The speaker says that as models improve, examples may over-constrain them, so learning when to remove those constraints is part of the process.

“That's right. That's exactly right. Yeah. Yeah. And then, and then of course, there's, uh, interesting AI learnings to follow out of that, which is why, you know, as the models get better, when are you over-constraining it by adding those examples, right?”

“... pull away the over-constraining? Uh, and that's, I think, part of the learning as well.”