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42:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 4 jun 2026Pódcast · 2 vocesEvery Company Can Operate at the Frontier — If It Owns the EvalsPresenta: 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.
1:02:54ENNo Priors: AI, Machine Learning, Tech, & Startups· 17 jul 2025Pódcast · 2 vocesEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other HalfPresenta: 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.
38:43ENNo Priors: AI, Machine Learning, Tech, & Startups· 27 mar 2025Pódcast · 2 vocesTwo in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them StayPresenta: 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.
2:29:04EN
Lex Fridman· 6 oct 2024Pódcast · 2 vocesKeep the Programmer in the Driver's Seat: Cursor's Founders on Tab, Agents, and Zero-Entropy EditingInvitado: Cursor Team · Presenta: Lex FridmanMichael Truell, Aman Sanger, Sualeh Asif, and Arvid Lunnemark tell Lex Fridman why they forked VS Code, how Tab and Apply actually work, and why most programming still needs a human iterating in real time.
37:47ENNo Priors: AI, Machine Learning, Tech, & Startups· 30 ago 2024Pódcast · 2 vocesWorking Backwards from AGI: Magic's Five-Million-Token BetPresenta: 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.
46:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 1 ago 2024Pódcast · 2 vocesOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedPresenta: 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.
36:20ENNo Priors: AI, Machine Learning, Tech, & Startups· 6 jun 2024Pódcast · 2 vocesA Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG MathPresenta: 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.
29:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 9 may 2024Pódcast · 2 vocesThe Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power PlantPresenta: 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.
27:32ENNo Priors: AI, Machine Learning, Tech, & Startups· 28 mar 2024Pódcast · 2 vocesFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsPresenta: 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.
31:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 22 feb 2024Pódcast · 2 vocesBolt Memory onto GPT-4 and Cut Hallucinations by up to 50%Presenta: 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.
42:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 15 feb 2024Pódcast · 2 vocesNotion’s Ivan Zhao: RAG Will Make Organizing OptionalPresenta: 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.
46:36ENNo Priors: AI, Machine Learning, Tech, & Startups· 18 ene 2024Pódcast · 2 vocesAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelPresenta: 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.