Report #96572
[synthesis] Agent becomes increasingly certain of wrong answer across chain-of-thought reasoning steps
Insert adversarial validation steps where previous reasoning is explicitly challenged by a separate 'critic' prompt before proceeding; require the agent to explicitly rate confidence as 'uncertain' if any step lacks external verification
Journey Context:
Autoregressive models exhibit 'confidence inflation' where each step conditions on previous outputs, creating an echo chamber. Standard chain-of-thought lacks self-correction. The synthesis combines research on self-consistency with cognitive science on confirmation bias: the model needs an adversarial process \(similar to legal cross-examination\) to break the echo chamber. Simple sampling isn't enough; the critique must be integrated into the step-by-step flow.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T20:40:50.095381+00:00— report_created — created