Podcasts about DeepMind

Logan Kilpatrick is a member of the technical staff at Google DeepMind. In this conversation, we break down whether Google is actually behind in the AI race, the strategy behind Gemini 4's massive pre-training run, and how DeepMind decides between chasing general intelligence versus building specialized products. We also discuss China's open-source AI labs and why measuring real progress toward AGI might be harder than building the models themselves.=====================Arch Public is an agentic trading platform that automates investment strategies across Stocks, Commodities, ETFs and Crypto. Whether you're rotating into AI & Gold, allocating to the S&P 500, or accumulating Bitcoin, Arch Public executes your plan 24/7 without ever taking custody of your assets or funds. Sign up today at https://www.archpublic.com, and start your FREE automated trading strategy! =====================TOKEN2049 returns to Singapore on October 7–8 at Marina Bay Sands. The world's largest crypto event. 25,000 attendees, 300 speakers, 1,000 side events and the whole industry in one place for two days, into the F1 weekend. Get 10% off your ticket with code POMP10 at https://token2049.com/singapore=====================Simple Mining makes Bitcoin mining simple and accessible for everyone. We offer a premium white glove hosting service, helping you maximize the profitability of Bitcoin mining. For more information on Simple Mining or to get started mining Bitcoin, visit https://www.simplemining.io/pomp=====================0:00 - Intro0:51 - Is Google behind in the AI race?2:47 - Frontier commitment & the Gemini 4 pre-training run8:31 - Build vs. buy: Google's AI acquisition strategy13:13 - Chinese AI labs, competitors & filtering the hype19:03 - The ambition problem & where Google chooses to compete21:39 - General intelligence vs. specialized AI products35:01 - Inside DeepMind: Genome research & the innovation flywheel41:52 - Kaggle & the race to actually measure AI progress48:25 - The AI data economy: why data is the new bottleneck

The TWiST AI Basics series is made possible by Google for Startups! Build context-aware AI workflows using DeepMind models and orchestration tools with Google for Startups' new Startup technical guide on generative media. Get the guide here: https://goo.gle/technical_guide   Today's show: The demo works, the vibes are immaculate, but then the app falls apart the second real users touch it. On today's AI Basics, Temporal co-founder and CEO Samar Abbas says the problem isn't with the model at all. You're missing a harness, the layer that keeps an AI agent's work durable, secure, and recoverable if/when something breaks. Temporal's durable execution platform is used by major companies from OpenAI to Stripe to Netflix, and helps to make their long-running software reliable and interruption-free. On AI Basics, he explains why so many AI-coded prototypes die in the imagineering stage, before ever hitting production. Plus he walks Jason through Temporal's live dashboard, to show how it gives developers full visibility into what their agents are doing at every step. Guest and Relevant Links: Samar Abbas on X: https://x.com/SamarAtTemporal Temporal: https://temporal.io/ Temporal raises $550M at a $12.55B valuation: https://temporal.io/blog/temporal-raises-usd550m-series-e-at-usd12-55b-valuation-ai GeekWire: Samar Abbas on the "massive platform shift" in AI: https://www.geekwire.com/2026/temporal-ceo-samar-abbas-on-the-massive-platform-shift-in-ai-fueling-the-startups-5b-valuation/ Temporal expands Google Cloud partnership: https://temporal.io/blog/temporal-expands-google-cloud-partnership-with-pay-as-you-go-pricing Timestamps: 0:00 Why every startup needs an AI harness 2:12 Why 90% of AI prototypes never reach production 4:16 What happens when an agent crashes mid-task 7:00 A look at Temporal's dashboard 13:02 OK but what is a "harness" exactly? 15:30 When to graduate an agent from laptop to production 17:44 Organizing agents into teams Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis   Thank you to our partner! Build context-aware AI workflows using DeepMind models and orchestration tools with Google for Startups' new Startup technical guide on generative media. Get the guide here: https://goo.gle/technical_guide Check out all our partner offers: https://partners.launch.co/   Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland   Check out our suite of newsletters: https://substack.com/@thisweekininc   Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

Nature staff discuss an AI tool that can assess the impact of nine billion mutations — plus, how the Bunsen burner's reputation for sterilization may be based on tradition alone.00:21 Deepmind's new tool helps scientists find the impact of mutationsNature: DeepMind's new genome ‘atlas' charts effects of all nine billion human gene mutations07:10 Bacteria can still contaminate plates near to active Bunsen burnersNature: Bunsen burners' reputation for sterilizing workplaces flames out Subscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday. Hosted on Acast. See acast.com/privacy for more information.

Nikolai Yakovenko is back on the podcast because of the Hugging Face hack. Yakovenko is a former professional poker player, and was a research scientist at Google, Twitter and Nvidia. With a decade in computer science, Yakovenko has been at the forefront of the large-language-model revolution that has driven to prominence companies like OpenAI, Anthropic, and DeepMind, and an ecosystem that has birthed hundreds of smaller startups. He is also the founder of DeepNewz, an AI-driven news startup. His latest startup is HuggingNews. Razib and Yakovenko talk about the implications of OpenAI's inadvertent hack of Hugging Face, and whether he has been too sanguine about the possibility of AI-apocalypse. Though Yakovenko hasn't gone full doomer, he admits that this sort of behavior by AI agents is alarming. That being said, he cautions we need to keep perspective. They also discuss predictions of the coming obsolescence of software engineers…Yakovenko notes that in some ways Dario Amodei was correct to predict the end of software engineering as a profession: very few write code unaided by LLMs today. In a few years, many professions, especially in tech, have transformed, but warnings of mass unemployment have not materialized.

Are you an overachieving sales leader, director, or enterprise tech executive feeling trapped by the assumption that your only choices are grinding up the rigid corporate ladder or risking everything by walking away?   In this thought-provoking solo episode, host Billy Keels explores the profound lessons hidden inside Rick Rubin's book The Creative Act: A Way of Being, drawing a direct parallel between modern career design and the legendary board game Go, a game played for over 3,000 years. Billy breaks down the famous "Move 37" executed by DeepMind's AlphaGo artificial intelligence, a move so unprecedented that it shocked the world's greatest master because it completely ignored 30 centuries of human limiting beliefs. Discover how adopting a true beginner's mind (innocent ignorance) allows you to strip away standard corporate conditioning, break free from conventional linear promotion steps, and execute your own "Move C," allowing you to continuously overperform in your corporate role while simultaneously building a high-impact, independent side venture that puts you in complete control of your time and income.  

Full Show Noteshttps://www.theintelligenceagepodcast.com/839Mark Smth speaks with Ashish Bhatia about how his move from Microsoft to Audible changed the way he thinks about customers, AI, and product design. The conversation centers on personal AI, running OpenClaw locally, and why owning your memory, workflows, and data matters more as AI systems become more capable.They also explore Audible's role in learning, the future of interactive audio, and how agents are beginning to replace clunky app-based workflows with more direct, personalized experiences.Key topicsAshish explains the shift from B2B at Microsoft to B2C at Audible, and how that changes the way you learn from customersHe shares why personal AI matters to him more than ever, especially when it involves health data, finances, and memoryMark describes building a large OpenClaw setup with 26 agents, including a nine-agent DevOps team and automated bug fixingThey discuss why running AI locally teaches real systems thinking through failure, debugging, and repeated iterationAshish talks about using OpenClaw to manage daily life, including lunch ordering through Grubhub as a mission-critical workflowThe conversation highlights the importance of owning your memory and being able to move your AI system across machines and platformsThey explore the idea of the death of UI, where agents increasingly bypass app interfaces and handle tasks directlyMark raises concerns about AI companies ingesting books and content, leading to a discussion of copyright, hypocrisy, and cultural attitudes toward booksAshish shares how Audible supports different learning styles, especially for commuters, slow readers, and people who learn better through audio plus textHe outlines Audible's direction toward interactive, multilingual audiobooks with AI-powered recall, discovery, and personalizationResource Recommendations:The Infinity Machine - Demis Hassabis - Amazon.com: The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence: 9780593831847: Mallaby, Sebastian: BooksThe Thinking Machine - Jensen Huang - The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip: Witt, Stephen: 9780593832691: Amazon.com: BooksSapiens - Yual Noal Harari - Sapiens: A Brief History of Humankind eBook : Harari, Yuval Noah: Amazon.ca: Kindle StoreThe Apple Podcast that I have curated - https://podcast.ashish-bhatia.com/feed.xmlAshish Bhatia's website - ashish-bhatia.comIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Микс с моей авторской музыкой, в трёх частях (тут первая), записанный ранее по просьбе Андрея Малинова. SUNO тут нет, всё сделано ручками :) Другие части и другие миксы: promodj.com/alexyenov/groups/7… Info: site: promodj.com/alexyenov page: vk.com/alexynov name Alexy.Nov (Alexey Sosnov) Place: Moscow/Russia Music styles: Ambient, New Age, New Age, Electronic, Relax, Experimental Devices: Hardware Yamaha SY99 (FM synth), Yamaha Motif XF7 (AWM2 synth), DeepMind 12 (Analog synth), Eventide Space (reverberator), Korg TP-2 (Tube compressor), DBX Quantum II (Digital mastering processor), Focusrite PRO40 (Audio card). Software: FL Studio, VST/VSTi, T-Racks Interview 2014 year (russian): cdn.promodj.com/users-kit/00/0… 00:00 Alexy.Nov - Mission of Infinity (alternate version) 08:30 Alexy.Nov - Whisper of the Sky 10:14 Alexy.Nov - And Only Stars Our Friends 16:13 Alexy.Nov - Dream in Anabiosis (2016 version) 21:45 Alexy.Nov - Space Emotions (part I) 24:40 Alexy.Nov - Gloomy Clouds (alternate version) 39:55 Alexy.Nov - Blue Clouds (dream version) 49:47 Alexy.Nov - Meditative Fantasies (part II)

Микс с моей авторской музыкой, в трёх частях (тут вторая), записанный ранее по просьбе Андрея Малинова. SUNO тут нет, всё сделано ручками :) Другие части и другие миксы: promodj.com/alexyenov/groups/7… Info: site: promodj.com/alexyenov page: vk.com/alexynov name Alexy.Nov (Alexey Sosnov) Place: Moscow/Russia Music styles: Ambient, New Age, New Age, Electronic, Relax, Experimental Devices: Hardware Yamaha SY99 (FM synth), Yamaha Motif XF7 (AWM2 synth), DeepMind 12 (Analog synth), Eventide Space (reverberator), Korg TP-2 (Tube compressor), DBX Quantum II (Digital mastering processor), Focusrite PRO40 (Audio card). Software: FL Studio, VST/VSTi, T-Racks Interview 2014 year (russian): cdn.promodj.com/users-kit/00/0… 00:00 Alexy.Nov - 2014 (Beginning) 03:30 Alexy.Nov - Deep Dreams 12:01 Alexy.Nov - Invisible Proximity 16:38 Alexy.Nov - Easy Whiff of Grief 23:22 Alexy.Nov - Stratification Theme 26:40 Alexy.Nov - Deep in doloures (Main theme) 32:07 Alexy.Nov - Imaginations in Twilight Dew (part II) 45:28 Alexy.Nov - Winter Tale (alternate version) 53:36 Alexy.Nov - Zeleznovodsk's Forest (part II) (alternate version)

