That's what I mean by continual learning, skills, memory are a crutch until real learning can happen, which could be weights changing in the local instance.
And my point is that weight changes are not likely to have the economic ROI for their justification on a person-by-person basis
What you are suggesting is a very expensive late-training phase activity. It's also not clear anymore when fine-tuning helps or hurts. Progress is rapid
I see, I misunderstood your original message. Given how much progress has been made without it, It's perhaps not necessary especially if the economics make it prohibitive.
Reading notes is only necessary because of how lossy human memory is. Reading notes doesn't give you new information, it just reinforces memory paths ... which will fade and you'll have to read the notes again later unless you frequently apply the knowledge, which again reinforces those paths (but lossily, so the bits of information not repeatedly used will fade, and you will again have to read the notes if you need those bits ... or just to re-mind yourself what they were).
Not even sure how you envision continuous learning, but if you mean model updates, I'm not sure the economics work out