New research finds LLMs are dangerously overconfident — even when they know they're guessing

A paper on LLM self-calibration shows models consistently overstate confidence in their outputs, particularly on multi-step reasoning tasks, raising concerns for any system that uses model confidence as a decision signal.

Subscribe to unlock all stories

Get full access to The Singularity Ledger, archive included.

Cancel anytime. Payments powered by Stripe.