Truth Adversarial Validation — pre-output epistemic gate for RLHF-trained language models. AI Safety research. Post-disclosure release.
-
Updated
May 17, 2026
Truth Adversarial Validation — pre-output epistemic gate for RLHF-trained language models. AI Safety research. Post-disclosure release.
Reflexive case study of artifact inflation, epistemic grounding failure, and claim-boundary control in non-expert AI-assisted research.
Add a description, image, and links to the epistemic-grounding topic page so that developers can more easily learn about it.
To associate your repository with the epistemic-grounding topic, visit your repo's landing page and select "manage topics."