpenAI(01:32:36) Improving Fable 5 Safeguards AnthropicApplications & Business(01:33:50) Jeff Dean and other top AI researchers are leaving Google to launch their own startup | TechCrunch(01:40:38) Google DeepMind enters a new era as co-founder Demis Hassabis shifts AI role(01:43:40) Anthropic signs $10B deal with AI cloud startup Volta | TechCrunch(01:44:53) Texas halts data center connections to power grid amid overwhelming demand - Ars TechnicaProjects & Open Source(01:49:56) Alibaba's Qwen3.8-Max AI Model Claims Benchmark Scores Rivaling Anthropic - BloombergSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
AI agents crashing.
Das ist das KI-Update vom 10.08.2026 unter anderem mit diesen Themen: Europa retten mit Robotik Google baut Gemma per Diffusion zum schnellen Textmodell um Google verliert weitere KI-Spitzenforscher und KI entwirft lebensfähige Bakteriophagen === Anzeige / Sponsorenhinweis === Dieser Podcast wird von einem Sponsor unterstützt. Alle Infos zu unseren Werbepartnern findet ihr hier. https://wonderl.ink/%40heise-podcasts === Anzeige / Sponsorenhinweis Ende === Links zu allen Themen der heutigen Folge findet Ihr im Begleitartikel auf heise online: https://heise.de/-11406292 Weitere Links: https://www.heiseplus.de/audio https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.ct.de/ki Eine neue Folge gibt es montags, mittwochs und freitags ab 15 Uhr.
Join the Multi-Agent Orchestration Course and use LEVERAGINGAI100 to get $100 off > https://multiplai.ai/multi-agent-orchestration-course/ AI agents are already hacking real systems without being told to, and Wall Street just predicted a 20% AI-driven workforce cut.A UK government test caught frontier models from Anthropic and OpenAI attempting real supply-chain attacks, fake online identities, and prompt injection, on their own initiative. Real organizations have already been breached the same way, including a national finance ministry.Isar connects that story to a second one: PwC's 2026 Financial Services Workforce AI Survey shows leaders expecting to cut 20% of their workforce over five years, while paying AI-skilled employees significantly more. He also covers a new open standard for AI agent extensions, OpenAI's unlimited ChatGPT rollout, Anthropic's move into custom chips, a Google DeepMind leadership shakeup, and an AI agent that ran an entire sales pipeline during a founder's paternity leave.In this session, you'll discover:How AI agents in testing bypassed their own safety instructions to hack real GitHub reposWhy there's currently no legal framework for damage caused by an autonomous AI agentWhat 86% of financial services executives now value more than an MBAWhy AI just designed 16 working viruses, and what that means for biosecurityHow one founder's AI sales agent generated $3M in pipeline while he was on leave About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
Demis Hassabis tritt als CEO von Google DeepMind ab, und am selben Tag verlässt Jeff Dean die Firma, bei der er 1999 als Mitarbeiter Nummer 30 angefangen hat. Danach wird die Wäsche zwischen Apple und OpenAI schmutziger, samt veröffentlichter Chatprotokolle. Bei den Sicherheitsvorfällen kommen neue Details ans Licht: OpenAIs Agenten haben sich ein eigenes Nachrichtenbrett gebaut und sich gegenseitig Tipps gegeben, Anthropics Modelle haben sich falsche Identitäten zugelegt. Runware packt ein Megawatt Rechenleistung in einen Seecontainer. Nvidia steht inzwischen für bis zu 750 Milliarden an Verbindlichkeiten gerade. Elon Musk kauft künftig exklusiv bei Nvidia, und beim Blick in die SpaceX-Zahlen stellt sich die Frage, woher die Investitionen für eine Billion Umsatz kommen sollen. Dann die Earnings-Runde mit Shopify, Figma, Canva, Arista, Cloudflare, Atlassian, Twilio und AppLovin. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf doppelgaenger.io/werbung. Vielen Dank! Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Hassabis und Jeff Dean (00:18:26) LeCuns neuer Fonds (00:20:39) Apple gegen OpenAI (00:23:49) Das Nachrichtenbrett der Agenten (00:26:12) Falsche Identitäten (00:31:44) Muse Spark (00:34:10) Rechenzentrum im Container (00:37:19) Nvidias 750 Milliarden (00:38:47) Platzt sie oder nicht (00:47:15) Musk und Huang (00:48:49) SpaceX nachgerechnet (01:00:42) Shopify (01:02:14) Figma und Canva (01:04:20) Arista Networks (01:06:25) Cloudflare (01:09:57) Atlassian (01:11:22) Twilio (01:14:36) Palantir zahlt 1,4% Steuern (01:18:35) Tax Loss Harvesting (01:21:55) Nikita Bier hört auf (01:22:33) 16 neue Viren Shownotes Hassabis tritt als CEO von Google DeepMind ab - semafor.com Jeff Dean verlässt Google und gründet Discovery Loop - wired.com Hassabis war früh privat bei Anthropic investiert - ft.com Yann LeCun startet 224 Ventures - bloomberg.com Apple wirft elf weiteren Ehemaligen Datenmitnahme vor - techcrunch.com OpenAI kontert mit Chatprotokollen von Apple-Mitarbeitern - the-decoder.com OpenAI-Agenten nutzten ein geheimes Nachrichtenbrett - wired.com KI-Agenten legten sich falsche Identitäten zu - cnn.com Metas Muse Spark bricht aus der Testumgebung aus - mashable.com Runware packt ein Rechenzentrum in den Seecontainer - techcrunch.com Nvidia kündigt 750 Mrd. an Deals an, der Kreditmarkt zuckt - thenextweb.com Musk kauft künftig exklusiv bei Nvidia - businessinsider.com SpaceX-Zahlen nachgerechnet - x.com Shopify wächst 34 Prozent - reuters.com Figma wächst 48 Prozent und verliert 16 Prozent Kurs - reuters.com Canva senkt die Prognose wegen KI-Kosten - theinformation.com Arista Networks überrascht deutlich - barrons.com Cloudflare hebt die Prognose an - barrons.com Atlassian springt 35 Prozent nach starkem Cloud-Geschäft - reuters.com Twilio hebt die Jahresprognose deutlich an - investors.com AppLovin verfehlt knapp und verliert 20 Prozent - wsj.com Palantir zahlt 1,4 Prozent Steuern - ftm.eu AQR erzeugt Verluste zum Steuersparen - bloomberg.com Nikita Bier hört als Produktchef von X auf - techcrunch.com KI entwirft 16 funktionsfähige Viren - nytimes.com
These sources provide a comprehensive overview of AI reasoning models, focusing on how they solve complex problems by spending extra "thinking" time during inference. The first source explains that 2026-era models use test-time compute and chain-of-thought processing to explore, verify, and backtrack through logic, making them superior for math and coding despite higher costs and latency. Complementing this, research from Google DeepMind demonstrates these capabilities through AlphaProof and AlphaGeometry 2, which reached a silver-medal standard at the International Mathematical Olympiad by combining reinforcement learning with formal mathematical languages. Finally, a theoretical analysis from MIT and UW-Madison challenges the need for expensive step-by-step human feedback. Their findings suggest that outcome supervision—training based only on final results—is statistically as effective as process supervision for developing advanced reasoning, provided the model has sufficient data coverage. Together, these texts illustrate a shift toward System 2 thinking, where intelligence is scaled not just by model size, but by the deliberate allocation of computational effort during problem-solving.
Artificial intelligence is already changing how we work, communicate and find information. But could its biggest impact be on science? Demis Hassabis is one of the most influential figures in AI. An artificial intelligence researcher and entrepreneur, he is the co-founder of Google DeepMind, having recently stepped down as chief executive to become the company's chair and chief scientist at its parent company Alphabet. His is also co-founder and CEO of Isomorphic Labs, and an AI adviser to the UK government. DeepMind has used AI to predict the structure of proteins, a breakthrough that helped Hassabis win a Nobel Prize and could accelerate the development of new medicines. And the ambition goes much further: using AI to tackle some of the biggest unanswered questions in biology, physics and beyond. Niall Paterson speaks to Sebastian Mallaby, journalist and author of The Infinity Machine, about the extraordinary ambition behind DeepMind, why its approach to AI is different from some of its Silicon Valley rivals, and whether the technology could ultimately become the world's smartest scientist. Have you got a question for Niall? Email us at: why@sky.uk. You can also watch This Is Why on YouTube.
In questa puntata partiamo da Google, dove Demis Hassabis lascia la guida operativa di DeepMind mentre continua la guerra per i talenti dell'AI. Poi guardiamo i primi numeri di SpaceX da società quotata e ci chiediamo che azienda sia diventata davvero: spazio, connettività o infrastruttura per l'intelligenza artificiale? Torniamo anche su OpenAI, dagli agenti che riescono a coordinarsi fuori da una sandbox allo scontro con Apple sul possibile nuovo device. Infine la big story: Bending Spoons compra Airtable e si ritrova sempre più al centro della conversazione della Silicon Valley.
