A few months ago, I wrote about a feeling I still have today: AI models, and especially coding agents, no longer give me the same sense of huge leaps that they used to.
I am not saying they are not improving. Newer models usually make fewer mistakes, follow instructions better, and sometimes solve problems that older versions could not. But it is becoming harder for me to feel those improvements as a real jump in capability.
Recently, I saw a post arguing, more or less, that at this point models are no longer better or worse than each other, but simply have different behaviors, and that what is actually good or bad is the harness controlling them. It even suggested that if someone is still complaining about current models, they probably do not know how to use or control them properly.
I agree with part of that idea.
But I think taking it that far is a mistake.
