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54:53EN
Unsupervised Learning: With Jacob Effron· 17 juin 2025PodcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Anime : 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.Évaluations et observabilitéÉvaluationsBenchmarks+3
5 diapositives11:24EN
Matthew Berman· 10 juin 2025Runner H and Surfer-H: A Browser Agent and Its Holo1 ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates H Company’s browser agent and reviews its research on visual navigation. The paper’s benchmark configuration and the demo’s missing links show why results need context.Computer useAI agentsOpen-weight models+1
9 diapositives22:05EN
Matthew Berman· 9 juin 2025Apple’s “Illusion of Thinking”: Puzzle Limits and a Code-Assisted TestMatthew Berman, Ilya Sutskever · Forward FutureMatthew Berman reviews Apple’s reasoning-model experiments and tests a different way to solve Tower of Hanoi using generated code.Reasoning & test-time computeBenchmarksÉvaluations+1
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Unsupervised Learning: With Jacob Effron· 4 juin 2025PodcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsAnime : Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.Évaluations et observabilitéÉvaluationsData quality & curation+3
4 diapositives18:13EN
Matthew Berman· 2 juin 2025Darwin Gödel Machine: How a Coding Agent Tests Changes to Its Own SoftwareMatthew Berman · Forward FutureMatthew Berman explains Sakana AI’s evolutionary search over agent code, its benchmark results and the limits of claims about recursive self-improvement.Ingénierie d’agentsAgents de codeÉvaluations+2
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Sequoia Capital· 27 mai 2025PodcastA thousand airplanes will never train an AI engineerFormer Airbus CTO Paul Eremenko explains why physical-world engineering still has no coding-AI moment, and how P-1 AI's agent Archie is supposed to get there anyway.AgentsIngénierie d’agentsSynthetic data+3
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Cognitive Revolution "How AI Changes Everything"· 22 mai 2025PodcastClaude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the UserAnime : Nathan LabenzReplit CEO Amjad Masad on vibe coding, agent architecture, computer use, and why Claude 3.7 is too autonomous to serve as a polite assistant.Agents de codeIngénierie d’agentsÉvaluations+3
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Unsupervised Learning: With Jacob Effron· 22 mai 2025PodcastThe New Ruler for Models Is How Long They Can WorkAnime : Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.Agents de codeIngénierie d’agentsÉvaluations+3
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Cognitive Revolution "How AI Changes Everything"· 8 mai 2025PodcastAt a 60-Person Safety Offsite, Only Four Had Seen Nonprofit OpenAIAnime : Nathan LabenzFormer OpenAI scientist Steven Adler on the Anthropic split, GPT-4, safety evaluations, and why he filed a brief to keep the company under nonprofit control.SécuritéSécurité et gouvernanceÉvaluations+3
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Unsupervised Learning: With Jacob Effron· 8 mai 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeAnime : 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.Modèles et entraînementÉvaluationsPost-training+3
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Cognitive Revolution "How AI Changes Everything"· 4 mai 2025PodcastAssume the Model Is Already Scheming — Then Put It to WorkAnime : 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.SécuritéSécurité et gouvernanceAI security+3
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Unsupervised Learning: With Jacob Effron· 29 avr. 2025PodcastSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductAnime : Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.Produit et UXAI in EducationProduct Strategy+3
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Matthew Berman· 25 avr. 2025Sleep-Time Compute: Preparing AI Context Before a QuestionMatthew Berman · Forward FutureMatthew Berman reviews a 2025 paper on moving some reasoning ahead of a user query, and explains where its experiments found benefits and limits.Reasoning & test-time computeAgent memoryAI cost & performance+2
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No Priors: AI, Machine Learning, Tech, & Startups· 24 avr. 2025Podcast · 2 voixDeep Research Turned Web Browsing into a Trainable ProblemAnime : Sarah Guo, Elad GilOpenAI researcher Isa Fulford explains why a side project on read-only synthesis became an agent, when reinforcement fine-tuning is worth it, and why models will hack the search engine you gave them.AgentsIngénierie d’agentsReinforcement Learning+3
10 diapositives26:35EN
Matthew Berman· 23 avr. 2025Testing Gemini 2.5 Flash on Coding and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman compares Google’s faster model with Gemini 2.5 Pro through interactive simulations, games and questions about a long video.Modèles et entraînementAgents de codeMultimodal AI+2
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Sequoia Capital· 15 avr. 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.Modèles et entraînementAI for sciencePretraining & midtraining+3
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No Priors: AI, Machine Learning, Tech, & Startups· 10 avr. 2025Podcast · 2 voixMercor Hit $100 Million ARR Teaching Models to Hire. Humans Now Write the Exams.Anime : Sarah Guo, Elad GilBrendan Foody tells Sarah Guo and Elad Gil how Mercor automated recruiting for frontier labs — and why building evals may become the world's most common knowledge job.Entreprise et stratégieÉvaluationsIngénierie d’agents+3
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Matthew Berman· 3 avr. 2025PaperBench: How AI Agents Attempt to Replicate Machine-Learning ResearchMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s research-replication benchmark, its partial-credit scoring and the prospect of faster AI research.ÉvaluationsAI researchIngénierie d’agents+2
5 diapositives26:05EN
Matthew Berman· 31 mars 2025Inside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.AI researchModèles et entraînementAI Safety+1
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Cognitive Revolution "How AI Changes Everything"· 29 mars 2025PodcastAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way DownAnime : Nathan LabenzThe Firebase co-founder argues that workflow software is already obsolete, that MCP is optional, and that the only durable advantage left for an AI startup is speed.AgentsIngénierie d’agentsIngénierie du contexte+3
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Cognitive Revolution "How AI Changes Everything"· 27 mars 2025PodcastHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line RepoAnime : Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.Agents de codeIngénierie du contexteGénération augmentée par récupération+3
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Sequoia Capital· 11 mars 2025PodcastHarvey Built Legal AI for the Work the Next Model Still Cannot DoCEO Winston Weinberg on citations, process data, and the unscalable tactics that won over century-old law firms.Entreprise et stratégieIA en entrepriseProduct Strategy+3
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No Priors: AI, Machine Learning, Tech, & Startups· 5 mars 2025Podcast · 2 voixThe Man Behind Humanity's Last Exam Says Superintelligence Strategy Should Copy NukesAnime : Sarah Guo, Elad GilDan Hendrycks tells No Priors that labs can only do basic anti-terror refusals, while the real risk-management problem is a geopolitical deterrent he calls mutually assured AI malfunction.SécuritéSécurité et gouvernanceAI security+3
6 diapositives17:04EN
Matthew Berman· 22 févr. 2025Training AI Agents to Communicate in a Social-Deduction GameMatthew Berman · Forward FutureMatthew Berman explains Stanford researchers’ listening and speaking objectives in a simulated game inspired by Among Us.Multi-agent systemsReinforcement LearningÉvaluations+1
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