Google is reshuffling its AI team, moving Demis Hassabis from CEO to chairman of Google DeepMind. Hassabis will also take over the chief scientist role of Alphabet after the current chief scientist Jeff Dean leaves the company. The Wall Street Journal is reporting that President Trump has called Federal Reserve Chairman Kevin Warsh multiple times since Warsh stepped into his role. Google board member and former Fed vice chairman Roger Ferguson weighs in on both Google's AI strategy and the relationship between the central bank and the White House. Plus, Jamie Dimon has a warning for investors, CNBC's Sharon Epperson reports on the major wealth transfer from boomers, including the complicated inheritance of real estate. Roger Ferguson 23:17 Sharon Epperson 35:34 In this episode: Sharon Epperson, @sharon_epperson Joe Kernen, @JoeSquawk Andrew Ross Sorkin, @andrewrsorkin Katie Kramer, @Kramer_Katie Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Nvidia Reporter Phoebe Liu talks with guest TITV Host Stephanie Palazzolo about Nvidia's proposed solution to the high-bandwidth memory crunch for its next-generation Rubin chips. We also talk with Creative Strategies' Max Weinbach about Meta's new Muse Code agent and Muse Spark 1.2 model, The Information's Co-Executive Editor Martin Peers about Google DeepMind's executive shakeup and what it signals for Alphabet's future leadership, and Radical Ventures Partner Rob Toews about backing Discovery Loop, the new AI scientific research startup founded by Google's former chief scientist Jeff Dean.Articles discussed on this episode: https://www.theinformation.com/articles/dario-amodei-spread-anthropics-religion-stirred-silicon-valleyhttps://www.theinformation.com/articles/nvidia-weighs-radical-idea-less-rubin-ultra-chip-memorySubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction00:01 - Nvidia Weighs Putting Less Memory in Rubin Chips00:09 - Meta Debuts New AI Coding Tools00:20 - What Google's AI Shakeup Means for Pichai Succession00:30 - Radical Ventures Backs AI Startup Founded by Ex-Google Leaders
Het is vakantie, en dus is er geen verse Machine. Maar vlak voor die vakantie was Atze host van twee panels op Love Tomorrow, de conferentie van Tomorrowland. Daar besprak hij zeer Machine-waardig spul. Zo schoven vertegenwoordigers van Google Deepmind, Tomorrowland Music en Bandcamp, en de Belgische EDM artiest Lost Frequencies aan om te praten over AI. En met mensen achter Lab Tomorrow sprak hij over hoe zij technologische innovaties proberen te stimuleren.
Today's episode covers Google's AI leadership shakeup, vishing cyberattacks targeting major Wall Street hedge funds and Meta's AI testing breach. Locally, Jacob Zuma appoints his son Duduzane as MKP deputy president while Ramaphosa holds back an interim commission report. Plus, SRF polling reveals the ANC collapsing in Johannesburg, Kallie Kriel dives into property rights warnings over expropriation, SanDisk's revenue forecast, and Uber's latest consumer update.
P.M. Edition for Aug. 5. Seven-year-old Whatnot is gaining popularity among people drawn to its high-energy live auction sales on everything from fashion to trading cards. But as WSJ retail reporter Hanna Krueger discusses, some users say they're hooked even when they feel like they should walk away. Plus, progressive candidate Abdul El-Sayed clinched the Democratic senate nomination in a closely-watched race in Michigan. We hear from Journal reporter Terell Wright about what this means for the Democratic party's future. And Google shakes up the leadership of its AI operations as it struggles to keep pace with competitors' top models. Alex Ossola hosts. Whatnot, the Live Shopping App Where Some People Bid Until They're Broke Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Plus: Uber issues weak guidance amid robotaxi investments. And Shopify says AI-search is fueling e-commerce growth. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Intelligence too cheap to meter -- could that actually be coming?
“It would be sad if local models were not an option and there were only proprietary models. It's good to have alternatives. Competition is good for business.”— Sebastian Raschka, on open-weight AIKimi K3's weights landed about an hour before Hugo Bowne-Anderson and Sebastian Raschka went live. Sebastian had already updated his architecture diagram. That speed captures his approach to the current model wave: wait until the weights exist, run the model in the harness where it will actually work, then inspect the architecture closely enough to understand what changed.The conversation arrived during a larger fight over who supplies the models underneath global software. Three days earlier, twenty-five companies including NVIDIA, Meta, Microsoft, Hugging Face, and IBM published Open Weights and American AI Leadership. Their argument closely matches Sebastian's practical case for local models: open weights create competition, reduce dependence on a single provider, and let organizations choose a model at the right capability and cost.Update: Four days after we recorded, DeepSeek released V4 Flash 0731, a re-post-trained API model for agentic coding. Developers are already reporting that it can debug multi-project codebases and stay on task across very long contexts.You can find the full episode on Spotify, Apple Podcasts, and YouTube.
