On 29 September OpenAI announced more than twenty things at DevDay in San Francisco: dots, always-on agents with a computer of their own; GPT-6.1 Sol, which OpenAI says comes close to Astra at a fifth of the price; ChatGPT Space and Pages for teams working alongside agents; Codex in the cloud, computer use in the Agents API, and a Pro 500 plan. We are collecting the launches in OpenAI's own words, what was shown on stage, what people tried and argued about in the first hours, and the night before, each in the poster's own words. Nobody in these bylines is on eChai, and every entry links back to where it was posted.
2 entries Clear
TBPN's interview with Sam Altman at DevDay, fifteen minutes from how Altman has been using dots to solving alignment, with the chapters in the post. It plays where it was posted.
TBPN
7h
Our full interview with @sama live from OpenAI DevDay:
0:55 - How Sam has been using Dots
2:45 - Looking back on OpenAI's last 6months
4:30 - Solving Navier-Stokes vs. booking haircuts
6:05 - On building an open ecosystem
7:45 - How to maintain a startup culture
9:00 - Fighting slop grenades
10:00 - OpenAI’s chip program
10:55 - Model picker exhaustion
12:45 - 10-year predictions
14:15 - Solving alignment
Sam Altman spoke to CNBC's Kate Rooney on the morning of DevDay, a day after OpenAI said it would not release GPT-6.1 Astra because it did not meet its safety standards. The first passage is on that decision, which Altman put in the normal course of things; the second is on Nvidia's new platform for keeping AI agents in check, which Altman called a good thing but not a full solution. In the same interview Altman said OpenAI knows of no other incident as serious as the Hugging Face breach.
Sam Altman, in cnbc.com
Often we build a model, we test it, it doesn't meet our standards, we change it, we launch it later.
[...]
I don't think it's a full solution, and I worry that if we treat AI safety as only an engineering problem, we will miss the very important point that we have we have a science problem in front of us. We still have discovery about how to align these models, and we have to solve that scientific problem too.
