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Study mode

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Re: Study mode

#152
post #71

Earlier quoted context omitted.

>Now, everyone basically has a personal TA, ready to go at all hours of the day This simply hasn't been my experience. Its too shallow. The deeper I go, the less it seems to be useful. This happens quick for me. Also, god forbid you're researching a complex and possibly controversial subject and you want it to find reputable sources or particularly academic ones.

I've found it excels at some things: 1) The broad overview of a topic 2) When I have a vague idea, it helps me narrow down the correct terminology for it 3) Providing examples of a particular category ("are there any examples of where v1 in the visual cortex develops in a disordered way?") 4) "Tell me the canonical textbooks in field X" 5) Posing math exercises 6) Free form branching--while talking about one topic, I…

I’ve found the AI is particularly good at explaining AI, better than quite a lot of other coding tasks.

Re: Study mode

#153
post #26

I'll personally attest: LLM's have been absolutely incredible to self learn new things post graduation. It used to be that if you got stuck on a concept, you're basically screwed. Unless it was common enough to show up in a well formed question on stack exchange, it was pretty much impossible, and the only thing you can really do is keep paving forward and hope at some point, it'll make sense to you. Now, everyone ba…

> It used to be that if you got stuck on a concept, you're basically screwed No, not really. > Unless it was common enough to show up in a well formed question on stack exchange, it was pretty much impossible, and the only thing you can really do is keep paving forward and hope at some point, it'll make sense to you. Your experience isn't universal. Some students learned how to do research in school.

Like a car can be "beyond economical repair", a problem can be not worth the time (and uncertainty) or fixing. Especially from subjective judgement with incomplete information etc

Re: Study mode

#154
post #26

I'll personally attest: LLM's have been absolutely incredible to self learn new things post graduation. It used to be that if you got stuck on a concept, you're basically screwed. Unless it was common enough to show up in a well formed question on stack exchange, it was pretty much impossible, and the only thing you can really do is keep paving forward and hope at some point, it'll make sense to you. Now, everyone ba…

how are you checking its correctness if you're learning the topic?

The same way you check if you learn in any other ways? Cross referencing, asking online, trying it out, etc.

Re: Study mode

#155
post #135

Is that not something that was already possible with basically every AI provider by prompting it to develop learning steps and not to provide you with a direct answer? I've used this quite a bit when learning new topics and pretty much every provider does this without a specialized model.

It's really nice to have something like this baked in. I can see this being handy if it's connected to external learning resources / sites to have a more focused area of search for it's answers. Having hard defined walls in the system prompt to prevent just asking for the answer seems pretty handy to me, particularly in a school setting.

Re: Study mode

#156
post #26

I'll personally attest: LLM's have been absolutely incredible to self learn new things post graduation. It used to be that if you got stuck on a concept, you're basically screwed. Unless it was common enough to show up in a well formed question on stack exchange, it was pretty much impossible, and the only thing you can really do is keep paving forward and hope at some point, it'll make sense to you. Now, everyone ba…

I use it to refresh some engineering maths I have forgotten (ODE, numerical schemas, solving linear equations, data sciences algorithms, etc) and the explanations are most of the time great and usually 2 or 3 prompts give me a good overview and explain the tricky details.

I also use it to remember some python stuff. In rust, it is less good: makes mistakes.

In those two domains, at that level, it's really good.

It could help students I think.

Re: Study mode

#157
post #53
post #26

I'll personally attest: LLM's have been absolutely incredible to self learn new things post graduation. It used to be that if you got stuck on a concept, you're basically screwed. Unless it was common enough to show up in a well formed question on stack exchange, it was pretty much impossible, and the only thing you can really do is keep paving forward and hope at some point, it'll make sense to you. Now, everyone ba…

> I'll personally attest: LLM's have been absolutely incredible to self learn new things post graduation. How do you know when it's bullshitting you though?

When you Google the new term it gives you and you get good results, you know it wasn't made up.

Since when was it acceptable to only ever look at a single source?

Re: Study mode

#159
I have a question:

Why do we even bother to learn if AI is going to solve everything for us?

If the promised and fabled AGI is about to approach, what is the incentive or learning to deal with these small problems?

Could someone enlighten me? What is the value of knowledge work?

Re: Study mode

#160
post #57

Earlier quoted context omitted.

LLM's are useful because they can recommend several famous/well-known books (or even chapters of books) that are relevant to a particular topic. Then you can also use the LLM to illuminate the inevitable points of confusion and shortcomings in those books while you're reading and synthesizing them. Pre-LLM, even finding the ~5 textbooks with ~3 chapters each that decently covered the material I want was itself a nont…

> they can recommend several famous/well-known books They can recommend many unknown books as well, as language models are known to reference resources that do not exist.

And then when you don't find it, you move onto the next book. Problem solved!
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