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2:00:51EN
Cognitive Revolution "How AI Changes Everything"· Oct 10, 2026PodcastResample Every Token and You Can Watch the Model DecideHost Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.
1:30:54ENCognitive Revolution "How AI Changes Everything"· Oct 3, 2026PodcastHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2Host Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
2:13:27ENCognitive Revolution "How AI Changes Everything"· Sep 29, 2026PodcastHe Wrote a Book to Stop the AI Race — Then Almost Got Addicted to ClaudeHost Nathan LabenzJournalist Garrison Lovely takes the AGI labs at their word, rejects the bubble story, and argues for freezing the frontier until the public actually consents.
27:29EN
Theo - t3․gg· Sep 27, 2026What Pacing the AI Frontier Could Mean for Model ReleasesTheo Browne · T3Theo argues that releasing more reliable and affordable models can be compatible with slowing the advance of the most dangerous capabilities.
51:55EN
3Blue1Brown· Sep 18, 2026The last IMO problem AI could not solveGrant Sanderson · 3Blue1BrownGrant Sanderson walks through IMO 2025 Problem 6 — a tiling puzzle that frontier models missed — and the visual patience it takes to prove a construction is optimal.
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Matthew Berman· Sep 13, 2026The Navier–Stokes Problem and OpenAI’s Claimed SolutionMatthew Berman · Forward FutureMatthew Berman uses a swirling fluid visualization to introduce a million-dollar mathematical problem and OpenAI’s September 2026 announcement.
0:58ENMatthew Berman· Sep 11, 2026A Simulated Fruit Fly in Driving and Game DemosMatthew Berman · Forward FutureMatthew Berman shows virtual scenes of a fruit fly driving and playing games, then speculates about future brain simulations.
32:54ENMatthew Berman· Sep 10, 2026Matthew Berman on AI Self-Improvement, Safety Warnings and His Uneasy OptimismMatthew Berman · Forward FutureA September 2026 commentary on accelerating AI research, an Anthropic resignation and the challenge of governing increasingly capable systems, with important corrections to the mathematics and benchmarks discussed.
13:32ENMatthew Berman· Sep 9, 2026OpenAI’s Navier–Stokes Proof Claim, Research Credit, and the Future of AIMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s claim that AI agents produced a proof, a dispute over related research and data use, and what the episode might mean for AI-driven discovery.
2:10:42ENCognitive Revolution "How AI Changes Everything"· Aug 28, 2026PodcastThe Exam Papers Nobody AuditsHost Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.
0:59ENMatthew Berman· Aug 28, 2026A Laser Device Aims to Target MosquitoesMatthew Berman · Forward FutureMatthew Berman describes a proposed laser-based mosquito defense and the capabilities claimed in a short promotional video.
2:13:09ENCognitive Revolution "How AI Changes Everything"· Aug 26, 2026PodcastOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a DrugHost Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.
0:55ENMatthew Berman· Aug 25, 2026AGI, Recursive Self-Improvement and SuperintelligenceMatthew Berman · Forward FutureMatthew Berman introduces three AI terms and explains his expectations about their possible progression.
2:16:29ENCognitive Revolution "How AI Changes Everything"· Aug 2, 2026PodcastFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI SafetyHost Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.
32:18ENTheo - t3․gg· Aug 1, 2026Pacing the AI Frontier: Theo on Safety, Competition and CoordinationTheo Browne · Ping LabsA statement from AI-company employees asks for tools to coordinate the pace of automated AI development. Theo explores its risks and the difficulty of international agreement.
50:57EN
Unsupervised Learning: With Jacob Effron· Jul 9, 2026PodcastA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberHost Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.
25:34ENMatthew Berman· Jul 8, 2026Anthropic’s J-Space Research: What Its Experiments Reveal and What Remains UnknownMatthew Berman · Forward FutureMatthew Berman examines experiments on internal representations in Claude, from causal interventions to safety auditing and the limits of consciousness claims.
1:57:46ENCognitive Revolution "How AI Changes Everything"· Jun 27, 2026Podcast30% Consciousness, 47% Bee, 80% Turnover: Putting Numbers on What AI Is BecomingHost Nathan LabenzA Cognitive Revolution weekly cut that starts inside the model with Cameron Berg, then zooms out through gradual disempowerment, Europe’s bind, and the companies rebuilding around agents.
1:44:28ENCognitive Revolution "How AI Changes Everything"· Jun 13, 2026PodcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overHost Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.
44:57ENTheo - t3․gg· Jun 8, 2026Theo 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.
1:22:36ENCognitive Revolution "How AI Changes Everything"· Jun 6, 2026PodcastA 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.
44:52ENMatthew Berman· Jun 5, 2026Anthropic’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.
1:31:56ENMatthew Berman· Jun 4, 2026When 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.
1:13:33ENUnsupervised Learning: With Jacob Effron· Jun 3, 2026PodcastA 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.Load moreShowing 24 of 220