281–290 of 828 posts
Earlier quoted context omitted.
I've learnt Rust in 12 weeks with a study plan that ChatGPT designed for me, catering to my needs and encouraging me to take notes and write articles. This way of learning allowed me to publish https://rustaceo.es for Spanish speakers made from my own notes. I think the potential in this regard is limitless.
I learned Rust in a couple of weeks by reading the book.
I used to have to prompt it to do this everytime. This will be way easier!
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…
>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.
These things also apply to humans. A year or so ago I thought I’d finally learn more about the Israeli/Palestinians conflict. Turns out literally every source that was recommended to me by some reputable source was considered completely non-credible by another reputable one.
That said I’ve found ChatGPT to be quite good at math and programming and I can go pretty deep at both. I can definitely trip it into mistakes (eg it seems to use calculations to “intuit” its way around sometimes and you can find dev cases where the calls will lead it the wrong directions), but I also know enough to know how to keep it on rails.
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. 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…
>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.
Earlier quoted context omitted.
I've learnt Rust in 12 weeks with a study plan that ChatGPT designed for me, catering to my needs and encouraging me to take notes and write articles. This way of learning allowed me to publish https://rustaceo.es for Spanish speakers made from my own notes. I think the potential in this regard is limitless.
I learned Rust in a couple of weeks by reading the book.
Earlier quoted context omitted.
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…
These things are moving so quickly, but I teach a 2nd year combinatorics course, and about 3 months ago I tried th latest chatGPT and Deepseek -- they could answer very standard questions, but were wrong for more advanced questions, but often in quite subtle ways. I actually set a piece of homework "marking" chatGPT, which went well and students seemed to enjoy!