The Pythagoras theorem doesn’t change even if you use an LLM. Fundamentals shouldn’t either. Don’t see why schools should see this any differently.
The Pythagoras theorem doesn’t change even if you use an LLM. Fundamentals shouldn’t either. Don’t see why schools should see this any differently.
> The Pythagoras theorem doesn’t change even if you use an LLM.
Indeed. But it does change if you want an answer on a non-Euclidian surface, e.g. big scale things on the surface of Earth where questions like "what's a square?" don't get the common-sense answer you may expect them to have.
I bring this up because one of my earlier tests of AI models is how well they can deal with this, and it took a few years before I got even one correct answer to my non-Euclidian problem, and even then the model only got it correct by importing a python library into a code interpreter that did this part of the work on behalf of the model.
I agree. That's why universities should never teach any practical real world programming languages. They should stick to Scheme and MMIX.
I don't mind Scheme - love it. But MMIX is one heck of a convoluted, "fantasy-alien" assembly language that I cannot stand. Gave up reading TAOCP because of it. Knuth should have stuck to pseudo-code or plain C.
Not sure if that's sarcasm or not, but when I was in uni (late 90s), it was C++, which was very much a practical real-world language. There was a bit of JavaScript and web stuff, but not much (but Javascript was only 4 years old when I was a senior, so...).