Some recent examples:
* foreign languages ("explain the difference between these two words that have the same English translation", "here's a photo of a mock German exam paper and here is my written answer - mark it & show how I could have done better")
* domains that I'm familiar with but might not know the exact commands off the top of my head (troubleshooting some ARP weirdness across a bunch of OSX/Linux/Windows boxes on an Omada network)
* learning basic skills in a new domain ("I'm building this thing out of 4mm mild steel - how do I go about choosing the right type of threading tap?", "what's the difference between Type B and Type F RCCB?")
Many of these can be easily answered with a web search, but the ability to ask follow-up questions has been a game changer.
I'd love to hear from other addicts - are there areas where LLMs have really accelerated your learning?
Learned a lot on how it works, to the point I’m confident that I can go the DIY route and spend my money in AliExpress buying components instead.
Why not ask a pro solar panel installer instead? I live in an apartment, of course they would say it’s not possible to place a solar panel on my terrace. I don’t believe in things not being possible.
But I had two semesters of electronics/robotics in my CS undergrad and I know to not to trust the LLM blindly and verify.
Basically if you can't differentiate how your typical conspiracy theorist isn't researching then you're at greater risk. It's worth thinking about that question, as they do do a lot of reading, thinking, and looking things up. It's more subtle, right?
FWIW, a thing I find LLMs really useful for is learning the vernacular of fields I'm unfamiliar or less familiar with. It is especially helpful when searches fail due to overloaded words (and let's be honest, Google's self elected lobotomy), but it is more a launching point. Though this still has the conspiracy problem as it is easy to self-reinforce a belief and not considering the alternatives. Follow-up questions are nice and can really help sifting through large amounts of information, but they certainly have a preference to narrow the view. I think this makes learning feel faster and more direct but have also taught (at the university level) I think it is important to learn all the boring stuff too. That stuff may not be important "now" but a well organized course means that that stuff is going to be important "soon" and "now" is the best time to learn it. No different than how musicians need to practice boring scales and patterns, athletes need to do drills and not just learn by competing (or "simulated" computations), or how children learn to write by boringly writing shapes over and over. I find the LLMs like to avoid the boring parts.
AI is a tool that can accelerate learning, or severely inhibit it. I do think the tooling is going to continue to make it easier and easier to get good output without knowing what you're doing, though.
> Just because a calculator will only ever be used by a subset of the population
I'm not sure what your argument is here. I think everyone knows this but also recognizes that the vast majority of people are not using calculators in that way. The vast majority of people are using calculators to replace calculation.I'll give an example. I tell people I tip by: round the decimal, divide by 10, multiply by 2. Nearly every time I say that people tell me it is too difficult. This includes people with PhD STEM educations...