It’s can’t be that hard to generate — it’s a linear character sequence just like text — and there’s gigabytes of public domain training data literally floating around us
It’s can’t be that hard to generate — it’s a linear character sequence just like text — and there’s gigabytes of public domain training data literally floating around us
If you’re looking to make fun of AI slop, this isn’t really the community for that. Solarpunk is about looking at the good that is possible rather than critique without substitute.
AI (transformer model) protein folding prediction is more accurate, cheaper, and faster than any other method. Like how genAI converts between text and image, these models convert between DNA and protein.
It’s often used in medical and GMO applications to see how genetic differences can cause proteins to be shaped differently, thus causing them to function differently. An enzyme might not enzyme the reaction it does in most people, or it might enzyme that reaction and a different one, etc.
Making predictions about how that different protein shape affects cellular, let alone physiological differences, is not something AI excels at compared to other methods. But it seems likely there are already GMOs that have DNA sequences that were checked by AI.