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7 件
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42:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年5月1日ポッドキャスト · 2 人Inference Is the Last Market: Baseten’s 30x Yearホスト Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.インフラとデプロイInferencePost-training+3
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年10月9日ポッドキャスト · 2 人STaR's Author Wants Models With EQ, Not Just More IQホスト Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.モデルと学習Post-trainingReinforcement Learning+3
39:00EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月22日ポッドキャスト · 2 人JPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.ホスト Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.インフラとデプロイData quality & curationPost-training+3
2:23:56EN
Lex Fridman· 2023年3月25日ポッドキャスト · 2 人GPT-4 is a very early AI. ChatGPT is the line in the history booksゲスト Sam Altman · ホスト Lex FridmanSix days after GPT-4 shipped, Sam Altman tells Lex Fridman why usability beat raw scale, why alignment and capability are not opposite vectors, and why OpenAI is trying to deploy while the stakes are still low.企業と戦略Post-training安全性とガバナンス+3
57:11EN
Lenny's Podcastポッドキャスト · 2 人From Artifact to Organism: Microsoft's Asha Sharma on Products That Learn and an Agentic Societyゲスト Asha Sharma · ホスト Lenny RachitskyMicrosoft's AI platform product chief explains why products are becoming living systems tuned by post-training, why interfaces are shifting toward code and composability, and how agents may reshape the org chart.エージェントエージェント工学AI interface design+3
1:14:34EN
Lenny's Podcastポッドキャスト · 2 人Inside the Frontier Lab: How Karina Nguyen Builds Products by Training the Modelゲスト Karina Nguyen · ホスト Lenny RachitskyOpenAI researcher Karina Nguyen explains synthetic data, evals, how Canvas and Tasks were made, and which human skills matter as models get smarter.プロダクトと UXPost-trainingSynthetic data+3
1:09:51EN
Lenny's Podcastポッドキャスト · 2 人From Campus Job Board to AI Data Powerhouse: How Handshake Hit $50M ARR in Four Monthsゲスト Garrett Lord · ホスト Lenny RachitskyHandshake CEO Garrett Lord explains what expert data labeling actually involves and how a decade-old student network became a supplier to seven frontier AI labs.企業と戦略Data quality & curationAI startups & small teams+3