openai has been working on the research behind dots for almost two years. most people assumed this was a response to other labs. It wasn't the thing that took two years wasn't making it smart, it was making it remember. → dots stay coherent over weeks. you teach it your preferences once, it doesn't forget the brief two weeks later. → they never stop. if there's nothing useful to do, they sleep. the moment something comes up, they wake back up. → they run long-horizon tasks across multiple days without losing track every other agent today resets context after a conversation ends. dots don't have conversations. they have ongoing relationships with your work. that's what took two years to build.

The interview with @thsottiaux from OpenAI 🔥 0:00 Everything OpenAI launched at DevDay 2:44 Sponsors: Wispr Flow, Hostinger, OpenArt 4:11 What is ChatGPT Dots? 7:52 Will ChatGPT Dots be free? 10:15 GPT-6.1 Sol vs GPT-6 Astra 11:44 Is AI now building AI? 12:53 Ultra Fast: when does everyone get it? 14:00 How OpenAI rebuilt the ChatGPT desktop app in 30 days 19:08 Why everything will run in the cloud 20:55 Calling your Dots on the phone 22:11 The new Turing test 24:05 OpenAI's mission and AI safety 26:14 Why OpenAI still works like a startup 27:29 The truth about ChatGPT usage resets 29:00 The $500 ChatGPT plan 30:17 Sponsors in action 32:23 Why AI agents still fail 33:52 OpenAI's AI is now on call 34:26 OpenAI's internal benchmarks 35:55 Open source Codex and the open ecosystem 38:42 ChatGPT Space explained 39:45 Is the chat box holding AI back? 42:26 Every DevDay update, full workshop 43:28 How people really use ChatGPT Work and Codex 44:01 When is the next OpenAI model coming? 45:05 What AI has to solve next 45:32 Is your job safe from AI? 48:14 Rapid fire 48:54 Has OpenAI already reached AGI? 50:48 The one thing he'll never let AI do 51:22 His morning AI routine 52:15 What he'd build if not AI Watch the full podcast on YouTube or X. Enjoy!

Here's what's actually wild about what's happening inside openai right now. Tibo explained how gpt-6.1 sol was even possible they gave their smartest engineers astra, and those engineers started doing things previously considered almost impossible. They used astra to rethink the entire inference stack. that's how 6.1 sol is almost as intelligent as astra at a fifth of the price. "we push the frontier and then we make things more affordable and more broadly available." but it's not just models. ultra fast has changed how openai itself ships.