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50:57EN
Unsupervised Learning: With Jacob Effron· 2026년 7월 9일팟캐스트A Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen Schmidhuber진행자 Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.모델과 학습AGI(범용 인공지능)AI research+3
1:06:36EN
Unsupervised Learning: With Jacob Effron· 2026년 6월 12일팟캐스트Bills Doubled Overnight. Next, the APIs Might Vanish.진행자 Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.기업과 전략AI StrategyOpen-source ecosystems+3
54:53EN
Unsupervised Learning: With Jacob Effron· 2025년 6월 17일팟캐스트A Free Voting Board Burned $2 Million. Then It Raised $100 Million.진행자 Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.평가와 관측 가능성평가(Evals)Benchmarks+3
1:01:53EN
Unsupervised Learning: With Jacob Effron· 2025년 3월 28일팟캐스트Open-source models are 5% of enterprise use — and GPT wrappers won진행자 Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.기업과 전략Product-Market FitAI Strategy+3
45:06EN
Unsupervised Learning: With Jacob Effron· 2025년 3월 5일팟캐스트Mike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Year진행자 Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.인프라와 배포AI StrategyOpen-weight models+3
1:05:22EN
Unsupervised Learning: With Jacob Effron팟캐스트Build First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of Agents진행자 Jacob EffronHarrison Chase explains how LangChain grew from an orchestration layer into LangSmith and LangGraph, why evaluation datasets force product clarity, and why reliable agents look more like state machines than autonomous loops.제품과 UXCompany BuildingAI startups & small teams+3
1:11:06EN
Unsupervised Learning: With Jacob Effron팟캐스트Replit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software Creators진행자 Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.제품과 UX코딩 에이전트Vibe Coding+3
40:00EN
Unsupervised Learning: With Jacob Effron팟캐스트The Winds of Change: How Mistral Plans to Win the Open-Model Era진행자 Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.기업과 전략Open-source ecosystemsAI Strategy+3
1:12:15EN
Unsupervised Learning: With Jacob Effron팟캐스트The Open-Model Vibe Check: China, Containment, and the Data Moat진행자 Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.오픈소스와 커뮤니티Open-weight modelsOpen-source ecosystems+3
50:23EN
Unsupervised Learning: With Jacob Effron팟캐스트OpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrives진행자 Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.기업과 전략AGI TimelinesAI Strategy+3