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15 件
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1:48:43EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月1日ポッドキャストThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.ホスト Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.モデルと学習Reinforcement LearningPost-training+3
3:36:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月23日ポッドキャストClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed Neutralホスト Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.安全性とガバナンスModel InterpretabilityAI research+3
2:31:27EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月15日ポッドキャストAn AI store manager, a 2.6-star rating, and a constitution nobody has to keepホスト Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.エージェント安全性とガバナンスReinforcement Learning+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月22日ポッドキャストTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-Readyホスト Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.コーディングエージェントReinforcement Learningエージェント工学+3
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月2日ポッドキャストChatGPT's Co-Creator Left to Put Nature in the Reward Loopホスト Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.モデルと学習AI for scienceReinforcement Learning+3
3:14:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月6日ポッドキャストNothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI Timelinesホスト Nathan LabenzOn his tenth visit to The Cognitive Revolution, Zvi Mowshowitz argues that GPT-5 and IMO gold stayed on trend, while chip policy, energy, and reinforcement learning nudged his p(doom) slightly up.セキュリティと安全性AGI Timelines安全性とガバナンス+3
38:10EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月16日ポッドキャストPlus Five for Format, Plus Ten if It Compilesホスト Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.モデルと学習ファインチューニングPost-training+3
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月5日ポッドキャストThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGIホスト Nathan LabenzDeepMind's thinking-and-inference lead explains why RL-for-reasoning felt sudden, why Gemini shows raw chain of thought, and why a million-token window still is not memory.モデルと学習Reasoning & test-time computeReinforcement Learning+3
1:56:38EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月8日ポッドキャストo3 took ARC from 20% to 87%. Nathan Labenz sketches early superintelligenceホスト Nathan LabenzOn Consistently Candid, the Cognitive Revolution host argues that math and coding will be superhuman by 2026, and that a reasoning core plus specialist “intuitive physics” may already be enough.モデルと学習Reinforcement LearningDistributed training & inference+3
2:16:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月5日ポッドキャストA 10B Model Trained Across Three Continents — and an H200 for $1.49 an Hourホスト Nathan LabenzPrime Intellect's founders lay out a four-step plan to turn spare global GPUs into collectively owned intelligence, and argue that reinforcement learning just made their job easier.インフラとデプロイDistributed training & inferenceAI cost & performance+3
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月25日ポッドキャストFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the Tableホスト Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.モデルと学習Reinforcement LearningReasoning & test-time compute+3
1:27:33EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月3日ポッドキャストA 70B Model Booked Dinner 20% of the Time. MultiOn Took It to 95% in a Dayホスト Nathan LabenzMultiOn CEO Div Garg returns to The Cognitive Revolution to recap 18 months of agent hype, the AgentQ stack, and why 2025 might still be the year of vertical agents.エージェントエージェント工学Computer use+3
52:45EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月13日ポッドキャストA $150 million model, $5 million six months later: Benchmark’s AI investment mathホスト Nathan LabenzEric Vishria and Quilter’s Sergiy Nesterenko explain why PCB layout is not a Copilot problem, why human board data would be the wrong training set, and which AI companies look like sugar highs.企業と戦略AI StrategyAI startups & small teams+3
56:56EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月25日ポッドキャストA Week of PCB Layout in an Hour: Quilter Trains Agents, Not Imitatorsホスト Nathan LabenzSpaceX alum Sergiy Nesterenko tells Will Summerlin how Quilter uses reinforcement learning to compile schematics into manufacturable boards, and why cloning human layouts would cap the system at human skill.企業と戦略Reinforcement LearningRL environments & simulators+3
1:58:43EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月7日ポッドキャストA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.ホスト Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.モデルと学習AI HistoryNeuroscience & AI+3