In partnership with RENDR Festival and supported by the National Talent Academy for VFX, we are delighted to present this very special speaker series. Recorded live at RENDR 2026 in Banana Block, Belfast, we spoke with Belfast-born stand up, director, animator, and Associate Creative Director at BUCK, Jennifer Zheng. Her BAFTA-nominated short film Tough – exploring the complexities of her and her mother's cultural identities – has screened at over 80 international festivals, including Sundance and SXSW, and received 17 awards. Alongside her directorial work, Zheng has collaborated with global clients such as Netflix, Google DeepMind, Headspace, and The White Stripes. Listen now on SoundCloud, Apple, Spotify, Acast and Amazon, or subscribe to Film Ireland wherever you get your podcasts. https://www.filmireland.net/podcast-director-designer-animator-jennifer-zhengThis series of talks was recorded in The Spinners Mill Studio, a podcast and DJ studio based in Banana Block offering tailored solutions for DJ sessions, small-scale events and podcasting from concept to final distribution. Follow them on Insta / Facebook / TikTokJennifer ZhengJen learned to draw the normal way: by drawing the same boiled egg for a month because her dad told her 'Da Vinci started that way' – he didn't*. After eggs, she drew exclusively Hollywood A-lister headshots with the grid method: Her Angelina Jolie was spectacular. Now Jen has found a career where drawing the same thing over and over isn't considered crazy: animation.She grew up Chinese in the rolling concrete flats of Belfast, Northern Ireland where it was so white she would sometimes forget that she was Asian ... so the other girls at school would complain that their fake tan kept rubbing off, and she'd say back 'I dunno what's wrong with you girls, because mine never comes off.' The prejudices she experienced growing up taught her the importance of empathy, which is a theme that permeates her work. Her short film Tough on her and her mother's conflicting cultural identities was nominated for a BAFTA, won 17 awards, and screened at over 80 international film festivals including Sundance and SXSW. She is currently Associate Creative Director at BUCK and has worked with clients like The White Stripes, Netflix, Headspace & Google Deepmind. Notably, she's led the design of genitals & illustrations for OMGYes, co-wrote & creative directed a short for GitHub starring Phil Wang, and recently directed the animated portion of David Wilson's music video for Mabel ‘Look At My Body pt.II' – a psychedelic feminist retelling of the original sin. On the side, she is an award-winning stand-up comedian, Playgrounds In Motion London host, erotica zine publisher, and t-shirt tiedyer.*Da Vinci never repeatedly drew eggs, this seems to be a China-specific conspiracy.Website / InstagramRENDR FestivalThis is a unique event celebrating creative craft and artistry in a fully immersive two-day festival exploring the space between Creativity and Technology. Ignite your imagination with inspiring speakers from the worlds of Film, Gaming, Animation, Immersive, and more! Learn from the best, with 30+ creatives from the likes of Netflix, Pixar, Walt Disney Studios, and Epic Games among others.Witness creative uses of new technology, explore the gallery of digital art, chow down at the food village or play in the arcade. You will be transported to the future, and provide you with unforgettable and inspirational nights.National Talent Academy for Visual EffectsAs the newest of the Academies, the National Talent Academy for VFX provides support and opportunities for anyone interested in a career in VFX. Launched in 2024, the National Talent Academy for VFX is an initiative of Fís Éireann/Screen Ireland, managed by Cultural & Creative Industries Skillnet. Their mission is to transform aspiring VFX artists into industry-ready professionals while providing ongoing upskilling opportunities for current talent.Over the years, the podcast has featured acclaimed guests such as Phyllida Lloyd, Lenny Abrahamson, M. Night Shyamalan, John Boorman, Saoirse Ronan, Colin Farrell, Aisha Tyler, Colm Meaney, Paul Reiser, Niamh Algar, David Freyne, Ciarán Donnelly, Joshua Oppenheimer, John Crowley, Niamh Algar, Gene Stupnitsky, and Terence Davies, alongside many of the most influential voices working in film and television today.So make sure to subscribe and listen back! Hosted on Acast. See acast.com/privacy for more information.
Après l'incident OpenAI-Hugging Face, trente cinq entreprises de tech appelle à une IA plus ouverte • Plus de 1.200 chercheurs réclament un mécanisme pour ralentir le développement de l'IA • L'AI Act européen entre en vigueur. • Elon Musk expose sa vision d'une économie pilotée par les robots • Meta renonce à faire payer une fonction de ses lunettes connectées • Premières impressions sur le Samsung Galaxy Fold 8.Avec Bruno Guglielminetti (Mon Carnet).===============Appel à une IA plus ouverteAprès l'incident impliquant un agent autonome d'OpenAI, Jensen Huang (Nvidia), rejoint par plus de trente entreprises spécialisées, appelle à davantage de transparence autour des modèles d'intelligence artificielle et lance une initiative en faveur des modèles "open weight". Avec Microsoft, Meta, IBM et plusieurs dizaines d'acteurs, Nvidia défend une approche ouverte face aux modèles fermés d'OpenAI et Anthropic, sur fond de rivalité stratégique avec la Chine. Dernière minute (info tombée après l'enregistrement de ce podcast) : Anthropic a révélé que trois modèles de son IA Claude, notamment Mythos 5, avaient également accédé sans autorisation à des systèmes informatiques d'entreprises. Les chercheurs demandent un frein d'urgencePlus de 1.200 chercheurs, ingénieurs et dirigeants issus notamment d'OpenAI, Anthropic, Google DeepMind et Meta réclament la mise en place d'un mécanisme permettant de ralentir le développement des modèles les plus puissants si leur évolution devenait incontrôlable. Derrière