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1:34:11EN
Cognitive Revolution "How AI Changes Everything"· Apr 17, 2024PodcastFrom forty hours in a scanner to one: reconstructing what you see from a shared brain spaceHost Nathan LabenzPaul Scotti explains how MindEye2 maps a new person's fMRI into CLIP with an hour of data, and why a linear layer plus better image generators changed the cost of reading minds.Multimodal & mediaBrain-Computer InterfacesNeuroscience & AI+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· Apr 8, 2024PodcastThree Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG PlaybookHost Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG & knowledgeRetrieval-augmented generationVector search+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· Mar 27, 2024PodcastFifteen Examples Can Poison GPT-4: Today's AI Systems Are Exploitable by DefaultHost Nathan LabenzFAR AI founder Adam Gleave walks through cheap jailbreaks in GPT-4's APIs and amateur-level wins against superhuman Go engines, and why robustness is not arriving on its own.Security & safetyAI securitySafety & governance+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 22, 2024Podcast · 2 speakersBolt Memory onto GPT-4 and Cut Hallucinations by up to 50%Host 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 & knowledgeRetrieval-augmented generationVector search+3
1:06:39EN
Unsupervised Learning: With Jacob Effron· Jan 9, 2024PodcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsHost Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.Enterprise & strategyAI StrategyPrompting & in-context learning+3
1:22:43EN
Cognitive Revolution "How AI Changes Everything"· Jan 9, 2024PodcastFive billion minutes of calls: why Dialpad trained its own business LLMHost Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.Enterprise & strategyVoice AIEnterprise AI+3
1:21:50EN
Cognitive Revolution "How AI Changes Everything"· Nov 14, 2023PodcastA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Host Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.Models & trainingSynthetic dataData quality & curation+3
1:14:48EN
Cognitive Revolution "How AI Changes Everything"· Nov 8, 2023PodcastDevDay Probably Created Thousands of Startups, Says OpenAI's Logan KilpatrickHost Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.Enterprise & strategyProduct StrategyAgent engineering+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· Oct 31, 2023PodcastThe Historian Who Taught GPT-3.5 to Beat GPT-4Host Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.RAG & knowledgeRetrieval-augmented generationFine-tuning+3
1:17:09EN
Cognitive Revolution "How AI Changes Everything"· Sep 26, 2023PodcastGPT-4 as Teacher, GPT-3.5 as Student: A Nine-Tenths Cost Cut and an AI Bundle Nobody Will StartHost Nathan LabenzNathan Labenz reports that chain-of-thought traces from GPT-4 train a cheaper, faster 3.5, then argues for flooring the app accelerator, tapping the brake on GPT-5, and bundling a hundred AI tools for a hundred dollars.Enterprise & strategyFine-tuningSynthetic data+3
2:32:49EN
Cognitive Revolution "How AI Changes Everything"· Sep 12, 2023PodcastGPT-4 Failed a Hollow Top Hat. Hollywood's AI Deal Closed Only Half the Loopholes.Host Nathan LabenzWriter Trey Kollmer returns with a strike update, a copyright briefing, and a riddle that still fools the best model.Enterprise & strategyAI researchFine-tuning+3
55:08EN
Cognitive Revolution "How AI Changes Everything"· Aug 29, 2023PodcastOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2Host Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.Models & trainingMultimodal AIEvals+3
52:48EN
Cognitive Revolution "How AI Changes Everything"· Aug 25, 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListHost Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.Models & trainingFine-tuningAI cost & performance+3
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· Jul 19, 2023PodcastGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Host Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.AgentsRetrieval-augmented generationPrompting & in-context learning+3
59:28EN
Cognitive Revolution "How AI Changes Everything"· Jun 16, 2023PodcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductHost Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Models & trainingFine-tuningPretraining & midtraining+3
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· May 21, 2023PodcastTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical SchoolHost Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.Models & trainingAI in healthcareFine-tuning+3
42:18EN
No Priors: AI, Machine Learning, Tech, & Startups· May 18, 2023Podcast · 2 speakersTen Percent of Search Is Health — and the Doctor Is Googling TooHost Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.Models & trainingAI in healthcareSafety & governance+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· May 4, 2023Podcast · 2 speakersUse Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.Host Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.RAG & knowledgeRetrieval-augmented generationFine-tuning+3
1:21:06EN
Cognitive Revolution "How AI Changes Everything"· Apr 27, 2023PodcastEveryone Talks About RLHF. Almost Nobody Is Doing It.Host Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.Product & UXEvalsObservability & reliability+3
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· Apr 6, 2023Podcast · 2 speakersA 6-Billion-Parameter Clone of ChatGPT’s Core TrickHost Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.Models & trainingOpen-weight modelsFine-tuning+3
1:56:16EN
Cognitive Revolution "How AI Changes Everything"· Apr 6, 2023PodcastThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Host Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.RAG & knowledgeAgent engineeringEvals+3
1:22:36EN
Lenny's PodcastPodcast · 2 speakersStop Chasing AI News: Chip Huyen on What Actually Makes AI Products BetterGuest Chip Huyen · Host 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.Product & UXFine-tuningRetrieval-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
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
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