a crazy idea: the fact that most (if not close to all) models, papers, are all going to be obsolete in a few years

even though they feel so new today

creating and destroying; built flying cars & autonomous vehicles, now building /faust, more here: /july, web: july.rocks

I mean, if you've been in the space for a while (20+ years for me) you've seen it all over and over. I remember in the late 90s, wavelets where the thing for image processing. And now most people probably have never even heard that term.

Computational biologist, data scientist, digital artist | 
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What advanced research has you most excited in computational biology?

I'm very excited about the application of large language models to problems of biochemistry. There are so many novel applications. For example:

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I'm very excited about the application of large language models to problems of biochemistry. There are so many novel applications. For example: https://www.biorxiv.org/content/10.1101/2023.11.15.567263v1.abstract

And also this one. This one is particularly nice because Chamath on the All-In podcast said (a few months ago) that if a machine learning model could ever do something like this it'd be the downfall of civilization. 😉

And also this one. This one is particularly nice because Chamath on the All-In podcast said (a few months ago) that if a machine learning model could ever do something like this it'd be the downfall of civilization. 😉 
https://www.sciencedirect.com/science/article/pii/S2666389923002490

The reality is always more boring though. We just found that with clever prompt engineering we can recognize molecules with similar functions that don't have immediate obvious similarity in chemical structure.

Interesting. Sounds like I have to read it!