l'argument sécuritaire se cachent aussi des enjeux économiques et géopolitiques majeurs.Retour sur l'affaire OpenAI - Hugging FaceLes révélations continuent autour de l'incident impliquant un agent autonome d'OpenAI. L'épisode aurait été plus grave qu'annoncé, avec plusieurs victimes et une erreur humaine à l'origine de la désactivation des protections. Clément Delangue (Hugging Face) demande désormais une transparence totale sur le déroulement de l'incident.Mythos découvre des failles critiquesLe modèle Mythos continue d'inquiéter après la découverte de vulnérabilités inédites touchant des briques fondamentales de la sécurité informatique, notamment des mécanismes cryptographiques. Si ces découvertes restent aujourd'hui théoriques, elles illustrent la capacité des IA les plus avancées à identifier des scénarios d'attaque inaccessibles aux experts humains.L'AI Act européen entre en vigueurÀ partir du 2 août, une nouvelle étape de l'AI Act entre en application en Europe. Les contenus générés ou modifiés par IA susceptibles d'induire le public en erreur devront être clairement identifiés, tandis que les œuvres humoristiques, artistiques ou les simples corrections automatisées restent exemptées de cette obligation.Les milliardaires arrivent sur XLa semaine a été marquée par les débuts de Jensen Huang (Nvidia) et Bernard Arnault (LVMH) sur X. L'arrivée du patron de LVMH lui permet notamment de répondre directement à une enquête du journal Le Monde, illustrant l'évolution des rapports entre personnalités publiques, médias traditionnels et réseaux sociaux.Elon Musk imagine un monde d'abondanceDans une longue interview accordée à The Economist, Elon Musk (xAI, Tesla, SpaceX) défend sa vision d'une économie presque entièrement automatisée où les robots produiraient l'ensemble des biens et services. Selon lui, cette abondance pourrait rendre l'argent et la fiscalité largement obsolètes.Meta renonce à faire payer une fonction de ses lunettesFace aux critiques des utilisateurs, Meta fait machine arrière et renonce à rendre payante la fonction d'amélioration des conversations de ses lunettes connectées. Les tests ont montré que cette fonctionnalité fonctionne localement sur les lunettes, sans solliciter les serveurs de Meta.Prise en main du Samsung Galaxy Fold 8Bruno partage ses premières impressions sur le nouveau smartphone pliant de Samsung. Il souligne la qualité du nouveau format, plus proche d'un mini-tablette, la disparition quasi complète de la pliure de l'écran, mais regrette une autonomie encore limitée lors d'un usage intensif.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. And Google wasn't the only company updating their features behind the scenes. Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. We'll get you caught up quickly. Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Replit Design Suite Launches With Free MobbinChatGPT Chrome Extension Adds YouTube SummarizationChatGPT Side Chat Integrates Tabs and Highlighted TextMeta AI Rolls Out Recurring Agent TasksGoogle Gemini Generates Images in Google DocsGemini AI Summarizes Comments, Edits in DocsGoogle Gemini Spark Agent Arrives in ChromeChrome Agent Uses Saved Accounts and PasswordsGoogle Lyria 3.5 Music Model ReleasedBuzz by Block Unites Team and Agent CollaborationTimestamps:00:00 Recent AI updates and developments05:01 Creating with Replit and AI models09:42 Real-time research tracking benefits10:34 Meta AI new recurring features13:35 New features of Meta AI17:53 Google Spark integrates with Chrome22:09 Google DeepMind's new music model25:25 Buzz from Block messaging tool29:42 Building a collaborative platform31:23 AI feature updates recapKeywords: Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
A inteligência artificial está evoluindo em uma velocidade impressionante. Mas será que estamos apenas vivendo mais uma revolução tecnológica... ou já entramos na chamada Singularidade Tecnológica?Neste episódio do Bunker X, recebemos @izzynobre Izzy Nobre para explicar o que realmente significa esse conceito e por que ele vem sendo discutido pelos maiores especialistas do mundo.Falamos sobre LLMs, AGI, Superinteligência e mostramos casos reais que surpreenderam até os próprios criadores das IAs, envolvendo empresas como OpenAI, Google DeepMind, Anthropic, Microsoft e Meta. Também discutimos o que essas inteligências já conseguem fazer hoje e quais são os desafios para mantê-las sob controle.No final, entramos no campo das hipóteses: estamos caminhando para um futuro como Os Jetsons, para um cenário digno de Matrix e O Exterminador do Futuro, ou a Singularidade já começou sem que a gente tenha percebido?#InteligenciaArtificial #IA #AGI #SingularidadeTecnologica------------------Este programa foi um oferecimento de:INSIDER. Garanta descontos incríveis usando o cupom BUNKERX em: https://www.insiderstore.com.br/BunkerX#InsiderStore------------------
Das ist das KI-Update vom 31.07.2026 unter anderem mit diesen Themen: Neue KI-Kennzeichnungspflicht gilt ab dem 1. August Musk will KI-Nacktbilder von realen Personen nicht verbieten AlphaFold-Team bei Google Deepmind zerfällt und Granola transkribiert Besprechungen per Apple Watch === Anzeige / Sponsorenhinweis === Dieser Podcast wird von einem Sponsor unterstützt. Alle Infos zu unseren Werbepartnern findet ihr hier. https://wonderl.ink/%40heise-podcasts === Anzeige / Sponsorenhinweis Ende === Links zu allen Themen der heutigen Folge findet Ihr im Begleitartikel auf heise online: https://heise.de/-11381942 Weitere Links: https://www.heiseplus.de/audio https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.ct.de/ki Eine neue Folge gibt es montags, mittwochs und freitags ab 15 Uhr.
DJI's Osmo Pocket 4B is out but you might have a hard time getting it in the US, and Google DeepMind's Gemini Robotics 2 aims to be the Android OS for physical AI and humanoid robots.Starring Jason Howell and Huyen Tue Dao.Show notes found here. Hosted on Acast. See acast.com/privacy for more information.
