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Unsupervised Learning: With Jacob Effron· May 8, 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeHost Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.
55:50ENUnsupervised Learning: With Jacob Effron· Dec 16, 2024PodcastThere will not be one model. Fireworks is betting on hundreds of small expertsHost Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.
1:04:54ENUnsupervised Learning: With Jacob Effron· Nov 12, 2024PodcastHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesHost Jacob EffronDatabricks chief AI scientist Jonathan Frankle tells enterprises when to prompt, fine-tune, or pre-train, and why he still refuses to forecast the next architecture.
1:06:39ENUnsupervised Learning: With Jacob Effron· Jan 9, 2024PodcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsHost Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.
46:48ENUnsupervised Learning: With Jacob EffronPodcastSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes FirstHost Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.