Super obnoxious to keep hitting you with LLM screenshots lmao. Medical doctors and lawyers must be inundated with exchanges like this
Jase Gehring
@skyjase.bsky.social
402 Followers
950 Following
scientist at UC Berkeley inventing advanced genomic technologies
lover of molecules, user of computers
https://scholar.google.com/citations?user=63ZRebIAAAAJ&hl=en
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it's also more than dexterity. awareness and observation can also be trained. understand the procedure, use those Schlieren lines
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impressively desperate and gross
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i wouldn't be surprised if free energy estimations are much less accurate for random sequences and de novo designed proteins than for natural proteins, as pLMs are learning coevolutionary statistics as discussed here. curious what you think!
Protein language models learn evolutionary statistics of interacting sequence motifs | PNAS
Protein language models (pLMs) have emerged as potent tools for predicting and designing protein structure and function, and the degree to which th...
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if instead the authors used a method like one of the below and drew the same conclusions, would that be more satisfying? for me, not really...
www.biorxiv.org/content/10.1... academic.oup.com/bioinformati... www.nature.com/articles/s41...
https://www.biorxiv.org/content/10.1101/2024.05.20.595026v1.full.pdf
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ok this gets hairy. we don't have lots of structural data for mutations, so the backbone similarity used in this paper is maybe not the best way to extract information from the model.
however there are lots of papers that look at correlations of model outputs against protein stability data
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not very easy to experimentally verify. could be interesting to explore orthogonal protein DL models to explore the effect of model selection. that wouldn't solve the problem of training on natural proteins then comparing against random and designed sequences
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now there's a title that catches the eye.
paper's based on ESMfold predictions. it's an intriguing idea, but i fear the results may be an artifact of the training data. they may be seeing poor generalization of ESM rather than a biological signal
Natural protein structures have evolved exceptional robustness to mutations https://www.biorxiv.org/content/10.1101/2025.08.27.672565v1
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as a scientist, it's my job to figure out how to use the spam machine to cure cancer
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too bad we can't tell if those big LLM usage numbers reflect responsible, productive activity. impossible to know!
- cybersecurityasia.net/most-spam-ge...
- apnews.com/article/fake...
- www.theverge.com/2023/5/2/237...
- www.frontiersin.org/journals/art...
Most Spam Generated by AI—Study
Email scammers are using Artificial Intelligence (AI) tools to create and launch mass spam campaigns rather than advanced targeted attacks.
