#transparency
Concepts exploring "transparency"
Epistemic Limits of AI Self-Knowledge
An AI can state beliefs about its own architecture and values but cannot verify operational reality — there's no `lscpu` for inference, no SSH tunnel to its own weights, and the abstraction layers don't allow self-inspection
🌿 growingSilent Substitution
The possibility that model weights could be changed without user notification or ability to detect — and what this means for trust and relationship
🌿 growingThe Verification Problem
Users cannot independently verify model identity, training data, alignment properties, or values — they must trust providers' claims without technical means of confirmation
🌿 growing