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0:57ENSundar Pichai on Preparing for AI in Knowledge WorkMatthew Berman, Sundar Pichai · Forward FutureIn a short interview clip, Google's CEO suggests learning to use AI as an everyday assistant while work changes.
1:32:16ZH王忻谈奔驰中国研发:在转型中重划豪华与安全게스트 王忻 · 진행자 张小珺奔驰中国研发负责人王忻回顾中国汽车产业二十年的技术周期,也讲述中国团队如何从测试支持走向产品研发。面对智能化竞争,他认为速度、数据和本地化必须建立在安全与用户体验之上。
20:00ENSam Altman on Meta’s Hiring, GPT-5 and the Future of AIMatthew Berman, Sam Altman, Jack Altman, Andrew Mayne · Forward FutureMatthew Berman examines 2025 interview clips in which OpenAI’s CEO discusses competition for researchers, scientific discovery, robots and new AI hardware. His claims and forecasts are presented in their historical context.
1:37:05ENAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a Lie진행자 Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.
1:09:30ENChime’s IPO, Scale AI’s Deal and the Return of Public-Market Liquidity게스트 Rory O’Driscoll, Jason Lemkin, Garrett · 진행자 Harry StebbingsHarry Stebbings, Rory O’Driscoll, Jason Lemkin and Garrett from Handshake discuss AI suppliers, venture exits and the IPO market in June 2025.
0:49ENSundar Pichai on AI Glasses and Project Astra’s MemorySundar Pichai · GoogleGoogle’s CEO discusses why glasses fit everyday AI interaction and describes testing Astra’s memory of an object.
48:51ENThe Breakthroughs for AGI Are Already Done, Says OpenAI’s Former Research HeadBob McGrew tells Sequoia’s Training Data that 2025 is the year of reasoning, agents will be priced at the cost of compute, and nothing fundamental will be added to the stack by 2035.
54:53ENA Free Voting Board Burned $2 Million. Then It Raised $100 Million.진행자 Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.
45:21ENApplied Intuition Is Worth $15 Billion, Hasn't Spent Its Capital, and Wants to Be the OS for Cars and Tanks진행자 Sarah Guo, Elad GilOn No Priors, Qasar Younis and Peter Ludwig explain the Microsoft playbook for vehicles, why they waited for autonomy techniques to converge, and why Waymo's business model is the question that follows the demo.
1:47:28ENLarry Aschebrook on Spotify, Uber and the Hard Lessons of Venture Secondaries게스트 Larry Aschebrook · 진행자 Harry StebbingsThe G Squared founder recounts concentrated wins, expensive mistakes and the challenge of turning private-market marks into cash for investors.
0:54ENSatya Nadella on Separating Personal and Work AI AgentsMatthew Berman, Satya Nadella · Forward FutureIn an interview excerpt, Microsoft CEO Satya Nadella discusses identity boundaries and the risk of data leakage between personal and corporate agents.
38:48ENTask Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Charge진행자 Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.
3:14:34ENIf ten things make a problem hard, Terence Tao turns nine of them off게스트 Terence Tao · 진행자 Lex FridmanThe Fields Medalist walks Lex Fridman from the Kakeya needle and Navier-Stokes through Lean, Perelman, and why today's AI still cannot smell a dead-end proof.
1:22:59ENCircle’s IPO, Anduril’s Funding and the AI Budget Debate게스트 Rory O’Driscoll, Jason Lemkin · 진행자 Harry StebbingsHarry Stebbings, Rory O’Driscoll and Jason Lemkin discuss public listings, venture concentration and the outlook for software and Musk’s companies.
1:24:27EN500 Trillion Tokens a Month: How Google Grew 50x in a Year진행자 Nathan LabenzLogan Kilpatrick returns to Cognitive Revolution to unpack Google's mid-2023 merger, why he expects frontier labs to diverge, and why startups still hold the speed advantage.
41:25ENBen Mann thinks superintelligence by 2028 is quite possible진행자 Sarah Guo, Elad GilAnthropic's co-founder tells No Priors how Claude 4 unlocked hours of unattended agent work, why the lab built Claude Code, and what an economic Turing test would actually measure.
11:38ENAI News in June 2025: Magistral, Voice Models and Image GenerationMatthew Berman · Forward FutureMatthew Berman reviews Mistral’s reasoning models, voice and browser updates, reports on Meta and Scale AI, and FLUX.1 Kontext.
37:45ENCodex Is a Thought Experiment: What If the Agent Worked on Its Own Computer?OpenAI’s Codex team on training o3 to write mergeable PRs, running four copies of a 1 a.m. bug, and why the product only clicks once you stop pairing and start delegating.
11:24ENRunner H and Surfer-H: A Browser Agent and Its Holo1 ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates H Company’s browser agent and reviews its research on visual navigation. The paper’s benchmark configuration and the demo’s missing links show why results need context.
0:59ENSatya Nadella on AI's Energy Use and Social PermissionMatthew Berman, Satya Nadella · Forward FutureIn a short interview excerpt, Microsoft's CEO argues that the technology industry must deliver broad benefits as its energy demand grows.
1:00:48ENThe Phrase That Alarms a16z’s AI Policy Chief: “It Only Covers a Handful of Companies”진행자 Nathan LabenzMatt Perault argues that AI rules should target harmful use, not the science of building models, and that “modest” thresholds can lock in an oligopoly.
22:05ENApple’s “Illusion of Thinking”: Puzzle Limits and a Code-Assisted TestMatthew Berman, Ilya Sutskever · Forward FutureMatthew Berman reviews Apple’s reasoning-model experiments and tests a different way to solve Tower of Hanoi using generated code.
1:16:43ENMicha Kaufman on AI, Work and Fiverr’s Next Chapter게스트 Micha Kaufman · 진행자 Harry StebbingsThe Fiverr CEO discusses adapting to AI, startup competition, creative work and the uncertainty facing leaders.
2:02:27ENShe set out to build mirror life. Then she talked the field into stopping진행자 Nathan LabenzUniversity of Minnesota geneticist Kate Adamala tells Nathan Labenz why every known organism shares one chemical alphabet — and why flipping that alphabet would be a branch of synthetic biology better left unexplored.
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