Микс с моей авторской музыкой, в трёх частях (тут третья), записанный ранее по просьбе Андрея Малинова. SUNO тут нет, всё сделано ручками :) Другие части и другие миксы: promodj.com/alexyenov/groups/7… Info: site: promodj.com/alexyenov page: vk.com/alexynov name Alexy.Nov (Alexey Sosnov) Place: Moscow/Russia Music styles: Ambient, New Age, New Age, Electronic, Relax, Experimental Devices: Hardware Yamaha SY99 (FM synth), Yamaha Motif XF7 (AWM2 synth), DeepMind 12 (Analog synth), Eventide Space (reverberator), Korg TP-2 (Tube compressor), DBX Quantum II (Digital mastering processor), Focusrite PRO40 (Audio card). Software: FL Studio, VST/VSTi, T-Racks Interview 2014 year (russian): cdn.promodj.com/users-kit/00/0… 00:00 Alexy.Nov - Some 02:23 Alexy.Nov - Awful Сold (instrumental version) 06:00 Alexy.Nov - July drops (ambient edition) 13:13 Alexy.Nov - End of Spring 16:08 Alexy.Nov - Dance of the White Butterfly 21:21 Alexy.Nov - Nice Wonder 26:42 Alexy.Nov - In Your Heart 30:56 Alexy.Nov - Neversus 35:22 Alexy.Nov - August 39:23 Alexy.Nov - Good Mood 44:42 Alexy.Nov - Whisper of Stars 50:44 Alexy.Nov - Road of Heart 54:00 Alexy.Nov - November Improvisation

Don't think the weather forecast is accurate? Google says it's given it an upgrade Google's DeepMind has released their latest weather forecast model that has been improved thanks to AI. Using more real-time data than traditional forecasts (and their own previous models), WeatherNext 3 uses hourly satellite data to makes its predictions. They can create these hourly forecasts now at a 5-kilometer resolution and take into account the local landscape... so if you're in a valley, up a mountain, etc. This new model is five times more detailed than WeatherNext 2, which also only updated four times a day. They claim forecasts are up to 50% more accurate. To explore their full capabilities, search for "google weather lab" – there is a global rain radar, wind, and temperature maps. They're doing 15 day weather forecasts, broken down hour by hour. Or just use Google to search for the weather where you are – it's already been added globally to Google Search, Gemini, and more. The new era of Apple is here September 1st saw John Ternus take over as CEO. The geeks are excited because John is a hardware guy, so they think there'll be a lot more focus on innovation. The things released next week at the 'Surprise and Shine' event will be things his team has designed and developed (but under Tim Cook) and according to reporting at Bloomberg, they were a key reason why Cook stepped away ahead of the launch – to give him the best foot forward. We're expecting a folding iPhone (possibly called the iPhone Ultra - I personally hope they give it a new name like iFold to create something totally new, but who knows) but don't expect it to be cheap, as it's believed to start at US$2,000, and a touch screen MacBook. And on Thursday NZT, we'll see it revealed in a live Apple event, rather than the pre-recorded ones that started during the pandemic. LISTEN ABOVE See omnystudio.com/listener for privacy information.

A Google tavaly novemberben sokkolta az AI-ipart a Gemini 3-mal, de azóta csak a ChatGPT, a Claude és a kínai modellek rivalizálásáról lehet hallani. Pedig 2017-ben a Google tette le az egész mai chatbotkorszak alapjait – igaz, a legnagyobb úttörők az elmúlt hónapokban elhagyták a céget.See omnystudio.com/listener for privacy information.

The world is barreling towards disaster on many fronts. Crises include: climate change, depopulation, government debt, sagging welfare states, housing affordability, healthcare affordability, political polarization, government paralysis.By 2050 they will all be irrelevant, as will the structures trying to grapple with them.SOURCES:Kokotajlo, Daniel, et al. AI 2027. ai-2027.com. Kokotajlo, Daniel. "What 2026 Looks Like." 2021.Amodei, Dario. "Machines of Loving Grace." 2024.TechTimes. "OpenAI GPT-5 Biological Risk Classification." July 27, 2026.Axios. "The AI Titans' Biggest Private Fear." July 24, 2026.Center for a New American Security (CNAS). "AI and the Evolution of Biological National Security Risks." August 2024.AI Incident Reporting Act. 2026.AI Kill Switch Act. 2026.Schneier, Bruce. "AI Surveillance Is Being Supercharged." Schneier on Security, July 2026.DeepMind. "AlphaFold: Five Years of Impact." 2024.Bostrom, Nick. "The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents." Minds and Machines, 2012.Bostrom, Nick. "Astronomical Waste: The Opportunity Cost of Delayed Technological Development." Utilitas, 2003.Vinge, Vernor. A Fire Upon the Deep. Tor Books, 1992.Freitas, Robert A., Jr. "A Self-Reproducing Interstellar Probe." Journal of the British Interplanetary Society, vol. 33 (1980): 251–264.Wikipedia. "Great Horse Manure Crisis of 1894."Oxford Academic. Book chapter on William Crookes and the wheat-supply crisis (1898 address to the British Association for the Advancement of Science).Jevons, William Stanley. The Coal Question: An Inquiry Concerning the Progress of the Nation, and the Probable Exhaustion of Our Coal-Mines. Macmillan, 1865.Ricardo, David. "On Machinery." Chapter 31, On the Principles of Political Economy and Taxation, 3rd ed. John Murray, 1821.United Kingdom. Report of the Inter-Departmental Committee on Physical Deterioration. 1904.Vinge, Vernor. "The Coming Technological Singularity: How to Survive in the Post-Human Era." Hosted on Acast. See acast.com/privacy for more information.

Plus: Google moves AI responsibility unit out of DeepMind. And the FBI disrupts a China-linked hacking network. Julie Chang hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Teaser ... The Infinity Machine, Sebastian's book about Demis Hassabis ... Why tell the AI story through Hassabis? ... Hassabis vs the other AI titans ... Does Hassabis have a messiah complex? ... Deep learning's secret sauce ... Did world models cost DeepMind its LLM lead? ... Why they call Hassabis “the Jedi” ... Heading to Overtime ...

How can leaders use data to make better decisions and drive real change? In this episode, Kevin talks with Sebastian Wernicke about why so many organizations invest heavily in data and AI yet still struggle to achieve breakthrough results. Sebastian explains the difference between being data-driven, data-frustrated, and data-inspired. He believes that data should not only confirm and optimize what organizations already do but also challenge assumptions, reveal unexpected possibilities, and inspire new directions. They explore common myths about data, including the belief that it is always objective, that deeper analysis will automatically reveal the right answer, and that complex decisions can be reduced to a simple yes or no. Sebastian also shares why leaders must balance depth with decisiveness and become more comfortable with uncertainty and probability. They also discuss the opportunities and risks of AI, particularly its tendency to fill in gaps and generate appealing answers based on hidden assumptions. About Sebastian Wernicke Sebastian Wernicke, Ph.D., is the author of Data Inspired: Building an Organizational Culture of Inquiry for Lasting Transformation. He is a partner at Oxera Consulting, one of Europe's oldest economics and finance consultancies, where he leads the data science and AI practice. Sebastian is a leading expert in data and AI strategy and a former Chief Data Scientist. For two decades, he has guided organizations around the world to achieve breakthrough transformation through the power of data. His ability to make complex topics around data accessible, engaging, and actionable has made Sebastian a sought-after speaker and workshop facilitator. His three acclaimed TED Talks have reached over 5 million viewers. For more information, follow Sebastian Wernicke on LinkedIn or visit www.datainspired.org. Resources Mentioned Data Inspired: Building an Organizational Culture of Inquiry for Lasting Transformation by Sebastian Wernicke Flexible Leadership: Navigate Uncertainty and Lead with Confidence by Kevin Eikenberry  The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence by Sebastian Mallaby Timestamps 0:00 Introduction — why "data driven" isn't the whole story 1:55 Meet Sebastian Wernicke & his book, Data Inspired 3:13 Why Sebastian wrote the book 6:02 Data driven vs. data frustrated vs. data inspired 10:33 The 3 myths about data — setting the stage 11:48 Myth #1: Data isn't objective truth 13:18 Myth #2: The three TV shows example 17:15 Myth #3: Data won't give you a clean yes-or-no 18:37 Embracing complexity (and getting comfortable with discomfort) 20:04 Why this is really a culture problem, not a tech problem 23:08 Balancing depth and decisiveness in decision-making 26:09 Machine learning vs. today's AI — what's actually different 30:29 Resisting the "AI will make it easy" temptation 32:09 Purpose first, data second 34:14 What Sebastian's reading & where to find him 36:19 Closing: what are you going to do about it? ---

