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10 件
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36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日ポッドキャスト · 2 人The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Modelsホスト 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.評価とオブザーバビリティ評価(Evals)Benchmarks+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月24日ポッドキャスト · 2 人A Hundred People, a Billion in Revenue, and Zero Venture Moneyホスト 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.評価とオブザーバビリティData quality & curation人による検証(HITL)+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年10月8日ポッドキャスト · 2 人Half of Production AI Is RAG. Fine-Tuning Almost Disappeared.ホスト Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.評価とオブザーバビリティ評価(Evals)検索拡張生成(RAG)+3
26:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月11日ポッドキャスト · 2 人Why a Zapier founder thinks AGI research has been stalled for four yearsホスト 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.評価とオブザーバビリティAGI(汎用人工知能)Benchmarks+3
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月3日ポッドキャスト · 2 人Eight Years of No Growth, Then OpenAI and NVIDIA Became His Customersホスト 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.評価とオブザーバビリティオブザーバビリティと信頼性開発ワークフローとテスト+3
44:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年6月15日ポッドキャスト · 2 人AI Will Write Ten Times More Code. Someone Still Has to Keep It Running.ホスト Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.評価とオブザーバビリティオブザーバビリティと信頼性Developer productivity+3
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月9日ポッドキャスト · 2 人30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsホスト Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.評価とオブザーバビリティAI researchFoundation Models+3
2:34:20EN
Lex Fridman· 2020年8月30日ポッドキャスト · 2 人Intelligence Is How Efficiently You Acquire Skills You Were Not Prepared Forゲスト François Chollet · ホスト 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.評価とオブザーバビリティBenchmarksAI research+3
1:07:08EN
Lenny's Podcastポッドキャスト · 2 人If the Model Is the Product, the Eval Is the PRD: Inside Mercor's Riseゲスト Brendan Foody · ホスト 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.評価とオブザーバビリティ評価(Evals)Data quality & curation+3
1:16:17EN
Lenny's Podcastポッドキャスト · 2 人Faster, But for What? Nicole Forsgren on Measuring Developer Productivity in the AI Eraゲスト Nicole Forsgren · ホスト 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.評価とオブザーバビリティDeveloper productivity評価(Evals)+3