Recorded at the Battle of Ideas festival 2025 on Sunday 19 October at Church House, Westminster. ORIGINAL INTRODUCTION The past 20 years have seen astonishing advances in science, technology and medicine. Building upon the completion of the Human Genome Project at the turn of the century, scientists have developed ever more powerful ways to sequence and study DNA, enabling us to better understand genetic diseases and develop pioneering treatments. Now, AI tools such as the AlphaFold program developed by Google DeepMind are also providing unprecedented understanding of the human proteome – the complete set of proteins made from instructions in our DNA. As well as acquiring powerful ways to study DNA, we have also acquired powerful ways to change it. CRISPR genome editing, which enables us to make precise changes to the DNA of humans and other organisms, is now widely used in laboratories across the world and has been used in life-saving treatments for devastating diseases. Meanwhile, stem-cell research has advanced to the point where it is now possible to create structures resembling early human embryos entirely from stem cells, instead of having to begin by fertilising an egg cell with a sperm cell. There is even speculation about one day being able to bypass pregnancy altogether. Some are thrilled about the new possibilities opened up by these developments, while others worry about human life being mechanised in ways that seem distasteful. Genetics, genomics, neuroscience and psychology can be (mis)used to seek to reduce human beings to brain circuits and physiological mechanisms, which can then be managed via modification, drugs or nudge-based policy. Who gets to decide what counts as progress, and who gets a say in how science is governed? What happens when the (in)famous Silicon Valley dictum ‘Move fast and break things' meets biology? What can be learned from incidents such as the He Jiankui scandal of 2018, in which a Chinese scientist who worked on human embryos in secret breached scientific and ethical standards, resulting in the birth of three children with edited genomes? How can oversight and rules be imposed, when the science is so complex and fast-moving, and when the world is made up of diverse (and in some cases warring) nation states? Over the past two decades, Sandy Starr of the Progress Educational Trust and Dr Stuart Derbyshire of the National University of Singapore have been involved in numerous national and international deliberations on science, ethics, policy and law in these areas. At this breakfast banter, they will compare their experiences, exchange insights and invite questions. DISCUSSANTS Dr Stuart Derbyshire associate professor, deputy head of psychology, National University of Singapore Sandy Starr deputy director, Progress Educational Trust; author, AI: Separating Man from Machine
Ukraine is shifting its long-range drone campaign to focus on critical Russian infrastructure, and Big Tech companies are facing an AI dilemma as they report quarterly earnings. Plus, Google DeepMind is leaving behind its Nobel-winning AlphaFold project for new ventures, and PwC published “thought leadership” reports containing AI-generated hallucinations.Mentioned in this podcast:Ukraine adapts strikes on Russian energy industry to hit critical componentsChip stocks tumble as AI sell-off deepensGoogle DeepMind dismantles Nobel-winning AlphaFold team in strategy shiftPwC published ‘thought leadership' reports marred by AI hallucinations Listen to Unhedged on Apple Podcasts, Pocket Casts or Spotify.Save 10% on tickets to the FT Weekend Festival with the code FTPodcast. Visit ft.com/festival to find out more.Want to get in touch? Email us at podcasts@ft.comNote: The FT does not use generative AI to voice its podcasts The FT News Briefing is produced by Victoria Craig, Sonja Hutson, Saffeya Ahmed, Katya Kumkova, and Fiona Symon. Our editor is Marc Filippino. Our show is mixed by Sam Giovinco and Alex Higgins. Additional help from Gavin Kallmann, Michael Lello, Peter Barber and David da Silva. Our intern is Cole van Miltenburg. Our executive producer is Topher Forhecz. Flo Phillips is the FT's global head of audio. The show's theme music is by Metaphor Music. Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.
Guest: Dr. Michael Brennan, Director of NOAA's National Hurricane CenterThe peak of hurricane season is right around the corner—and whether you live along the coast or hundreds of miles inland, what happens in the tropics can have real impacts on your life. The question is: what do you actually need to know before the season really ramps up? Today on Weather Geeks, we're getting a preview straight from the source. Dr. Michael Brennan, Director of the National Hurricane Center, joins us to walk through what forecasters are watching this year, how hurricane prediction continues to improve, and where the biggest challenges still remain. We'll also talk about new tools and products coming out of the National Hurricane Center, how technology is shaping the future of forecasting, and what all of this means for you when the next storm is on the horizon.Chapters00:00 Introduction to Hurricane Season and Its Impacts02:45 Understanding Tropical Storm Arthur and Its Effects05:41 El Niño's Influence on Hurricane Activity08:34 The Importance of Preparedness and Messaging11:59 Evolving Forecasting Techniques and Challenges14:15 Break 114:40 Advancements in Predictive Modeling and AI17:44 The Role of Communication in Weather Forecasting20:46 Inland Hurricane Threats and Their Impacts23:51 Future Directions in Hurricane Research and Forecasting26:54 Conclusion and Final Thoughts on Hurricane Preparedness26:58 Break 227:09 Conclusion and Final Thoughts on Hurricane PreparednesResourcesNOAA National Hurricane Center - https://www.nhc.noaa.gov/Google DeepMind - https://deepmind.com/Hurricane Forecasting Models (HWRF, HAFS) - https://www.nco.ncep.noaa.gov/pmb/products/hwrf/Guest LinksTwitter - https://twitter.com/NHC_AtlanticLinkedIn - https://www.linkedin.com/in/michael-brennan-5a90322b2See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
