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1:22:36ENA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the BrakesModeration: 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 IntensityGast: Jason Lemkin, Rory O’Driscoll · Moderation: 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 EvalsModeration: 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.
0:47ENCognition's AI Productivity Guarantee for DevinMatthew Berman · Forward FutureMatthew Berman discusses a 2026 enterprise offer that compares estimated engineering value with the cost of using Devin.
2:59:44ENTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Moderation: 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 MissModeration: 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.
20:12ENAI, Jobs and the Gap Between Automation Hype and Business ValueMatthew Berman · Forward FutureMatthew Berman argues that adoption is slower and more complicated than feared, while discussing layoffs, AI costs and the work humans still do.
1:06ENRunning AI Agents in the Cloud Instead of on a LaptopMatthew Berman · Forward FutureMatthew Berman argues that cloud-hosted agents can keep working when a laptop sleeps or loses connectivity. The video is sponsored by DigitalOcean.
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.
56:10ENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardModeration: 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 WorkGast: Brendan Foody · Moderation: 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 guestsModeration: Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
56:55ENNico Laqua on Corgi’s Work Culture, Fundraising and AIGast: Nico Laqua · Moderation: 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.
2:22ENPioneer Agent and Automated Fine-Tuning of Small ModelsMatthew Berman · Forward FutureIn a Fastino-sponsored video, Matthew Berman describes a system that automates parts of model adaptation and discusses its reported benchmark results.
21:56ENMatthew Berman on Pope Leo XIV’s AI Encyclical and Anthropic’s RoleMatthew Berman, Chris Olah · Forward FutureA close reading of Magnifica humanitas raises questions about human dignity, AI companionship, concentrated power and who should govern AI.
2:53:42ENThe Moon Is Falling. It Just Keeps Missing.Gast: Biggest Mysteries in Physics · Moderation: 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.
1:27:44ENAI Spending, Layoffs and IPO Speculation: Jason Lemkin and Rory O’Driscoll on the Economics of AgentsGast: Jason Lemkin, Rory O’Driscoll · Moderation: Harry StebbingsA 20VC roundtable examines how businesses weigh AI tokens against human work, and how investors assess infrastructure startups amid uncertain valuations and reported IPO plans.
41:09ENAfter Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big OnesModeration: Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.
2:34:17ENMatthew Berman Tests Claude Opus 4.8 and Dynamic Workflows LiveMatthew Berman · Forward FutureA launch-day walkthrough compares Anthropic’s reported benchmarks with informal coding experiments and a multi-agent website redesign.
17:03ENDeepSWE: Testing Coding Agents on Longer Software TasksMatthew Berman · Forward FutureMatthew Berman reviews Datacurve’s benchmark, its verifier audit and the tradeoffs of comparing models under a shared harness.
1:41:58ENA thousand people on guard, a million in the sprintModeration: Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.
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