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36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 26. Juni 2026Podcast · 2 StimmenThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsModeration: 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.Evals & ObservabilityEvalsBenchmarks+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 24. Juli 2025Podcast · 2 StimmenA Hundred People, a Billion in Revenue, and Zero Venture MoneyModeration: 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.Evals & ObservabilityData quality & curationHuman-in-the-Loop-Validierung+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 8. Okt. 2024Podcast · 2 StimmenHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Moderation: Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.Evals & ObservabilityEvalsRetrieval-Augmented Generation+3
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 3. Aug. 2023Podcast · 2 StimmenEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersModeration: 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.Evals & ObservabilityObservability & ZuverlässigkeitEntwicklungs-Workflows & Tests+3
44:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 15. Juni 2023Podcast · 2 StimmenAI Will Write Ten Times More Code. Someone Still Has to Keep It Running.Moderation: Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.Evals & ObservabilityObservability & ZuverlässigkeitDeveloper productivity+3
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 9. März 2023Podcast · 2 Stimmen30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsModeration: Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.Evals & ObservabilityAI researchFoundation Models+3
2:34:20EN
Lex Fridman· 30. Aug. 2020Podcast · 2 StimmenIntelligence Is How Efficiently You Acquire Skills You Were Not Prepared ForGast: François Chollet · Moderation: 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.Evals & ObservabilityBenchmarksAI research+3
1:07:08EN
Lenny's PodcastPodcast · 2 StimmenIf the Model Is the Product, the Eval Is the PRD: Inside Mercor's RiseGast: Brendan Foody · Moderation: 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.Evals & ObservabilityEvalsData quality & curation+3
1:16:17EN
Lenny's PodcastPodcast · 2 StimmenFaster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI EraGast: Nicole Forsgren · Moderation: 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.Evals & ObservabilityDeveloper productivityEvals+3