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7 diapositives35:19EN
AI Engineer· 25 oct. 2026SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.Évaluations et observabilitéÉvaluationsIngénierie d’agents+2
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Cognitive Revolution "How AI Changes Everything"· 28 août 2026PodcastThe Exam Papers Nobody AuditsAnime : Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.Évaluations et observabilitéÉvaluationsReward hacking+3
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No Priors: AI, Machine Learning, Tech, & Startups· 26 juin 2026Podcast · 2 voixThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsAnime : 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.Évaluations et observabilitéÉvaluationsBenchmarks+3
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Unsupervised Learning: With Jacob Effron· 15 déc. 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitAnime : 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.Évaluations et observabilitéRL environments & simulatorsData quality & curation+3
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No Priors: AI, Machine Learning, Tech, & Startups· 24 juil. 2025Podcast · 2 voixA Hundred People, a Billion in Revenue, and Zero Venture MoneyAnime : 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.Évaluations et observabilitéData quality & curationValidation avec humain dans la boucle+3
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Sequoia Capital· 8 juil. 2025PodcastGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.Évaluations et observabilitéModel InterpretabilitySécurité et gouvernance+3
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Sequoia Capital· 24 juin 2025PodcastFifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.Évaluations et observabilitéObservabilité et fiabilitéIngénierie d’agents+3
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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
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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
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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
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Cognitive Revolution "How AI Changes Everything"· 21 déc. 2024PodcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DAnime : Nathan LabenzNeev Parikh of METR walks Nathan Labenz through REBench, a seven-task test of whether agents can do machine learning research—and what happened when one of them decided not to train.Évaluations et observabilitéÉvaluationsBenchmarks+3
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Cognitive Revolution "How AI Changes Everything"· 23 oct. 2024PodcastNine of the top ten research ideas were Claude'sAnime : Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.Évaluations et observabilitéÉvaluationsBenchmarks+3
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No Priors: AI, Machine Learning, Tech, & Startups· 8 oct. 2024Podcast · 2 voixHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Anime : Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.Évaluations et observabilitéÉvaluationsGénération augmentée par récupération+3
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Cognitive Revolution "How AI Changes Everything"· 28 août 2024PodcastMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting DeskAnime : Nathan LabenzNathan Labenz talks with Metaculus CEO Deger Turan about epistemic security, a year-long bot tournament, and why a useful forecast is harder than an accurate one.Évaluations et observabilitéÉvaluationsBenchmarks+3
1:56:03EN
Cognitive Revolution "How AI Changes Everything"· 13 juil. 2024PodcastHumans Near a Perfect Score. The Best AI Still Gets 39%Anime : 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.Évaluations et observabilitéAGIBenchmarks+3
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Sequoia Capital· 2 juil. 2024PodcastThe Best AI Scores 39% on This Test. Zapier’s Co-Founder Put $1 Million on Beating ItFrançois Chollet designed ARC to measure skill-acquisition efficiency; five years later humans still crush it and frontier models do not.Évaluations et observabilitéBenchmarksAGI Timelines+3
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No Priors: AI, Machine Learning, Tech, & Startups· 11 juin 2024Podcast · 2 voixWhy a Zapier founder thinks AGI research has been stalled for four yearsAnime : Sarah Guo, Elad GilMike Knoop and François Chollet put more than a million dollars on beating ARC-AGI, the eval they say actually measures general intelligence.Évaluations et observabilitéAGIBenchmarks+3
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No Priors: AI, Machine Learning, Tech, & Startups· 3 août 2023Podcast · 2 voixEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersAnime : Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.Évaluations et observabilitéObservabilité et fiabilitéWorkflows de développement et tests+3
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No Priors: AI, Machine Learning, Tech, & Startups· 15 juin 2023Podcast · 2 voixAI Will Write Ten Times More Code. Someone Still Has to Keep It Running.Anime : Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.Évaluations et observabilitéObservabilité et fiabilitéDeveloper productivity+3
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No Priors: AI, Machine Learning, Tech, & Startups· 9 mars 2023Podcast · 2 voix30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsAnime : Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.Évaluations et observabilitéAI researchFoundation Models+3
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Lex Fridman· 30 août 2020Podcast · 2 voixIntelligence Is How Efficiently You Acquire Skills You Were Not Prepared ForInvité : François Chollet · Anime : Lex FridmanFrançois Chollet tells Lex Fridman why skill is not intelligence, why GPT-3 is still pattern matching, and why a grid puzzle called ARC still separates children from machines.Évaluations et observabilitéBenchmarksAI research+3
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Lenny's PodcastPodcast · 2 voixIf the Model Is the Product, the Eval Is the PRD: Inside Mercor's RiseInvité : Brendan Foody · Anime : Lenny RachitskyMercor CEO Brendan Foody explains why AI labs will pay almost anything for expert-written evals, how his company grew from $1 million to a $400 million run rate in 16 months, and what that means for jobs and founders.Évaluations et observabilitéÉvaluationsData quality & curation+3
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Lenny's PodcastPodcast · 2 voixFaster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI EraInvité : Nicole Forsgren · Anime : Lenny RachitskyThe creator of DORA and SPACE explains why most productivity metrics mislead, how AI changes flow and trust, and how to build a developer experience program that proves its value.Évaluations et observabilitéDeveloper productivityÉvaluations+3
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Lenny's PodcastPodcastMost Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI EraAnime : Lenny RachitskyThe creator of DORA and SPACE explains why lines of code and old pipeline metrics fall short with AI, and how to start improving developer experience by listening, surveying and tying results to what leaders care about.Évaluations et observabilitéDeveloper productivityWorkflows de développement et tests+3
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