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36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日播客 · 2 人对谈The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Models主持 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.评估与可观测性评估Benchmarks+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月24日播客 · 2 人对谈A Hundred People, a Billion in Revenue, and Zero Venture Money主持 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.评估与可观测性Data quality & curation人工介入验证+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月8日播客 · 2 人对谈Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.主持 Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.评估与可观测性评估检索增强生成+3
26:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月11日播客 · 2 人对谈Why a Zapier founder thinks AGI research has been stalled for four years主持 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.评估与可观测性通用人工智能Benchmarks+3
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月3日播客 · 2 人对谈Eight Years of No Growth, Then OpenAI and NVIDIA Became His Customers主持 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.评估与可观测性可观测性与可靠性开发流程与测试+3
44:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年6月15日播客 · 2 人对谈AI Will Write Ten Times More Code. Someone Still Has to Keep It Running.主持 Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.评估与可观测性可观测性与可靠性Developer productivity+3
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月9日播客 · 2 人对谈30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language models主持 Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.评估与可观测性AI researchFoundation Models+3