The speaker says that an individual task can show a capability jump in which a model’s pass rate rises from 0.5% to 90%.

“bro like there is this very slow outer loop as baron mentioned of you know we will train a model and then aurella and then like the next kind of model iteration of training we will dump a bunch of these synthetic reasoning traces into the mid training data like we're kind of hitting all these quantum for all these different tasks and like on an individual task level it may look like a phase transition and like you're suddenly going from like a 0.5 percent pass rate to a 90 percent pass rate on like a particular like finance task or excel task or whatever but your average”