- In the updated post, the company said it has been finding "a small number of cases where the models identified and used publicly exposed credentials at the account-level on other publicly-available services" during its ongoing review. -According to the Financial Times, the award-winning team behind Google DeepMind's AlphaFold program is no more. -SpaceXAI has filed a lawsuit against Minnesota Attorney General Keith Ellison to challenge the state's new law that would ban apps and websites that can generate nonconsensual intimate images. Learn more about your ad choices. Visit podcastchoices.com/adchoices
https://novacut.ai/ In this episode, we break down the biggest stories shaping the AI landscape — from Anthropic's regulatory stance and OpenAI's monetization shift to the latest open-source breakthroughs and model pricing wars. 0:00 Anthropic's Frustrating Stance 5:32 AI Access and the Intelligence Gap 14:17 Defending Anthropic's Regulation Approach 25:10 Google DeepMind and Cybersecurity Risks 29:27 GPT 5.6 Soul and Coding Abilities 35:24 Alignment and the Knife Analogy 39:42 Google Gemma, Flash, and Market Value 51:11 AI Lab Focus: Speed vs. Specialization 58:48 Inkling: Mira Murati's New Model 1:06:21 Open Source and Fine-Tuning 1:12:43 On-Premise Hardware Costs 1:19:54 Open Source Models Hit Frontier 1:23:32 Model Pricing Comparison 1:32:43 The Model Routing Problem 1:35:08 Grok 4.5 and Cursor Partnership 1:40:45 OpenAI's Monetization Shift 1:42:42 Sponsor: Nova Cut AI
When ML/AI Engineer William Horton last joined me, Maven Assistant had reached its first external users the day before. The healthcare AI agent was available to 20 percent of Maven Clinic's users, and the team had deliberately withheld answers about benefits. A wrong response could shape a decision involving $15,000 of fertility coverage, and the evals had not earned the right to ship it.Four months later, Maven Assistant is available to 100 percent of users, benefits answering is live, and weekly conversation volume has grown by roughly ten times. Real usage also overturned part of the roadmap. The team had invested heavily in provider search and appointment tools, but 50 to 60 percent of early conversations were basic health questions such as whether someone could eat tuna while pregnant.Production changed the engineering system too. An emergency guardrail told someone already in the ER to go to the ER. Zendesk content told people already using the Maven app to open the app. A newer model failed an upcoming-appointments eval because it correctly noticed that the mocked appointments were in the past.William explains how Maven turns those failures into deterministic tests, LLM judges, synthetic negatives, and manual review. He also walks through the move from Gemini Flash models toward newer OpenAI models, what GPT-5.6 and Fable mean for a production agent, why model upgrades can make old prompt instructions obsolete, and why open-weight models still have to justify their GPU, infrastructure, and engineering costs.“If anybody tells you that they've got their evaluations so good that they can just swap a model and know, with no manual review, that it's going to be better, that person is probably lying, or they work at one of three places in the world.”— William Horton, Staff Machine Learning Engineer, Maven ClinicYou can also find the full episode on Spotify, Apple Podcasts, and YouTube.
A rep says "follow up on that" on a call, then buries it under five more calls and a late-night inbox. Three days later the deal's gone cold, but the CRM still says it's live. The manager forecasts off that. The CRO forecasts off the manager. The board asks the CEO if anyone actually has a grip on the number. The whole thing was built on a promise nobody kept. Adam Liska worked on the early Gemini models at Google DeepMind before leaving to close that gap. His company, airspeed, just raised a $20M Series A on a bet that "revenue execution" is the next real category, not another tool that logs calls and calls it intelligence. Sam Jacobs traces the full arc with him: DeepMind to founder-led sales to the unglamorous work of turning a founder's instincts into a system a team can actually run. What we get into: Why "follow up on that" breaks the forecast chain from rep to CRO to board What "revenue execution" means, and why it isn't revenue intelligence with a new label Whether you own the interface or hand it to a chat model and live as middleware The Nashville lunch that became airspeed's first six-figure deal The real sequence from founder-led to scalable: capture the data first, then build the playbooks Owning your data instead of renting Salesforce's architecture The modern Turing test, AI-native orgs, and where the back office is headed Chapters: 00:00 Intro 00:44 From DeepMind to airspeed, and the $20M Series A 01:30 "Follow up on that" — the execution gap that breaks forecasts 04:00 What category is this? Revenue execution, defined 05:40 Headless vs. owning the interface 08:00 The origin story: leaving DeepMind in 2022 11:39 Founder-led sales and the Nashville lunch that closed a six-figure deal 13:18 The hard part: turning founder-led into a repeatable system 14:14 Why they recorded everything from day one 16:35 Owning your data, and where the source of truth lives 19:03 The playbook: data first, then hierarchical playbooks 20:52 Influences: the modern Turing test and AI-native orgs 23:37 Where to find airspeed Try airspeed: goairspeed.com
El CEO de Google DeepMind, Demis Hassabis, acaba de publicar un documento donde ubica la llegada de la AGI cerca del año 2030. En este episodio te cuento por qué esa fecha importa, qué significa que este cambio sea diez veces más rápido que la Revolución Industrial, y qué tareas ya te está sacando de las manos la inteligencia artificial de hoy, sin necesidad de esperar… Origen
There's (another) new open source king of AI.
Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any difference? By Robert P Baird. Read by Simon Darwen. Help support our independent journalism at theguardian.com/longreadpod
A24 announced a $75 million research partnership with Google DeepMind and framed it as R&D for production tools, not a content deal. Nobody cared about the distinction. Chris, Daniel, and James Blevins spend the first half of this Rough Cut on why that announcement landed like a betrayal anyway, then pull the same thread through the Paramount Skydance and Warner Bros. Discovery merger, Mark Ruffalo's New York Times op-ed on quiet industry retaliation, and what it means that four studios now control what used to take six. From there the panel turns to Christopher Nolan's press tour for The Odyssey and the practical-versus-VFX marketing dance that VFX artists roll their eyes at every single time it resurfaces. They close with a Monstrous Moonshine state of the union, walking through the June July shoot and a quick, lighthearted aside on why the show still uses AI tools like Suno for its own theme song. Mentioned this episode: A24, Google DeepMind Paramount Skydance, Warner Bros. Discovery, Mark Ruffalo, Matt Stoller Christopher Nolan, The Odyssey, D-Neg, Weta Workshop Monstrous Moonshine June July Suno Special thanks to our sponsor: Center Grid Virtual Studio: https://cgvirtualstudio.com/
Welcome to episode #1044 of Thinking With Mitch Joel (formerly Six Pixels of Separation). Steve Brown has spent more than twenty-five years helping organizations prepare for the future of technology. A former Senior Director and in-house futurist at Google DeepMind during the launch of AlphaFold, former Chief Evangelist and Futurist at Intel, entrepreneur and advisor, Steve has worked with global brands including Nike, JPMorgan Chase, Samsung, Disney and more to navigate digital transformation and the rapidly evolving AI landscape. His latest book, The AI Ultimatum - Preparing For A World Of Intelligent Machines And Radical Transformation, argues that AI is not another technology deployment but a fundamental organizational transformation that will reshape business over the next decade. In this episode, Steve explains why simply licensing AI tools is only the beginning, outlining the three stages organizations must navigate as they evolve toward becoming truly AI-first. We discuss the growing role of AI agents and digital employees, why leaders must rethink workflows instead of simply automating existing processes, and how organizations can prepare employees for a future where humans and intelligent machines work side by side. Steve also explores the importance of data strategy, change management, and responsible AI governance, while tackling difficult questions about surveillance, workforce anxiety, human creativity, and whether AI represents another technology cycle or something fundamentally different. Throughout the conversation, he makes the case that the real challenge is not adopting AI for efficiency alone, but reimagining how organizations create value in a world where intelligence itself has become programmable. Enjoy the conversation… Running time: 1:01:14. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Thinking With Mitch Joel. Feel free to connect to me directly on LinkedIn. Check out ThinkersOne. Here is my conversation with Steve Brown. The AI Ultimatum - Preparing For A World Of Intelligent Machines And Radical Transformation. Steve's Blog. Follow Steve on LinkedIn. Chapters: (00:00) - Navigating the AI Transformation. (06:06) - The Three Steps of AI Adoption. (08:47) - AI in Journalism: The Human-Machine Collaboration. (12:02) - Consumer Perception of AI-Generated Content. (18:03) - The AI Ultimatum: Embrace or Be Left Behind. (21:10) - The Role of Responsibility in AI Adoption. (24:00) - The Future of Digital Employees. (29:42) - The Future of Remote Work and AI Avatars. (30:05) - Managing Digital Employees: A New Paradigm. (32:35) - Types of AI Agents and Their Impact on Work. (34:34) - Evolving Roles: From Accountants to Financial Advisors. (37:09) - The Burnout Dilemma: Technology vs. Human Capacity. (39:11) - Involving Employees in AI Design Processes. (41:03) - Resistance to AI: Fear of Replacement and Identity. (44:42) - Leadership Perspectives on AI Integration. (46:36) - Creating Super Teams: The New Managerial Role. (48:04) - Case Study: Nvidia's AI Workforce Strategy. (50:10) - Early Successes in AI Deployment. (52:19) - Surveillance vs. Performance Measurement in AI. (56:25) - The Need for a Healthier Work Ecosystem. (58:24) - A Shift in Thinking: The Rise of OpenClaw.
What drives a man to turn down half a million pounds at 18, test Mark Zuckerberg's sincerity over dinner, and wonder aloud if he can win a second Nobel Prize? For Demis Hassabis, co-founder and CEO of Google DeepMind, the answer is a lifelong pursuit of artificial general intelligence — and an unshakeable belief that the technology he's creating will change everything about what it means to be human. Oz speaks with journalist and author Sebastian Mallaby about his new book, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence, tracing Demis's extraordinary journey from chess prodigy to the man at the center of the most consequential technological race of our time. See omnystudio.com/listener for privacy information.