It feels like we’ve skipped a step here. I want tech for developing my skills, increasing my capabilities. I want the meat to be at the limit of my/human capabilities before augmenting it with mech. We’re nowhere close on that front, there’s almost nothing like it.
With MetaPrompt, and similar approaches, I’m not asking the AI to autonomously tell me what to do, I’m mostly asking it to write code to mediate between me and my todo list. One way to think of it is that I’m arranging things to that I’m in both the human user seat and the AI assistant seat. I can file away nuggets of inspiration & get those nuggets served to me later when I’m looking for something to do. The AI assistant is still there, so I can ask it to do things for me if I want (and I do), but my experience with these various AI tools has been that things are going their best once I set the AI aside. I seem to find the AI to be a useful springboard, prepping the environment for me to work.
I agree with your sentiment that there isn’t enough tech for developing your skills, but I think AI can be a useful enabler to build such tech. What system do you want?
Something that facilitates practise. Most of the friction in learning for me is in figuring out how to aquire skills, what excercises to seek out, how to assess my own performance, how much more time/effort to put in. I’m sufficiently occupied with learning, that I’ve less resources to allocate to meta-problem of how to learn.
What would the solution look like? For mathematics, textbooks are almost ideal by themselves, however it’s difficult to assess one’s own performance, and the content never matches precisely with the uni course.
The software would schedule problems and content, grade user’s solutions and diagnose misunderstandings, track performance, adapt pace to user peformance/assessment schedule.
The hard part would be deciding from user data how to adapt difficulty, volume, frequency, to optimise learning. Quantify difficulty? Then to adapt all that to assessment schedule.
Real sci-fi would be generating problems to order according to difficulty. It almost seems like we’re there already, but I can’t quite tell.
It feels like we’ve skipped a step here. I want tech for developing my skills, increasing my capabilities. I want the meat to be at the limit of my/human capabilities before augmenting it with mech. We’re nowhere close on that front, there’s almost nothing like it.
Edit: or is there?
With MetaPrompt, and similar approaches, I’m not asking the AI to autonomously tell me what to do, I’m mostly asking it to write code to mediate between me and my todo list. One way to think of it is that I’m arranging things to that I’m in both the human user seat and the AI assistant seat. I can file away nuggets of inspiration & get those nuggets served to me later when I’m looking for something to do. The AI assistant is still there, so I can ask it to do things for me if I want (and I do), but my experience with these various AI tools has been that things are going their best once I set the AI aside. I seem to find the AI to be a useful springboard, prepping the environment for me to work.
I agree with your sentiment that there isn’t enough tech for developing your skills, but I think AI can be a useful enabler to build such tech. What system do you want?
Something that facilitates practise. Most of the friction in learning for me is in figuring out how to aquire skills, what excercises to seek out, how to assess my own performance, how much more time/effort to put in. I’m sufficiently occupied with learning, that I’ve less resources to allocate to meta-problem of how to learn.
What would the solution look like? For mathematics, textbooks are almost ideal by themselves, however it’s difficult to assess one’s own performance, and the content never matches precisely with the uni course.
The software would schedule problems and content, grade user’s solutions and diagnose misunderstandings, track performance, adapt pace to user peformance/assessment schedule.
The hard part would be deciding from user data how to adapt difficulty, volume, frequency, to optimise learning. Quantify difficulty? Then to adapt all that to assessment schedule.
Real sci-fi would be generating problems to order according to difficulty. It almost seems like we’re there already, but I can’t quite tell.