Overfitting on what?

from the way I saw how Jev functions it takes an unstructured state, a question and then gives us a probabilistic output, then u get primitives such as true/false and bounded scoring. what I see may happen in this case is largely on task family conditioning, there might be a problem where it recognizes the task as a familiar category and it retrieves learned defaults during training, so when you get rather vague prompts, which usually users will give vague prompts from time to time the prior is likely going to the highest weighted occurence. so one of the weaknesses I might see is regarding on very ambiguous task framings, and priors being more conditioned on that. that is something I thought of quite fast when I saw this frame in the video