Genes, Minds, Machines
Claus WilkeGenes, Minds, Machines: Thoughts about Science, Communication, and AI. A newsletter covering topics in biology, data visualization, effective communication, AI, and higher education.
| Platform |  | Pricing | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 47 | Founded | a year ago | Last Issue | 18 days ago |
| Active | |||||
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blog.genesmindsmachines.comLatest Issues
Protein language models are overly constrained by covariation
By many measures, protein language models (pLMs) perform exceptionally well at various tasks in protein research. They are great for homology search, functional classification, and even contact prediction. They can also be useful in evaluat...
The error bar cargo cult
If you’re an experimental scientist and you dare to visualize your results without showing error bars you’ll immediately get challenged. “Can you show some error bars please?” “Did you do any replicates?” “Is the result significant?” But ad...
Nene Royal—A generational talent
The people of the internet are losing their mind over a 16 year-old girl from Thailand, Nene Royal, whose audition for America’s Got Talent was aired on July 7, 2026. If I told you a meek young girl from Thailand wowed the audience by singi...
If the work is good why does it need a story?
I recently wrote about how to present research or other technical work by telling a story. This is a topic dear to my heart. I teach this material in my undergraduate and graduate classes, and I have given countless presentations on the top...
How useful are zero-shot predictions of mutational effects?
When you read papers about AI models for zero-shot fitness predictions,1 you generally get the sense that these predictions work quite well. Correlations between measured fitness effects and zero-shot predictions tend to be high. Systematic...
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Science, Communication, AI
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