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1:48:57EN
Cognitive Revolution "How AI Changes Everything"· Sep 25, 2026PodcastAI Safety's Real Shortage Is Founders, Not IdeasHost Nathan LabenzHalcyon's Mike McCormick on launching about 30 AI safety, cyber, and biosecurity organizations in three years — and why experienced leaders, not more Google Docs, are the bottleneck.
1:19:28EN
20VC with Harry Stebbings· Sep 17, 2026Podcast · 3 speakersAI Safety, Personal Agents and the Venture Market’s Uneven ExitsGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate oversight of advanced AI, the economics of personal assistants and what a weaker software exit market means for investors.
1:22:31EN20VC with Harry Stebbings· Sep 10, 2026Podcast · 3 speakersAI Assistants, Enterprise Adoption and the Venture Market’s New RisksGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate personal agents, legal AI, autonomous vehicles and the economics of financing AI companies.
1:20:22EN20VC with Harry Stebbings· Jul 30, 2026Podcast · 3 speakers20VC Roundtable on Open Weights, AI Spending and Software InvestingGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI safety, chip investment, enterprise budgets and the future of software.
2:13:11ENCognitive Revolution "How AI Changes Everything"· May 24, 2026PodcastThe Models Understand Shutdown. They Just Don't Care.Host Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.
32:22EN20VC with Harry Stebbings· Apr 7, 2026Podcast · 2 speakersDemis Hassabis on AGI, Scientific Discovery and the Challenges AheadGuest Demis Hassabis · Host Harry StebbingsThe Google DeepMind CEO discusses compute, continual learning, safety standards and his hopes for AI in science, medicine and energy.
3:27:22ENCognitive Revolution "How AI Changes Everything"· Mar 19, 2026PodcastThe AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's PromisesHost Nathan LabenzOn his 12th Cognitive Revolution appearance, Zvi Mowshowitz argues early 2026 is the start of the middle — with only three labs still playing, a real job shock underway, and Anthropic's safety commitments reduced to trust us.
1:49:53ENCognitive Revolution "How AI Changes Everything"· Mar 5, 2026PodcastDon't Fight Backprop: Goodfire's Bet on Designing What Models LearnHost Nathan LabenzDan Balsam and Tom McGrath return to The Cognitive Revolution with a $150 million Series B, a new research pillar called intentional design, and a rule for anyone who wants to steer training: stop trying to out-muscle gradient descent.
1:34:29ENCognitive Revolution "How AI Changes Everything"· Feb 18, 2026PodcastThree IMO Golds Missed the Same Problem. Harmonic Wants Math to CompileHost Nathan LabenzVlad Tenev and Tudor Achim built Aristotle to emit Lean proofs a kernel can check—and they argue that is how mathematical superintelligence stays trustworthy.
1:04:50ENCognitive Revolution "How AI Changes Everything"· Nov 25, 2025PodcastUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.Host Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.
2:27:18ENCognitive Revolution "How AI Changes Everything"· Nov 5, 2025PodcastTurn Down AI's Deception Knob, and It Starts Reporting ExperienceHost Nathan LabenzCameron Berg of AE Studio tells Nathan Labenz how suppressing deception features in Llama 3.3 70B pushed self-reports of subjective experience toward 100 percent.
1:14:39EN20VC with Harry Stebbings· Sep 1, 2025Podcast · 2 speakersNick Frosst on Cohere’s Enterprise AI Strategy and the Limits of HypeGuest Nick Frosst · Host Harry StebbingsThe Cohere co-founder discusses data, benchmarks, workplace automation and why he challenges popular claims about AGI.
2:02:17ENCognitive Revolution "How AI Changes Everything"· Aug 27, 2025PodcastSAEs Find the Nouns. Parameter Decomposition Looks for the VerbsHost Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.
1:51:24ENCognitive Revolution "How AI Changes Everything"· Aug 20, 2025PodcastFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-RampHost Nathan LabenzKarl Koch of the AI Whistleblower Initiative on gray-zone fears, retaliation, and a Tor-based way to ask for help before you decide anything.
1:16:25EN20VC with Harry Stebbings· Jul 28, 2025Podcast · 2 speakersMartin Casado on AI Models, Open Technology and Venture CompetitionGuest Martin Casado · Host Harry StebbingsThe Andreessen Horowitz partner discusses coding tools, open-model policy, labor disruption and how his firm evaluates investments.
2:14:55ENCognitive Revolution "How AI Changes Everything"· Jul 26, 2025PodcastFrom Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI GovernanceHost Nathan LabenzA Touro law professor tells Nathan Labenz how negligence, strict liability, and punitive damages could make frontier labs treat public risk as a hit to their own balance sheet.
1:56:16ENCognitive Revolution "How AI Changes Everything"· Jul 22, 2025PodcastSB 813 Would Hand AI Safety Checks to Licensed Private Firms — If Government Can Watch the WatchersHost Nathan LabenzGillian Hadfield and Andrew Freedman want California to set AI safety outcomes, license competing certifiers, and give companies a rebuttable presumption in court if they pass.
47:07EN
Sequoia Capital· Jul 8, 2025PodcastGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.
1:37:05ENCognitive Revolution "How AI Changes Everything"· Jun 19, 2025PodcastAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a LieHost 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.
2:02:27ENCognitive Revolution "How AI Changes Everything"· Jun 7, 2025PodcastShe set out to build mirror life. Then she talked the field into stoppingHost 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.
1:44:11ENCognitive Revolution "How AI Changes Everything"· May 20, 2025Podcast100 deaths or $1 billion: a 15-page New York bill would set a floor for frontier labsHost Nathan LabenzAssembly member Alex Bores walks through the RAISE Act’s four requirements, its DeepSeek-inspired distillation clause, and why he says a 50-state patchwork is a fake problem until one state actually passes a law.
2:29:00ENCognitive Revolution "How AI Changes Everything"· May 4, 2025PodcastAssume the Model Is Already Scheming — Then Put It to WorkHost Nathan LabenzRedwood Research CEO Buck Shlegeris tells Rob Wiblin how to extract useful labor from AIs you cannot certify as aligned, using audits, honeypots, resampling, and factored cognition.
3:18:45ENCognitive Revolution "How AI Changes Everything"· Feb 20, 2025Podcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesHost Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.
2:09:55ENCognitive Revolution "How AI Changes Everything"· Jan 18, 2025PodcastThe Attacker Won All 70 Rounds Against Mind-Reading DefensesHost Nathan LabenzLuke Bailey, Erik Jenner, and Scott Emmons walk through a 50-page paper showing that probes, out-of-distribution detectors, and sparse autoencoders can be bypassed while the model still does the harm.Load moreShowing 24 of 63