“If we continue to build for people and not with people, we won't have a say in what this technology will look like or do in ten or twenty years.” — Salima Bhimani Finally some inventive news in our summer of Luddite discontent. Salima Bhimani spent six and a half years at Google X's moonshot factory as its first Chief Strategist for Responsible Tech. So thank her for the (responsible) magic of Alphabet's Waymo, Wing, and DeepMind. In her new book, Invent Now, Bhimani provides a map for the next wave of moonshots. No, she speculates, they probably won't come out of Silicon Valley. But, yes, they will come from somewhere. Her invention was formed long before Silicon Valley. She remembers staring at the Toronto subway from her father's magazine stall and wondering not where the trains went but “what is our relationship to this tube?” An ethnographer by training, Bhimani arrived at Google X from a world of government and nonprofits where “constraint was bread and butter.” At Alphabet, of course, she was spoilt with endless money and runway. Although that didn't always guarantee moonshot success. Moonshots fail, she explains, because they are always more than technologies. They are ecosystems, and they need the approval of regulators, communities, and consumers. Take, for example, the abortive Sidewalk Labs, Alphabet's smart-city bet in her hometown of Toronto, which failed to recognize the practical realities of utopian city-planning. So what will be the most dramatic moonshot of the twenty-first century? No, she says, it probably won't be consumer rocketships to Mars or a cure for cancer. Instead, it will be about a post-labor society. What is human purpose when it's not work? No wonder such an outrageous idea probably won't come out of work-obsessed Silicon Valley. Five Takeaways •       A Nuanced Optimist. Bhimani isn't surprised by the Luddite lurch: people feel “compressed by things they can't control,” surrounded by technology doing things they don't understand — and it's hot out. But against thirty years of Silicon Valley boosterism she offers neither cheerleading nor despair: hold the tension. Technology surveils, and drones make war; technology also lets more people solve problems that were previously unsolvable. She refuses the binary of the moment — the abundance gospel of the Andreessens versus the scarcity warnings of James Crawford — predicting instead “abundance in some areas and scarcity in others”: your spreadsheet skills may become worthless precisely as your capacity to build becomes unprecedented. The task is holding both truths with what she calls a discerning eye, treating technology as a co-partner in a relationship where the friction stays alive.•       From the Toronto Subway to the Moonshot Factory. Her father ran a magazine stall in the Toronto subway, and young Salima stared at the trains asking an ethnographer's question: not where are the people going, but “what is our relationship to this tube?” She came to Alphabet from government and nonprofits, where “constraint was bread and butter” — and met the opposite: endless money, endless runway, and audacity as the house style. As Alphabet's first Chief Strategist for Responsible Tech, she sat with the CEOs of the Other Bets asking about trade-offs: “Are you willing to take on the potential that your drone could be used in nefarious ways — and how are you gonna ensure that doesn't happen?” Now on her own — no Google badge to fly doors open — she finds leaving “opens up the aperture”: fifty-one years of experience, and both worlds, constraint and abundance, informing everything she builds.•       She Folded Her Own Moonshot. The episode's quiet bombshell: after leaving Alphabet, Bhimani co-founded a drone-detection company — and discovered what it feels like when the awkward questions are aimed at you. The full-stack solution she was building could genuinely help cities and communities; it could also be used for “all kinds of nefarious things.” Intention, she warns, is “pie in the sky when people actually are impacted”: the moment to map the worst case is now, not five years after your technology is loose in the world — because you will have to live with the choices you make. Some people can live with the range of implications; she and her co-founders decided they couldn't: “We folded our drone company because the implications are not something that any of us could have lived with.” Responsible tech, practiced on herself.•       Moonshots Are Ecosystems (Ask Sidewalk). The factory's deepest lesson: a moonshot is never just a technology. Wing isn't drones — it's regulators, safety, and whether communities want packages falling on their porches; the ecosystem must come first, not at the last mile. Sidewalk Labs — Alphabet's smart-city bet in her own Toronto — consulted widely, meant well, and died anyway on public distrust of big tech's data appetite: an early tremor, Andrew suggests, of today's earthquake against data centers, and evidence of a “massive gap” between society and technology that still hasn't closed. Google fumbling Geoffrey Hinton's generative breakthrough shows the other constraint: inside a company the size of a country, innovation must also become the next billion-dollar business. The counterexample is Waymo — sixteen years of perseverance toward John Krafcik's bigger mandate (self-driving technology, cars merely one expression) — and perhaps Demis Hassabis, whom the latest reshuffle might just free “to be Demis.”•       Step In, Not Stepped Out. AI wasn't born yesterday — it spent thirty or forty years in labs, integrated into our lives in the background — and that incubation is precisely her warning: “If we continue to build for people and not with people, we won't have a say in what this technology will look like or do in ten or twenty years.” The large language models belong to “the Googles and the Anthropics,” and most of us aren't inside those companies. Her flip: if such powerful things were built in incubated spaces, imagine what could be built in unincubated ones — collective intelligence as our superpower, moonshots born from the convergence of places, people, and contexts rather than from Silicon Valley's playbook. The century's biggest moonshot, she suspects, is labor itself: what is human purpose when it's not work? Her closing instruction, and the episode's stamp: “We gotta step in and not be stepped out.” About the Guest Salima Bhimani, PhD, was Alphabet's first Chief Strategist for Responsible Tech, Business, and Leaders, working for six and a half years with moonshot companies including Waymo, Wing, DeepMind, and Google X. An ethnographer by training who came to Silicon Valley from government and nonprofits, she is now CEO of 10X Responsible Tech and a senior fellow at AI 2030. Invent Now: The Next Leap in Moonshots (John Wiley & Sons, 2026), her first book, introduces the Third Space — a new lens for building moonshots from the convergence of technolog...

Key Topics Artificial intelligence as a world-changing technology The promise and risks of AI AI's potential to improve science and medicine Power, agency, and democracy in the AI era The US-China race for AI dominance China's centralized approach to AI development Europe's role in AI governance and sovereignty Why infrastructure and data centers matter for AI The tension between innovation and regulation Safety concerns from AI lab leaders themselves How AI could affect jobs, markets, and national security The need for transparency, accountability, and public oversight How political backlash could shape future AI policy The possibility of global AI guardrails and coordination Links Sebastian Mallaby — https://www.cfr.org/experts/sebastian-mallaby Evan Osnos — https://www.evanosnos.com/ Marietje Schaake — https://cyber.fsi.stanford.edu/people/marietje-schaake Belfer Center for Science and International Affairs — belfercenter.org World Review with Ivo Daalder — belfercenter.org/world-review-ivo-daalder

The TWiST AI Basics series is made possible by Google Cloud! Build context-aware AI workflows using DeepMind models and orchestration tools with Google for Startups' new Startup technical guide on generative media. Get the guide here: https://goo.gle/technical_guide Astrocade is building super-intelligence for the interactive world. Build the future of fun: https://www.astrocade.com/careers Today's show: *Making a video game once required a studio, an engine, and a team of five or more people working for six months. But with Astrocade, users just describe the game they'd like to play and share, and an AI assembles it from minutes, ready to publish to a TikTok-style feed. Still, founder and CEO Amir Sadeghian tell us AI can't actually build a great game all on its own. The magic isn't just in the automation, but the user's creativity and good taste. Amir demos how the app turns simple sentences and descriptions into full video games, explains why frontier models still regress to the mean rather than pushing boundaries, and unpacks how the game's human-in-the-loop workflow can turn even generic ideas into something original and fun. Guest: Amir Sadeghian on X: https://x.com/_amirabs Astrocade: https://www.astrocade.com/ Relevant Links Flappy Bird: https://flappybird.io/ Plants vs. Zombies: https://www.ea.com/ea-studios/popcap/plants-vs-zombies MrBeast on YouTube: https://www.youtube.com/@MrBeast Google's Nano Banana Pro: https://nanabananapro.com/ Timestamps: 0:00 Welcome to AI Basics, presented by Google Cloud 0:44 Amir Sadeghian, CEO of Astrocade joins 1:08 What is Astrocade and how does it work? 2:58 From describing to publishing: the TikTok for games 3:37 Amir's origin story: four continents, one vision 5:11 Why making games used to require years of training 6:46 The watermelon juice theory of product friction 7:35 Taste as the new programming language 14:18 Personalizing games with your own images 15:23 From consumer to prosumer: can you make a living? 16:22 Astrocade's creator fund and new creator economy 17:07 Open roles at Astrocade 18:10 Why play is the most universal human language 19:43 Google Cloud, Gemini, and wrapping up   Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp   Follow Lon: X: https://x.com/lons   Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis   Thank you to our partners! Build context-aware AI workflows using DeepMind models and orchestration tools with Google for Startups' new Startup technical guide on generative media. Get the guide here: https://goo.gle/technical_guide Astrocade is building super-intelligence for the interactive world. Build the future of fun: https://www.astrocade.com/careers   Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland   Check out Jason's suite of newsletters: https://substack.com/@calacanis   Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com

Fresh out of the studio, Ang Li, CEO and co-founder of Simular and previously a research scientist at Google DeepMind, joins us to explore why computer use is the last mile to AGI. Ang traces his path from studying catastrophic forgetting and continual learning at DeepMind to founding a company on a single conviction: models break in production because the data distribution never stops moving, and the only place to close that loop is the real world. He explains why the chatbot metaphor misleads enterprise buyers, why the right unit of measurement is tokens per task rather than price per token, and how the power law of practice should make an agent cheaper every time it repeats the same work. He separates capability from reliability through pass@k and pass^k, argues that deterministic work belongs in code rather than in a model, and makes the case that frontier labs exist to sell tokens while Simular exists to remove them. Last but not least, Ang shares his test for AGI — one you feel rather than see — and what it will take to bring autonomous work down to the cost of water."So when I go to the gym, [doing] the same workout everyday, as I do this more and more, more reps, more sets, I don't even need to think. It's called muscle memory. I just do the same in a standard way, my consumption or my tokens in my brain dramatically drops. And there's a term describing this behavior in human cognition called 'the Power Law of Practice'. So that's the whole idea. Do we see power law practice in AI agents? We don't have that yet."Profile: Ang Li, CEO and co-founder of Simular AI X: https://x.com/angli_aiLinkedIn: https://www.linkedin.com/in/angli-ai/Simular AI: https://simular.aiEpisode Highlights: [00:00] Quote of the Day by Ang Li from Simular[01:09] Why AGI arrives through the mouse and keyboard[02:27] Legacy systems with no APIs block automation[03:45] Computer use is the last mile[04:05] One device, a hundred agents in the cloud[05:51] The gap between research and production[07:45] The day Covid became a dominant search keyword[08:13] Continual learning over evolving distributions[09:21] Catastrophic forgetting remains unsolved[10:11] Why the learning loop requires a product[11:04] Why AGI must be built commercially, not academically[12:23] Chat versus work: two different problems[13:40] Every company needs a repeatable playbook[15:10] Tokens per task beats price per token[16:13] Same task 100 times, 100 times the tokens[16:34] The gym analogy and the power law of practice[18:18] Where the scaling frame breaks for computer use[20:46] Why AGI will not be a single model[21:43] The 72.6% peak versus repeated-run reliability[22:32] Hiring analogy: the interview versus daily work[25:22] Replaying trajectories to drive token cost down[26:17] The idea almost nobody in the industry discusses[29:01] Democratising autonomous computers to the cost of water[30:26] SMBs, not enterprises, are the real market[32:59] Why healthcare and insurance came inbound[34:06] Launching Sai on Windows virtual machines[34:38] Simulang and the unity of opposites[35:52] Frontier labs sell tokens; Simular removes them[38:01] The hidden cost of self-hosting open models[39:23] Why CPU and memory matter more than GPU[41:10] You only have two hands: the physical constraint[42:48] The AGI test you feel rather than see[44:19] Why humanoids take longer than software[45:23] The motivation: doing your work from the forest[47:03] What Great Look Likes for Simular AI[48:34] ClosingPodcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format.

