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56:31EN
Unsupervised Learning: With Jacob Effron· 2026년 10월 6일팟캐스트Post-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab진행자 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.모델과 학습Post-trainingReinforcement Learning+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
1:09:48EN
Unsupervised Learning: With Jacob Effron· 2025년 12월 5일팟캐스트China's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.진행자 Jacob EffronJordan Schneider tells Unsupervised Learning that Chinese models were a private-capital story, that Beijing still thinks in hardware, and that the West's real edge is chips it can serve — not a state master plan.기업과 전략GeopoliticsAI Strategy+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
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
1:24:57EN
Unsupervised Learning: With Jacob Effron· 2025년 1월 21일팟캐스트A 50,000-GPU cap and a 1,700-chip loophole진행자 Jacob EffronSemiAnalysis founder Dylan Patel walks through the AI diffusion rule, China’s compute squeeze, and how xAI stood up a 100,000-GPU cluster in a closed Memphis appliance factory.인프라와 배포AI RegulationGeopolitics+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