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36 件
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1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月1日ポッドキャストFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Exploreホスト Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.企業と戦略ファインチューニングAgent orchestration+3
1:48:43EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月1日ポッドキャストThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.ホスト 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.モデルと学習Reinforcement LearningPost-training+3
2:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月22日ポッドキャストFine-Tuning Isn't Dead — But It Turned a Helpful Model Evilホスト 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.モデルと学習ファインチューニング安全性とガバナンス+3
1:32:38EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月6日ポッドキャストPolish Is 1% of Frontier Training Data, So Poland Built Its Own Modelホスト 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.企業と戦略Open-weight modelsData quality & curation+3
1:55:12EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月8日ポッドキャスト28,000 Documents, a 3B Model, 22 People: The Technical Ledger of Catholic AIホスト 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.モデルと学習検索拡張生成(RAG)ファインチューニング+3
38:10EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月16日ポッドキャストPlus Five for Format, Plus Ten if It Compilesホスト 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.モデルと学習ファインチューニングPost-training+3
1:28:48EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月10日ポッドキャストDoctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.ホスト 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.企業と戦略AI in healthcareファインチューニング+3
1:42:06EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月8日ポッドキャストEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It Goesホスト 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.モデルと学習Post-trainingData quality & curation+3
47:00EN
Unsupervised Learning: With Jacob Effron· 2025年5月8日ポッドキャストAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decadeホスト 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.モデルと学習評価(Evals)Post-training+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月3日ポッドキャストWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oホスト Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.マルチモーダルとメディアMultimodal AI画像と動画+3
55:50EN
Unsupervised Learning: With Jacob Effron· 2024年12月16日ポッドキャストThere will not be one model. Fireworks is betting on hundreds of small expertsホスト 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.インフラとデプロイInferenceModel routing & gateways+3
1:24:48EN
Cognitive Revolution "How AI Changes Everything"· 2024年11月23日ポッドキャストCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat Boxホスト 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.プロダクトと UXProduct StrategyAI Product Management+3
1:04:54EN
Unsupervised Learning: With Jacob Effron· 2024年11月12日ポッドキャストHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesホスト 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.企業と戦略Transformers & attentionPretraining & midtraining+3
1:09:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月2日ポッドキャスト30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually Thinkホスト 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.コーディングエージェントエージェント工学ファインチューニング+3
1:51:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月21日ポッドキャストStart With Ten Gold Examples: A Three-Step Playbook for AI Automationホスト 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.企業と戦略Workflow automationPrompting & in-context learning+3
1:10:07EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月6日ポッドキャストSame Intelligence, 1% of the Price: Logan Kilpatrick on Gemini Flashホスト 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.プロダクトと UXAI cost & performanceMultimodal AI+3
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月20日ポッドキャストThe Cheapest Inference Provider Is the Most Dangerousホスト 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.インフラとデプロイInferenceAI cost & performance+3
1:34:11EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月17日ポッドキャストFrom forty hours in a scanner to one: reconstructing what you see from a shared brain spaceホスト 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.マルチモーダルとメディアBrain-Computer InterfacesNeuroscience & AI+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月8日ポッドキャストThree Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG Playbookホスト Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG とナレッジ検索拡張生成(RAG)Vector search+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 2024年3月27日ポッドキャストFifteen Examples Can Poison GPT-4: Today's AI Systems Are Exploitable by Defaultホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
1:06:39EN
Unsupervised Learning: With Jacob Effron· 2024年1月9日ポッドキャストOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need Yearsホスト 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.企業と戦略AI StrategyPrompting & in-context learning+3
1:22:43EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月9日ポッドキャストFive billion minutes of calls: why Dialpad trained its own business LLMホスト Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.企業と戦略音声 AIエンタープライズ AI+3
1:21:50EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月14日ポッドキャストA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.ホスト 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.モデルと学習Synthetic dataData quality & curation+3
1:14:48EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月8日ポッドキャストDevDay Probably Created Thousands of Startups, Says OpenAI's Logan Kilpatrickホスト 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.企業と戦略Product Strategyエージェント工学+3
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