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1:11:56EN
Lenny's PodcastPodcast · 2 speakersHow to Get ChatGPT to Recommend Your Product: A Practical Guide to Answer Engine OptimizationGuest Ethan Smith · Host Lenny RachitskyGraphite CEO Ethan Smith explains how AEO differs from SEO, which levers move the needle, and how to measure and test what works.Enterprise & strategyAI in sales & marketingGo-to-Market+3
1:36:57EN
Unsupervised Learning: With Jacob EffronPodcastDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding AssistantHost Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.Coding agentsEvalsRetrieval-augmented generation+3
23:54EN
No Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 speakersBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIHost 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.Models & trainingFine-tuningRetrieval-augmented generation+3
57:25EN
Unsupervised Learning: With Jacob EffronPodcastFrom RAG to Reasoning: Why the Future of AI Is a System, Not a ModelHost Jacob EffronDouwe Kiela explains what OpenAI's o1 reveals about test-time compute, why enterprise AI must be specialized, and where post-training and evaluations are heading.Models & trainingReasoning & test-time computePost-training+3
51:55EN
Unsupervised Learning: With Jacob EffronPodcastThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't EnoughHost Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.Infrastructure & deploymentVector searchRetrieval-augmented generation+3
46:48EN
Unsupervised Learning: With Jacob EffronPodcastSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes FirstHost Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.Enterprise & strategyInfrastructure & deploymentEnterprise AI+3
1:06:22EN
Unsupervised Learning: With Jacob EffronPodcastPerplexity's Bet: Search Becomes Answers, and Answers Become a BusinessHost Jacob EffronThe Perplexity CEO explains how a consumer AI search product is built, sequenced, and defended against Google.RAG & knowledgeRetrieval-augmented generationSearch & retrieval+3
32:41EN
Lex FridmanPodcast · 2 speakersHow IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a BreakthroughGuest David Ferrucci · Host 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.Models & trainingAI HistorySearch & retrieval+1
1:01:13EN
Unsupervised Learning: With Jacob EffronPodcastPinecone's Vector Database Bet: Scaling Through the ChatGPT TsunamiHost Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.Infrastructure & deploymentVector searchRetrieval-augmented generation+3