You've described school. You get told about things and given a hammer to leverage what you've been told.
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.
> An LLM absolutely shortens the research part of learning
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.
If I ask my buddy for help, I don't cross reference everything he says either even though he could just as easily be wrong. A lot of what I'm talking about is every day stuff not nuclear physics.
If I ask my buddy for help I'm not considering that part of research or learning I consider that leaning on their potential expertise. You're not learning shit on how to build a house just because you ask your friend to build one for you.
If we're talking about research as in actually attempting to learn and get to the heart of a matter then yes. You should be cross referencing everything.
And I see people say this, that they've built a house but what they've built is something that structurally collapses immediately and fails due to problems that even an average person would've avoided had they learned how to build a house.
So did you build a house, or did you build a house?
Time helps to some degree, but I've worked with professionals who've earned a living for 30+ years, enjoy strong reputations among their peers, and who absolutely do not know what they're doing.
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.