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2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 10. Okt. 2026PodcastResample Every Token and You Can Watch the Model DecideModeration: Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.AgentenPrompting & in-context learningReasoning & test-time compute+3
1:34:29EN
Cognitive Revolution "How AI Changes Everything"· 18. Feb. 2026PodcastThree IMO Golds Missed the Same Problem. Harmonic Wants Math to CompileModeration: 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.Modelle & TrainingReasoning & test-time computeAI research+3
1:39:05EN
Cognitive Revolution "How AI Changes Everything"· 29. Okt. 2025PodcastThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has StalledModeration: Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.Unternehmen & StrategieScaling LawsReasoning & test-time compute+3
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 5. Apr. 2025PodcastThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGIModeration: 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.Modelle & TrainingReasoning & test-time computeReinforcement Learning+3
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· 20. Feb. 2025Podcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesModeration: Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.SicherheitSicherheit & GovernanceEvals+3
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 25. Jan. 2025PodcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableModeration: 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.Modelle & TrainingReinforcement LearningReasoning & test-time compute+3
1:33:01EN
Cognitive Revolution "How AI Changes Everything"· 15. Jan. 2025PodcastRare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already MissedModeration: Nathan LabenzDr. Catherine Brownstein of Boston Children's Hospital explains why cheap genomes made her job harder, why data sharing still beats any model, and where ChatGPT Pro actually gives her hours back.AI in healthcareReasoning & test-time computePrompting & in-context learning+3
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 7. Jan. 2025Podcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToeModeration: Nathan LabenzNathan Labenz walks through OpenAI's o3 scores, deliberative alignment, and why 2024's biggest surprise was beating PhDs while failing to book a calendar invite.Modelle & TrainingReasoning & test-time computeBenchmarks+3
1:56:03EN
Cognitive Revolution "How AI Changes Everything"· 13. Juli 2024PodcastHumans Near a Perfect Score. The Best AI Still Gets 39%Moderation: Nathan LabenzZapier co-founder Mike Knoop and François Chollet put $1 million on ARC-AGI, a 2019 test of sample-efficient intelligence that language models still cannot crack under a one-cent-per-puzzle budget.Evals & ObservabilityAGIBenchmarks+3
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2. Dez. 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Moderation: Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.AgentenAgent EngineeringReasoning & test-time compute+3
2:00:19EN
Cognitive Revolution "How AI Changes Everything"· 6. Juni 2023Podcast1.5 Million GPT-4 Fairy Tales Let a 33-Million-Parameter Model Out-Reason GPT-2Moderation: Nathan LabenzTry this fill-in: Lily likes cats and dogs. She asked her mom for a dog. Mom said no, so she asked for a…Modelle & TrainingSynthetic dataData quality & curation+3
1:45:49EN
Cognitive Revolution "How AI Changes Everything"PodcastTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the CompanyModeration: Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.AgentenWorld modelsReasoning & test-time compute+3
58:57EN
Cognitive Revolution "How AI Changes Everything"PodcastWhen the Model Learns to Look Around: Apollo Research on Testing o1 for SchemingModeration: Nathan LabenzApollo Research founder Marius Hobbhahn explains how his team probed OpenAI's o1 for deception, what it found, and why the trajectory worries him more than the model itself.SicherheitAI securitySicherheit & Governance+3
1:03:10EN
Cognitive Revolution "How AI Changes Everything"PodcastPause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next UpgradesModeration: Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.Modelle & TrainingTransformers & attentionML-Grundlagen+3