DeepMind closed AlphaFold, so @gcorso.bsky.social + Jeremy Wohlwend built Boltz. Now its the preferred solution for many scientists. They have succeeded with open weights because they focused on community. Now they're launching a new PBC. What do you use Boltz for? Links 👇

Tired of creating a new notebook and writing AnnData/pandas/numpy/??? just to peek at a H5AD file? Me too! So I created a DuckDB extension that can read AnnData files.

Working with a large set of AnnData files on S3 is tough if you don't have the metadata indexed, so I created a tool to help. github.com/honicky/annd... It uses partial downloads to dramatically speed up extracting the metadata without downloading the whole file. `pip install anndata-metadata`

I promised to explain how you can build your very own, custom GenePT embeddings. Here's another Lab Note: learning-exhaust.hashnode.dev/lab-notes-cu... Enjoy!

Bio data is amazing!!! Don't be intimidated! learning-exhaust.hashnode.dev/lab-notes-co...

Data products often scale cost like hardware, iterate like software, and scale performance like... data products. learning-exhaust.hashnode.dev/data-product...

Oh man, writing up the Cerebras paper on Weight Streaming was a rabbit hole filled with parallel algorithms. learning-exhaust.hashnode.dev/one-thing-i-... @picocreator.bsky.social @eugeneyan.com @swyx.io @latentspacepod.bsky.social

First post to bsky: I've been trying to post a bit more frequently and in smaller bites, so I'm going to try to pick one interesting thing I've learned from papers I read, and then write a quick post about them. Here's my first one: learning-exhaust.hashnode.dev/one-thing-i-...