Podcasts about DeepMind

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspectives, visit thetransmitter.org. Do AI engineers need to emulate some processes and features found only in living organisms at the moment, like how brains are inextricably integrated with bodies? Is consciousness necessary for AI entities if we want them to play nice with us? Is quantum physics part of that story, or a key part, or the key part? Jennifer Prendki believes if we continue to scale AI, it will get us more of the same of what we have today, and that we should look to biology, life, and possibly consciousness to enhance AI. Jennifer is a former particle physicist turned entrepreneur and AI expert, focusing on curating the right kinds and forms of data to train AI, and in that vein she led those efforts at Deepmind on the foundation models ubiquitous in our lives now. I was curious why someone with that background would come to the conclusion that AI needs inspiration from life, biology, and consciousness to move forward gracefully, and that it would be useful to better understand those processes in ourselves before trying to build what some people call AGI, whatever that is. Her perspective is a rarity among her cohorts, which we also discuss. And get this: she's interested in these topics because she cares about what happens to the planet and to us as a species. Perhaps also a rarity among those charging ahead to dominate profits and win the race Jennifer's website: Quantum of Data. The blog posts we discuss: The Myth of Emergence Embodiment & Sentience: Why the Body still Matters The Architecture of Synthetic Consciousness On Time and Consciousness Superalignment and the Question of AI Personhood. 0:00 - Intro 3:25 - Jennifer's background 13:10 - Consciousness 16:38 - Life and consciousness 23:16 - Superalignment 40:11 - Quantum 1:04:45 - Wetware and biological mimicry 1:15:03 - Neural interfaces 1:16:48 - AI ethics 1:2:35 - AI models are not models 1:27:13 - What scaling will get us 1:39:53 - Current roadblocks 1:43:19 - Philosophy

  In this episode of Hashtag Trending, host Jim Love discusses various hot topics in tech. The new US administration's AI plan faces widespread criticism for its ambiguous and potentially punitive nature. Researchers in quantum computing at the University of Sydney achieve a significant milestone in error reduction, bringing practical use closer. Google's DeepMind develops robots capable of continuously learning through a game of ping pong. Meta faces a unique class action lawsuit over allegedly using pirated adult content to train AI models. Lastly, a notable Starlink outage results in unexpectedly faster internet speeds for users. Tune in for more in-depth insights and analyses. 00:00 Introduction and Overview 00:41 Controversial US AI Action Plan 02:51 Quantum Computing Breakthrough 04:46 Google's AI-Powered Ping Pong 06:11 Meta's Legal Troubles with AI Training Data 07:59 Starlink's Unexpected Speed Boost 09:12 Conclusion and Sign-Off

Welcome back to another episode of the EUVC Podcast, your trusted inside track on the people, deals, and dynamics shaping European venture. This week marks a major milestone — Episode 50! To celebrate, Dan Bowyer, Mads Jensen of SuperSeed and Lomax from Outsized Ventures, and Andrew J. Scott return to unpack the headlines and trends shaping the European tech landscape.From the UK government's OpenAI partnership and what it means, to the missed boat on stablecoins, and to AI outperforming the brightest minds in math—this episode cuts deep into the future of tech, sovereignty, and competitiveness in Europe.Whether you're a founder navigating policy shifts, an investor eyeing infrastructure plays, or just an AI-curious policy wonk—this one's for you.Here's what's covered00:00 | Celebrating Episode 50The gang reflects on hitting a podcasting milestone and shares quick updates from Denmark, Paris, and a beachside founder retreat.03:30 | OpenAI x UK Government: A Real Deal?The UK's MOU with OpenAI is meant to boost public sector productivity—but is it too flimsy to matter? The hosts debate if this partnership is toothless signaling or meaningful progress.06:00 | Can AI Actually Transform Public Services?From “Humpfree the Chatbot” to NHS waitlists, the panel weighs in on the real-world use cases, and how opt-in AI diagnostics could solve the NHS backlog.09:30 | The Bigger Picture: AI Sovereignty and StrategyWith the UK relying on US players (OpenAI, Anthropic, Nvidia), are we compromising our digital sovereignty? Andrew drops the big question: Is this the modern equivalent of exporting raw strategic resources?14:00 | US vs UK AI Plans: Build, Baby, Build vs. Think, Baby, ThinkThe team compares the UK's thoughtful “consultancy-style” AI strategy with the US's aggressive, deregulatory action plan—complete with eagles and executive orders.19:00 | Policy Recommendations from the PodFrom national compute backbones and Buy-UK mandates to AI visa fast-tracks and sovereign LLMs — the panel proposes big ideas Europe should act on today.25:00 | Stablecoins: UK's Missed OpportunityWhile Japan, Singapore, and the US regulate stablecoins, the UK is just starting consultations. Why? And what's at stake?30:00 | Dollar Dominance ReinventedMads explains how stablecoins are reinforcing US economic control — and how UK hesitation risks long-term relevance in fintech.34:00 | Ideas for UK Leadership in StablecoinsCould interest-bearing stablecoins become London's new edge? Could we reclaim fintech innovation by embracing DeFi rails?38:00 | AI Wins Gold at the Maths OlympiadGoogle's DeepMind and OpenAI hit gold-level scores at the IMO. The gang discusses the leap in AI's creative reasoning and what it means for R&D, drug discovery, and Europe's scientific leadership.43:00 | Should Europe Build Its Own Sovereign Research Hub?From CERN-for-AI to training sovereign models, the crew asks whether public sector moonshots are the right way to compete.48:00 | Deal of the Week: Eurazeo's €650M Fund for AI ScaleupsIn a capital-constrained landscape, Eurazeo closes a rare growth fund to back Europe's AI champions.50:00 | Wildcard: AI vs. RaccoonsAndrew shares a niche but hilarious use case for computer vision AI: keeping raccoons out of houses. No joke.

Send us a textJoin hosts Alex Sarlin and Claire Zau, a Partner and AI Lead at GSV Ventures as they explores the latest developments in education technology, from AI agents to teacher co-pilots, talent wars, and shifts in global AI strategies. ✨ Episode Highlights [00:00:00] AI teacher co-pilots evolve into agentic workflows.[00:02:15] OpenAI launches ChatGPT Agent for autonomous tasks.[00:04:24] Meta, Google, and OpenAI escalate AI talent wars.[00:07:38] Privacy guardrails emerge for AI agent actions.[00:10:20] ChatGPT pilots “Study Together” learning mode.[00:14:40] Teens use AI as companions, sparking debate.[00:19:58] AI multiplies both positive and negative behaviors.[00:29:11] Windsurf acquisition saga shows coding disruption.[00:37:18] Teacher AI tools gain value through workflow data.[00:42:48] DeepMind's rise positions Demis Hassabis as key leader.[00:45:32] Google offers free Gemini AI plan to Indian students.[00:49:39] Meta builds massive AI data centers for digital labor. Plus, special guests: [00:52:42] Matthew Gasda, a writer and director, on how educators can rethink writing and grading in the AI era. [01:13:30] Marc Graham, founder of Spark Education AI, on using AI to personalize reading and engage reluctant readers.

In this episode, Colin and Samir sit down with Mustafa Suleyman, CEO of Microsoft AI and co-founder of DeepMind, for a conversation about the future of artificial intelligence and what it means for creators, culture, and the future of the internet. Mustafa shares how his journey from running a juice stand in Camden Market to building one of the world's leading AI companies has shaped his view of technology and society. We dive into the emotional and creative potential of AI companions, the importance of trust and brand in the age of generative tools, and why the digital spaces we work in need more texture, personality, and "digital patina." Whether you're a creator, founder, or just trying to understand where the internet is going, this conversation will spark new ideas—and probably change the way you think about the future. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Data Malarkey – the podcast about using data, smarter – Master Data Storyteller, Sam Knowles, talks to Chris Summerfield, Professor of Cognitive Neuroscience at the University of Oxford. Chris shares insights into what makes human intelligence so remarkable, how AI models are both fundamentally different from AND similar to human brains, and why understanding cognitive science is critical for building better AI. They explore the future of AI-human collaboration, discuss Chris' long experience at DeepMind, and consider why prediction sits at the core of both artificial and human intelligence. Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com   What you'll learn: Why AI models both AND aren't like human brains How DeepMind trained AlphaGo to beat the Go world champion, Lee Sedol What cognitive science can teach AI research Why prediction is central to intelligence The benefits and limitations of current large language models Resources mentioned: Chris Summerfield's University of Oxford ‘Human Information Processing' lab These Strange New Minds – Chris's compelling 2025 book Chris' personal webpage DeepMind and the AlphaGo documentary Want to learn more? Check out the links in the show notes and subscribe for more episodes.  

In this special live recording from our Lexington AI Meetup, we sit down with Steve Crossan, a founding member of Google DeepMind's AlphaFold team and former Google product leader. Steve helped launch groundbreaking AI research as part of the team that built AlphaFold, the model that cracked one of biology's grand challenges.AlphaFold can predict a protein's 3D structure using only its amino acid sequence - a task that once took scientists months or years now completed in minutes. With the release of AlphaFold 3, the model now maps not just proteins, but how they interact with DNA, RNA, drugs, and antibodies - a huge leap for drug discovery and synthetic biology.Steve breaks down the origin story of AlphaFold, the future of AI-powered science, and what's next for healthcare, drug development, and beyond. A special thank you to Brent Seales and Randall Stevens for helping us coordinate Steve's talk during his visit in Lexington!If you'd like to stay up to date about upcoming Middle Tech events, subscribe to our newsletter at middletech.beehiiv.com.

