Quoting Greg Brockman

[...] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model. Every problem that an o1 solves is now a training data point for an o3 (eg. any o1 session which finally stumbles into the right answer can be refined to drop the dead ends and produce a clean transcript to train a more refined...

Datasette Public Office Hours Application We are running another Datasette Public Office Hours event on Discord tomorrow (Friday 17th January 2025) at 2pm Pacific / 5pm Eastern / 10pm GMT / more timezones here. The theme this time around is lightning talks - we're looking for 5-8 minute long talks from community members about projects they are...

Evolving GitHub Issues (public preview) GitHub just shipped the largest set of changes to GitHub Issues I can remember in a few years. As an Issues power-user this is directly relevant to me. The big new features are sub-issues, issue types and boolean operators in search. Sub-issues look to be a more robust formalization of the existing feature...

100x Defect Tolerance: How Cerebras Solved the Yield Problem I learned a bunch about how chip manufacture works from this piece where Cerebras reveal some notes about how they manufacture chips that are 56x physically larger than NVIDIA's H100. The key idea here is core redundancy: designing a chip such that if there are defects the end-product...

ChatGPT reveals the system prompt for ChatGPT Tasks OpenAI just started rolling out Scheduled tasks in ChatGPT, a new feature where you can say things like "Remind me to write the tests in five minutes" and ChatGPT will execute that prompt for you at the assigned time. I just tried it and the reminder came through as an email (sent via...