I have been very pleased with the results so far. I was able to tune the tutorial to exactly what I want to learn, and it did a very good job (at least that i have seen so far). It has made learning fun, since I get to learn exactly what I want, and I can ask the AI questions and have it make changes to the tutorial in real time as i am working through it.
Now, will I keep using this at a rate to fully offset all of the thinking i have stopped doing since i started using AI? I am not sure, I guess time will tell.
i could not get through the hurdles of installing an IDE and js/python modules before.
now i am learning basic scripting and data modeling etc.
it is phenomenal for learning languages.
i built a chicken coop and some furniture. the skills and confidence i gained are real. am i failing to learn certain skills in the process? of course. but I'm getting further then i would on my own, and that is truly meaningful.
you can keep dismissing it; but I'm genuinely using it to break down barriers, give me confidence, and highlight my ignorance in very productive ways.
i find it bizarre how unwilling some people are to recognize that.
You want us to believe you couldn't overcome the puddle-deep challenge of installing an IDE and using Pip or Node in the past, but now you're actually learning how to write functions?
Cool for you if true I guess but I'm pretty seriously skeptical
For example I am following Dirac's book "The Principles of quantum mechanics" to study QM. Pre-AI wouldn't have been able to do so, I am just that dumb. Even with AI its tough. but the thing is I can keep asking questions until I get that concept drilled in. Now I am doing it at a pace that's unfathomable to me.
But now that I am getting to grips with QM, I can get to things that I am really interested to learn like spin resonance and so on. This is something I am so grateful for.
Now it can be questioned that is it making me wise, intelligent or just "giving me answers" that I should strive to discover myself. I dont know the answer to that. But studying what I want, how I want and not getting judged is something i deeply enjoy. Srry the comment might have taken some tangents.
Why exactly wouldn’t you be able to learn pre-AI?
You aren't learning anything. Learning involves doing.
We've known this for ages: simply reading a maths book without drilling on the problems will not get a student to pass.
Best case scenario, you're reading stuff. For users of coding agents, they're not even doing that.
You can have it write a program that generates drills for you.
I wanted to become better at reading sheet music so I generated a sheet music reading program. You can have it generate maths drills, then ask questions about it if you get stuck or whatever. If you genuinely want to get better at something then AI will help you learn it faster. Obviously its going to hamper more people's cognitive ability that it will enhance but that is a separate problem.
I actually did have an LLM ingest some material and generate drills. It worked well. It's rare that happens, though.
The difference between humans and other animals on the planet had always been the ability to reason. If we, as a species, lose that ability, we're looking at an extinction-level event.
For example: AI has helped me get into restoring retro tech, specifically resoldering leaky caps on retro Macintosh logic boards. Before AI, I didn't know how to use a multimeter (I knew theoretically how it worked), I didn't know how to use flux, solder wick, heat gun. I also didn't understand how bromine radicals yellowed plastic and how to reverse it by using blue light similar to what they use for indoor aquariums.
So AI unlocked doing for me.
I don't quite follow how AI unlocked any of that?
The best way to learn these things (well, second to a human coach who has the expertise and has time to guide you) is from youtube videos, not AI.
You're happy using AI instead of other material because it will constantly tell you how brilliant you are, or how quick you're learning.
But it's not the only way to learn and not even the only way to do a lot of forced recall.
It's downright crazy to say you aren't learning anything by reading. You likely won't retain that high a % of the content without repeated drilling, but it's not like nonfiction exists for no reason!
How much of a nonfiction book can you recall a few months after reading it? Probably very little.
However, I haven't taken a calculus class in nearly a decade and I still know how to solve derivatives and integrals.
Point being: there's levels to this, and reading is not nearly as effective as drilling exercises.
Without doing you may as well read some fiction. The result is mostly the same.
LLMs are sycophants, and in long conversations, their sycophancy produces a positive feedback loop: the context window contains affirmations of incorrect interpretations / analogies, so the chatbot continues down that path because, well, that's the most likely completion of previous text. And before you know it, you're discovering the hidden fabric of the universe, which is always some Minkowski fractal spacetime tensor lattice manifold with subharmonic DNA nanotubes.
That is to say, unless you have a robust way to evaluate what you're learning, and to confirm that you're actually learning, I'd tread carefully.
That is my point: an LLM can be great if you know the field and can spot errors. Or, to a lesser extent, if you have some automatic feedback loop that the model can't easily game ("does this code pass unit tests?"). It's a lot less great if there's a risk that you won't detect the early drift.
Learning requires a huge time investment. Using an LLM doesn't shorten that.
An LLM absolutely shortens the research part of learning. If I had a human of who had a moderate level of skill who would endlessly answer all my questions, the result would be the same.
You might have a point when it comes to software development because the AI can tell you things but it also just do them for you, at which point, you've learned a lot less. But for non-software things I have to learn things so I can then go and do them.
But even for software development, I've learned a lot of esoteric crap to get interop working on projects that I will probably quickly forget just the same as when I had to spend hours skimming through stackoverflow.
No, it doesn't. Because in any scenario where you are using AI in a potentially appropriate manner, you are verifying every single source it spits out and cross referencing everything it says. If you do not do this you are failing the process entirely.
In another case I follow a bodybuilding cutting regimen and it helps me create and track recipes consistent with my diet plan and macro guidelines. It helps me also create tasty recipes that fit my criteria based on the ingredients I have on hand.
Those are just 2 examples.
I also recently built a backyard jib setup with a platform, ramp, PVC jib rail for snowboarding, and it helped me architect the design for it.
I've wildly increased my breadth of learning. If I'm ever curious about anything, even a passing thought, I can scratch that itch in a way I never could before.
But am I going deep? Acquiring new skills? Eh... I usually go far enough to unblock myself and/or settle a curiosity. I don't think that's good or bad, but it does present a certain set of tradeoffs that are different than going deep.
Are you learning, or are you simply consuming?
I think we're missing long form studies that show if it's possible to learn deeply from compressed AI generated summaries of topics.