DeepSeek API Docs: Rate Limit

Lessons From Red Teaming 100 Generative AI Products New paper from Microsoft describing their top eight lessons learned red teaming (deliberately seeking security vulnerabilities in) 100 different generative AI models and products over the past few years. The Microsoft AI Red Team (AIRT) grew out of pre-existing red teaming initiatives at the...

Manual inspection of data has probably the highest value-to-prestige ratio of any activity in machine learning. — Greg Brockman, OpenAI, Feb 2023 Tags: machine-learning, openai, ai

[...] 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...