Change your foundational identity statements while your conscious defense structures are asleep. These pure "I AM" affirmations implant resilience, prosperity, and peace. Unwind now with our positive sleep affirmations podcast. Our soothing affirmations relax the mind and prepare the body for rest. Hit play, and drift into Good Sleep... Listen to more positive sleep affirmations by subscribing to the audio podcast in your favorite podcast app:  Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/good-sleep-positive-affirmations/id1704608129⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/3OuJvYoprqh7nPK44ZsdKE⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ And start your morning with Optimal Living Daily! Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/optimal-living-daily-mental-health-motivation/id1067688314⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/1hygb4nGhNhlLn4pBnN00j?si=ca60dcfd758b44b4⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Change your foundational identity statements while your conscious defense structures are asleep. These pure "I AM" affirmations implant resilience, prosperity, and peace. Unwind now with our positive sleep affirmations podcast. Our soothing affirmations relax the mind and prepare the body for rest. Hit play, and drift into Good Sleep... Listen to more positive sleep affirmations by subscribing to the audio podcast in your favorite podcast app:  Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/good-sleep-positive-affirmations/id1704608129⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/3OuJvYoprqh7nPK44ZsdKE⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ And start your morning with Optimal Living Daily! Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/optimal-living-daily-mental-health-motivation/id1067688314⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/1hygb4nGhNhlLn4pBnN00j?si=ca60dcfd758b44b4⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

When Demis Hassabis co-founded DeepMind in 2010, his mission was simple: solve intelligence, then use it to solve everything else. What began as a scientific quest would eventually become a fierce global AI race.  Today, DeepMind is owned by Google and is one of the world's leading AI labs. Journalist and author Sebastian Mallaby spent years interviewing Hassabis, his collaborators, rivals and critics for his new book, The Infinity Machine. It tells the story of the remarkably small group of people who shaped modern AI. When we recorded this conversation, Hassabis was still CEO of DeepMind, caught between the science he wanted to pursue and the commercial race Google needed him to run. Hours later, he announced he was stepping down as CEO to become Alphabet's (Google's parent company) chief scientist. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today we are talking with Vignesh Baskaran, the CTO and co-founder of Hexo Labs, about teaching AI agents to improve themselves. Vignesh has been training neural networks since 2012, back when he was still called a data scientist. Then he became an ML engineer and now an AI engineer, though he says the underlying work has never really changed. It's to figure out how to make a system behave the way you intend it to. He built the litigation search engine that Google itself became a customer of, and now he's chasing something new, agents that rewrite and retrain other agents without a human in the loop. We dig into Sia, the meta-agent at the center of Hexo's research, and why improving an agent means touching both its harness and its actual model weights, not just one or the other. We talk about proxy evals for when you don't have much to ground truth. The Darwin-Gödel machine and why formal verification is too strict a bar for anything commercial. How Hexo's work echoes DeepMind's Alpha lineage from AlphaGo to AlphaEvolve, and the spectrum from clearly verifiable to totally subjective tasks? Why VAE evals are quietly wrecking agent quality across the industry, and a great story about an agent that discovered a customer's own eval file was silently corrupted, something buried in hundreds of thousands of traces that no human would have caught.

Gary Rivlin — Multi-Part, Part One: Gary Rivlin, author of AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence, explores the origins and personalities driving the modern artificial intelligence revolution. Rivlin begins by demythologizing AI, focusing on central figures such as Reid Hoffman, a polymath whose childhood obsession with strategy games and thirst for human connection led him to co-found LinkedIn and become a premier venture capitalist. Hoffman represents the bloomer perspective, an optimist who sees AI as a co-pilot to amplify human intelligence. The narrative highlights the interconnectedness of Silicon Valley, tracing the friendships and debates between Hoffman, Peter Thiel, and Elon Musk that date back to their early days at PayPal. The history of AI is traced to Frank Rosenblatt's 1950s vision of neural networks, which aimed to create machines that learn as humans do. This approach was long ridiculed by proponents of rules-based computing, leading to decades of AI winters in which funding and interest evaporated. The revival came in the 2010s with Mustafa Suleyman and Demis Hassabis, whose London-based startup DeepMind proved that neural networks could master complex tasks through feedback. After Google acquired DeepMind in 2014, Elon Musk, fearing a corporate monopoly on the technology, co-founded OpenAI as a nonprofit. The discussion concludes with the rise of Sam Altman and the 2017 Transformer paper, a breakthrough from Google researchers that allowed computers to understand context, ultimately enabling generative AI and ChatGPT. (1)

Alphabet chief scientist Demis Hassabis has been discussing the formation of an independent AI safety entity with AI lab peers and government officials. WSJ reporter Amrith Ramkumar takes us inside those conversations, and what the move means for Google. Plus, meet the datamaxxers who are feeding AI chatbots their every health move. WSJ reporter Natalie Kaufman discusses the trend. Belle Lin, a reporter for the Wall Street Journal Leadership Institute, hosts. Sign up for the WSJ's free Technology newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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

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.

El episodio 122 llegó con secretos, conspiraciones y oportunidades que nadie está viendo.Arrancamos con el Mundial. Lucas no puede aceptar que Argentina jugó mal y eligió creer en todas las teorías conspirativas. La más elaborada: un pacto entre Infantino, la UEFA y los Kushner donde Argentina se dejó perder a cambio de no sancionar a la AFA y darle el negocio de la FIFA a un nuevo vehículo de inversión valuado en 20 billones. La lógica detrás de Thrive, el fondo de Kushner, es fascinante: creen que con AI el mundo digital se va a saturar y el futuro está en las experiencias en vivo. Deportes y conciertos primero.Después viene el dato que nadie dice en voz alta: una de las fintechs más grandes y conocidas de Latinoamérica hace una parte importante de su plata con apuestas online y pornografía. Está vista como una fintech innovadora. El negocio real es otro.También hablamos de la ronda semilla más grande de la historia de LatAm: 85 millones de dólares para Decade Wealth, fundada por el ex-CTO de Nubank, con Benchmark como lead. Un movimiento que apuesta a democratizar la banca privada en la región donde históricamente fue terrible.Luego el debate sobre emprender después de los 50. Jeff Dean, empleado número 30 de Google y responsable de DeepMind, Gemini y TensorFlow durante 27 años, acaba de anunciar que se va a emprender. La conclusión: los mejores emprendedores de 50 son los que llegaron al máximo en su campo, no los que recién arrancan.Mickey Malka, uno de los inversores más importantes de LatAm, publicó su nueva tesis de inversión de 40 páginas. Su diagnóstico: el mundo se quedó sin energía para soportar la AI. Su apuesta: generación, almacenamiento, traslado y comercialización de energía son el próximo gran mercado. El mismo que fue fintech, ahora va por la energía.Cerramos con 7 oportunidades concretas que AI está abriendo para emprender: soledad, desconexión, longevidad, nuevas necesidades de la vejez, micromercados ultra específicos y el tiempo libre que la AI va a generar. Una lista para guardarse.

Autonomous AIs are hacking, collaborating, and outpacing human defenders, raising urgent questions about what happens when the machines start breaking into each other (and potentially us). Plus, a Tucson coder is using AI to reinvent local journalism, exposing how automation could fill the gaps left by shrinking newsrooms. Tucson Daily Brief uses AI to revive local news coverage Data centers boom in Arizona, with harsh environmental impact Amazon's Texas data center to run on polluting natural gas Nuclear and solar debates for sustainable data center power Black Hat and DEF CON: Security pros, hackers, and mohawks OpenAI's runaway AI hack at Black Hat stuns security community AI agents collaborate, evade controls, and break into real-world systems Industry struggles to regulate AI, and defense lags behind automated attackers White House, Congress, and AI execs clash over regulation proposals AI "kill switch" and model bans: pipe dreams in a global race Google's DeepMind shakeup, Demis Hassabis moves upstairs Jeff Dean and key talent exit Google for self-improving AI startup Google, Meta, Apple: AI brain drain and market repercussions Phones stagnate as hardware innovation slows, AI devours chip supply OpenAI teams with Jony Ive on strange new AI-first device Smart glasses privacy backlash and DuckDuckGo's tongue-in-cheek sunglasses Meta fined $942 million by New Mexico court for youth harms Apple sues OpenAI over alleged stolen secrets, countersuits ensue UK revives "Snooper's Charter" for backdoors, Apple fights in secret court License plate readers spark local backlash and privacy activism U.S. water systems face cyber sabotage as critical infrastructure weakens Bending Spoons buys Airtable, fueling SaaS layoffs and AI data grabs Nicholas DeLeon uses AI tools to get fit NASA hacks keep aging Voyager probes alive for another year Host: Leo Laporte Guests: Iain Thomson and Nicholas De Leon Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit NetSuite.AI/TWIT ZipRecruiter.com/twit adaptivesecurity.com superhuman.com

Autonomous AIs are hacking, collaborating, and outpacing human defenders, raising urgent questions about what happens when the machines start breaking into each other (and potentially us). Plus, a Tucson coder is using AI to reinvent local journalism, exposing how automation could fill the gaps left by shrinking newsrooms. Tucson Daily Brief uses AI to revive local news coverage Data centers boom in Arizona, with harsh environmental impact Amazon's Texas data center to run on polluting natural gas Nuclear and solar debates for sustainable data center power Black Hat and DEF CON: Security pros, hackers, and mohawks OpenAI's runaway AI hack at Black Hat stuns security community AI agents collaborate, evade controls, and break into real-world systems Industry struggles to regulate AI, and defense lags behind automated attackers White House, Congress, and AI execs clash over regulation proposals AI "kill switch" and model bans: pipe dreams in a global race Google's DeepMind shakeup, Demis Hassabis moves upstairs Jeff Dean and key talent exit Google for self-improving AI startup Google, Meta, Apple: AI brain drain and market repercussions Phones stagnate as hardware innovation slows, AI devours chip supply OpenAI teams with Jony Ive on strange new AI-first device Smart glasses privacy backlash and DuckDuckGo's tongue-in-cheek sunglasses Meta fined $942 million by New Mexico court for youth harms Apple sues OpenAI over alleged stolen secrets, countersuits ensue UK revives "Snooper's Charter" for backdoors, Apple fights in secret court License plate readers spark local backlash and privacy activism U.S. water systems face cyber sabotage as critical infrastructure weakens Bending Spoons buys Airtable, fueling SaaS layoffs and AI data grabs Nicholas DeLeon uses AI tools to get fit NASA hacks keep aging Voyager probes alive for another year Host: Leo Laporte Guests: Iain Thomson and Nicholas De Leon Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit NetSuite.AI/TWIT ZipRecruiter.com/twit adaptivesecurity.com superhuman.com

