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46 件
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1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月15日ポッドキャストShe Never Sees a Row of Your Data. The Answers Still Clear 95%.ホスト Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.RAG とナレッジコンテキストエンジニアリングKnowledge graphs+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
2:29:04EN
Lex Fridman· 2024年10月6日ポッドキャスト · 2 人Keep the Programmer in the Driver's Seat: Cursor's Founders on Tab, Agents, and Zero-Entropy Editingゲスト Cursor Team · ホスト Lex FridmanMichael Truell, Aman Sanger, Sualeh Asif, and Arvid Lunnemark tell Lex Fridman why they forked VS Code, how Tab and Apply actually work, and why most programming still needs a human iterating in real time.コーディングエージェント開発ワークフローとテストAI interface design+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
37:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月30日ポッドキャスト · 2 人Working Backwards from AGI: Magic's Five-Million-Token Betホスト Sarah Guo, Elad GilEric Steinberger wants a coding colleague you trust like a teammate — and a world that is still a good place thirty years after AGI.コーディングエージェントコンテキストエンジニアリングInference+3
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月1日ポッドキャスト · 2 人Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numberedホスト Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.モデルと学習AGI TimelinesPretraining & midtraining+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月19日ポッドキャストHippoRAG Matches Iterative Retrieval at One-Tenth the Online Costホスト Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG とナレッジ検索拡張生成(RAG)Knowledge graphs+3
36:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月6日ポッドキャスト · 2 人A Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG Mathホスト 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.RAG とナレッジ検索拡張生成(RAG)Embeddings+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
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月22日ポッドキャスト · 2 人Bolt Memory onto GPT-4 and Cut Hallucinations by up to 50%ホスト 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 とナレッジ検索拡張生成(RAG)Vector search+3
42:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月15日ポッドキャスト · 2 人Notion’s Ivan Zhao: RAG Will Make Organizing Optionalホスト 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.RAG とナレッジ検索拡張生成(RAG)Embeddings+3
1:43:07EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月20日ポッドキャストAn Agent Posted Five Tweets — and 5,000 People Didn't Noticeホスト Nathan LabenzMultiOn founder Div Garg walks Cognitive Revolution through what web agents can actually do in early 2024, what they cost, and why guardrails have to sit outside the model.エージェントエージェント工学コンテキストエンジニアリング+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月18日ポッドキャスト · 2 人After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelホスト 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.コーディングエージェント検索拡張生成(RAG)コンテキストエンジニアリング+3
1:53:08EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月18日ポッドキャストWhen GPT-4 Writes SQL, Four Tables Is the Breaking Pointホスト Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG とナレッジKnowledge graphs検索拡張生成(RAG)+3
1:18:39EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月20日ポッドキャストThe GPT-4 Red-Teamer Who Got Unstuck by a Mediocre Outlineホスト Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.プロダクトと UXPrompting & in-context learningHuman-AI Collaboration+3
1:25:11EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月26日ポッドキャスト105 lines of code, a million impressions, and a VC who refused to found the companyホスト Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.エージェントエージェント工学Agent orchestration+3
1:26:30EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月24日ポッドキャストMost of this data has never been in a database: Chroma's wartime CTO on RAGホスト Nathan LabenzAnton Troynikov returns to The Cognitive Revolution to argue that retrieval quality is mostly the embedding, that Chroma should own the RAG loop, and that GPT still fails a basic Game of Life test of reasoning.RAG とナレッジ検索拡張生成(RAG)Embeddings+3
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月19日ポッドキャストGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4ホスト Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.エージェント検索拡張生成(RAG)Prompting & in-context learning+3
1:47:05EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月1日ポッドキャストEdit Meaning, Not Tokens: Linus Lee on Latent-Space Interfacesホスト Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.プロダクトと UXAI interface designProduct Strategy+3
1:36:57EN
Unsupervised Learning: With Jacob EffronポッドキャストDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding Assistantホスト 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.コーディングエージェント評価(Evals)検索拡張生成(RAG)+3
54:52EN
Unsupervised Learning: With Jacob EffronポッドキャストCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontierホスト Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.コーディングエージェントエージェント工学コンテキストエンジニアリング+3
1:03:10EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストPause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next Upgradesホスト Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.モデルと学習Transformers & attention機械学習の基礎+3