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1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 1 juil. 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreAnime : Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
1:48:43ENCognitive Revolution "How AI Changes Everything"· 1 mai 2026PodcastThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.Anime : Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.
2:25:10ENCognitive Revolution "How AI Changes Everything"· 22 janv. 2026PodcastFine-Tuning Isn't Dead — But It Turned a Helpful Model EvilAnime : Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.
1:32:38ENCognitive Revolution "How AI Changes Everything"· 6 déc. 2025PodcastPolish Is 1% of Frontier Training Data, So Poland Built Its Own ModelAnime : Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.
1:55:12ENCognitive Revolution "How AI Changes Everything"· 8 nov. 2025Podcast28,000 Documents, a 3B Model, 22 People: The Technical Ledger of Catholic AIAnime : Nathan LabenzLongbeard CEO Matthew Harvey Sanders tells The Cognitive Revolution how a mission-driven team is aligning models to the Catholic magisterium — and why fine-tuning was not enough.
38:10ENCognitive Revolution "How AI Changes Everything"· 16 juil. 2025PodcastPlus Five for Format, Plus Ten if It CompilesAnime : Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.
1:28:48ENCognitive Revolution "How AI Changes Everything"· 10 juil. 2025PodcastDoctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.Anime : Nathan LabenzAmbience Healthcare and Cleveland Clinic walk through the AI scribe that cut pajama time, climbed ICD-10 with reinforcement fine-tuning, and won 75% voluntary use.
1:42:06ENCognitive Revolution "How AI Changes Everything"· 8 juil. 2025PodcastEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It GoesAnime : Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.
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Unsupervised Learning: With Jacob Effron· 8 mai 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeAnime : Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.
3:53:49ENCognitive Revolution "How AI Changes Everything"· 3 janv. 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oAnime : Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.
55:50ENUnsupervised Learning: With Jacob Effron· 16 déc. 2024PodcastThere will not be one model. Fireworks is betting on hundreds of small expertsAnime : Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.
1:24:48ENCognitive Revolution "How AI Changes Everything"· 23 nov. 2024PodcastCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat BoxAnime : Nathan LabenzJohn Milinovich, Canva's generative-AI product lead, walks Nathan Labenz through automation versus augmentation, concept-level interfaces, evals without a design arena, and why application-layer companies still have a decade of room.
1:04:54ENUnsupervised Learning: With Jacob Effron· 12 nov. 2024PodcastHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesAnime : Jacob EffronDatabricks chief AI scientist Jonathan Frankle tells enterprises when to prompt, fine-tune, or pre-train, and why he still refuses to forecast the next architecture.
1:09:09ENCognitive Revolution "How AI Changes Everything"· 2 oct. 2024Podcast30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually ThinkAnime : Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.
1:51:00ENCognitive Revolution "How AI Changes Everything"· 21 août 2024PodcastStart With Ten Gold Examples: A Three-Step Playbook for AI AutomationAnime : Nathan LabenzThe day after OpenAI opened GPT-4o fine-tuning, Nathan Labenz unpacks a three-year method for choosing work, extracting tacit judgment, and raising model performance.
1:10:07ENCognitive Revolution "How AI Changes Everything"· 6 juin 2024PodcastSame Intelligence, 1% of the Price: Logan Kilpatrick on Gemini FlashAnime : Nathan LabenzA former OpenAI developer-relations lead, now the product manager for Google AI Studio, walks through what Gemini 1.5 Flash actually changes for builders.
1:42:17ENCognitive Revolution "How AI Changes Everything"· 20 avr. 2024PodcastThe Cheapest Inference Provider Is the Most DangerousAnime : Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.
1:34:11ENCognitive Revolution "How AI Changes Everything"· 17 avr. 2024PodcastFrom forty hours in a scanner to one: reconstructing what you see from a shared brain spaceAnime : 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.
1:27:01ENCognitive Revolution "How AI Changes Everything"· 8 avr. 2024PodcastThree Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG PlaybookAnime : Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.
1:43:54ENCognitive Revolution "How AI Changes Everything"· 27 mars 2024PodcastFifteen Examples Can Poison GPT-4: Today's AI Systems Are Exploitable by DefaultAnime : 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.
1:06:39ENUnsupervised Learning: With Jacob Effron· 9 janv. 2024PodcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsAnime : 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.
1:22:43ENCognitive Revolution "How AI Changes Everything"· 9 janv. 2024PodcastFive billion minutes of calls: why Dialpad trained its own business LLMAnime : Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.
1:21:50ENCognitive Revolution "How AI Changes Everything"· 14 nov. 2023PodcastA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Anime : 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.
1:14:48ENCognitive Revolution "How AI Changes Everything"· 8 nov. 2023PodcastDevDay Probably Created Thousands of Startups, Says OpenAI's Logan KilpatrickAnime : 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.Charger plus24 sur 36 affichés