OpenAI Town Hall with Sam Altman

00:00 Introduction: Sam Altman opens the town hall, welcoming builders from across the AI ecosystem. 00:33 He discusses whether AI will make software engineers obsolete or increase demand, referencing the Jevons paradox. 02:18 He asks whether building is easy now and if go‑to‑market is the real bottleneck. 04:35 He outlines OpenAI’s vision for agent builders and multi‑agent UIs. 07:03 He explores how AI can help close economic gaps like the gender wage gap. 09:53 He debates whether models should be specialized or general, given GPT‑5’s tradeoffs. 12:27 He talks about “intelligence too cheap to meter” and model costs. 14:32 He explains why custom interfaces could accelerate micro‑apps for individuals. 16:26 He discusses durability when features can be replaced by model updates. 18:14 He speculates when agents will run long workflows autonomously. 19:32 He considers how AI can improve the quality of ideas, not just execution. 23:06 He warns about locking in foundations that will be hard to change. 25:08 He asks whether AI will eventually take over the full scientific research process. 29:50 He addresses AI security and biocurity risks. 33:16 He muses on the impact of instant learning on human collaboration. 38:18 He highlights underestimated failure modes as agents run production systems. 41:13 He discusses introducing AI into early education and kindergarten. 43:00 He talks about an inflection point for 3D reasoning and drug design. 43:47 He questions whether university is limiting for AI builders and his angel investing. 45:46 He predicts how software engineering interviews will change in an AI‑first world. 51:40 He reflects on how human creative identity will evolve alongside AI creation. 55:28 He considers how personalization and memory will evolve across work and personal identities. 57:45 He concludes by asking what the most important skill to learn in the age of AI is.