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57:37ENThe hot-swap era for models is over, OpenAI's enterprise product chief saysModeration: Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.
42:06ENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5Moderation: Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
57:31ENThe New Ruler for Models Is How Long They Can WorkModeration: Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.
47:00ENAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeModeration: 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.
1:01:53ENOpen-source models are 5% of enterprise use — and GPT wrappers wonModeration: 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.
44:34ENThe Cheaper Intelligence Gets, the More of It We'll BuyModeration: Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.
57:11ENA Million Tokens Cannot Write a Good JokeModeration: Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.
1:07:32ENo1 Is a New Generation — and the Day AGI Arrives Will Feel BoringModeration: Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.
48:18ENNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomModeration: Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.
1:06:39ENOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsModeration: 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.
1:05:22ENBuild First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of AgentsModeration: 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.
45:46ENGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfaceModeration: Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
44:53ENLegora's CEO on Building Legal AI That Survives the Next Model ReleaseModeration: Jacob EffronMax explains how Legora turns fast-moving model capabilities into end-to-end legal work, enterprise adoption, and a durable product strategy.
45:00ENAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use InfrastructureModeration: Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.
54:52ENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next FrontierModeration: Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.






