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44:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 5. Sept. 2025Podcast · 2 StimmenHow OpenEvidence Became the Clinical OS for 40% of U.S. DoctorsModeration: Sarah Guo, Elad GilFounder Daniel Nadler tells No Priors how a free search tool for physicians, not an answer engine for patients, took high-stakes clinical knowledge in 18 months.
44:16ENNo Priors: AI, Machine Learning, Tech, & Startups· 21. Nov. 2024Podcast · 2 StimmenCohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4Moderation: Sarah Guo, Elad GilThe Attention Is All You Need co-author tells No Priors why enterprises should stop waiting for the next model and start putting today's models into production.
38:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 8. Okt. 2024Podcast · 2 StimmenHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Moderation: Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.
3:02:16EN
Lex Fridman· 19. Juni 2024Podcast · 2 StimmenThe journey begins after the answer: Perplexity CEO Aravind Srinivas on search and curiosityGast: Aravind Srinivas · Moderation: Lex FridmanIn 2022, Perplexity's first hire asked about health insurance — and four PhDs could not get a clear answer from Google.
36:20ENNo Priors: AI, Machine Learning, Tech, & Startups· 6. Juni 2024Podcast · 2 StimmenA Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG MathModeration: 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.
27:32ENNo Priors: AI, Machine Learning, Tech, & Startups· 28. März 2024Podcast · 2 StimmenFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsModeration: 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.
42:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 7. März 2024Podcast · 2 StimmenMeta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion QuestionModeration: Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Gemini, Mistral, NVIDIA’s upgrade cycle, Klarna’s support bot, and why the real AI spend still sits with the hyperscalers.
31:28ENNo Priors: AI, Machine Learning, Tech, & Startups· 22. Feb. 2024Podcast · 2 StimmenBolt Memory onto GPT-4 and Cut Hallucinations by up to 50%Moderation: 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. 2024Podcast · 2 StimmenNotion’s Ivan Zhao: RAG Will Make Organizing OptionalModeration: 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. Jan. 2024Podcast · 2 StimmenAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelModeration: 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.
27:14ENNo Priors: AI, Machine Learning, Tech, & Startups· 7. Dez. 2023Podcast · 2 StimmenSeven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second InningModeration: Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.
37:18ENNo Priors: AI, Machine Learning, Tech, & Startups· 4. Mai 2023Podcast · 2 StimmenUse Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.Moderation: Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.
35:36ENNo Priors: AI, Machine Learning, Tech, & Startups· 16. März 2023Podcast · 2 StimmenFeatured snippets stalled at 7%. A Google veteran used language models to hit 70%Moderation: Sarah Guo, Elad GilNeeva founder Sridhar Ramaswamy tells No Priors why answers always beat links, why privacy never sold the switch, and why most queries do not need the biggest model.
2:24:31ENLex Fridman· 11. Okt. 2019Podcast · 2 StimmenWatson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain ItselfGast: David Ferrucci · Moderation: Lex FridmanLex Fridman talks with David Ferrucci about IBM Watson, why prediction is not understanding, and why high-stakes decisions need machines that can reason with us.
1:22:36EN
Lenny's PodcastPodcast · 2 StimmenStop Chasing AI News: Chip Huyen on What Actually Makes AI Products BetterGast: Chip Huyen · Moderation: Lenny RachitskyAuthor of AI Engineering walks through pre-training, post-training, RL, evals and RAG, then explains what separates companies that get value from AI from those that stall.
1:11:56ENLenny's PodcastPodcast · 2 StimmenHow to Get ChatGPT to Recommend Your Product: A Practical Guide to Answer Engine OptimizationGast: Ethan Smith · Moderation: Lenny RachitskyGraphite CEO Ethan Smith explains how AEO differs from SEO, which levers move the needle, and how to measure and test what works.
23:54ENNo Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 StimmenBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIModeration: Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
32:41ENLex FridmanPodcast · 2 StimmenHow IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a BreakthroughGast: David Ferrucci · Moderation: Lex FridmanDavid Ferrucci tells Lex Fridman how he talked IBM into the Jeopardy challenge and how his team built Watson's search, scoring and confidence machinery in about four years.