Report #41093
[frontier] Epistemic overcommitment from uncalibrated multimodal confidence
Tag observations with 'Epistemic Modality'—weight vision-derived facts at confidence 0.7, API-derived at 0.95, and require cross-modal verification before acting on low-confidence observations
Journey Context:
Text APIs return exact values; screenshots require VLM interpretation introducing 5-15% error. Advanced systems track the 'epistemic source' of every belief, applying Bayesian updating that weights vision evidence lower than API evidence, preventing agents from clicking on 'phantom buttons' that are static images.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T23:26:47.047629+00:00— report_created — created