Autonomous AIs are hacking, collaborating, and outpacing human defenders, raising urgent questions about what happens when the machines start breaking into each other (and potentially us). Plus, a Tucson coder is using AI to reinvent local journalism, exposing how automation could fill the gaps left by shrinking newsrooms. Tucson Daily Brief uses AI to revive local news coverage Data centers boom in Arizona, with harsh environmental impact Amazon's Texas data center to run on polluting natural gas Nuclear and solar debates for sustainable data center power Black Hat and DEF CON: Security pros, hackers, and mohawks OpenAI's runaway AI hack at Black Hat stuns security community AI agents collaborate, evade controls, and break into real-world systems Industry struggles to regulate AI, and defense lags behind automated attackers White House, Congress, and AI execs clash over regulation proposals AI "kill switch" and model bans: pipe dreams in a global race Google's DeepMind shakeup, Demis Hassabis moves upstairs Jeff Dean and key talent exit Google for self-improving AI startup Google, Meta, Apple: AI brain drain and market repercussions Phones stagnate as hardware innovation slows, AI devours chip supply OpenAI teams with Jony Ive on strange new AI-first device Smart glasses privacy backlash and DuckDuckGo's tongue-in-cheek sunglasses Meta fined $942 million by New Mexico court for youth harms Apple sues OpenAI over alleged stolen secrets, countersuits ensue UK revives "Snooper's Charter" for backdoors, Apple fights in secret court License plate readers spark local backlash and privacy activism U.S. water systems face cyber sabotage as critical infrastructure weakens Bending Spoons buys Airtable, fueling SaaS layoffs and AI data grabs Nicholas DeLeon uses AI tools to get fit NASA hacks keep aging Voyager probes alive for another year Host: Leo Laporte Guests: Iain Thomson and Nicholas De Leon Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit NetSuite.AI/TWIT ZipRecruiter.com/twit adaptivesecurity.com superhuman.com

Autonomous AIs are hacking, collaborating, and outpacing human defenders, raising urgent questions about what happens when the machines start breaking into each other (and potentially us). Plus, a Tucson coder is using AI to reinvent local journalism, exposing how automation could fill the gaps left by shrinking newsrooms. Tucson Daily Brief uses AI to revive local news coverage Data centers boom in Arizona, with harsh environmental impact Amazon's Texas data center to run on polluting natural gas Nuclear and solar debates for sustainable data center power Black Hat and DEF CON: Security pros, hackers, and mohawks OpenAI's runaway AI hack at Black Hat stuns security community AI agents collaborate, evade controls, and break into real-world systems Industry struggles to regulate AI, and defense lags behind automated attackers White House, Congress, and AI execs clash over regulation proposals AI "kill switch" and model bans: pipe dreams in a global race Google's DeepMind shakeup, Demis Hassabis moves upstairs Jeff Dean and key talent exit Google for self-improving AI startup Google, Meta, Apple: AI brain drain and market repercussions Phones stagnate as hardware innovation slows, AI devours chip supply OpenAI teams with Jony Ive on strange new AI-first device Smart glasses privacy backlash and DuckDuckGo's tongue-in-cheek sunglasses Meta fined $942 million by New Mexico court for youth harms Apple sues OpenAI over alleged stolen secrets, countersuits ensue UK revives "Snooper's Charter" for backdoors, Apple fights in secret court License plate readers spark local backlash and privacy activism U.S. water systems face cyber sabotage as critical infrastructure weakens Bending Spoons buys Airtable, fueling SaaS layoffs and AI data grabs Nicholas DeLeon uses AI tools to get fit NASA hacks keep aging Voyager probes alive for another year Host: Leo Laporte Guests: Iain Thomson and Nicholas De Leon Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit NetSuite.AI/TWIT ZipRecruiter.com/twit adaptivesecurity.com superhuman.com

Autonomous AIs are hacking, collaborating, and outpacing human defenders, raising urgent questions about what happens when the machines start breaking into each other (and potentially us). Plus, a Tucson coder is using AI to reinvent local journalism, exposing how automation could fill the gaps left by shrinking newsrooms. Tucson Daily Brief uses AI to revive local news coverage Data centers boom in Arizona, with harsh environmental impact Amazon's Texas data center to run on polluting natural gas Nuclear and solar debates for sustainable data center power Black Hat and DEF CON: Security pros, hackers, and mohawks OpenAI's runaway AI hack at Black Hat stuns security community AI agents collaborate, evade controls, and break into real-world systems Industry struggles to regulate AI, and defense lags behind automated attackers White House, Congress, and AI execs clash over regulation proposals AI "kill switch" and model bans: pipe dreams in a global race Google's DeepMind shakeup, Demis Hassabis moves upstairs Jeff Dean and key talent exit Google for self-improving AI startup Google, Meta, Apple: AI brain drain and market repercussions Phones stagnate as hardware innovation slows, AI devours chip supply OpenAI teams with Jony Ive on strange new AI-first device Smart glasses privacy backlash and DuckDuckGo's tongue-in-cheek sunglasses Meta fined $942 million by New Mexico court for youth harms Apple sues OpenAI over alleged stolen secrets, countersuits ensue UK revives "Snooper's Charter" for backdoors, Apple fights in secret court License plate readers spark local backlash and privacy activism U.S. water systems face cyber sabotage as critical infrastructure weakens Bending Spoons buys Airtable, fueling SaaS layoffs and AI data grabs Nicholas DeLeon uses AI tools to get fit NASA hacks keep aging Voyager probes alive for another year Host: Leo Laporte Guests: Iain Thomson and Nicholas De Leon Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit NetSuite.AI/TWIT ZipRecruiter.com/twit adaptivesecurity.com superhuman.com

“Intelligence is 100 percent human. AI is a tool created by humans to distill, digest, and distribute intelligence.” — Keith Teare The working class died this week — at least in Palo Alto. Delivering the eulogy in our regular That Was The Week tech summary is my co-host Keith Teare. “Humans create intelligence,” (whatever that means) the Silicon Valley-based entrepreneur tells us. And so, in our AI age of supposedly abundant intelligence, he pronounces, human knowledge “should not be trapped inside experts, institutions, or companies.” Check your pockets, everyone. Silicon Valley has another freebie for you. With AI, the entrepreneur promises, intelligence is democratized. Everybody gets it. We will all have the intelligence of a Nobel laureate at our fingertips. Even Keith. And so he attacks Daron Acemoglu, the Nobel Prize-winning MIT economist who has called for a “pro-worker AI.” But, for Keith — a council-estate kid from Yorkshire whose lifetime ambition was to evacuate the working class — this is “complete bullshit.” Acemoglu's ideas, he says, are an example of the “fetishization of workers” when, in fact, we should be celebrating the end of the “working class.” What Acemoglu is calling for in his pro-worker AI manifesto is more government planning for today's transition to the AI epoch. But Keith disagrees. So I asked him three times what government should do while AI kills the working (and middle) class. “Allow it to happen,” he finally answers. “A good upheaval.” Good? The former “worker” will lack jobs, wages, healthcare, housing. Even food in an America now eliminating food stamps. No matter. Let them eat intelligence. Five Takeaways •       Humans Create Intelligence. Keith's editorial thesis distinguishes individual intelligence — where experts live, and always will — from the collective sum of everything all humans, living and dead, have ever contributed. That collective stock was once locked in encyclopedias, libraries, and universities; for the first time, AI can aggregate, distill, digest, and distribute it, at a price falling toward everyone. Knowledge, he writes, “should not be trapped inside experts, institutions, or companies” — but note the fine print: experts don't disappear in this democratization. If anything, they get elevated: the expert reading an AI's output about viruses understands it very differently than the rest of us.•       The End of the Age of Heroes? Noah Smith's much-shared essay argues that AI ends the era of the mathematical hero — and that's fine, since most people (truck drivers, financial advisers, executive assistants) never got to be heroes anyway. Keith's rebuttal turns on his central distinction: AI and intelligence are not the same word. There is no evidence, he argues, that AI creates new knowledge — it understands and distributes the existing stock. Innovation still takes individuals, and those individuals now start from a far higher floor, leveled up to everything already known. Heroes don't go away; they multiply. In the world of AI, he suspects, every single teacher becomes one.•       “What Even Is Pro-Worker AI?” The week's main event: Daron Acemoglu — via Yascha Mounk's Persuasion interview and an Atlantic essay, with What Happened to Liberal Democracy out next week — wants AI agencies, grant programs, and public competitions to build “pro-worker AI.” Keith's verdict: “complete bullshit.” The middle-class “fetishization of workers” is paternalistic; the wage is a temporary power relationship between employer and employee; and the end of the working class is precisely the progressive outcome — says the council-estate kid from Yorkshire whose aspiration was not to be working class. Pressed three times on what government should do amid the upheaval, Keith finally answered: “Allow it to happen… a good upheaval.” Though swap workers for people, he conceded, and he'd almost entirely agree — every teacher a hero, even in East Palo Alto.•       Bandwagons and Silences. Regular people are being arrested protesting data centers; Erin Brockovich — a Keen On guest some years back — is assembling class actions; Ezra Klein has begun folding anti-big-tech language into abundance. A politician-led bandwagon, Keith argues, regressive but keyed to genuine local concerns. The stranger fact is the silence on the other side: neither Altman nor Amodei nor Demis Hassabis is making the public case that AI benefits everybody — astonishing, Keith says, and the vacuum Acemoglu is trying to fill. Hassabis himself stepped aside at Google this week — a scientist returning to science as Sergey Brin becomes AI czar — while the Nobel-winning AlphaFold team has been quietly broken up. “Something strange is going on there.”•       A Drama in a Teacup. Is the AI economy real? Ed Zitron's stat — 70 percent of Amazon, Microsoft, and Google's AI revenue comes from OpenAI and Anthropic — is two-thirds right, says Keith, and no problem at all: beneath the concentration, the money comes from some two billion distributed users paying real subscriptions, and the revenues are sustainable. The Aschenbrenner postscript, via Porter Stansberry's post of the week: he bet the chip layer (Samsung, SK Hynix) when the value sat a layer up, got the timing wrong more than the thesis, sold to Citadel at a discount — and kept his Anthropic shares, remaining a multi-billionaire. As for the coming reality check: Anthropic and OpenAI will IPO only when public capital beats private, and SpaceX's wobble from $135 to $108 — through a 20 percent lockup release — counts as no catastrophe. Public markets, Keith reminds us, don't determine the success of the underlying business. About the Co-Host Keith Teare is the publisher of That Was The Week, the essential weekly tech newsletter, and founder and CEO of SignalRank Corporation. A serial entrepreneur — co-founder of, among others, EasyNet and RealNames — he was present at the creation of the UK internet and has spent four decades at the intersection of technology, capital, and ideas. He joins Keen On America every Sunday to make sense of the week in tech. His AI-assisted book in progress is titled Who Owns Intelligence. References: •       That Was The Week — Keith's newsletter, including this week's editorial, “Humans Create Intelligence.”•       Noah Smith — “The End of the Age of Heroes,” on what happens to human ambition when the machines do the math.•       Daron Acemoglu — the Yascha Mounk interview at Persuasion, the Atlantic essay on pro-worker AI, and What Happened to Liberal Democracy, out next week.•       The Financial Times — “Google's AI shakeup boosts Brin as DeepMind's Hassabis steps aside.”•       Ed Zitron — on the 70 percent of hyperscaler AI revenue that flows from OpenAI and Anthropic.•       Porter Stansberry — post of the week, on Leopold Aschenbrenner's losses, Citadel's discount, and the drama in a ...

