Good news everybody! Readme and logo remains free to fork and build on. I guess the open to closed source switcheroos are kicking in at inference speeds now too.
@richardartoul pretty good for smaller one-offs and getting context that _I_ need for a review or RFC though. might be about the "scale" of the codebase one works on. generally I enjoy using LLMs for retrieval + discovery, not so much for synthesis and "coverage + correctness" problems
@richardartoul it could be me holding it wrong ยฏ\_ (ใ)_/ยฏ. won't fit in a tweet but I run into a lot of "confidently incorrect" / "missing the forest for the trees" type comments that lead to "no, not like that, what I mean is..." reviewer friction + burden
HE HAS RETURNED TO OPEN SOURCE DEVELOPMENT LET'S FREAKING GOOOOO
https://t.co/y1jlQbJvsw
Great person to follow if you're looking for project inspo. He's always building fun stuff.
Itโs estimated that the Protein Data Bank (PDB) cost around $13B to create. Alphafold was only possible because of it. If we want ML to solve biology, we should be funding the creation of databases and the development of new assay technologies. ML is nothing without data.
Some of you guys are alright. Don't be alive on May 15, 2026, when I set off the global pandemic which shall come to be referred to by the struggling, tormented survivors as "The Event".