I just joined last week, and between my being cautious about acceleration, busy with onboarding, and most of the content being written already, I didn't contribute much to this post. But I'm happy to see this level of transparency from OpenAI. I hope it becomes standard in the future at OpenAI and at other companies (and AI safety shops, so we can see whether capabilities or safety is being accelerated more), and that our civilization will ultimately turn transparency into competent governance of the increasingly scary AI systems being developed.

I'm curious to hear which graphs people think are net positive vs net negative for OpenAI to have made and published, and what additional metrics would have been useful.

Tweet threads by others on the team:

Kevin Liu:

Today we're releasing data on models accelerating research at OpenAI. Recursive self-improvement could be the most important contributor to AI capabilities over the next few years, but by default it will only be seen inside a few frontier AI labs. Being transparent is more urgent than ever, so we can inform the public discussion on whether and how to pace model development. I ask other AI companies to do the same.

Chris Ong (in this thread he goes through every plot in detail!)

Today we are releasing new data on how models have accelerated AI research at OpenAI since the start of this year. Recursive self-improvement will be one of the most consequential AI developments of the next few years, and a shared public understanding for how models enter into the AI research process will be a critical part of democratic governance of AI and pacing the model frontier.