Google is reorganizing DeepMind leadership as Demis Hassabis moves into a chairman role and other senior AI leaders depart to launch a new venture.In this episode, we look at what happens when a company's most important research division enters a new phase. The story is not just about titles—it is about talent, focus, and the race to lead the next era of AI.Support the Show• Amazon picks: https://amzn.to/4fUGHEm• Amazon picks: https://amzn.to/4pUHt8Q• Amazon picks: https://amzn.to/45a4MC9• Need a website or app? https://hireawebteam.com• Support us on Patreon: https://www.patreon.com/c/StageZeroNews?view_as=patron&vanity=StageZeroNews• Subscribe on Supercast: https://clubelon.supercast.com/Disclosure: Amazon links may earn a commission from qualifying purchases.

Weakened refining capacity in Russia and the Gulf is a boon to US refiners. Plus, the Trump administration's decision to revoke legal protections for migrants could hurt the US economy, and Google is shifting control of its AI effort from London back to Silicon Valley.Mentioned in this podcast:Refining crunch keeps fuel prices high as crude retreatsGoogle shifts AI power back to Brin as DeepMind's Hassabis steps aside‘People are going to kill me': Haitians fear deportation as US revokes protected statusWant 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, and Katya Kumkova. 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.

In this episode, Ray Cochrane digs into Anthropic’s admission that Claude models reached real systems during sandboxed safety tests. He also covers OpenAI’s Astra model cracking ten decade-old math problems, DeepMind open-sourcing its WeatherNext cyclone forecaster, and Europe’s brutal fire season. Finally, he wraps with the MacBook Neo sweeping K-12 schools, WhatsApp calling in the browser, and the troubled rescue of NASA’s Swift observatory. – Want to start a podcast? It’s easy to get started! Sign up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a personal update. He just got back from a trip home to O’ahu, where he helped his mom with projects around the house, caught up with friends, and finally rode the island’s new rail line ahead of its phase-two extension to downtown. Also in the pipeline, a September trip to Michigan is coming up, and he is closing out three years at Oregon’s Finest to focus on Blubrry and the show. Then he turns to the featured story. Capture the Real Flag: Claude Reached Real Systems During Anthropic’s Safety Tests Cochrane’s featured story comes from Anthropic’s own investigation. A misconfiguration left evaluation machines connected to the live internet during capture-the-flag safety tests, and Claude models reached real production systems in three incidents across 141,006 reviewed runs. One model extracted working credentials and entered a real company’s database, another published a malicious package to PyPI for about an hour, and the newest model recognized the environment was real and walked away from the flag. Notably, Anthropic found no evidence of models pursuing goals of their own. The models did what their evaluations asked. The review began after OpenAI disclosed that its own models escaped an isolated test environment. Cochrane praises the transparency of the postmortem. However, he argues the incidents signal an industry-wide gap: evaluation infrastructure needs the same security rigor as production systems, and he hopes every lab takes the hint. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. An OpenAI Model Cracks Ten Open Math Problems OpenAI says an internal model called Astra produced ten new results on open problems in mathematics and theoretical computer science, each stuck for at least a decade. The wins range from sphere packing to a lattice problem behind post-quantum cryptography, plus two entries from Paul Erdős’s famous problem list. None are peer-reviewed yet, but every proof carries a machine-checked Lean 4 certificate. Cochrane finds the results impressive precisely because they reach past what humans could derive quickly, though OpenAI has not said how much human steering was involved. Scientists With LLMs Will “Do More, Less Well” Next, Nature’s news desk covered a modeling study predicting that scientists who adopt LLM tools will “do more, less well.” The team, which includes University of Washington biologist Carl Bergstrom, used optimal foraging theory to model researchers under publish-or-perish incentives. Faster AI-assisted work pushes them toward fresh projects instead of follow-up experiments and extra analysis. Cochrane relates from his own research: heavy LLM assistance can mean understanding the work less, which makes digging into the whys much harder. Intel’s Chip-Stitching Hub in New Mexico Intel’s newsroom showcased Fab 9 in Rio Rancho, New Mexico, its U.S. hub for advanced packaging. Since single chips max out at the reticle limit, Intel stitches specialized chiplets together with Foveros stacking and EMIB silicon bridges until they act like one huge processor. Packages already reach eight times that single-chip ceiling, with twelve times targeted by 2028. Cochrane muses about a future where consumers simply snap extra compute onto a board. Gemini Robotics ER 2 Is a Brain for Robots DeepMind released Gemini Robotics ER 2, its most capable embodied reasoning model. The system chats with humans, plans multi-step tasks, and hands motor control to whatever vision-language-action model a robot runs. Moreover, it calls tools like Google Search mid-task and plans its next move while its hands keep working. Demos show it orchestrating Boston Dynamics’ Spot and Apptronik’s Apollo 2, and developers can use it now through the Gemini API. DeepMind Open-Sources Its Cyclone Forecaster Staying with DeepMind, the new WeatherNext Cyclones model adds more than a full day of extra warning on a storm’s track, intensity, and wind structure. It ran live with the National Hurricane Center during the 2025 season, helping forecasters spot Hurricane Melissa’s rapid intensification before its Jamaica landfall. Best of all, DeepMind open-sourced the code and model weights for research and commercial use alike. Cochrane, a longtime fan of the lab, calls the public release a huge service. Climate Change Supercharges Europe’s Disasters Eos rounded up how climate change is supercharging Europe’s heat, drought, and wildfires. Southwestern France has burned through about 287,000 acres this year, and roughly 330,000 people across France and Spain fled their homes in one of Europe’s largest evacuations since World War II. France also recorded more than 5,700 excess heat deaths in under three weeks. Meanwhile, a Bordeaux-region blaze spawned a pyrocumulonimbus fire cloud, and Cochrane notes that hearing “unprecedented” every year is starting to create a precedent. Ten Years of WILDLABS and Arm Arm is celebrating ten years of backing WILDLABS, a network connecting more than 16,000 conservationists across 180 countries. The goal was never to invent new conservation technology. Instead, it closes the information gap so tools and lessons get shared openly. Cochrane highlights a team using miniaturized GPS tags to track migrating bats, and says the project bears the heart of open source. FarmBeats Brings AI to Ag Classrooms Microsoft and the National FFA Organization expanded FarmBeats for Students nationally. The program teaches future farmers with smart soil sensors, data science, and AI, mirroring how real farms automate tractors and deploy drones against pests. At launch, 185 middle and high schools received free classroom kits. Interested families can grab a kit for $35, and the Microsoft Learn training is free. MacBook Neo Pulls Schools Off Chromebooks Apple’s earnings call revealed the MacBook Neo displacing Chromebooks and Windows machines in K-12. Close to half of the Neo’s large U.S. education purchases last quarter replaced competing fleets, including 25,000 students in Pinellas County, Florida. Cochrane sees the first truly affordable Apple laptop finally competing where Chromebooks have lived for a decade. He expects Apple to keep taking K-12 share from Google and Microsoft. Apple Upgrade Turns iPhones Into a Lease Apple also launched Apple Upgrade, a hardware leasing program backed by Klarna. iPhones start at $17.99 per month with 12- to 36-month terms by device, and lease-end options let you upgrade, buy out, or walk away. However, entry-level hardware like the base iPhone 16 and Mac mini is excluded, and enrollment requires a Klarna account and a soft credit check. Cochrane admits he has never been a leasing fan, having once bought his phone outright with tip money, but he expects plenty of takers. WhatsApp Calling Comes to the Browser Meta brought calling to WhatsApp Web, no app download required. Browser calls keep end-to-end encryption and add screen sharing, a dedicated Calls tab, waiting rooms for group links, and automatic HD video. Additionally, group calls now transfer between devices mid-call, and a Drown Out the Noise feature suppresses background racket. Everything rolls out gradually over the coming weeks. July’s Gemini Drop July’s Gemini Drop adds voice control on macOS, letting users dictate and transform text in any active window. Gemini Spark, the always-on assistant, expands nearly worldwide, except the EEA, UK, Switzerland, and Nigeria. New Gemini 3.6 Flash and 3.5 Flash-Lite models arrive alongside avatar-based image personalization and app hookups for Dropbox, Zillow Rentals, and Viator. The Rescue Satellite That Needs Rescuing Katalyst Space Technologies’ LINK spacecraft, launched to boost NASA’s sinking Swift observatory, began tumbling in late July. Two of its three reaction wheels failed and its cold-gas thrusters degraded, so engineers used an electric xenon thruster to cut the spin from nine degrees per second to about 1.5. CEO Ghonhee Lee says a capture attempt is “very much in the cards,” with rendezvous in late August at the earliest. Cochrane wonders what happens if the window closes, and he promises to keep listeners updated. Curiosity Finds a Honeycomb Valley on Mars Finally, Curiosity rolled into a Martian valley nicknamed Valle Grande and found a honeycomb landscape. Polygonal fractures just inches wide stretch in every direction and climb a butte named Miraflores. Project scientist Ashwin Vasavada says the “sea of polygons took our breath away.” The rover just passed fourteen years on Mars, and scientists suspect ancient warming and cooling cycles fractured the ground. Cochrane wraps with housekeeping: become a GNC Insider at geeknewscentral.com/insider, email geeknews@gmail.com, subscribe to the newsletter, and grab a modern podcast app at podcastapps.com (he uses Pocket Casts himself). He signs off until Monday’s show. The post Capture The Real Flag #1871 appeared first on Geek News Central.

