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35:19EN
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.
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 28 ago 2026PódcastThe Exam Papers Nobody AuditsPresenta: 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.
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 26 jun 2026Pódcast · 2 vocesThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsPresenta: 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.
48:00EN
Unsupervised Learning: With Jacob Effron· 15 dic 2025PódcastA Two-Second Vote Is Training Models to Be ClickbaitPresenta: 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.
32:59ENNo Priors: AI, Machine Learning, Tech, & Startups· 24 jul 2025Pódcast · 2 vocesA Hundred People, a Billion in Revenue, and Zero Venture MoneyPresenta: 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.
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Sequoia Capital· 8 jul 2025PódcastGoodfire’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.
40:33ENSequoia Capital· 24 jun 2025PódcastFifty 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.
54:53ENUnsupervised Learning: With Jacob Effron· 17 jun 2025PódcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Presenta: 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.
44:21ENUnsupervised Learning: With Jacob Effron· 4 jun 2025PódcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsPresenta: 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.
57:11ENUnsupervised Learning: With Jacob Effron· 30 ene 2025PódcastA Million Tokens Cannot Write a Good JokePresenta: 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.
1:46:41ENCognitive Revolution "How AI Changes Everything"· 21 dic 2024PódcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DPresenta: 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.
1:23:37ENCognitive Revolution "How AI Changes Everything"· 23 oct 2024PódcastNine of the top ten research ideas were Claude'sPresenta: 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.
38:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 8 oct 2024Pódcast · 2 vocesHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Presenta: Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.
1:54:17ENCognitive Revolution "How AI Changes Everything"· 28 ago 2024PódcastMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting DeskPresenta: 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.
1:56:03ENCognitive Revolution "How AI Changes Everything"· 13 jul 2024PódcastHumans Near a Perfect Score. The Best AI Still Gets 39%Presenta: 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.
55:13ENSequoia Capital· 2 jul 2024PódcastThe 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.
26:00ENNo Priors: AI, Machine Learning, Tech, & Startups· 11 jun 2024Pódcast · 2 vocesWhy a Zapier founder thinks AGI research has been stalled for four yearsPresenta: 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.
43:45ENNo Priors: AI, Machine Learning, Tech, & Startups· 3 ago 2023Pódcast · 2 vocesEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersPresenta: 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.
44:19ENNo Priors: AI, Machine Learning, Tech, & Startups· 15 jun 2023Pódcast · 2 vocesAI Will Write Ten Times More Code. Someone Still Has to Keep It Running.Presenta: Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.
53:37ENNo Priors: AI, Machine Learning, Tech, & Startups· 9 mar 2023Pódcast · 2 voces30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsPresenta: Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.
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Lex Fridman· 30 ago 2020Pódcast · 2 vocesIntelligence Is How Efficiently You Acquire Skills You Were Not Prepared ForInvitado: François Chollet · Presenta: 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.
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Lenny's PodcastPódcast · 2 vocesIf the Model Is the Product, the Eval Is the PRD: Inside Mercor's RiseInvitado: Brendan Foody · Presenta: 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.
1:16:17ENLenny's PodcastPódcast · 2 vocesFaster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI EraInvitado: Nicole Forsgren · Presenta: 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.
1:07:48ENLenny's PodcastPódcastMost Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI EraPresenta: 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.Cargar másMostrando 24 de 25