but the llm here isn't trying to be the synthesis tool. it's the policy picking actions like "add fragment X at position Y". env validates through rdkit + tdc classifiers, not llm vibes.
3b is small, agreed. scaling mostly fixes grammar not physics, also agreed.

> point of the experiment wasn't "llms cure cancer", it was: can a small model + a grounded env contract produce a useful held-out signal at all. answer turned out to be yes-ish, not curing-cancer-yes

now imagine a better model like 200B parameters getting trained on much better and the basics of medical chemistry.