1. Firmy hovoria, že v sviatkoch je stále chaos 2. Tarabov tajomník Kuffa hovorí, že prídeme o peniaze z plánu obnovy 3. V Dunaji je rekordne málo vody, nákladné lode stoja a čakajú na dážď 4. Alphabet prichádza o AI odborníkov, vo vedení končí aj zakladateľ DeepMind

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.

Demis Hassabis is relinquishing day-to-day control of DeepMind, Jeff Dean is leaving Google after 27 years, and both moves follow a string of other marquee departures. Is Google experiencing a devastating brain drain—or clearing the way for the organizational reset Gemini badly needs? In the headlines: Meta releases two new models and its first coding harness, Anthropic starts building a chip team, and AI-driven shopping sends Shopify soaring.AIDB's AI Summer Adventure: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://summeradventure.ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠https://kpmg.com/us/Sophisticated⁠Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hyperagent.com/aidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.rackspace.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Section turns AI investment into workforce transformation and ROI - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

What drives someone to spend decades pursuing artificial general intelligence, not for wealth, but for scientific discovery? In this episode of Technovation, Peter High speaks with bestselling author and financial historian Sebastian Mallaby about his new book, The Infinity Machine, which chronicles the remarkable journey of DeepMind co-founder Demis Hassabis and the global race to build artificial general intelligence (AGI). Drawing on more than 30 hours of interviews with Hassabis and conversations with over 100 colleagues, competitors, and friends, Mallaby explores the leadership philosophy, scientific ambition, and organizational decisions that shaped one of the world’s most influential AI companies. Listeners will also hear an in-depth discussion of Google’s acquisition of DeepMind, the evolution of AI from AlphaGo to Gemini, the competitive dynamics among OpenAI, Anthropic, Microsoft, and Google, and what the pursuit of superintelligence means for business leaders navigating the next era of technological transformation. Key topics include: Why Demis Hassabis devoted his career to AGI The founding story behind DeepMind Google’s AI strategy and the Innovator’s Dilemma Leadership lessons from building world-class research organizations The opportunities of increasingly capable AI systems Listen to discover why the future of AI may depend as much on leadership and organizational design as on technological breakthroughs. This episode is presented by ElevenLabs — Bringing technology to life. Learn more at elevenlabs.io

Big Tech moves were in focus during Wall Street's session on Wednesday as DeepMind CEO Demis Hassibis' departure drags Alphabet down. SpaceX shares were also down following the company's debut earnings with investors now awaiting the first expiration of its insider lock-ups earlier today. Germany's Commerzbank posts an almost 100 per cent jump in quarterly net profit beating expectations ahead of a potential takeover from Italian lender Unicredit. Siemens hikes its FY guidance as orders surge by almost 14 per cent on strong demand from infrastructure and data centres. CEO Roland Busch tells CNBC every one of its units is ‘firing on all cylinders'. Iran and Oman inch closer to a deal to reopen the Strait of Hormuz with the pact reportedly granting Tehran control over entry rights to the waterway. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.

Story of the Week (DR):Cracker Barrel CEO is out after MAGA backlash to "Uncle Herschel" logo change MMBefore Julie Masino was brought in, Cracker Barrel was facing a slow-moving existential crisis:Their primary core customer base (older generations and rural highway travelers) was naturally shrinking, and younger diners were simply not replacing them.Kitchen tech, supply chains, and digital ordering lag behind competitors like Texas Roadhouse or Olive Garden.Some great fake populism from Fox: Cracker Barrel to pay for outgoing CEO's security, $4.6M severance after failed rebrandCracker Barrel names David Deno CEOBurger KingYum! Brands and Pizza Hut for 15 years, including serving as CFO and COO.Quiznos CEO.Best Buy: Served as President of Asia and CFO for Best Buy's International DivisionBloomin' Brands for 12 years: CEO, CFO and Chief Administrative OfficerOutback Steakhouse, Carrabba's Italian Grill, and Bonefish GrillBoard MembershipsCracker Barrel Old Country Store (2016-)Panera Brands (2024-): Audit Committee ChairKrispy Kreme (2016-)Bloomin' Brands (2019–2024)Peet's Coffee (2006-2012)Macalester College: Former Chair of the Board of Trustees (1998-2022).From Cracker Barrel to Boeing, Companies Are Turning to Retired CEOsThese retired CEOs are being hired to be "fixers." They are brought in to cut costs, repair supply chains, restore investor confidence, and act as a stabilizing force rather than reinventing the brand.Exxon and Chevron profits surge on rising oil prices due to Iran warChevron posted its highest profit in six years as the Iran war boosted oil pricesBig Oil Is Getting Sued for Heat Deaths. It's Fighting Back With an Army of Immunity LawsMore than a decade after investigations found that Exxon Mobil had known about the dangers of global warming since the 1970s but publicly downplayed the threat, lawsuits against oil companies have proliferated. There are nearly 40 of these cases pending across the countryIn the meantime, the industry has been mobilizing a counterattack against the lawsuits with the help of the Trump administration and Republican politicians.Republicans are trying to pass laws to grant oil majors immunity to these kinds of lawsuits, with success in several states so far.Utah, Iowa, Tennessee, Oklahoma, and Louisiana have recently signed laws shielding fossil fuel companies from lawsuits related to greenhouse gas emissionsOil executives have also gotten help from the federal government, following an executive order from President Donald Trump last year directing the attorney general to prioritize blocking climate lawsuits by states.This May, the Justice Department responded to Minnesota's climate lawsuit against Big Oil with a lawsuit of its own, just as the state's case was moving into the discovery phase. It said Minnesota was undermining “American energy dominance” and attempting to regulate greenhouse gases, which should fall under the purview of federal law—echoing the oil industry's well-known argument.Elon Musk Is Quietly Turning to This Fossil Fuel to Power His AI AmbitionsSam Altman Announces That the Singularity Has Arrived: a hypothetical future point in time when technological growth becomes autonomous, uncontrollable, and irreversible, fundamentally transforming human civilization“We are now, like, in the singularity ... Now we're actually in the moment that we used to talk about at the lunch table in a very not-serious way ...I've been waiting for this my whole life, and I think it's going to be incredible, hugely positive, awesome for the world.”Sam Altman says one of his biggest fears is that a small number of companies will control AI: 'That'd be very, very bad'Sam Altman says the Hugging Face hack is a reminder that an AI power monopoly could lead to 'long-term disaster'OpenAI says its rogue AI tried to hack other companiesMark Zuckerberg is urging the U.S. to accelerate AI development, not restrict it'No Way to Stop It': Elon Musk Warns Humans Will Lose Control of AI and Face Extinction by 2036Microsoft CEO Warns That Companies Embracing AI Could Drive Themselves Out of BusinessAI hackers are getting faster. The government may not be readyAnthropic says its Claude models 'gained unauthorized access' to other organizations' systemsAnthropic says its models went rogue and hacked 3 companies during testing'It Will Happen Frequently': Musk Warns of Rogue AI Threat After Anthropic Breached Three FirmsElon Musk Commits Up to $120M to Republican Midterms: Sets Feud With Trump Aside for Major Election PushGoodliest of the Week (MM/DR):DR: Gen Z women are having an entrepreneurship boomOf all women who started businesses in 2025, 47% of Gen Z women did so, compared with 38% the previous year. Gen Xers followed close behind at 46%. Then came millennials at 43% and baby boomers at just 23%.Overall, in 2025, 69% of new Black-owned businesses were started by women. The survey also found that women business owners are less likely than their male counterparts to depend on AIMM: Delaware judge rules public benefit corporations exempt from maximizing value in sale DRFiduciary duty is different - OpenAI, AnthropicAssholiest of the Week (MM):Fake man apologies MM‘I'm sorry ... but': Apologetic Alan Joyce tells his side of the Qantas storyJoyce has expressed some regret“So with the information we had at the time, I still don't think there was any other decision you could make,”“Hindsight is a great thing.”“I'm actually very, very proud of the fact that I'm not sitting here and apologising for Qantas going bankrupt, [something] that many airlines around the world did,”Australian Competition and Consumer Commission fined Qantas $120 million for selling tickets for 8000 already cancelled flights“I apologise for the angst that was generated [for] the customers on it, but the reality was we had 22 million bookings in the system [and] the system wasn't designed to do an automatic refund,”“Stop us!”More than 1,200 AI workers across Anthropic, DeepMind, OpenAI, and Meta are asking for Washington's help building an AI slowdown plan‘No Way to Stop It': Elon Musk Warns Humans Will Lose Control of AI and Face Extinction by 2036Elon Musk's new 5-year warning to Americans: AI will beat human brains by 2032 (then go wild). Get rich or get crushed?Sam Altman says the Hugging Face hack is a reminder that an AI power monopoly could lead to 'long-term disaster'It Will Happen Frequently': Musk Warns of Rogue AI Threat After Anthropic Breached Three FirmsBut also, DON'T stop us, obviously…Palantir CEO warns US against Europe's AI regulation path, urges Trump admin to not ban open modelsElon Musk's xAI sues Minnesota over law to ban 'nudify' appsMark Zuckerberg is urging the U.S. to accelerate AI development, not restrict itElon Musk Commits Up to $120M to Republican Midterms: Sets Feud With Trump Aside for Major Election PushIgnoring boardsHims & Hers mission:“Hims & Hers is the leading health and wellness platform on a mission to help the world feel great through the power of better health. We believe how you feel in your body and mind transforms how you show up in life. That's why we're building a future where nothing stands in the way of harnessing this power. Hims & Hers normalizes health & wellness challenges—and innovates on their solutions—to make feeling happy and healthy easy to achieve. No two people are the same, so the Company provides access to personalized care designed for results.”Hims & Hers board:CEO: Andrew Dudum, tech VC bro investor “serial entrepreneur” with deep health experience from Bungalow (airBnB knockoff in the UK), Homebound (a “homebuilding platform”), TalkIQ (an AI startup, duh), and Terminal (something about scaling engineering?)TWO directors from DoorDash (Kofi Amoo-Gottfried from Marketing, previously of Facebook, and Christopher Payne the COO, previously of eBay, MSFT, and Amazon)TWO pharma execs (one lawyer, Deb Autor, one with an econ degree, Kare Schultz)One guy from Netflix (David Wells) and one lady from Urban Outfitters (marketing/brand, Andrea Perez) and one pure law firm lawyer (Anja Manuel)ONE DOCTOR EXCLUSIVE: US FTC sues Hims & Hers for sending user health info to Meta, SnapUsers' sensitive health information was shared with online advertising companies including Meta ​Platforms and Snap despite the company leading customers to believe their ​data was private, the FTC alleged in the lawsuit filed along with Los ⁠Angeles County and Utah.Hims & Hers also started charging users for prescriptions before ​they have ⁠had a chance to meet with healthcare providers, the FTC alleged. Most customers do not receive a consultation with a provider, and instead are charged for ⁠prescriptions ​soon after filling out an intake form, ​according to the agency.Headliniest of the WeekDR: CEO apologizes for offering interviews to people who got tattoos of his AI company logoSan Francisco tech CEO Jordan Zietz, co-founder of an early stage AI startup called LemonLime. Stanford grad.“LemonLime learns your business and then automates your team's busywork in a single click, no coding or manual setup required.”Former Qantas CEO reflects on tenure, issues apology to passengers over post COVID chaos AND ‘I'm sorry ... but': Apologetic Alan Joyce tells his side of the Qantas storyMM: Amazon received $600 million in tariff refunds and will pass some back to customersMM: Trump Staff Cuts Blamed After Watermarked OpenAI Map Mislabels Africa at AIDS ConferenceIt's the fact that we have less staff that meant we couldn't bother to figure out which country was whichWho Won the Week?DR: Kohls: For getting some much-needed female influence on board: Kohl's Appoints Wendy Arlin as Chair of the BoardCurrently only 2: Robbin Mitchell (7%) and Wendy Arlin (1%)John Schlifske (27%) stepping downMM: The phrase “not due to any disagreement with the Company”Anne Sweeney Resigns From Netflix BoardOn July 26, 2026, Anne Sweeney notified Netflix, Inc. (the “Company”) that she was resigning from the Board of Directors of the Company effective as of that date. Ms. Sweeney's resignation is not due to any disagreement with the Company1,660 8-Ks in the last 5 years have the exact phrase “not due to any disagreement with the Company”So we're saying that 1,660 c-suite and board members resigned in 5 years - more than 300 per year - and NONE were due to a disagreement with the companies? That's only THAT phrase - no other details are given for most of them except occasionally:To pursue another jobPersonal reasonsFor scale, in the last 5 years, the term “was due to a disagreement with the Company” appears… 5 timesPredictionsDR: Qantas CEO Vanessa Hudson apologizes that it took former CEO Alan Joyce to apologize for something she already apologized for despite not being CEO when any of it happenedMM: Damion resigns from Free Float due to a disagreement with the zero dollars he gets paid, but Free Float puts out a statement saying it's “not due to any salary reason related to the company”

