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1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 15일팟캐스트She Never Sees a Row of Your Data. The Answers Still Clear 95%.진행자 Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.RAG와 지식컨텍스트 엔지니어링Knowledge graphs+3
1:24:48EN
Cognitive Revolution "How AI Changes Everything"· 2024년 11월 23일팟캐스트Canva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat Box진행자 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.제품과 UXProduct StrategyAI Product Management+3
2:29:04EN
Lex Fridman· 2024년 10월 6일팟캐스트 · 2명Keep the Programmer in the Driver's Seat: Cursor's Founders on Tab, Agents, and Zero-Entropy Editing게스트 Cursor Team · 진행자 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.코딩 에이전트개발 워크플로와 테스트AI interface design+3
1:09:09EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 2일팟캐스트30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually Think진행자 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.코딩 에이전트에이전트 엔지니어링파인튜닝+3
슬라이드 2장23:52EN
Matthew Berman· 2024년 9월 4일AI News in September 2024: Compute Clusters, Agents and AI PaymentsMatthew Berman · Forward FutureMatthew Berman reviews early reports on future models, a Minecraft simulation, mixed-reality devices and agent transactions.Multi-agent systems인프라와 배포Agentic commerce+2
37:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 8월 30일팟캐스트 · 2명Working Backwards from AGI: Magic's Five-Million-Token Bet진행자 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.코딩 에이전트컨텍스트 엔지니어링Inference+3
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 8월 1일팟캐스트 · 2명Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numbered진행자 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.모델과 학습AGI TimelinesPretraining & midtraining+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 19일팟캐스트HippoRAG Matches Iterative Retrieval at One-Tenth the Online Cost진행자 Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG와 지식검색 증강 생성(RAG)Knowledge graphs+3
36:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 6월 6일팟캐스트 · 2명A Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG Math진행자 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.RAG와 지식검색 증강 생성(RAG)Embeddings+3
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 5월 9일팟캐스트 · 2명The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plant진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.인프라와 배포AI cost & performance컨텍스트 엔지니어링+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 2024년 4월 8일팟캐스트Three Million Emails, Ten LLM Calls, Six Models: Shortwave's RAG Playbook진행자 Nathan LabenzFirebase founder Andrew Lee walks Nathan Labenz through the retrieval stack that turned a Gmail inbox into a working AI assistant.RAG와 지식검색 증강 생성(RAG)Vector search+3
슬라이드 3장18:47EN
Matthew Berman· 2024년 4월 7일What Anthropic’s Many-Shot Jailbreaking Research FoundMatthew Berman · Forward FutureMatthew Berman reviews a 2024 study of long-context safety failures and the limits of its tested mitigations.AI SafetyAgent red teaming컨텍스트 엔지니어링+1
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 28일팟캐스트 · 2명From a side project to 700 integrations: Harrison Chase on what still blocks agents진행자 Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.에이전트에이전트 엔지니어링Agent memory+3
31:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 2월 22일팟캐스트 · 2명Bolt Memory onto GPT-4 and Cut Hallucinations by up to 50%진행자 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.RAG와 지식검색 증강 생성(RAG)Vector search+3
42:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 2월 15일팟캐스트 · 2명Notion’s Ivan Zhao: RAG Will Make Organizing Optional진행자 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.RAG와 지식검색 증강 생성(RAG)Embeddings+3
1:43:07EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 20일팟캐스트An Agent Posted Five Tweets — and 5,000 People Didn't Notice진행자 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.에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 1월 18일팟캐스트 · 2명After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the model진행자 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.코딩 에이전트검색 증강 생성(RAG)컨텍스트 엔지니어링+3
1:53:08EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 18일팟캐스트When GPT-4 Writes SQL, Four Tables Is the Breaking Point진행자 Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG와 지식Knowledge graphs검색 증강 생성(RAG)+3
1:18:39EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 20일팟캐스트The GPT-4 Red-Teamer Who Got Unstuck by a Mediocre Outline진행자 Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.제품과 UXPrompting & in-context learningHuman-AI Collaboration+3
1:25:11EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 26일팟캐스트105 lines of code, a million impressions, and a VC who refused to found the company진행자 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.에이전트에이전트 엔지니어링Agent orchestration+3
1:26:30EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 24일팟캐스트Most of this data has never been in a database: Chroma's wartime CTO on RAG진행자 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.RAG와 지식검색 증강 생성(RAG)Embeddings+3
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 19일팟캐스트Give the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4진행자 Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.에이전트검색 증강 생성(RAG)Prompting & in-context learning+3
1:47:05EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 1일팟캐스트Edit Meaning, Not Tokens: Linus Lee on Latent-Space Interfaces진행자 Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.제품과 UXAI interface designProduct Strategy+3
17:22EN
Lenny's Podcast팟캐스트Don't Become a Software Factory: Why Context Is the Real Product진행자 Lenny RachitskyLinear CEO Karri Saarinen argues that as AI automates execution, product teams must protect the learning that makes great products possible.제품과 UXProduct StrategyProduct Leadership+3
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