🤖 LLMs cannot objectively assess their own confidence
Justin Flick argues that using LLMs to generate their own confidence scores is scientifically invalid. Instead of real calibration, such metrics create only an illusion of reliability.
🌍 AI service developers must realize that adding a confidence field to a model's JSON response does not increase its actual accuracy.
👤 One should not trust "confidence" numbers in neural network responses if they are not backed by deep technical calibration.
Source 1: https://justinflick.com/2026/07/27/llm-confidence-scores.html