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1:45:59EN87% of Workers Use AI. Only 13% Say the Company Got Better.Host Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.
41:20ENA $4 Million Cabinet and a Trillion-Dollar Year: Jensen Huang Turns the AI Factory Into a Manufacturing StoryOn Sequoia's Training Data stage, NVIDIA's CEO walks a sixty-country audience from ChatGPT's parlor tricks to agentic work, a five-layer industrial cake, and why radiology hiring went up.
1:48:47ENClaude Fable 5 Launch: Live Coding Tests, Costs and SafeguardsMatthew Berman · Forward FutureMatthew Berman reviews a week of early use, troubleshoots the launch-day rollout, and tests browser apps and open mathematical problems live.
44:57ENTheo on Anthropic’s Case for Preparing for AI Self-ImprovementTheoAn examination of internal productivity evidence, uncertain AI futures and the challenge of coordinating a pause.
1:14:30ENRoman Chernin on AI Compute Demand, Inference and InfrastructureGuest Roman Chernin · Host Harry StebbingsNebius’s co-founder discusses customer demand, GPU economics, managed inference and the risks of a concentrated market.
3:38:52ZH → EnglishYang Meng on Anker’s Next Chapter: From Power Banks to Edge AIGuest 阳萌 · Host 张小珺The Anker Innovations founder talks with Zhang Xiaojun about entrepreneurship, consumer-electronics strategy, hardware development and AI’s impact on organizations.
30:11ENWhat Cloudflare’s VoidZero Acquisition Could Mean for Vite and AI DeploymentTheoTheo examines the developer experience behind the deal and demonstrates his own unreleased cloud project.
57:42ENJacob Lauritzen on AI Engineering, Legal Work and Building LegoraGuest Jacob Lauritzen · Host Harry StebbingsLegora’s CTO discusses code review, token budgets, enterprise adoption and how legal workflows might change.
1:22:36ENA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the BrakesHost Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.
44:52ENAnthropic’s Recursive Self-Improvement Report: Evidence, Limits and a Debate Over Slowing AIMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s 2026 claims about AI-assisted development, research benchmarks and possible paths to autonomous self-improvement.
1:39:00EN20VC on AI Financing, Token Budgets and the Cost of Startup IntensityGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported listings, software valuations, AI spending and demanding work cultures.
1:31:56ENWhen AI Builds Itself: Anthropic’s Recursive Improvement Essay and Its LimitsMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s internal coding and research claims, questions its proposed slowdown, and considers what autonomous AI development could mean.
42:27ENEvery Company Can Operate at the Frontier — If It Owns the EvalsHost Sarah Guo, Elad GilAt Microsoft Build, Satya Nadella tells No Priors and Latent Space why AI is an ecosystem game, why private evals beat public benchmarks, and why the Azure networking team now asks for tokens instead of headcount.
2:59:44ENTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Host Nathan LabenzGoogle researcher Ali Behrouz tells Nathan Labenz how stacking update frequencies — not just layers — and an offline sleep phase could give language models genuine continual learning.
1:13:33ENA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissHost Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.
40:22ENBuilding Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.
38:50ENCan AI Help Less Experienced Engineers Grow?TheoTheo discusses coding assistants, team coordination and the difference between learning with AI and blindly relaying its output.
56:10ENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardHost Jacob EffronSebastian Mallaby's biography of Demis Hassabis, discussed with Jacob Effron, is a story of a founder who tried to stop the AI race and then became one of its central players.
1:14:12ENBrendan Foody on Mercor, AI Data and the Future of WorkGuest Brendan Foody · Host Harry StebbingsThe Mercor CEO discusses a security incident, data-provider economics, enterprise agents and the uncertain effects of AI on employment.
1:34:36ENNate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.
2:33:35ENA security researcher audits the AI stack that booked a week of guestsHost Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
32:30ENTheo Reviews DeepSWE and the Limits of Coding BenchmarksTheoAn investor in DataCurve examines its coding benchmark, the results shown in the video and their limitations.
56:55ENNico Laqua on Corgi’s Work Culture, Fundraising and AIGuest Nico Laqua · Host Harry StebbingsCorgi’s co-founder describes a seven-day work culture, the company’s cafe and equity practices, and his approach to investors and AI.
2:53:42ENThe Moon Is Falling. It Just Keeps Missing.Guest Biggest Mysteries in Physics · Host Lex FridmanFermilab physicist Don Lincoln tells Lex Fridman that the history of physics is a history of unification, and that antimatter, dark energy, and a theory of everything still sit far beyond the experiments we can run.
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