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1:28:42EN
20VC with Harry Stebbings· 2026년 7월 20일팟캐스트 · 2명Lin Qiao on Specialized AI, Open Models and the Economics of Inference게스트 Lin Qiao · 진행자 Harry StebbingsThe Fireworks AI CEO explains her case for customized models, discusses infrastructure trade-offs and forecasts lower AI costs and higher use.InferenceAI cost & performanceOpen-weight models+2
48:55EN
Sequoia Capital· 2026년 7월 14일팟캐스트Anthropic's Platform Grew Three Layers in a Year — and Tokens Now Have JobsKatelyn Lesse and Angela Jiang tell Sequoia's Training Data how Anthropic went from a stateless Messages API to knowledge, execution, and coordination — without trying to own the servers.에이전트에이전트 엔지니어링Agent orchestration+3
2:25:58EN
Lex Fridman· 2026년 3월 23일팟캐스트 · 2명AGI Is Already Here. Building NVIDIA Is Not.게스트 Jensen Huang · 진행자 Lex FridmanLex Fridman sits down with Jensen Huang for two and a half hours on extreme co-design, CUDA, four scaling laws, and why a $1 billion AI company is easier than a durable one.기업과 전략Company BuildingAI Strategy+3
44:26EN
Sequoia Capital· 2025년 2월 13일팟캐스트An AI Application Is Still an ApplicationMongoDB's Sahir Azam tells Sequoia why vector search is a new primitive for unstructured data, not a replacement for transactions, and why retrieval quality is the last mile that gets AI into conservative enterprises.RAG와 지식Vector search검색 증강 생성(RAG)+3
슬라이드 4장1:03:21EN
JSJane Street· 2024년 12월 9일Horace He on Building ML Systems for Trillion-Trillion OperationsHorace He · MetaHow GPU bottlenecks, compiler design and distributed parallelism shape the systems behind large-scale model training.GPU programming & kernelsDistributed training & inferenceMachine Learning+2
1:10:07EN
Cognitive Revolution "How AI Changes Everything"· 2024년 6월 6일팟캐스트Same Intelligence, 1% of the Price: Logan Kilpatrick on Gemini Flash진행자 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.제품과 UXAI cost & performanceMultimodal AI+3
39:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 2월 8일팟캐스트 · 2명Three Engineers, Three Weeks: The Internal LLM Tool Half of Stripe Uses Every Week진행자 Sarah Guo, Elad GilEmily Glassberg Sands, Stripe's head of information, explains how a non-AI company got generative AI into employees' hands, then into Radar, Sigma, and the products customers actually pay for.기업과 전략엔터프라이즈 AIProduct Strategy+3
32:34EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 10월 23일팟캐스트 · 2명Ten Thousand Certified Engineers in a Year: Google Cloud's Order of Operations for Enterprise AI진행자 Sarah Guo, Elad GilKawal Gandhi, head of generative AI in Google Cloud's Office of the CTO, walks Sarah Guo and Elad Gil through dogfooding, the efficiency-productivity-creativity ladder, and why customer weights are the IP that cannot leak.기업과 전략엔터프라이즈 AIAI Strategy+3
3:34:03EN
Lex Fridman· 2023년 6월 2일팟캐스트 · 2명Python Isn't Finished: Chris Lattner on Mojo and the Hardware Mess게스트 Chris Lattner · 진행자 Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.인프라와 배포AI platform engineeringSoftware engineering+3
52:11EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 4월 20일팟캐스트 · 2명Jensen Huang: For 25 Years, 99 Percent Were Right. NVIDIA Bet on the 1 Percent진행자 Sarah Guo, Elad GilThe NVIDIA CEO tells No Priors how CUDA survived a decade without customers, why the company tries to stay lazy, and what he wants built for drugs and climate.인프라와 배포GPU programming & kernelsAI platform engineering+3
57:44EN
Lex Fridman· 2019년 8월 1일팟캐스트 · 2명Kevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others Earn게스트 Kevin Scott · 진행자 Lex FridmanMicrosoft's CTO talks radical markets, data dignity, Dunbar's number, and why a platform fails if only a handful of companies decide what AI is for.기업과 전략AI StrategyProduct Strategy+3
45:00EN
Unsupervised Learning: With Jacob Effron팟캐스트Agents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure진행자 Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.에이전트에이전트 엔지니어링Computer use+3