Sep 29, 2026 · 2h 6m
OpenAI bets proactive agents will remake everyday computing
OpenAI DevDay | Sam Altman, Alexander Embiricos, Andrew Ambrosino, Peter Steinberger, Tibo Sottiaux, Kath Korevec, Casey Neistat
The episode captures a pivotal product shift as AI moves from answering prompts toward acting across software, devices, organizations, and creative work.
- 1OpenAI is moving beyond chatbots toward agents that can operate computers, remember context, coordinate work, and act proactively.
- 2Codex, DOTS, Spaces, and Sites show how agentic tools could spread from developers into businesses, teams, and ordinary users.
- 3The promise of autonomous assistance depends on approval boundaries, safety review, open ecosystems, and interfaces that make capability understandable.
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The brief
Recorded live at OpenAI Dev Day, TBPN traces AI’s move from conversational answers to agents that operate computers, coordinate work, retain context, and take initiative.
Sam Altman frames adoption as lagging capability, while arguing that mundane personal conveniences may matter more to users than spectacular scientific breakthroughs.
Alexander Embiricos and Andrew Ambrosino show how Codex, DOTS, ChatGPT, and Space are converging into agentic tools for developers, teams, businesses, and solopreneurs.
Peter Steinberger pushes the idea further: agents could install software, buy things, modify hardware, and collaborate in swarms, raising questions about identity, ownership, and control.
Kath Korevec and Casey Neistat widen the frame from generated websites to physical game hardware, suggesting AI may reshape both software creation and the devices people use.
Featuring
Samuel Harris Altman
OpenAI
ChatGPT
Oura
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