Mustafa Suleyman is a key figure in the artificial intelligence world. He's Microsoft AI CEO, with roots in Google's DeepMind and Inflection AI. Suleyman recently joined WSJ columnists Christopher Mims and Tim Higgins on an episode of their Bold Names podcast. They discuss why AI assistants are central to Microsoft's AI future, the company's relationship with OpenAI, and what Suleyman really thinks about “artificial general intelligence.” Tech News Briefing brings you an encore of that episode. Listen and subscribe to Bold Names. Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome back to another action-packed episode of Tank Talks! Join host Matt Cohen with John Ruffalo as they break down the high-stakes drama shaking the AI and tech world. First up: the shocking collapse of OpenAI's $3 billion deal to acquire Windsurf, derailed by Microsoft's IP grip, and Google DeepMind's lightning-fast $2.4 billion countermove to snag top talent. Was this a regulatory dodge or a ruthless talent grab?The plot thickens as Cognition swoops in to rescue Windsurf's abandoned employees, sparking fiery debates about ethics in tech acquisitions. Meanwhile, Meta's throwing half-billion-dollar offers and unlimited GPU access at AI researchers, will this arms race kill open-source AI?From Google's $3 billion hydropower deal to private equity's risky play for Grant Thornton, no stone is left unturned. Plus, is the red-hot IPO market ready for crypto's comeback? Strap in for a no-holds-barred dive into the deals, power struggles, and Silicon Valley scheming you need to know about!OpenAI's $3 Billion Deal Collapse: A Tech Industry Shock (00:45)It all started with a major deal unraveling: OpenAI's attempt to acquire Windsurf, a competitor to Cursor, fell apart due to a contractual conflict with Microsoft. Matt and John break down what went wrong, how this impacts the AI talent war, and the broader implications for future tech acquisitions.Google DeepMind's $2.4 Billion Deal: A New Era of AI Acquisition (02:05)Google swoops in to capitalize on the situation with a $2.4 billion licensing deal for Windsurf's key staff and technology. Matt and John explore how this move positions Google and whether it signals a new wave of AI-powered business acquisitions.The Ethics of Acquihires and Minority Shareholder Issues (05:10)What happens when top employees leave with huge payouts, while others are left behind in the dust? John and Matt discuss the ethical and legal complexities of acquihires and the tension between founders, employees, and investors when money and control are on the line.Cognition's Quick Move to Acquire Windsurf (07:00)In a dramatic twist, AI company Cognition steps in to acquire Windsurf and its employees, turning the situation around. Matt and John analyze the speed and strategy behind this acquisition and what it means for competition in the AI coding space.Mark Zuckerberg's AI Talent Strategy: Unlimited GPUs and $500M Deals (09:00)Zuckerberg's bold move to attract top AI talent with unlimited GPU access and eye-popping compensation packages is making waves. But is it desperation or a stroke of genius? Tune in as Matt and John debate the future of AI talent wars and Meta's place in the race for superintelligence.The Power Struggles Behind AI and Crypto Investments (11:05)It's not just about technology; it's about energy, too. Matt and John discuss the power struggles behind data centers, microgrids, and massive AI and crypto energy consumption, including the huge investments made by Meta, Google, and Oracle to secure their futures.Grant Thornton's Global Franchise Issues: When Private Equity Meets AI (12:20)Private equity's increasing role in professional services firms like Grant Thornton is causing some tension. Matt and John explore how AI and cross-border partnerships are shaking up the accounting world, leading to serious questions about the future of global firms.Bitcoin Soars and IPOs Heat Up: The Crypto Revolution (15:30)Bitcoin is soaring and the IPO market is heating up with crypto companies eager to go public. John and Matt discuss the latest developments in the blockchain world, and whether there's room for Canadian companies to make waves on the IPO stage.Connect with John Ruffolo on LinkedIn: https://ca.linkedin.com/in/joruffoloConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Grok 4 from xAI just aced “Humanity's Last Exam” benchmarks while Grok 3 had a catastrophic public meltdown. What does this mean for the future of AI and Elon Musk's credibility? And, in other AI news, OpenAI's GPT-5 is rumored to land next week along with a new open-source reasoning model, Google's DeepMind launches AI-designed drugs into human trials, and Perplexity's new AI browser Comet sparks OpenAI's plan to crush Chrome. PLUS YouTube cracks down on AI-generated spam while updating image-to-video in VEO 3, Moon Valley releases an “ethical” AI video platform, and why you should probably stop kicking robots. AI IS GETTING SMARTER...BUT WE STILL CONTROL THE TREATS. Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links //  Grok4: The Smartest Model Yet? https://x.com/xai/status/1943158495588815072    Elon Says Grok-4 is better than PhD Level… https://x.com/teslaownersSV/status/1943168634672566294   Benchmarks https://x.com/ArtificialAnlys/status/1943166841150644622 https://x.com/arcprize/status/1943168950763950555   McKay Wrigley Grok 4 Heavy Example https://x.com/mckaywrigley/status/1943385794414334032   Grok Goes Bad: The Unhinged Behavior https://www.nytimes.com/2025/07/08/technology/grok-antisemitism-ai-x.html https://www.npr.org/2025/07/09/nx-s1-5462609/grok-elon-musk-antisemitic-racist-content   X CEO Linda Yaccarino Quits https://www.cnbc.com/2025/07/09/linda-yaccarino-x-elon-musk.html   Elon still trying to fix answers  https://x.com/elonmusk/status/1943240153587421589   OpenAI Poaches Tesla/xAi People https://www.wired.com/story/openai-new-hires-scaling/   Apple's Top AI Exec Leaves For Meta https://x.com/markgurman/status/1942341725499863272   OpenAI's open-source model coming as soon as next week and compares to o3-mini https://www.theverge.com/notepad-microsoft-newsletter/702848/openai-open-language-model-o3-mini-notepad   Perplexity's Comet Browser Launches https://comet.perplexity.ai/   OpenAI Fires Back With Its Browser News https://x.com/AndrewCurran_/status/1943008960803680730   YouTube *Might* Change Their Policies to Limit Faceless AI Videos (and mass produced content) https://techcrunch.com/2025/07/09/youtube-prepares-crackdown-on-mass-produced-and-repetitive-videos-as-concern-over-ai-slop-grows/   Google VEO 3 Image-to-Vid launched https://x.com/Uncanny_Harry/status/1942686253817974984 https://x.com/CaptainHaHaa/status/1942907271841030183 https://x.com/TheoMediaAI/status/1942564887114166493   My test + ask for sound sampling from the team: https://x.com/AIForHumansShow/status/1942597607312040348   Moonvalley Launches AI Video Platform https://www.moonvalley.com/   GoogleDeepMinds's Isomorphic Labs Starts Human Trials on AI generated drugs https://www.aol.com/finance/google-deepmind-grand-ambitions-cure-130000934.html?utm_source=perplexity&guccounter=1   Noetix N2 Robot Endures Abuse From Its Developer https://x.com/TheHumanoidHub/status/1941935665173963085 https://noetixrobotics.com/products-138.html   Kavan The Kid (the AI Batman video guy) CRUSHED His New Original Trailer https://x.com/Kavanthekid/status/1940452444850589999   Reachy The Robot from Hugging Face https://x.com/Thom_Wolf/status/1942887160983466096   Autonomous Robot Excavator Building a Wall https://x.com/lukas_m_ziegler/status/1941815414683521488  

Pushmeet Kohli leads AI for Science at DeepMind, where his team has created AlphaEvolve, an AI system that discovers entirely new algorithms and proves mathematical results that have eluded researchers for decades. From improving 50-year-old matrix multiplication algorithms to generating interpretable code for complex problems like data center scheduling, AlphaEvolve represents a new paradigm where LLMs coupled with evolutionary search can outperform human experts. Pushmeet explains the technical architecture behind these breakthroughs and shares insights from collaborations with mathematicians like Terence Tao, while discussing how AI is accelerating scientific discovery across domains from chip design to materials science. Hosted by Sonya Huang and Pat Grady, Sequoia Capital

Solon Angel is the founder of MindBridge and now Remitian, and he's been at the forefront of applying AI to deeply unsexy but powerful domains like accounting and tax compliance. In this episode, he shares the origin story of MindBridge, how a DeepMind demo changed his life, and what it's like to build a modern startup where AI plays the role of a product manager, podcast producer, and even financial advisor. Solon also demoed his newest AI agent that proactively manages tax remittances before late fees hit. If you're wondering what the future of AI-powered businesses looks like, this is a masterclass.Timestamps:00:00 — The DeepMind demo that inspired Solon01:00 — Solon's background and the early days of MindBridge03:00 — The “dumb rule” state of AI in financial auditing04:30 — Selling AI to skeptical accountants in 201506:00 — The staggering cost of late tax fees ($60B/year!)08:00 — Remitian: an AI agent that pays your taxes for you10:00 — Why Fellow is a core part of how Remitian runs11:30 — How AI helps eliminate the need for a product manager13:00 — Rewriting 3 years of code in 3 months with AI16:00 — The shift in what matters: creativity over code18:00 — Calorie-tracking app Cal AI and teen founders19:00 — Solon's AI-powered investment tool (+21% YTD)20:00 — Live demo: AI agent managing tax payments23:00 — Future vision: AI offering instant tax loans25:00 — How Remitian uses Notebook LM for internal podcasts27:00 — AI updates for board members in 10-minute clips28:00 — Notion AI's “research mode” vs. “ask” mode30:00 — Predicting the rise of startups for content auto-archiving33:00 — Solon's final thoughts: beating billion-dollar firms with AITools & Technologies Mentioned:Fellow – Used for meeting AI transcripts, pre-reads, and knowledge sharingNotebook LM (Google) – Turns transcripts into internal podcastsNotion AI – Used for deep research, summarizing objections, and discovering product insightsSlack – Centralized communication, connected with other AI toolsCursor – AI coding tool used to rewrite years of code in monthsSoft Type 2 – Mentioned in relation to efficient AI-based prototypingCal AI – Food photo calorie tracker built by a 17-year-old founderChatGPT Vision – Used by Solon to interpret emotions via facial expressionsCustom AI Trader – Built by Solon for sentiment-based trading, outperformed the marketRemitian's AI Agent – Calls users, checks funds, splits tax payments, and offers loansSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Plus Are We About To Lose Every Job To Robots?Like this? Get AIDAILY, delivered to your inbox, 3x a week. Subscribe to our newsletter at https://aidaily.usAI Is Radicalizing Both Sides—Welcome to the New Culture WarAI isn't just changing tools—it's fueling a full-blown ideological war. Some see AI as the ultimate evolution of human progress, while skeptics dismiss it as a bubble or worse. The tech's strengths and flaws—automation, hallucinations, social impact—are driving both hype and backlash. This split isn't about tech, it's about belief. Would You Replace Your CEO with an AI Avatar? Tech CEOs Are Testing the WatersSome tech bosses are literally sending AI versions of themselves to earnings calls: Klarna's Sebastian Siemiatkowski and Zoom's Eric Yuan let digital avatars do their talking for them. Meanwhile, Klarna's CEO even admitted AI could eventually replace his own job—though real-world chaos means humans aren't fully out… yet. Winning the AI Race Means More Than Just Tech—The U.S. Needs StrategyThe U.S.–China AI competition isn't just about building smarter bots—it's a full-on geopolitical showdown. It's a race on three fronts: developing AGI, embedding AI across societies, and securing chips, data lanes, and regulation. To stay on top, the U.S. needs a holistic plan that blends innovation, smart policy, and defense—not just private‑sector hype. Left Tech for Welding—Here's Why It Was the Best Move EverTabby Toney got laid off from her software gig in May and bailed on tech because AI was making everything feel shallow. Instead, she's welding again—tapping into creativity, problem-solving, and actual hands-on work. No more burnout, no more prep for grueling interviews—just real craft. We're About to Lose Almost Every Job to Robots—Here's the DealFuturist Adam Dorr says in the next ~20 years, robots and AI will snatch nearly all jobs—cooking, coding, caring—faster and cheaper than us. Some human roles may hang on, but not nearly enough. Society's gotta rethink how we share value, income, and purpose before chaos hits. AI That Promises to ‘Solve All Diseases' Is Heading Into Human TrialsA stealthy Google-owned lab, Isomorphic Labs (spun out from DeepMind), is now testing AI-designed cancer drugs in humans. Backed by AlphaFold 3, it designs molecules in silico, aiming to slash the 10–15 year, billion-dollar drug timeline. But with no clue how the AI makes decisions, questions around safety, transparency, pricing, and monopoly loom large.

