
Protein language models are overly constrained by covariation
Why good performance on one set of goals can lead to poor performance on another
Genes, Minds, Machines: Thoughts about Science, Communication, and AI. A newsletter covering topics in biology, data visualization, effective communication, AI, and higher education.
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Why good performance on one set of goals can lead to poor performance on another

You don't need to understand error bars. You just need to draw them.
The kids in Thailand are alright.

I thought we do science here, not fiction or romance

Zero-shot predictions are great, except for when it matters

If people knew how to tell a story they wouldn't need the advice in the first place

Google is never going to fix this bug, are they?

There was a discussion recently on Bluesky about reproducible data analysis pipelines.

Biology is hard. Yes, even for AI.

AI alignment will likely require creating AIs with genuine empathy

It may be a good language for data science, but it’s not a great one.

It may be a good language for data science, but it’s not a great one.

My explanation for the mystery of why LLMs can be both exceptionally good and quite terrible at programming.

A few days ago I broke 1000 subscribers here on Substack.

Your first mistake was assuming people actually understand how random numbers work.

Figuratively. More likely you'll get a stern talking to.

No thesis proposal has ever been critizied for lack of ambition

Biology is hard. Yes, even for AI.

This is my second post about the NSF GRFP.

The personal statement can make or break your application.