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1:02:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 17 juil. 2025Podcast · 2 voixEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other HalfAnime : Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.Agents de codeIngénierie d’agentsÉvaluations+3
38:10EN
Cognitive Revolution "How AI Changes Everything"· 16 juil. 2025PodcastPlus Five for Format, Plus Ten if It CompilesAnime : 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.Modèles et entraînementFine-tuningPost-training+3
41:13EN
Sequoia Capital· 11 juil. 2025PodcastFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.AgentsAI for scienceMulti-agent systems+3
42:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 26 juin 2025Podcast · 2 voixAlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%Anime : Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.Agents de codeIngénierie d’agentsÉvaluations+3
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
44:21EN
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
38:25EN
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
1:01:51EN
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
57:31EN
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
2:02:51EN
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
47:00EN
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
2:29:00EN
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
30:46EN
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
58:11EN
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
41:52EN
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
2:14:59EN
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
1:25:12EN
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
54:10EN
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
36:24EN
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
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· 20 févr. 2025Podcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesAnime : Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.SécuritéSécurité et gouvernanceÉvaluations+3
1:30:28EN
Cognitive Revolution "How AI Changes Everything"· 12 févr. 2025PodcastA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative SocietyAnime : Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.AgentsMulti-agent systemsSécurité et gouvernance+3
57:11EN
Unsupervised Learning: With Jacob Effron· 30 janv. 2025PodcastA Million Tokens Cannot Write a Good JokeAnime : 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.Évaluations et observabilitéÉvaluationsBenchmarks+3
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 janv. 2025Podcast · 2 voixBilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't SellAnime : Sarah Guo, Elad GilJesse Zhang on why customer support is the golden agent use case, why instruction following beats o1-style reasoning, and the two filters that kill most agent startups.AgentsCustomer support automationAgent orchestration+3
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