Author: OpenAI – Duration: 00:59:44

Sam Altman answers questions and discusses the future of AI with builders from across the AI ​​ecosystem. 00:00 Introduction 00:33 Will AI make software engineers obsolete or massively increase demand? (Jevons Paradox) 02:18 If building is easy today, is getting to market the real bottleneck? 04:35 What is OpenAI's vision for agent generators and multi-agent user interfaces? 07:03 How can AI help close long-standing economic gaps, like the gender wage gap? 09:53 Should models be specialized or general, given the tradeoffs of GPT-5? 12:27 How should developers think about “intelligence too cheap to measure” and model costs? 14:32 Why might custom interfaces accelerate microapps designed just for individuals? 16:26 How do manufacturers create sustainability when features can be replaced with model updates? 18:14 When will agents run long workflows autonomously without human intervention? 19:32 How can AI help improve the *quality of ideas*, not just their execution? 23:06 Are we locked into foundations today that will be difficult to change later? 25:08 Will AI eventually take over the entire scientific research process? 29:50 How should we think about AI security and biosecurity risks? 33:16 If AI makes individual learning instantaneous, what happens to human collaboration? 38:18 What are the most underestimated failure modes when agents manage production systems? 41:13 How should AI be introduced into preschool and kindergarten? 43:00 Is there an upcoming inflection point for 3D reasoning and drug design? 43:47 Is academia becoming a barrier for AI builders, and are you continuing to invest angel investors? 45:46 How will software engineering interviews change in an AI-driven world? 51:40 How will human creative identity evolve alongside the creation of AI? 55:28 How will personalization and memory evolve through work and personal identities? 57:45 What is the most important skill to learn in the age of AI?