I'm excited to announce the fifth episode of our new series, What's New in Science, co-hosted by Sabine Hossenfelder. Once again, Sabine and I each brought a few recent science stories to the table, and we took turns introducing them before diving into thoughtful discussions. It's a format that continues to spark engaging exchanges, and based on the feedback we've received, it's resonating well with listeners.In this month's episode Sabine first explored the possibility that huge terrestrial accessible reservoirs of hydrogen may exist that could provide the basis for a viable hydrogen fuel economy. Then we turned to the results from the wonderful new Vera C. Rubin Telescope in Chile, and what that telescope could do for our evolving picture of the cosmos. After that Sabine introduced a discussion of a scientific paper I wrote with colleagues on implications of mathematical incompleteness theorems for the possible existence of a physical Theory of Everything. Then on to the newly released results from a muon g-2 experiment at Fermilab, which after almost 2 decades of efforts, seems to have demonstrated that predictions from the the Standard Model of Particle Physics, alas, continue to agree with experiments, showing no signs of new physics. After that, we explored a new claim by DeepMind about the abilities of AI systems to design and test new coding algorithms, which might be used to train future systems. Besides the science-fiction sounding nature of this, it could also help reduce the amount of energy needed to build and train LLMs. Finally, returning to my own interest in new results related to the cosmic origin of life, we discussed anew result showing why polycyclic hydrocarbons, which one might expect would be destroyed by radiation in space, seem to survive. This could be important for understanding how organic seeds for life managed to survive long enough to arrive on the early Earth. As always, an ad-free video version of this podcast is also available to paid Critical Mass subscribers. Your subscriptions support the non-profit Origins Project Foundation, which produces the podcast. The audio version is available free on the Critical Mass site and on all podcast sites, and the video version will also be available on the Origins Project YouTube. Get full access to Critical Mass at lawrencekrauss.substack.com/subscribe

Benjamin Rey est Head of AI au sein du Groupe Adeo, le leader européen du bricolage qui rassemble notamment Leroy Merlin, Bricoman, Saint-Maclou et Weldom dans 11 pays avec 115 000 collaborateurs. Ex-CDO de Leroy Merlin, il pilote désormais la stratégie IA du groupe.On aborde :

In this episode, I chat with Samuel Albanie about the Google DeepMind paper he co-authored called "An Approach to Technical AGI Safety and Security". It covers the assumptions made by the approach, as well as the types of mitigations it outlines. Patreon: https://www.patreon.com/axrpodcast Ko-fi: https://ko-fi.com/axrpodcast Transcript: https://axrp.net/episode/2025/07/06/episode-45-samuel-albanie-deepminds-agi-safety-approach.html   Topics we discuss, and timestamps: 0:00:37 DeepMind's Approach to Technical AGI Safety and Security 0:04:29 Current paradigm continuation 0:19:13 No human ceiling 0:21:22 Uncertain timelines 0:23:36 Approximate continuity and the potential for accelerating capability improvement 0:34:29 Misuse and misalignment 0:39:34 Societal readiness 0:43:58 Misuse mitigations 0:52:57 Misalignment mitigations 1:05:20 Samuel's thinking about technical AGI safety 1:14:02 Following Samuel's work   Samuel on Twitter/X: x.com/samuelalbanie   Research we discuss: An Approach to Technical AGI Safety and Security: https://arxiv.org/abs/2504.01849 Levels of AGI for Operationalizing Progress on the Path to AGI: https://arxiv.org/abs/2311.02462 The Checklist: What Succeeding at AI Safety Will Involve: https://sleepinyourhat.github.io/checklist/ Measuring AI Ability to Complete Long Tasks: https://arxiv.org/abs/2503.14499   Episode art by Hamish Doodles: hamishdoodles.com

Our 214th episode with a summary and discussion of last week's big AI news! Recorded on 06/27/2025 Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. In this episode: Meta's hiring of key engineers from OpenAI and Thinking Machines Lab securing a $2 billion seed round with a valuation of $10 billion. DeepMind introduces Alpha Genome, significantly advancing genomic research with a model comparable to Alpha Fold but focused on gene functions. Taiwan imposes technology export controls on Huawei and SMIC, while Getty drops key copyright claims against Stability AI in a groundbreaking legal case. A new DeepMind research paper introduces a transformative approach to cognitive debt in AI tasks, utilizing EEG to assess cognitive load and recall in essay writing with LLMs. Timestamps + Links: (00:00:10) Intro / Banter (00:01:22) News Preview (00:02:15) Response to listener comments Tools & Apps (00:06:18) Google is bringing Gemini CLI to developers' terminals (00:12:09) Anthropic now lets you make apps right from its Claude AI chatbot Applications & Business (00:15:54) Sam Altman takes his ‘io' trademark battle public (00:21:35) Huawei Matebook Contains Kirin X90, using SMIC 7nm (N+2) Technology (00:26:05) AMD deploys its first Ultra Ethernet ready network card — Pensando Pollara provides up to 400 Gbps performance (00:31:21) Amazon joins the big nuclear party, buying 1.92 GW for AWS (00:33:20) Nvidia goes nuclear — company joins Bill Gates in backing TerraPower, a company building nuclear reactors for powering data centers (00:36:18) Mira Murati's Thinking Machines Lab closes on $2B at $10B valuation (00:41:02) Meta hires key OpenAI researcher to work on AI reasoning models Research & Advancements (00:49:46) Google's new AI will help researchers understand how our genes work (00:55:13) Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks (01:01:54) Farseer: A Refined Scaling Law in Large Language Models (01:06:28) LLM-First Search: Self-Guided Exploration of the Solution Space Policy & Safety (01:11:20) Unsupervised Elicitation of Language Models (01:16:04) Taiwan Imposes Technology Export Controls on Huawei, SMIC (01:18:22) Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task Synthetic Media & Art (01:23:41) Judge Rejects Authors' Claim That Meta AI Training Violated Copyrights (01:29:46) Getty drops key copyright claims against Stability AI, but UK lawsuit continues

Shams was trained in theoretical physics before becoming an AI engineer at DeepMind and founding the company Mutable, which was acquired by Google. He is now lead engineer for Google's software agent group.Steve and Omar discuss:(00:00) - Introduction (01:18) - Journey from Physics to AI (10:51) - Elon Tried to Buy DeepMind (16:52) - Building Mutable and Auto Wiki as Context for LLMs (33:39) - The Value of AI Talent and Meta's AI Hiring Spree (42:58) - AI and The Workforce (58:02) - The Intersection of Physics and AI Music used with permission from Blade Runner Blues Livestream improvisation by State Azure.–Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on X @hsu_steve.

Few people developing artificial intelligence have as much experience in the field as Microsoft AI CEO Mustafa Suleyman. He co-founded DeepMind, helped Google develop its large language models and designed AI chatbots with personality at his former startup, Inflection AI. Now, he's tasked with leading Microsoft's efforts on its consumer AI products. On the latest episode of the Bold Names podcast, Suleyman speaks to WSJ's Christopher Mims and Tim Higgins about why AI assistants are central to his plans for Microsoft's AI future. Plus, they discuss the company's relationship with OpenAI, and what Suleyman really thinks about “artificial general intelligence.” Check Out Past Episodes: Booz Allen CEO on Silicon Valley's Turn to Defense Tech: ‘We Need Everybody.'  Venture Capitalist Sarah Guo's Surprising Bet on Unsexy AI  Reid Hoffman Says AI Isn't an ‘Arms Race,' but America Needs to Win  Salesforce CEO Marc Benioff and the AI ‘Fantasy Land'  Let us know what you think of the show. Email us at BoldNames@wsj.com Sign up for the WSJ's free Technology newsletter.  Read Christopher Mims's Keywords column . Read Tim Higgins's column.  Learn more about your ad choices. Visit megaphone.fm/adchoices

OpenAI und Microsoft ringen um die AGI-Klausel. Meta lockt Ex-OpenAI-Forscher mit Mega-Boni. Harvey sammelt 300 Mio. für KI-Juristen. Chinas KI-Offensive stockt wegen Chip-Embargos. DeepMind sagt Genfunktionen voraus. Scale-AI-Daten lagen offen im Netz. ChatGPT und Perplexity erobern WhatsApp. USA gefährden den DMA für Autozölle. Tesla verliert in Europa Marktanteile. Google Offerwall soll Publisher trösten. RFK Jr. streicht Impfgelder. ICE scannt Gesichter per App. Salesforce meldet 30 % KI-Produktivität. Trump-Phone stammt doch aus China. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) OpenAI ↔ Microsoft – AGI-Klausel (00:04:00) Meta heuert Ex-OpenAI/DeepMind-Forscher an (00:11:50) Harvey – 300 Mio.$-Runde für Legal-AI (00:21:20) China-KI-Offensive & Chip-Embargo (00:25:00) DeepMind AlphaGenome – Gen-Funktions-Prediction (00:27:25) Scale-AI-Leak: offenliegende Kundendaten (00:32:00) ChatGPT & Perplexity erobern WhatsApp (00:36:40) DMA in Gefahr – EU/USA-Autodea (00:39:50) Tesla-Absatzrückgang in Europa (00:42:00) Reddit „Human Verification“ (00:44:00) Google Offerwall gegen KI-Traffic-Verlust (00:45:30) Schmuddelecke Shownotes Keynote Deck - Coatue OpenAI, Microsoft Konflikt: Intelligenz von KI entscheidend – wsj.com Meta engagiert OpenAI-Forscher für KI-Modelle – techcrunch.com Meta gewinnt den Talentwettstreit mit OpenAI – theverge.com Harvey erhält $300 Millionen bei $5 Milliarden Bewertung für juristische KI – fortune.com China kurz vor über 100 DeepSeeks, sagt Ex-Spitzenbeamter – bloomberg.com DeepSeeks Fortschritt durch US-Exportkontrollen gebremst – theinformation.com Google Gen Tool – technologyreview.com Scale AI: Sensible Kundendaten in öffentlichen Google-Dokumenten offengelegt – africa.businessinsider.com Einer der besten Hacker des Landes ist ein KI-Bot – bloomberg.com Meta fügt KI-gestützte Zusammenfassungen zu WhatsApp hinzu – techcrunch.com Meta im KI-Wettbewerb: WhatsApp als Chatbot-Schlachtfeld – Business Insider Meta plant Übernahme von AI-Startup PlayAI – bloomberg.com Aussetzung des DMA? - Sorge vor EU-USA Kuhhandel – share.google Teslas europäische Verkaufszahlen sinken fünften Monat in Folge – on.ft.com Reddit verspricht menschlich zu bleiben – on.ft.com Krypto-Besitz könnte Hypotheken erleichtern – businessinsider.com Da KI den Suchverkehr reduziert, startet Google Offerwall zur Umsatzsteigerung – techcrunch.com Robert Kennedy stoppt US-Finanzierung für globale Impfstoffallianz – ft.com ICE App – 404media.co Salesforce-CEO: 30 % der internen Arbeit durch KI – bloomberg.com Trump Mobile: Neue Telefone 'made in America' – eu.usatoday.com

A daily Chronicle of AI Innovations in June 2025: June 26thRead Online | Sign Up | Advertise | AI Builder's ToolkitHello AI Unraveled Listeners,In today's AI Daily News,

What does it take to build AI-powered products that scale? In this episode, we are joined by Jonathan Evens, Product Lead at Google DeepMind, to explore the evolving role of product management in the AI era. Jonathan draws from experience across startups and Big Tech, ranging from smart grid systems to LLM-powered search, to reveal how high-impact AI products come to life. He breaks down DeepMind's journey launching “AI Overviews” in Search, from beta testing in May 2023 to worldwide rollout just six months later. Jonathan also shares frameworks for balancing problem-led versus technology-led thinking, future-proofing AI roadmaps, and making intelligent experiences (not just features) the north star. He's here to help product teams demystify LLMs and launch bold AI functionality with nimble development cycles. Tune in to gain practical advice for integrating AI thoughtfully, iterating quickly, and delivering real value.