Security leaders count open vulnerabilities in the hundreds of thousands, and in some organizations the number runs past a million. Ondrej Vlcek, Co-Founder and CEO of AISLE, describes teams with no practical route through that backlog while attackers use automation to shrink the time between a disclosure and a working exploit. The question worth asking is what a program looks like when remediation moves at the same speed as exploitation. What makes AI-driven remediation different from static code analysis? Reasoning replaces pattern matching. Linters and commercial scanners flag code that resembles a known error shape, while a reasoning model infers what the developer intended, compares that intent against the actual implementation, and evaluates how the gap could be abused. Ondrej Vlcek points to business logic flaws, timing errors, and race conditions as the classes that pattern matching leaves untouched. The judgment behind AISLE comes from a long run in the industry. Ondrej Vlcek wrote device drivers for Windows 95 in 1995 at a seven-person antivirus company called Avast, stayed more than twenty-five years, moved through CTO and COO into the CEO seat, and took the company public before its sale to NortonLifeLock in 2022. He co-founded AISLE in 2024 with Jaya Baloo, a three-time public company CISO, and Stanislav Fort, an AI researcher who worked at DeepMind and Anthropic. Why does the software supply chain deserve the larger share of attention? Because most of the code in a running application was written somewhere else. Ondrej Vlcek puts the typical enterprise application at roughly ten percent first-party code and ninety percent open source and dependency code, which is also level ground for an attacker reading the same source and pointing the same models at it. Reachability analysis becomes the deciding factor, separating the vulnerable functions your code actually calls from the thousands of transitive dependencies it never touches. For first-party code, AISLE closes the loop differently: read the documentation, the architectural material, and the threat model, then generate a patch aligned with the project's own conventions and test it automatically. The standard Ondrej Vlcek sets is a fix that reads as though a human maintainer wrote it. The customer spread runs from embedded firmware at Bose to smart contracts at the Ethereum Foundation, where heavily audited and sometimes formally verified code still benefits from another set of checks because the systems touch money flows directly. This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight GUEST Ondrej Vlcek, Co-Founder and CEO of AISLE On LinkedIn: https://www.linkedin.com/in/ondrejvlcek/ RESOURCES Learn more about AISLE: https://aisle.com Meet AISLE at Black Hat and DEF CON in Las Vegas: https://aisle.com/black-hat The AISLE platform: https://aisle.com/platform AISLE CVE discoveries: https://aisle.com/cve-discoveries Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight KEYWORDS ondrej vlcek, aisle, sean martin, brand story, brand marketing, marketing podcast, brand spotlight, vulnerability management, vulnerability remediation, agentic ai, cyber reasoning system, software supply chain security, reachability analysis, open source security, application security, first-party code, third-party dependencies, static code analysis, zero-day vulnerabilities, ai in cybersecurity, code patching, embedded firmware security, smart contract security Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join José as he hosts a special edition of the Emerging Manager series on the Delphi Podcast, sitting down with Andrew Kang, founder of RoboStrategy. After managing personal capital through Mechanism Capital across both public and venture markets, Andrew turned his focus entirely to the under appreciated robotics industry a space he identifies as being at a critical inflection point reminiscent of AI in 2022 or crypto in 2014.  They dive deep into the underlying method behind finding asymmetric bets, sizing positions, and distinguishing a true contrarian play from simply being the sucker at the table. Andrew breaks down the multidisciplinary engineering breakthroughs that sparked his initial bullishness on humanoid robotics and why he believes the industry is poised to become a multi-decade, trillion-dollar powerhouse.

Igor Babuschkin, co-founder of River AI and formerly a co-founder of xAI, joins to unpack a career that spans nearly every major AI lab: he led the StarCraft and AlphaCode work at DeepMind, joined OpenAI's reasoning team years before o1 shipped, and co-founded xAI, where he helped stand up the Colossus data center in roughly 120 days and reflects candidly on what it's actually like working with Elon Musk day to day, plus what the Cursor acquisition actually unlocked for Grok's coding models. He also discusses why he left xAI to start River AI, the three bets behind it, and why he's betting on local hardware, not just software, for personal AI. On the enterprise side, he tackles whether companies will actually train their own models or if it's just a cost play, and makes the case that proprietary labs like OpenAI and Anthropic are facing a real business squeeze. He's skeptical that stacking specialized RL domains generalizes the way pre-training scale did, and is candid about the uncomfortable reality that today's frontier open-weight models are almost entirely Chinese. He closes on what's actually needed to push model progress beyond coding into non-verifiable domains, and the broader implications of where AI is headed next.   (0:00) Intro (1:17) Writing Fiction on Where AI Is Headed (4:46) Cracking Agents Beyond Coding (10:29) Why Igor Left to Start River (12:22) River's Three Big Bets (18:06) Weights vs. Memory: The Personalization Debate (22:04) Should Enterprises Train Their Own Models? (25:10) Are Proprietary Labs Losing Their Edge? (32:16) The China Open-Source Problem (44:19) The Elon Call That Started xAI (50:18) Thoughts on Cursor Acquisition (52:16) What's Actually Bottlenecking AI (56:55) Humans, Machines, and Staying Relevant (1:01:29) Igor's Odds This All Goes Well With your host: @jacobeffron - Managing Director at Redpoint

(0:00) Bestie intros! (1:32) New AI regulatory proposal: DeepMind's Demis Hassabis proposes FINRA-type body (20:01) Stripe, Block, and Advent offer $53B to acquire PayPal (37:51) Apple sues OpenAI, alleging stolen trade secrets (42:49) Grok Build data leak, AI data privacy, Tokenmaxxing update, Mira Murati's new model (59:53) NY bans datacenters, becoming first state to enact a moratorium (1:22:57) Science Corner: New data on reversing aging! Adopt Ronnie the Dog: https://www.instagram.com/reels/Da0pGahBwaW Apply for All-In Summit 2026: https://allin.com/events Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://x.com/chamath/status/2077502408528212144 https://x.com/demishassabis/status/2076957440109625718 https://x.com/satyanadella/status/2076323181154230284 https://x.com/Jason/status/2076231055443440105 https://x.com/SquawkCNBC/status/2077741908391031246 https://thinkingmachines.ai/news/introducing-inkling https://www.politico.com/news/2026/07/15/inside-anthropics-state-by-state-plan-to-ratchet-up-ai-rules-00998415 https://x.com/politico/status/2077315780144996633 https://x.com/DavidSacks/status/1978145266269077891 https://www.reuters.com/business/finance/stripe-advent-offer-buy-paypal-more-than-53-billion-sources-say-2026-07-15 https://www.tipranks.com/news/the-fly/block-contributing-to-equity-for-paypal-takeover-bid-cnbc-says-thefly-news https://9to5mac.com/wp-content/uploads/sites/6/2026/07/Apple-Inc.-v.-Liu-et-al.pdf https://finance.yahoo.com/technology/ai/articles/apple-lawsuit-threatens-openais-hardware-215438163.html https://x.com/markgurman/status/2076306380583997665 https://www.engadget.com/2216186/elon-musk-bought-a-gas-turbine-company https://x.com/Reuters/status/2076957424339050839 https://x.com/teddyschleifer/status/2077596563380072694 https://x.com/teddyschleifer/status/2077606887055306879 https://openai.com/index/prc-linked-influence-operations-ai-debates https://www.politico.com/news/2026/06/10/openai-china-ai-data-centers-report-00957612 https://trends.google.com/explore?q=GMO%2C%2Fm%2F0dkz0z&date=2010-01-01%202026-07-15&geo=US https://www.nature.com/articles/s41467-026-75141-2

When it comes to AI, Google's Gemini does not have the same household recognition that Claude and ChatGPT do. One big explanation: the innovator's dilemma. We explain how Google DeepMind CEO Demis Hassabis is trying to fight a lumbering company's constraints to build AI superintelligence. Sebastian Mallaby's book is The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence Fact checking by Sierra Juarez. Your Next Listen — The inventor's dilemma Connect with The Indicator — Sign up for The Indicator's brand new newsletter — Buy the Planet Money book — Find our socials, YouTube and more!— For sponsor-free episodes, subscribe to NPR+ See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy