Bioinformatics data is messy. Here’s the nightmare that almost broke me 🧵👇

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Three things people call bugs in LLMs. They are features. If you use AI tools for real work and you do not understand this, you will get burned.

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1/ AI won’t save your bioinformatics pipeline if your metadata is a mess. You can’t model what you don’t understand. Let’s talk about the real bottleneck in public data: metadata. 🧵

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Someone asks me every other week if AI is going to replace bioinformaticians. A new npj Digital Medicine paper finally said what I have been telling them for two years.

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Last night, off the back of this article by @virginiagewin.bsky.social, I zoomed with a scientist who was looking for new opportunities, having taken the decision to leave academia. We told our stories and I shared some guidance. Articles like this are important. www.nature.com/articles/d41...

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