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スライド 10 枚18:31EN
AI Engineer· 2026年10月25日Janie 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.金融 AIBenchmarks評価(Evals)+2
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月30日ポッドキャストA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Winホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
1:10:15EN
Sequoia Capital· 2026年6月30日ポッドキャストThe 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.インフラとデプロイInferenceBenchmarks+3
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日ポッドキャスト · 2 人The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Modelsホスト 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.評価とオブザーバビリティ評価(Evals)Benchmarks+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月13日ポッドキャストFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overホスト 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.セキュリティと安全性安全性とガバナンスエージェント工学+3
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月26日ポッドキャストA thousand searches for five cents, and a high score that did not require cheatingホスト 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.企業と戦略検索拡張生成(RAG)Search & retrieval+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月4日ポッドキャストFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionホスト 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.マルチモーダルとメディアMultimodal AI画像と動画+3
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月25日ポッドキャスト260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIホスト 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.企業と戦略AI in healthcare評価(Evals)+3
1:58:48EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月18日ポッドキャストARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AIホスト 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.企業と戦略BenchmarksAGI(汎用人工知能)+3
48:00EN
Unsupervised Learning: With Jacob Effron· 2025年12月15日ポッドキャストA Two-Second Vote Is Training Models to Be Clickbaitホスト 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.評価とオブザーバビリティRL environments & simulatorsData quality & curation+3
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月3日ポッドキャストHours after training ends, Z.ai puts the weights on the internetホスト 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.企業と戦略Open-source ecosystemsOpen-weight models+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
1:39:05EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月29日ポッドキャストThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has Stalledホスト Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.企業と戦略Scaling LawsReasoning & test-time compute+3
30:11EN
Sequoia Capital· 2025年7月30日ポッドキャストFrom 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.モデルと学習Reasoning & test-time computeBenchmarks+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月24日ポッドキャスト · 2 人A Hundred People, a Billion in Revenue, and Zero Venture Moneyホスト 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.評価とオブザーバビリティData quality & curation人による検証(HITL)+3
1:25:32EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月2日ポッドキャストo3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI Villageホスト 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.エージェントMulti-agent systemsAgent memory+3
54:53EN
Unsupervised Learning: With Jacob Effron· 2025年6月17日ポッドキャストA Free Voting Board Burned $2 Million. Then It Raised $100 Million.ホスト 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.評価とオブザーバビリティ評価(Evals)Benchmarks+3
47:00EN
Unsupervised Learning: With Jacob Effron· 2025年5月8日ポッドキャストAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decadeホスト 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.モデルと学習評価(Evals)Post-training+3
58:11EN
Sequoia Capital· 2025年4月15日ポッドキャストPatrick 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.モデルと学習AI for sciencePretraining & midtraining+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
57:11EN
Unsupervised Learning: With Jacob Effron· 2025年1月30日ポッドキャストA Million Tokens Cannot Write a Good Jokeホスト 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.評価とオブザーバビリティ評価(Evals)Benchmarks+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
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月7日ポッドキャストo3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-Toeホスト 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.モデルと学習Reasoning & test-time computeBenchmarks+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月3日ポッドキャストWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oホスト Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.マルチモーダルとメディアMultimodal AI画像と動画+3
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