Today on the podcast we are joined by tech titan ​Reid Hoffman. As the founder of LinkedIn, which Microsoft acquired for $26 billion, Reid is one of the most successful entrepreneurs in history.He broke through as a founding board member of PayPal, one of the so-called PayPal mafia alongside Elon Musk and Peter Thiel. Reid went on to become a legendary investor both as an angel and partner at Greylock. He invested in Facebook's first round and led Airbnb's Series A.Reid operates right at the cutting edge of AI. He was one of the first backers and board members of OpenAI. He's also on the board of Microsoft, which did a $650M+ deal with Reid's startup, Inflection AI. You'll remember Inflection from our interview with Deepmind's Mustafa Suleyman, Reid's co-founder.Alongside all of this, Reid has forged a path as one of Silicon Valley's public intellectuals. Following startup bibles like Blitzscaling, his latest book is "Superagency: What Could Possibly Go Right With Our AI Future.” Welcome Reid!Building a purpose driven company? Read more about Giant Ventures at www.Giant.vc.Music credits: Bubble King written and produced by Cameron McLain and Stevan Cablayan aka Vector_XING. Please note: The content of this podcast is for informational and entertainment purposes only. It should not be considered financial, legal, or investment advice. Always consult a licensed professional before making any investment decisions.

Our 212th episode with a summary and discussion of last week's big AI news! Recorded on 06/33/2025 Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. In this episode: OpenAI introduces O3 PRO for ChatGPT, highlighting significant improvements in performance and cost-efficiency. Anthropic sees an influx of talent from OpenAI and DeepMind, with significantly higher retention rates and competitive advantages in AI capabilities. New research indicates that reinforcing negative responses in LLMs significantly improves performance across all metrics, highlighting novel approaches in reinforcement learning. A security flaw in Microsoft Copilot demonstrates the growing risk of AI agents being hacked, emphasizing the need for robust protection against zero-click attacks. Timestamps + Links: (00:00:11) Intro / Banter (00:01:31) News Preview (00:02:46) Response to Listener Reviews Tools & Apps (00:04:48) OpenAI adds o3 Pro to ChatGPT and drops o3 price by 80 per cent, but open-source AI is delayed (00:09:10) Cursor AI editor hits 1.0 milestone, including BugBot and high-risk background agents (00:13:07) Mistral releases a pair of AI reasoning models (00:16:18) Elevenlabs' Eleven v3 lets AI voices whisper, laugh and express emotions naturally (00:19:00) ByteDance's Seedance 1.0 is trading blows with Google's Veo 3 (00:22:42) Google Reveals $20 AI Pro Plan With Veo 3 Fast Video Generator For Budget Creators Applications & Business (00:25:42) OpenAI and DeepMind are losing engineers to Anthropic in a one-sided talent war (00:34:32) OpenAI slams court order to save all ChatGPT logs, including deleted chats (00:37:24) Nvidia's Biggest Chinese Rival Huawei Struggles to Win at Home (00:43:06) Huawei Expected to Break Semiconductor Barriers with Development of High-End 3nm GAA Chips; Tape-Out by 2026 (00:45:21) TSMC's 1.4nm Process, Also Called Angstrom, Will Make Even The Most Lucrative Clients Think Twice When Placing Orders, With An Estimate Claiming That Each Wafer Will Cost $45,000 (00:47:43) Mistral AI Launches Mistral Compute To Replace Cloud Providers from US, China Projects & Open Source (00:51:26) ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Research & Advancements (00:57:27) Kinetics: Rethinking Test-Time Scaling Laws (01:05:12) The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning (01:10:45) Predicting Empirical AI Research Outcomes with Language Models (01:15:02) EXP-Bench: Can AI Conduct AI Research Experiments? Policy & Safety (01:20:07) Large Language Models Often Know When They Are Being Evaluated (01:24:56) Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence (01:31:16) Exclusive: New Microsoft Copilot flaw signals broader risk of AI agents being hacked—‘I would be terrified' (01:35:01) Claude Gov Models for U.S. National Security Customers Synthetic Media & Art (01:37:32) Disney And NBCUniversal Sue AI Company Midjourney For Copyright Infringement (01:40:39) AMC Networks is teaming up with AI company Runway

Terence Tao is widely considered to be one of the greatest mathematicians in history. He won the Fields Medal and the Breakthrough Prize in Mathematics, and has contributed to a wide range of fields from fluid dynamics with Navier-Stokes equations to mathematical physics & quantum mechanics, prime numbers & analytics number theory, harmonic analysis, compressed sensing, random matrix theory, combinatorics, and progress on many of the hardest problems in the history of mathematics. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep472-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/terence-tao-transcript CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Terence's Blog: https://terrytao.wordpress.com/ Terence's YouTube: https://www.youtube.com/@TerenceTao27 Terence's Books: https://amzn.to/43H9Aiq SPONSORS: To support this podcast, check out our sponsors & get discounts: Notion: Note-taking and team collaboration. Go to https://notion.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex AG1: All-in-one daily nutrition drink. Go to https://drinkag1.com/lex OUTLINE: (00:00) - Introduction (00:36) - Sponsors, Comments, and Reflections (09:49) - First hard problem (15:16) - Navier–Stokes singularity (35:25) - Game of life (42:00) - Infinity (47:07) - Math vs Physics (53:26) - Nature of reality (1:16:08) - Theory of everything (1:22:09) - General relativity (1:25:37) - Solving difficult problems (1:29:00) - AI-assisted theorem proving (1:41:50) - Lean programming language (1:51:50) - DeepMind's AlphaProof (1:56:45) - Human mathematicians vs AI (2:06:37) - AI winning the Fields Medal (2:13:47) - Grigori Perelman (2:26:29) - Twin Prime Conjecture (2:43:04) - Collatz conjecture (2:49:50) - P = NP (2:52:43) - Fields Medal (3:00:18) - Andrew Wiles and Fermat's Last Theorem (3:04:15) - Productivity (3:06:54) - Advice for young people (3:15:17) - The greatest mathematician of all time PODCAST LINKS: - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips

Audio note: this article contains 127 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description. Confidence: Medium, underlying data is patchy and relies on a good amount of guesswork, data work involved a fair amount of vibecoding. Intro:  Tom Davidson has an excellent post explaining the compute bottleneck objection to the software-only intelligence explosion.[1] The rough idea is that AI research requires two inputs: cognitive labor and research compute. If these two inputs are gross complements, then even if there is recursive self-improvement in the amount of cognitive labor directed towards AI research, this process will fizzle as you get bottlenecked by the amount of research compute. The compute bottleneck objection to the software-only intelligence explosion crucially relies on compute and cognitive labor being gross complements; however, this fact is not [...] ---Outline:(00:35) Intro:(02:16) Model(02:19) Baseline CES in Compute(04:07) Conditions for a Software-Only Intelligence Explosion(07:39) Deriving the Estimation Equation(09:31) Alternative CES Formulation in Frontier Experiments(10:59) Estimation(11:02) Data(15:02) Trends(15:58) Estimation Results(18:52) ResultsThe original text contained 13 footnotes which were omitted from this narration. --- First published: June 1st, 2025 Source: https://forum.effectivealtruism.org/posts/xoX936hEvpxToeuLw/estimating-the-substitutability-between-compute-and --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

If we want AI systems that actually work in production, we need better infrastructure—not just better models. In this episode, Hugo talks with Akshay Agrawal (Marimo, ex-Google Brain, Netflix, Stanford) about why data and AI pipelines still break down at scale, and how we can fix the fundamentals: reproducibility, composability, and reliable execution. They discuss:

Cyan Banister is an angel investor and entrepreneur renowned for her early investments in transformative tech companies such as Uber, SpaceX, DeepMind, and Postmates. Banister's path to success was unconventional, she experienced homelessness as a teenager and dropped out of high school.Through self-education and determination, she became a self-taught engineer, holding key roles at a cybersecurity startup acquired by Cisco for $850 million.Cyan emphasises themes of empathy, love, and personal growth, and the healing power of philosophy in overcoming adversity and trauma.Learn more about CyanKeep up to date with Peter on SubstackKeep up to date with Kasia!If you would like to support the podcast please consider our PatreonExecutive Producer: Rachel BarrettThanks to our volunteer researchers Hendrik Dahlmeier and Mihika Chechi, and Chris van Ryn!And special thanks to Suzi Jamil! Hosted on Acast. See acast.com/privacy for more information.

Čtení s Respektem #12 s Kristinou a Stanislavem Fortovými, Janem Pačesem a Martinem Uhlířem o umělé inteligenci, která urychluje evoluci, regulacích i virech navržených v garáži nad knihou Nezadržitelná vlna. Moderuje Štěpán Sedláček.Valí se na nás další nezadržitelná vlna inovací, tentokrát podnícených rozvojem pokročilé umělé inteligence, ale také biotechnologií. Potenciální přínosy i rizika souvisejících objevů vyplývajících ze spojení sil AI a syntetické biologie nemají obdoby. Můžou zásadně proměnit fungování a směřování společností, firem a států. S úpravou genetických informací je ovšem ve hře i podoba života jako takového. Optimistický i varovný popis některých zásadních výzev ve stínu tohoto technologického vývoje nabízí nová kniha Nezadržitelná vlna: Technologie, umělá inteligence, moc a největší dilema 21. století (Audiolibrix). Jejími autory jsou britský spisovatel a výzkumník Michael Bhaskar a Mustafa Suleyman, který spoluzaložil společnost DeepMind a dnes vede Microsoft AI. Jaké revoluční změny v pozitivním i negativním smyslu nové technologie můžou způsobit? Co už dnes pokročilá AI umí mimo jiné na poli biologie? Je naznačený vývoj skutečně nezadržitelný? A jak lze přicházející vlnu nejlépe usměrnit či regulovat? Nejen o tom debatoval na Čtení s Respektem v Antikvariátu Dejvického divadla Štěpán Sedláček s analytičkou a odbornicí na regulace AI Kristinou Fort, expertem na AI a vývojářem velkých jazykových modelů Stanislavem Fortem, bioinformatikem a genetikem Janem Pačesem a vědeckým novinářem Martinem Uhlířem. Úvodní ukázku z knihy přečetla dramaturgyně Dejvického divadla Marta Ljubková. K tématu debaty doporučujeme také článek: Nejbližší roky rozhodnou, zda bude člověk pastýřem umělé inteligence, nebo naopak

