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42:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月4日播客 · 2 人对谈Every Company Can Operate at the Frontier — If It Owns the Evals主持 Sarah Guo, Elad GilAt Microsoft Build, Satya Nadella tells No Priors and Latent Space why AI is an ecosystem game, why private evals beat public benchmarks, and why the Azure networking team now asks for tokens instead of headcount.企业与战略企业 AIAI Strategy+3
1:02:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月17日播客 · 2 人对谈Enterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other Half主持 Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.编程智能体智能体工程评估+3
38:43EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月27日播客 · 2 人对谈Two in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them Stay主持 Sarah Guo, Elad GilAbridge CEO Shiv Rao on treating the doctor-patient conversation as healthcare's source of truth, and why the company ran straight at the hardest health systems.企业与战略AI in healthcare语音 AI+3
2:29:04EN → 简体中文
Lex Fridman· 2024年10月6日播客 · 2 人对谈让程序员留在驾驶座上:Cursor 创始人谈 Tab、智能体(Agent)与零熵编辑嘉宾 Cursor Team · 主持 Lex FridmanMichael Truell、Aman Sanger、Sualeh Asif 和 Arvid Lunnemark 向莱克斯·弗里德曼(Lex Fridman)讲述了他们为什么要分叉 VS Code、Tab 和 Apply 究竟如何运作,以及为什么大多数编程仍然需要人类实时迭代。编程智能体开发流程与测试AI interface design+3
37:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月30日播客 · 2 人对谈Working Backwards from AGI: Magic's Five-Million-Token Bet主持 Sarah Guo, Elad GilEric Steinberger wants a coding colleague you trust like a teammate — and a world that is still a good place thirty years after AGI.编程智能体上下文工程Inference+3
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月1日播客 · 2 人对谈Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numbered主持 Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.模型与训练AGI TimelinesPretraining & midtraining+3
36:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月6日播客 · 2 人对谈A Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG Math主持 Sarah Guo, Elad GilThe Stanford professor and Voyage AI founder argues that retrieval, not a giant context window, is how enterprises should manage private knowledge.RAG 与知识库检索增强生成Embeddings+3
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月9日播客 · 2 人对谈The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plant主持 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.基础设施与部署AI cost & performance上下文工程+3
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月28日播客 · 2 人对谈From a side project to 700 integrations: Harrison Chase on what still blocks agents主持 Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.智能体智能体工程Agent memory+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月22日播客 · 2 人对谈Bolt Memory onto GPT-4 and Cut Hallucinations by up to 50%主持 Sarah Guo, Elad GilPinecone CEO Edo Liberty tells Sarah Guo and Elad Gil how RAG, serverless vectors, and keeping knowledge outside the model make LLMs more reliable.RAG 与知识库检索增强生成Vector search+3
42:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月15日播客 · 2 人对谈Notion’s Ivan Zhao: RAG Will Make Organizing Optional主持 Sarah Guo, Elad GilThe Notion CEO tells No Priors why he bet the company on GPT-4, why embeddings matter as much as agents, and why software is entering a bundling cycle.RAG 与知识库检索增强生成Embeddings+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月18日播客 · 2 人对谈After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the model主持 Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.编程智能体检索增强生成上下文工程+3