A weird shift happening in AI research: people used to

A weird shift happening in AI research: people used to treat randomness and “noise” as something to eliminate, but now it’s increasingly part of how models explore ideas, generalize, and even stay monitorable. Feels similar to how early phone cameras got better not by removing every artifact, but by learning which imperfections actually helped produce a more useful result.