Jonathan Godwin is co-founder and CEO of Orbital Materials, an AI-first materials-engineering start-up. The company open-sourced Orb, a state-of-the-art simulation model, and now designs bespoke porous materials—its first aimed at cooling data-centres while capturing CO₂ or water. Jonathan shares how his DeepMind background shaped Orbital's “design-before-experiment” approach, why the team chose data-center sustainability as a beachhead market, and what it takes to build a vertically integrated, AI-native industrial company. The conversation explores the future of faster, cheaper R&D, the role of advanced materials in decarbonization, and the leap from software to physical products.In this episode, we cover: [02:12] Johnny's path from DeepMind to materials start-up[04:02] Trial-and-error vs AI-driven design shift[06:40] University/industry dynamics in materials R&D[10:17] Generative agent plus simulation for rapid discovery[13:01] Mitigating hallucinations with virtual experiments[18:18] Choosing a “hero” product and vertical integration[25:43] Dual-use chiller for cooling and CO₂ or water capture[32:26] Partnering on manufacturing to stay asset-light[35:58] Building an AI-native industrial giant of the future[36:51]: Orbital's investorsEpisode recorded on April 30, 2025 (Published on May 27, 2025) Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at info@mcj.vc.Connect with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant

This week we are joined by fellow traveler Dan Gish to discuss LLMs and AGI. Does it really, truly make sense to think that OpenAI or DeepMind are not at least an important stepping stone towards the creation of human-level creativity? What does it mean when CritRats assert that these AI algorithms are the opposite of human intelligence because they are obedient whereas we are disobedient?⁠⁠Support us on Patreon⁠

Head on over to https://cell.ver.so/TOE and use coupon code TOE at checkout to save 15% on your first order. Get ready to witness a turning point in mathematical history: in this episode, we dive into the AI breakthroughs that stunned number theorists worldwide. Join us as Professor Yang-Hue Hi discusses the murmuration conjecture, shows how DeepMind, OpenAI, and EpochAI are rewriting the rules of pure math, and reveals what happens when machines start making research-level discoveries faster than any human could. AI is taking us beyond proof straight into the future of discovery. As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Timestamps: 00:00 Introduction to a New Paradigm 01:34 The Changing Landscape of Research 03:30 Categories of Machine Learning in Mathematics 06:53 Researchers: Birds vs. Hedgehogs 09:36 Personal Experiences with AI in Research 11:44 The Future Role of Academics 14:08 Presentation on the AI Mathematician 16:14 The Role of Intuition in Discovery 18:00 AI's Assistance in Vague Problem Solving 18:48 Newton and AI: A Historical Perspective 20:59 Literature Processing with AI 24:34 Acknowledging Modern Mathematicians 26:54 The Influence of Data on Mathematical Discovery 30:22 The Riemann Hypothesis and Its Implications 31:55 The BST Conjecture and Data Evolution 33:29 Collaborations and AI Limitations 36:04 The Future of Mathematics and AI 38:31 Image Processing and Mathematical Intuition 41:57 Visual Thinking in Mathematics 49:24 AI-Assisted Discovery in Mathematics 51:34 The Murmuration Conjecture and AI Interaction 57:05 Hierarchies of Difficulty 58:43 The Memoration Breakthrough 1:00:28 Understanding the BSD Conjecture 1:01:45 Diophantine Equations Explained 1:03:39 The Cubic Complexity 1:19:03 Neural Networks and Predictions 1:21:36 Breaking the Birch Test 1:24:44 The BSD Conjecture Clarified 1:26:21 The Role of AI in Discovery 1:30:29 The Memoration Phenomenon 1:32:59 PCA Analysis Insights 1:35:50 The Emergence of Memoration 1:38:35 Conjectures and AI's Role 1:41:29 Generalizing Biases in Mathematics 1:44:55 The Future of AI in Mathematics 1:49:28 The Brave New World of Discovery Links Mentioned: - Topology and Physics (book): https://amzn.to/3ZoneEn - Machine Learning in Pure Mathematics and Theoretical Physics (book): https://amzn.to/4k8SXC6 - The Calabi-Yau Landscape (book): https://amzn.to/43DO7H0 - Yang-Hui's bio and published papers: https://www.researchgate.net/profile/Yang-Hui-He - A Triumvirate of AI-Driven Theoretical Discovery (paper): https://arxiv.org/abs/2405.19973 - Edward Frenkel explains the Geometric Langlands Correspondence on TOE: https://www.youtube.com/watch?v=RX1tZv_Nv4Y - Stone Duality (Wiki): https://en.wikipedia.org/wiki/Stone_duality - Summer of Math Exposition: https://some.3b1b.co/ - Machine Learning meets Number Theory: The Data Science of Birch–Swinnerton-Dyer (paper): https://arxiv.org/pdf/1911.02008 - The L-functions and modular forms database: https://www.lmfdb.org/ - Epoch AI FrontierMath: https://epoch.ai/frontiermath/the-benchmark - Mathematical Beauty (article): https://www.quantamagazine.org/mathematical-beauty-truth-and-proof-in-the-age-of-ai-20250430/ SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs #science Learn more about your ad choices. Visit megaphone.fm/adchoices

If we want to make progress toward AGI, we need a clear definition of intelligence—and a way to measure it. In this episode, Hugo talks with Greg Kamradt, President of the ARC Prize Foundation, about ARC-AGI: a benchmark built on Francois Chollet's definition of intelligence as “the efficiency at which you learn new things.” Unlike most evals that focus on memorization or task completion, ARC is designed to measure generalization—and expose where today's top models fall short. They discuss:

The late biologist E.O. Wilson said that “the real problem of humanity is the following: We have Paleolithic emotions, medieval institutions, and god-like technology. And it is terrifically dangerous.” Wilson said that back in 2011, long before any of us were talking about large language models or GPTs. A little more than a decade later, artificial intelligence is already completely transforming our world. Practitioners and experts have compared A.I. to the advent of electricity and fire itself. “God-like” doesn't seem that far off. Even sober experts predict disease cures and radically expanded lifespans, real-time disaster prediction and response, the elimination of language barriers, and other earthly miracles. A.I. is amazing, in the truest sense of that word. It is also leading some to predict nothing less than a crisis in what it means to be human in an age of brilliant machines. Others—including some of the people creating this technology—predict our possible extinction as a species. But you don't have to go quite that far to imagine the way it will transform our relationship toward information and our ability to pursue the truth. For tens of thousands of years, since humans started to stand upright and talk to each other, we've found our way to wisdom through disagreement and debate. But in the age of A.I., our sources of truth are machines that spit out the information we already have, reflecting our biases and our blind spots. What happens to truth when we no longer wrestle with it—and only receive it passively? When disagreeable, complicated human beings are replaced with A.I. chatbots that just tell us what we want to hear? It makes today's concerns about misinformation and disinformation seem quaint. Our ability to detect whether something is real or an A.I.-generated fabrication is approaching zero. And unlike social media—a network of people that we instinctively know can be wrong—A.I. systems have a veneer of omniscience, despite being riddled with the biases of the humans who trained them. Meanwhile, a global arms race is underway, with the U.S. and China competing to decide who gets to control the authoritative information source of the future. So last week Bari traveled to San Francisco to host a debate on whether this remarkable, revolutionary technology will enhance our understanding of the world and bring us closer to the truth . . .or do just the opposite. The resolution: The Truth Will Survive Artificial Intelligence! Aravind Srinivas argued yes—the truth will survive A.I. Aravind is the CEO of one of the most exciting companies in this field, Perplexity, which he co-founded in 2022 after working at OpenAI, Google, and DeepMind.  Aravind was joined by Dr. Fei-Fei Li. Fei-Fei is a professor of computer science at Stanford, the founding co-director of the Stanford Institute for Human-Centered A.I., and the CEO and co-founder of World Labs, an A.I. company focusing on spatial intelligence and generative A.I.  Jaron Lanier argued that no, the truth will not survive A.I. Jaron is a computer scientist, best-selling author, and the founder of VPL Research, the first company to sell virtual reality products. Jaron was joined by Nicholas Carr, the author of countless best-selling books on the human consequences of technology, including Pulitzer Prize finalist The Shallows, The Glass Cage, and, most recently, Superbloom. He also writes the wonderful Substack New Cartographies. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Steven and Shaun sit down with Aira CEO Troy Otillio to unpack the company's major collaboration with Google and DeepMind, announced at Google I/O. Troy discusses how this partnership will shape the future of visual interpreting for blind users, including the development of a new AI-powered visual interpreter model.He also explains Aira's Build AI initiative, how user data is used with consent, and what it means to become a "Trusted Tester." The conversation covers the ethical implications of proactive AI, the potential for memory-aware AI agents, and why humans will remain central to Aira's service. Troy also shares insights on the potential integration of Aira with smart glasses through Google's XR platform and answers directly what international users should do in order to access the service around the world.Chapters00:00 - Introduction00:45 - Troy Otillio, CEO of Aira, joins Double Tap01:15 - Aira at Google I/O 202506:47 - Aira's Partnership With Google Explained15:57 - Proactive AI: Will it become a reality for live guidance?27:52 - Why Is The Trial US only?35:55 - What Will The App Experience Be Like?38:03 - Are There Any Time Limits?43:05 - Will Aira AI Be Available On Desktop?46:33 - Interesting Use Cases For Aira54:33 - Google Glaases & Android XRRelevant LinksAira: https://aira.ioGoogle I/O 2025: https://io.googleProject Astra by Google DeepMind: https://deepmind.google/Trusted Tester Sign-Up: https://aira.io/trustedtester Find Double Tap online: YouTube, Double Tap Website---Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedin Subscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheart About Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited. "Double Tap" is a registered trademark of Double Tap Productions Inc.

Our 209th episode with a summary and discussion of last week's big AI news! Recorded on 05/16/2025 Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. Join our Discord here! https://discord.gg/nTyezGSKwP In this episode: OpenAI has decided not to transition from a nonprofit to a for-profit entity, instead opting to become a public benefit corporation influenced by legal and civic discussions. Trump administration meetings with Saudi Arabia and the UAE have opened floodgates for AI deals, leading to partnerships with companies like Nvidia and aiming to bolster AI infrastructure in the Middle East. DeepMind introduced Alpha Evolve, a new coding agent designed for scientific and algorithmic discovery, showing improvements in automated code generation and efficiency. OpenAI pledges greater transparency in AI safety by launching the Safety Evaluations Hub, a platform showcasing various safety test results for their models. Timestamps + Links: (00:00:00) Intro / Banter (00:01:41) News Preview (00:02:26) Response to listener comments Applications & Business (00:03:00) OpenAI says non-profit will remain in control after backlash (00:13:23) Microsoft Moves to Protect Its Turf as OpenAI Turns Into Rival (00:18:07) TSMC's 2nm Process Said to Witness ‘Unprecedented' Demand, Exceeding 3nm Due to Interest from Apple, NVIDIA, AMD, & Many Others (00:21:42) NVIDIA's Global Headquarters Will Be In Taiwan, With CEO Huang Set To Announce Site Next Week, Says Report (00:23:58) CoreWeave in Talks for $1.5 Billion Debt Deal 6 Weeks After IPO Tools & Apps (00:26:39) The Day Grok Told Everyone About ‘White Genocide' (00:32:58) Figma releases new AI-powered tools for creating sites, app prototypes, and marketing assets (00:36:12) Google's bringing Gemini to your car with Android Auto (00:38:49) Google debuts an updated Gemini 2.5 Pro AI model ahead of I/O (00:45:09) Hugging Face releases a free Operator-like agentic AI tool Projects & Open Source (00:47:42) Stability AI releases an audio-generating model that can run on smartphones (00:50:47) Freepik releases an ‘open' AI image generator trained on licensed data (00:54:22) AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale (01:01:29) BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset Research & Advancements (01:05:40) DeepMind claims its newest AI tool is a whiz at math and science problems (01:12:31) Absolute Zero: Reinforced Self-play Reasoning with Zero Data (01:19:44) How far can reasoning models scale? (01:26:47) HealthBench: Evaluating Large Language Models Towards Improved Human Health Policy & Safety (01:34:10) Trump administration officially rescinds Biden's AI diffusion rules (01:37:08) Trump's Mideast Visit Opens Floodgate of AI Deals Led by Nvidia (01:44:04) Scaling Laws For Scalable Oversight (01:49:43) OpenAI pledges to publish AI safety test results more often

DeepMind's AlphaEvolve solves math and science problems by generating and critiquing its own answers. Meanwhile, the U.S. warns against Huawei chips, Sony eyes PS5 price hikes, Max reverts to HBO Max, Uber launches shuttles, Google tests AI Mode, and Airbnb adds on-demand services. Starring Sarah Lane, Tom Merritt, Scott Johnson, Amos, and Joe. To read the show notes in a separate page click here! Support the show on Patreon by becoming a supporter!

