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59 件
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1:48:57EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月25日ポッドキャストAI Safety's Real Shortage Is Founders, Not Ideasホスト 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.セキュリティと安全性AI SafetyAI startups & small teams+3
1:19:28EN
20VC with Harry Stebbings· 2026年9月17日ポッドキャスト · 3 人AI Safety, Personal Agents and the Venture Market’s Uneven Exitsゲスト Jason Lemkin, Rory O’Driscoll · ホスト 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.AI SafetyAI agentsVenture Capital+2
1:22:31EN
20VC with Harry Stebbings· 2026年9月10日ポッドキャスト · 3 人AI Assistants, Enterprise Adoption and the Venture Market’s New Risksゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate personal agents, legal AI, autonomous vehicles and the economics of financing AI companies.AI agentsエンタープライズ AIAI Safety+2
1:20:22EN
20VC with Harry Stebbings· 2026年7月30日ポッドキャスト · 3 人20VC Roundtable on Open Weights, AI Spending and Software Investingゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI safety, chip investment, enterprise budgets and the future of software.Open-weight modelsAI SafetyInference+2
2:13:11EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月24日ポッドキャストThe Models Understand Shutdown. They Just Don't Care.ホスト Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.セキュリティと安全性安全性とガバナンスAI security+3
32:22EN
20VC with Harry Stebbings· 2026年4月7日ポッドキャスト · 2 人Demis Hassabis on AGI, Scientific Discovery and the Challenges Aheadゲスト Demis Hassabis · ホスト Harry StebbingsThe Google DeepMind CEO discusses compute, continual learning, safety standards and his hopes for AI in science, medicine and energy.AGI(汎用人工知能)AI researchAI Safety+2
3:27:22EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月19日ポッドキャストThe AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's Promisesホスト 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.企業と戦略AI StrategyAGI Timelines+3
1:49:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月5日ポッドキャストDon't Fight Backprop: Goodfire's Bet on Designing What Models Learnホスト 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.モデルと学習Model Interpretability安全性とガバナンス+3
1:34:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月18日ポッドキャストThree IMO Golds Missed the Same Problem. Harmonic Wants Math to Compileホスト 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.モデルと学習Reasoning & test-time computeAI research+3
1:04:50EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月25日ポッドキャストUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.ホスト 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.AI in Education安全性とガバナンスReward hacking+3
2:27:18EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月5日ポッドキャストTurn Down AI's Deception Knob, and It Starts Reporting Experienceホスト 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.セキュリティと安全性Model Interpretability安全性とガバナンス+3
1:14:39EN
20VC with Harry Stebbings· 2025年9月1日ポッドキャスト · 2 人Nick Frosst on Cohere’s Enterprise AI Strategy and the Limits of Hypeゲスト Nick Frosst · ホスト Harry StebbingsThe Cohere co-founder discusses data, benchmarks, workplace automation and why he challenges popular claims about AGI.Foundation Modelsエンタープライズ AIAI Strategy+2
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月27日ポッドキャストSAEs Find the Nouns. Parameter Decomposition Looks for the Verbsホスト 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.モデルと学習Model InterpretabilityAI research+3
1:51:24EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月20日ポッドキャストFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-Rampホスト 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.セキュリティと安全性安全性とガバナンスAI Regulation+3
1:16:25EN
20VC with Harry Stebbings· 2025年7月28日ポッドキャスト · 2 人Martin Casado on AI Models, Open Technology and Venture Competitionゲスト Martin Casado · ホスト Harry StebbingsThe Andreessen Horowitz partner discusses coding tools, open-model policy, labor disruption and how his firm evaluates investments.AI StrategyVenture CapitalOpen-weight models+2
2:14:55EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月26日ポッドキャストFrom Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI Governanceホスト 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.セキュリティと安全性安全性とガバナンスAI Regulation+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月22日ポッドキャストSB 813 Would Hand AI Safety Checks to Licensed Private Firms — If Government Can Watch the Watchersホスト 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.セキュリティと安全性AI Regulation安全性とガバナンス+3
47:07EN
Sequoia Capital· 2025年7月8日ポッドキャストGoodfire’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.評価とオブザーバビリティModel Interpretability安全性とガバナンス+3
1:37:05EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月19日ポッドキャストAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a Lieホスト 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.モデルと学習Model Interpretability機械学習の基礎+3
2:02:27EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月7日ポッドキャストShe set out to build mirror life. Then she talked the field into stoppingホスト 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.セキュリティと安全性Biosecurity安全性とガバナンス+3
1:44:11EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月20日ポッドキャスト100 deaths or $1 billion: a 15-page New York bill would set a floor for frontier labsホスト 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.セキュリティと安全性安全性とガバナンスAI security+3
2:29:00EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月4日ポッドキャストAssume the Model Is Already Scheming — Then Put It to Workホスト 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.セキュリティと安全性安全性とガバナンスAI security+3
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月20日ポッドキャスト5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its Valuesホスト Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.セキュリティと安全性安全性とガバナンス評価(Evals)+3
2:09:55EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月18日ポッドキャストThe Attacker Won All 70 Rounds Against Mind-Reading Defensesホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
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