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10 slides18:31EN
AI Engineer· Oct 25, 2026Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.AI in financeBenchmarksEvals+2
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· Jul 30, 2026PodcastA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can WinHost Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.Security & safetyAI securitySafety & governance+3
1:10:15EN
Sequoia Capital· Jun 30, 2026PodcastThe 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.Infrastructure & deploymentInferenceBenchmarks+3
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No Priors: AI, Machine Learning, Tech, & Startups· Jun 26, 2026Podcast · 2 speakersThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsHost Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.Evals & observabilityEvalsBenchmarks+3
1:44:28EN
Cognitive 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.Security & safetySafety & governanceAgent engineering+3
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· Apr 26, 2026PodcastA thousand searches for five cents, and a high score that did not require cheatingHost Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.Enterprise & strategyRetrieval-augmented generationSearch & retrieval+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· Apr 4, 2026PodcastFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionHost Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.Multimodal & mediaMultimodal AIVision & video+3
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· Feb 25, 2026Podcast260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIHost Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.Enterprise & strategyAI in healthcareEvals+3
1:58:48EN
Cognitive Revolution "How AI Changes Everything"· Dec 18, 2025PodcastARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AIHost Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.Enterprise & strategyBenchmarksAGI+3
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Unsupervised Learning: With Jacob Effron· Dec 15, 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitHost Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.Evals & observabilityRL environments & simulatorsData quality & curation+3
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· Dec 3, 2025PodcastHours after training ends, Z.ai puts the weights on the internetHost Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.Enterprise & strategyOpen-source ecosystemsOpen-weight models+3
1:04:50EN
Cognitive 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.AI in EducationSafety & governanceReward hacking+3
1:39:05EN
Cognitive Revolution "How AI Changes Everything"· Oct 29, 2025PodcastThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has StalledHost Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.Enterprise & strategyScaling LawsReasoning & test-time compute+3
30:11EN
Sequoia Capital· Jul 30, 2025PodcastFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.Models & trainingReasoning & test-time computeBenchmarks+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· Jul 24, 2025Podcast · 2 speakersA Hundred People, a Billion in Revenue, and Zero Venture MoneyHost Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.Evals & observabilityData quality & curationHuman-in-the-loop validation+3
1:25:32EN
Cognitive Revolution "How AI Changes Everything"· Jul 2, 2025Podcasto3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI VillageHost Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.AgentsMulti-agent systemsAgent memory+3
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Unsupervised Learning: With Jacob Effron· Jun 17, 2025PodcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Host Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.Evals & observabilityEvalsBenchmarks+3
47:00EN
Unsupervised Learning: With Jacob Effron· May 8, 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeHost Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.Models & trainingEvalsPost-training+3
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Sequoia Capital· Apr 15, 2025PodcastPatrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.Models & trainingAI for sciencePretraining & midtraining+3
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Cognitive 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.Security & safetySafety & governanceEvals+3
57:11EN
Unsupervised Learning: With Jacob Effron· Jan 30, 2025PodcastA Million Tokens Cannot Write a Good JokeHost Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.Evals & observabilityEvalsBenchmarks+3
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· Jan 25, 2025PodcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableHost 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.Models & trainingReinforcement LearningReasoning & test-time compute+3
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· Jan 7, 2025Podcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToeHost 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.Models & trainingReasoning & test-time computeBenchmarks+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· Jan 3, 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oHost Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.Multimodal & mediaMultimodal AIVision & video+3
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