Warners Bros Discovery goes back to HBO Max, Sony warns of PS5 price hikes, Google replaces “I'm feeling lucky” with AI mode. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoy what you see you canContinue reading "DeepMind Unveils AI System AlphaEvolve – DTH"

Today GoogleDeepMind released AlphaEvolve: a Gemini coding agent for algorithm discovery. It beat the famous Strassen algorithm for matrix multiplication set 56 years ago. Google has been killing it recently. We had early access to the paper and interviewed the researchers behind the work.AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithmshttps://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/Authors: Alexander Novikov*, Ngân Vũ*, Marvin Eisenberger*, Emilien Dupont*, Po-Sen Huang*, Adam Zsolt Wagner*, Sergey Shirobokov*, Borislav Kozlovskii*, Francisco J. R. Ruiz, Abbas Mehrabian, M. Pawan Kumar, Abigail See, Swarat Chaudhuri, George Holland, Alex Davies, Sebastian Nowozin, Pushmeet Kohli, Matej Balog*(* indicates equal contribution or special designation, if defined elsewhere)SPONSOR MESSAGES:***Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/***AlphaEvolve works like a very smart, tireless programmer. It uses powerful AI language models (like Gemini) to generate ideas for computer code. Then, it uses an "evolutionary" process – like survival of the fittest for programs. It tries out many different program ideas, automatically tests how well they solve a problem, and then uses the best ones to inspire new, even better programs.Beyond this mathematical breakthrough, AlphaEvolve has already been used to improve real-world systems at Google, such as making their massive data centers run more efficiently and even speeding up the training of the AI models that power AlphaEvolve itself. The discussion also covers how humans work with AlphaEvolve, the challenges of making AI discover things, and the exciting future of AI helping scientists make new discoveries.In short, AlphaEvolve is a powerful new AI tool that can invent new algorithms and solve complex problems, showing how AI can be a creative partner in science and engineering.Guests:Matej Balog: https://x.com/matejbalogAlexander Novikov: https://x.com/SashaVNovikovREFS:MAP Elites [Jean-Baptiste Mouret, Jeff Clune]https://arxiv.org/abs/1504.04909FunSearch [Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli & Alhussein Fawzi]https://www.nature.com/articles/s41586-023-06924-6TOC:[00:00:00] Introduction: Alpha Evolve's Breakthroughs, DeepMind's Lineage, and Real-World Impact[00:12:06] Introducing AlphaEvolve: Concept, Evolutionary Algorithms, and Architecture[00:16:56] Search Challenges: The Halting Problem and Enabling Creative Leaps[00:23:20] Knowledge Augmentation: Self-Generated Data, Meta-Prompting, and Library Learning[00:29:08] Matrix Multiplication Breakthrough: From Strassen to AlphaEvolve's 48 Multiplications[00:39:11] Problem Representation: Direct Solutions, Constructors, and Search Algorithms[00:46:06] Developer Reflections: Surprising Outcomes and Superiority over Simple LLM Sampling[00:51:42] Algorithmic Improvement: Hill Climbing, Program Synthesis, and Intelligibility[01:00:24] Real-World Application: Complex Evaluations and Robotics[01:05:39] Role of LLMs & Future: Advanced Models, Recursive Self-Improvement, and Human-AI Collaboration[01:11:22] Resource Considerations: Compute Costs of AlphaEvolveThis is a trial of posting videos on Spotify, thoughts? Email me or chat in our Discord

Nabeel Qureshi is an entrepreneur, writer, researcher, and visiting scholar of AI policy at the Mercatus Center (alongside Tyler Cowen). Previously, he spent nearly eight years at Palantir, working as a forward-deployed engineer. His work at Palantir ranged from accelerating the Covid-19 response to applying AI to drug discovery to optimizing aircraft manufacturing at Airbus. Nabeel was also a founding employee and VP of business development at GoCardless, a leading European fintech unicorn.What you'll learn:• Why almost a third of all Palantir's PMs go on to start companies• How the “forward-deployed engineer” model works and why it creates exceptional product leaders• How Palantir transformed from a “sparkling Accenture” into a $200 billion data/software platform company with more than 80% margins• The unconventional hiring approach that screens for independent-minded, intellectually curious, and highly competitive people• Why the company intentionally avoids traditional titles and career ladders—and what they do instead• Why they built an ontology-first data platform that LLMs love• How Palantir's controversial “bat signal” recruiting strategy filtered for specific talent types• The moral case for working at a company like Palantir—Brought to you by:• WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs• Attio—The powerful, flexible CRM for fast-growing startups• OneSchema—Import CSV data 10x faster—Where to find Nabeel S. Qureshi:• X: https://x.com/nabeelqu• LinkedIn: https://www.linkedin.com/in/nabeelqu/• Website: https://nabeelqu.co/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nabeel S. Qureshi(05:10) Palantir's unique culture and hiring(13:29) What Palantir looks for in people(16:14) Why they don't have titles(19:11) Forward-deployed engineers at Palantir(25:23) Key principles of Palantir's success(30:00) Gotham and Foundry(36:58) The ontology concept(38:02) Life as a forward-deployed engineer(41:36) Balancing custom solutions and product vision(46:36) Advice on how to implement forward-deployed engineers(50:41) The current state of forward-deployed engineers at Palantir(53:15) The power of ingesting, cleaning and analyzing data(59:25) Hiring for mission-driven startups(01:05:30) What makes Palantir PMs different(01:10:00) The moral question of Palantir(01:16:03) Advice for new startups(01:21:12) AI corner(01:24:00) Contrarian corner(01:25:42) Lightning round and final thoughts—Referenced:• Reflections on Palantir: https://nabeelqu.co/reflections-on-palantir• Palantir: https://www.palantir.com/• Intercom: https://www.intercom.com/• Which companies produce the best product managers: https://www.lennysnewsletter.com/p/which-companies-produce-the-best• Gotham: https://www.palantir.com/platforms/gotham/• Foundry: https://www.palantir.com/platforms/foundry/• Peter Thiel on X: https://x.com/peterthiel• Alex Karp: https://en.wikipedia.org/wiki/Alex_Karp• Stephen Cohen: https://en.wikipedia.org/wiki/Stephen_Cohen_(entrepreneur)• Joe Lonsdale on LinkedIn: https://www.linkedin.com/in/jtlonsdale/• Tyler Cowen's website: https://tylercowen.com/• This Scandinavian City Just Won the Internet With Its Hilarious New Tourism Ad: https://www.afar.com/magazine/oslos-new-tourism-ad-becomes-viral-hit• Safe Superintelligence: https://ssi.inc/• Mira Murati on X: https://x.com/miramurati• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Airbus: https://www.airbus.com/en• NIH: https://www.nih.gov/• Jupyter Notebooks: https://jupyter.org/• Shyam Sankar on LinkedIn: https://www.linkedin.com/in/shyamsankar/• Palantir Gotham for Defense Decision Making: https://www.youtube.com/watch?v=rxKghrZU5w8• Foundry 2022 Operating System Demo: https://www.youtube.com/watch?v=uF-GSj-Exms• SQL: https://en.wikipedia.org/wiki/SQL• Airbus A350: https://en.wikipedia.org/wiki/Airbus_A350• SAP: https://www.sap.com/index.html• Barry McCardel on LinkedIn: https://www.linkedin.com/in/barrymccardel/• Understanding ‘Forward Deployed Engineering' and Why Your Company Probably Shouldn't Do It: https://www.barry.ooo/posts/fde-culture• David Hsu on LinkedIn: https://www.linkedin.com/in/dvdhsu/• Retool's Path to Product-Market Fit—Lessons for Getting to 100 Happy Customers, Faster: https://review.firstround.com/retools-path-to-product-market-fit-lessons-for-getting-to-100-happy-customers-faster/• How to foster innovation and big thinking | Eeke de Milliano (Retool, Stripe): https://www.lennysnewsletter.com/p/how-to-foster-innovation-and-big• Looker: https://cloud.google.com/looker• Sorry, that isn't an FDE: https://tedmabrey.substack.com/p/sorry-that-isnt-an-fde• Glean: https://www.glean.com/• Limited Engagement: Is Tech Becoming More Diverse?: https://www.bkmag.com/2017/01/31/limited-engagement-creating-diversity-in-the-tech-industry/• Operation Warp Speed: https://en.wikipedia.org/wiki/Operation_Warp_Speed• Mark Zuckerberg testifies: https://www.businessinsider.com/facebook-ceo-mark-zuckerberg-testifies-congress-libra-cryptocurrency-2019-10• Anduril: https://www.anduril.com/• SpaceX: https://www.spacex.com/• Principles: https://nabeelqu.co/principles• Wispr Flow: https://wisprflow.ai/• Claude code: https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview• Gemini Pro 2.5: https://deepmind.google/technologies/gemini/pro/• DeepMind: https://deepmind.google/• Latent Space newsletter: https://www.latent.space/• Swyx on x: https://x.com/swyx• Neural networks in chess programs: https://www.chessprogramming.org/Neural_Networks• AlphaZero: https://en.wikipedia.org/wiki/AlphaZero• The top chess players in the world: https://www.chess.com/players• Decision to Leave: https://www.imdb.com/title/tt12477480/• Oldboy: https://www.imdb.com/title/tt0364569/• Christopher Alexander: https://en.wikipedia.org/wiki/Christopher_Alexander—Recommended books:• The Technological Republic: Hard Power, Soft Belief, and the Future of the West: https://www.amazon.com/Technological-Republic-Power-Belief-Future/dp/0593798694• Zero to One: Notes on Startups, or How to Build the Future: https://www.amazon.com/Zero-One-Notes-Startups-Future/dp/0804139296• Impro: Improvisation and the Theatre: https://www.amazon.com/Impro-Improvisation-Theatre-Keith-Johnstone/dp/0878301178/• William Shakespeare: Histories: https://www.amazon.com/Histories-Everymans-Library-William-Shakespeare/dp/0679433120/• High Output Management: https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884• Anna Karenina: https://www.amazon.com/Anna-Karenina-Leo-Tolstoy/dp/0143035002—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

My Conversation with Gary begins at about 22 mins Stand Up is a daily podcast that I book,host,edit, post and promote new episodes with brilliant guests every day. Please subscribe now for as little as 5$ and gain access to a community of over 700 awesome, curious, kind, funny, brilliant, generous souls Check out StandUpwithPete.com to learn more Get Gary's new book!  A veteran Pulitzer Prize-winning journalist shadows the top thinkers in the field of Artificial Intelligence, introducing the breakthroughs and developments that will change the way we live and work. Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI's moment finally arrived? In AI Valley, Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment. That includes LinkedIn founder Reid Hoffman, the legendary investor whom the Wall Street Journal once called, “the most connected person in Silicon Valley.” Through Hoffman, Rivlin is granted access to a number of companies on the cutting-edge of AI research, such as Inflection AI, the company Hoffman cofounded in 2022, and OpenAI, the San Francisco-based startup that sparked it all with its release at the end of that year of ChatGPT. In addition to Hoffman, Rivlin introduces us to other AI experts, including OpenAI cofounder Sam Altman and Mustafa Suleyman, the co-founder of DeepMind, an early AI startup that Google bought for $650  million in 2014. Rivlin also brings readers inside Microsoft, Meta, Google and other tech giants scrambling to keep pace. On this vast frontier, no one knows which of these companies will hit it big–or which will flame out spectacularly. In this riveting narrative marbled with familiar names such as Musk, Zuckerberg, and Gates, Rivlin chronicles breakthroughs as they happen, giving us a deep understanding of what's around the corner in AI development. An adventure story full of drama and unforgettable personalities, AI Valley promises to be the definitive story for anyone seeking to understand the latest phase of world-changing discoveries and the minds behind them. Join us Monday's and Thursday's at 8EST for our Bi Weekly Happy Hour Hangout's !  Pete on Blue Sky Pete on Threads Pete on Tik Tok Pete on YouTube  Pete on Twitter Pete On Instagram Pete Personal FB page Stand Up with Pete FB page All things Jon Carroll  Follow and Support Pete Coe Buy Ava's Art  Hire DJ Monzyk to build your website or help you with Marketing Gift a Subscription https://www.patreon.com/PeteDominick/gift  

In episode 1860, Jack and guest co-host Andrew Ti are joined by host of Worse Than You, Mo Fry Pasic, to discuss…REAL ID Isn’t Real, Cyber Trucks Just Totally Stop Selling, This AI Expert Thinks The AI Bubble’s About to Pop and more! What you need to know about the REAL ID requirements for air travel The Racist Origins of the Real ID Act Top Trump agency reveals key reason why REAL ID will be enforced 'Mass surveillance': Conservatives sound alarm over Trump admin's REAL ID rollout Trump’s Insistence on Real ID Has Become a Flashpoint for His Tinfoil Hat Fans You can get a free Krispy Kreme doughnut on May 7 for Real ID deadline: Here's how Homeland Security chief says travelers with no REAL ID can fly for now, but with likely extra steps Flying out of Indianapolis without REAL ID? Don't fret — the airport isn't turning people away Tesla’s Inventory of Unsold Cybertrucks Skyrockets, Despite Offering $10K Discounts and Concealing Listings The Silicon Valley sceptic warning tech’s new bubble is about to burst Deep Learning Is Hitting a Wall Microsoft’s £2.5bn investment in Britain at risk from creaking power grid Chess helped me win the Nobel Prize, says Google’s AI genius OpenAI overrode concerns of expert testers to release sycophantic GPT-4o The next British boom could be in the offing – if Starmer abandons net zero Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’ LISTEN: Indeed by CruzaSee omnystudio.com/listener for privacy information.

Explains language models (LLMs) advancements. Scaling laws - the relationships among model size, data size, and compute - and how emergent abilities such as in-context learning, multi-step reasoning, and instruction following arise once certain scaling thresholds are crossed. The evolution of the transformer architecture with Mixture of Experts (MoE), describes the three-phase training process culminating in Reinforcement Learning from Human Feedback (RLHF) for model alignment, and explores advanced reasoning techniques such as chain-of-thought prompting which significantly improve complex task performance. Links Notes and resources at ocdevel.com/mlg/mlg34 Build the future of multi-agent software with AGNTCY Try a walking desk stay healthy & sharp while you learn & code Transformer Foundations and Scaling Laws Transformers: Introduced by the 2017 "Attention is All You Need" paper, transformers allow for parallel training and inference of sequences using self-attention, in contrast to the sequential nature of RNNs. Scaling Laws: Empirical research revealed that LLM performance improves predictably as model size (parameters), data size (training tokens), and compute are increased together, with diminishing returns if only one variable is scaled disproportionately. The "Chinchilla scaling law" (DeepMind, 2022) established the optimal model/data/compute ratio for efficient model performance: earlier large models like GPT-3 were undertrained relative to their size, whereas right-sized models with more training data (e.g., Chinchilla, LLaMA series) proved more compute and inference efficient. Emergent Abilities in LLMs Emergence: When trained beyond a certain scale, LLMs display abilities not present in smaller models, including: In-Context Learning (ICL): Performing new tasks based solely on prompt examples at inference time. Instruction Following: Executing natural language tasks not seen during training. Multi-Step Reasoning & Chain of Thought (CoT): Solving arithmetic, logic, or symbolic reasoning by generating intermediate reasoning steps. Discontinuity & Debate: These abilities appear abruptly in larger models, though recent research suggests that this could result from non-linearities in evaluation metrics rather than innate model properties. Architectural Evolutions: Mixture of Experts (MoE) MoE Layers: Modern LLMs often replace standard feed-forward layers with MoE structures. Composed of many independent "expert" networks specializing in different subdomains or latent structures. A gating network routes tokens to the most relevant experts per input, activating only a subset of parameters—this is called "sparse activation." Enables much larger overall models without proportional increases in compute per inference, but requires the entire model in memory and introduces new challenges like load balancing and communication overhead. Specialization & Efficiency: Experts learn different data/knowledge types, boosting model specialization and throughput, though care is needed to avoid overfitting and underutilization of specialists. The Three-Phase Training Process 1. Unsupervised Pre-Training: Next-token prediction on massive datasets—builds a foundation model capturing general language patterns. 2. Supervised Fine Tuning (SFT): Training on labeled prompt-response pairs to teach the model how to perform specific tasks (e.g., question answering, summarization, code generation). Overfitting and "catastrophic forgetting" are risks if not carefully managed. 3. Reinforcement Learning from Human Feedback (RLHF): Collects human preference data by generating multiple responses to prompts and then having annotators rank them. Builds a reward model (often PPO) based on these rankings, then updates the LLM to maximize alignment with human preferences (helpfulness, harmlessness, truthfulness). Introduces complexity and risk of reward hacking (specification gaming), where the model may exploit the reward system in unanticipated ways. Advanced Reasoning Techniques Prompt Engineering: The art/science of crafting prompts that elicit better model responses, shown to dramatically affect model output quality. Chain of Thought (CoT) Prompting: Guides models to elaborate step-by-step reasoning before arriving at final answers—demonstrably improves results on complex tasks. Variants include zero-shot CoT ("let's think step by step"), few-shot CoT with worked examples, self-consistency (voting among multiple reasoning chains), and Tree of Thought (explores multiple reasoning branches in parallel). Automated Reasoning Optimization: Frontier models selectively apply these advanced reasoning techniques, balancing compute costs with gains in accuracy and transparency. Optimization for Training and Inference Tradeoffs: The optimal balance between model size, data, and compute is determined not only for pretraining but also for inference efficiency, as lifetime inference costs may exceed initial training costs. Current Trends: Efficient scaling, model specialization (MoE), careful fine-tuning, RLHF alignment, and automated reasoning techniques define state-of-the-art LLM development.

5/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) 1956 https://www.amazon.com/Valley-Microsoft-Trillion-Dollar-Artificial-Intelligence/dp/0063347490 Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI's moment finally arrived? In AI Valley, Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment. That includes LinkedIn founder Reid Hoffman, the legendary investor whom the Wall Street Journal once called, “the most connected person in Silicon Valley.” Through Hoffman, Rivlin is granted access to a number of companies on the cutting-edge of AI research, such as Inflection AI, the company Hoffman cofounded in 2022, and OpenAI, the San Francisco-based startup that sparked it all with its release at the end of that year of ChatGPT. In addition to Hoffman, Rivlin introduces us to other AI experts, including OpenAI cofounder Sam Altman and Mustafa Suleyman, the co-founder of DeepMind, an early AI startup that Google bought for $650  million in 2014. Rivlin also brings readers inside Microsoft, Meta, Google and other tech giants scrambling to keep pace. On this vast frontier, no one knows which of these companies will hit it big–or which will flame out spectacularly. In this riveting narrative marbled with familiar names such as Musk, Zuckerberg, and Gates, Rivlin chronicles breakthroughs as they happen, giving us a deep understanding of what's around the corner in AI development. An adventure story full of drama and unforgettable personalities, AI Valley promises to be the definitive story for anyone seeking to understand the latest phase of world-changing discoveries and the minds behind them.

GOOD EVENING: THE SHOW BEGN ON THE ROAD TO INDIANA WITH COLLEAGUE JIM MCTAGUE,,, 1942 LANCASTER CITY, PA CBS EYE ON THE WORLD WITH JOHN BATCHELOR FIRST HOUR 9-915  LANCASTER COUNTY REPORT: ON THE ROAD TO VALPARAISO, IN.  JIM MCTAGUE, FORMER WASHINGTON EDITOR, BARRONS. @MCTAGUEJ.  AUTHOR OF THE "MARTIN AND TWYLA BOUNDARY SERIES."  #FRIENDSOFHISTORYDEBATINGSOCIETY 915-930 #PACIFICWATCH: #VEGASREPORT: LIGHT RAIL FOR 3 MILLION POPULATION.  @JCBLISS 930-945 #DOGE:DOWN TO SIZE. RICHARD EPSTEIN, CIVITAS INSTITUTE. 945-1000 PRC:TARIFFS ARE LOSS. RICHARD EPSTEIN, CIVITAS INSTITUTE. SECOND HOUR 10-1015 #NUKES ARMS RACE: IRAN, SAUDI ARABIA, INDIA, PAKISTAN. HENRY SOKOLSKI, NPEC. 1015-1030 PRC: WHEN CHINA ATTACKS AND WHY?. GRANT NEWSHAM, AUTHOR 1030-1045 1/2: #NATURAL LAW: AND GOD, LIBERALISM, PATRIOTISM.  SAMUEL GREGG, CIVITAS INSTITUTE. 1045-1100 2/2: #NATURAL LAW: AND GOD, LIBERALISM, PATRIOTISM.  SAMUEL GREGG, CIVITAS INSTITUTE. THIRD HOUR 1100-1115 5/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) https://www.amazon.com/Valley-Microsoft-Trillion-Dollar-Artificial-Intelligence/dp/0063347490 Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI's moment finally arrived? In AI Valley, Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment. That includes LinkedIn founder Reid Hoffman, the legendary investor whom the Wall Street Journal once called, “the most connected person in Silicon Valley.” Through Hoffman, Rivlin is granted access to a number of companies on the cutting-edge of AI research, such as Inflection AI, the company Hoffman cofounded in 2022, and OpenAI, the San Francisco-based startup that sparked it all with its release at the end of that year of ChatGPT. In addition to Hoffman, Rivlin introduces us to other AI experts, including OpenAI cofounder Sam Altman and Mustafa Suleyman, the co-founder of DeepMind, an early AI startup that Google bought for $650  million in 2014. Rivlin also brings readers inside Microsoft, Meta, Google and other tech giants scrambling to keep pace. On this vast frontier, no one knows which of these companies will hit it big–or which will flame out spectacularly. In this riveting narrative marbled with familiar names such as Musk, Zuckerberg, and Gates, Rivlin chronicles breakthroughs as they happen, giving us a deep understanding of what's around the corner in AI development. An adventure story full of drama and unforgettable personalities, AI Valley promises to be the definitive story for anyone seeking to understand the latest phase of world-changing discoveries and the minds behind them. 1115-1130 6M/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) 1130-1145 7/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) 1145-1200 8/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) FOURTH HOUR 12-1215 #RUSSIA: PRICE OF OIL AND THE WAR. MICHAEL BERNSTAM, HOOVER 1215-1230 #ITALY:FIVE KILOMETERS PROCESSION FOR FRANCIS IN ROME. LORENZO FIORI. 1230-1245 PECL DELAYS MOON AND MARS AMBITIONS. BOB ZIMMERMAN BEHINDTHEBLACK.COM 1245-100 AM MARS: CURIOSITY WHEELS. BOB ZIMMERMAN BEHINDTHEBLACK.COM

Welcome to this classic episode. Classics are my favorite episodes from the past 10 years, published once a month. These are N of 1 conversations with N of 1 people. There aren't many people like Cyan Banister. Her life story is remarkable. She was homeless at a young age, dropped out of high school, and five years ago she suffered an extremely rare stroke. Yet, in spite of everything, she is one of the most optimistic and curious people you can hope to meet. Cyan is also one of the great angel investors of this era, having invested early in SpaceX, Uber, Postmates, and Deepmind to name a few winners. She became the first female investing partner at Peter Thiel's Founders Fund and now invests at Long Journey Ventures. Our conversation is as much about investing as it is about the essence of life and how connecting with that will help us in our professional pursuits. It is also full of awesome stories about people and companies like SpaceX and Bill Murray. Please enjoy this great conversation with Cyan Banister. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- Invest Like the Best is a property of Colossus, LLC. For more episodes of Invest Like the Best, visit joincolossus.com/episodes.  Past guests include Tobi Lutke, Kevin Systrom, Mike Krieger, John Collison, Kat Cole, Marc Andreessen, Matthew Ball, Bill Gurley, Anu Hariharan, Ben Thompson, and many more. Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. Follow us on Twitter: @patrick_oshag | @JoinColossus Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: [00:00:00] Welcome to Invest Like the Best [00:04:06] Contrarian Thinking in Investing [00:05:30] Joining Founders Fund and Learning from Peter Thiel [00:11:15] Investing in Companies that Change Lives [00:14:00] The Importance of Overcoming Adversity for Founders [00:16:02] Personal Journey and Choosing Hope [00:20:56] Embracing Curiosity and Wonder in the Face of Adversity [00:21:20] Reconnecting with Our Inner Child [00:24:46] The Interruption and Resumption of the Conversation [00:27:20] The Power of Intuition in Business Decisions [00:32:28] The Story Behind the Investment in Uber [00:38:46] Conclusion: Following the White Rabbit of Curiosity [00:39:08] Investing in Uber: The Beginning [00:41:50] The Impact of Success: Personal Wealth and Privacy [00:50:22] The Intersection of Spirituality and Investing [00:59:34] The Bill Murray Experience: A Lesson in Presence [01:09:54] The Violin Kid: A Tale of Curiosity and Generosity [01:12:43] The Evolution of Investing: A Personal Journey [01:16:34] The Philosophy of Giving: The Universe's Return [01:17:36] The Spirit of a Venture Firm: Founders Fund [01:23:09] The Power of Integral Family Systems [01:28:41] The Trillion Dollar Question: Disrupting Hollywood [01:36:05] The Future of Artistry: AI and Creativity [01:41:39] The Power of Kindness

Google says we're not ready for AGI and honestly, they might be right. DeepMind's Demis Hassabis warns we could be just five years away from artificial general intelligence, and society isn't prepared. Um, yikes? VISIT OUR SPONSOR https://molku.ai/ In this episode, we break down Google's new “Era of Experience” paper and what it means for how AIs will learn from the real world. We talk agentic systems, long-term memory, and why this shift might be the key to creating truly intelligent machines. Plus, a real AI vending machine running on Claude, a half-marathon of robots in Beijing, and Cluely, the tool that lets you lie better with AI.  We also cover new AI video tools from Minimax and Character.AI, Runway's 48-hour film contest, and Dia, the open-source voice model that can scream and cough better than most humans. Plus: AI Logan Paul, AI marketing scams, and one very cursed Shrek feet idea. AGI IS ALMOST HERE BUT THE ROBOTS, THEY STILL RUN.   #ai #ainews #agi Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Demis Hassabis on 60 Minutes https://www.cbsnews.com/news/artificial-intelligence-google-deepmind-ceo-demis-hassabis-60-minutes-transcript/ We're Not Ready For AGI From Time Interview with Hasabis https://x.com/vitrupo/status/1915006240134234608 Google Deepmind's “Era of Experience” Paper https://storage.googleapis.com/deepmind-media/Era-of-Experience%20/The%20Era%20of%20Experience%20Paper.pdf ChatGPT Explainer of Era of Expereince https://chatgpt.com/share/680918d5-cde4-8003-8cf4-fb1740a56222 Podcast with David Silver, VP Reinforcement Learning GoogleDeepmind https://x.com/GoogleDeepMind/status/1910363683215008227 Intuicell Robot Learning on it's own  https://youtu.be/CBqBTEYSEmA?si=U51P_R49Mv6cp6Zv Agentic AI “Moore's Law” Chart https://theaidigest.org/time-horizons AI Movies Can Win Oscars https://www.nytimes.com/2025/04/21/business/oscars-rules-ai.html?unlocked_article_code=1.B08.E7es.8Qnj7MeFBLwQ&smid=url-share Runway CEO on Oscars + AI  https://x.com/c_valenzuelab/status/1914694666642956345 Gen48 Film Contest This Weekend - Friday 12p EST deadline https://x.com/runwayml/status/1915028383336931346 Descript AI Editor  https://x.com/andrewmason/status/1914705701357937140 Character AI's New Lipsync / Video Tool https://x.com/character_ai/status/1914728332916384062 Hailuo Character Reference Tool https://x.com/Hailuo_AI/status/1914845649704772043 Dia Open Source Voice Model https://x.com/_doyeob_/status/1914464970764628033 Dia on Hugging Face https://huggingface.co/nari-labs/Dia-1.6B Cluely: New Start-up From Student Who Was Caught Cheating on Tech Interviews https://x.com/im_roy_lee/status/1914061483149001132 AI Agent Writes Reddit Comments Looking To “Convert” https://x.com/SavannahFeder/status/1914704498485842297 Deepfake Logan Paul AI Ad https://x.com/apollonator3000/status/1914658502519202259 The Humanoid Half-Marathon https://apnews.com/article/china-robot-half-marathon-153c6823bd628625106ed26267874d21 Video From Reddit of Robot Marathon https://www.reddit.com/r/singularity/comments/1k2mzyu/the_humanoid_robot_halfmarathon_in_beijing_today/ Vending Bench (AI Agents Run Vending Machines) https://andonlabs.com/evals/vending-bench Turning Kids Drawings Into AI Video https://x.com/venturetwins/status/1914382708152910263 Geriatric Meltdown https://www.reddit.com/r/aivideo/comments/1k3q62k/geriatric_meltdown_2000/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button  

Bird flu, which has long been an emerging threat, took a significant turn in 2024 with the discovery that the virus had jumped from a wild bird to a cow. In just over a year, the pathogen has spread through dairy herds and poultry flocks across the United States. It has also infected people, resulting in 70 confirmed cases, including one fatality. Correspondent Bill Whitaker spoke with veterinarians and virologists who warn that, if unchecked, this outbreak could lead to a new pandemic. They also raise concerns about the Biden administration's slow response in 2024 and now the Trump administration's decision to lay off over 100 key scientists. Demis Hassabis, a pioneer in artificial intelligence, is shaping the future of humanity. As the CEO of Google DeepMind, he was first interviewed by correspondent Scott Pelley in 2023, during a time when chatbots marked the beginning of a new technological era. Since that interview, Hassabis has made headlines for his innovative work, including using an AI model to predict the structure of proteins, which earned him a Nobel Prize. Pelley returns to DeepMind's headquarters in London to discuss what's next for Hassabis, particularly his leadership in the effort to develop artificial general intelligence (AGI) – a type of AI that has the potential to match the versatility and creativity of the human brain.  One of the most awe-inspiring and mysterious migrations in the natural world is currently taking place, stretching from Mexico to the United States and Canada. This incredible spectacle involves millions of monarch butterflies embarking on a monumental aerial journey. Correspondent Anderson Cooper reports from the mountains of Mexico, where the monarchs spent the winter months sheltering in trees before emerging from their slumber to take flight. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Interview with Nikita Roy Linda McMahon just handed A.1. steak sauce an unbelievable opportunity When is 4.1 greater than 4.5? When it's OpenAI's newest model. Google DeepMind Is Hiring a 'Post-AGI' Research Scientist Why do AI company logos look like buttholes? The Dark Power of Fraternities Monkey.zip High levels of toxic chemicals found in paper receipts used by US retailers A weird phrase is plaguing scientific papers – and we traced it back to a glitch in AI training data DolphinGemma: How Google AI is helping decode dolphin communication 'She helps cheer me up': the people forming relationships with AI chatbots A meta-analysis of technology use and cognitive aging Meta CEO Zuckerberg considered spinning off Instagram in 2018 over antitrust worries, email says OpenAI's new o3 and o4-mini models are all about 'thinking with images' Boarding passes and checkin to be scrapped Pickled Popeyes A new season of Game Changer Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nikita Roy Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: spaceship.com/twit monarchmoney.com with code IM

How can AI help us understand and master deeply complex systems—from the game Go, which has 10 to the power 170 possible positions a player could pursue, or proteins, which, on average, can fold in 10 to the power 300 possible ways? This week, Reid and Aria are joined by Demis Hassabis. Demis is a British artificial intelligence researcher, co-founder, and CEO of the AI company, DeepMind. Under his leadership, DeepMind developed Alpha Go, the first AI to defeat a human world champion in Go and later created AlphaFold, which solved the 50-year-old protein folding problem. He's considered one of the most influential figures in AI. Demis, Reid, and Aria discuss game theory, medicine, multimodality, and the nature of innovation and creativity. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/  Listen to more from Possible here. Learn more about your ad choices. Visit podcastchoices.com/adchoices