manfromchina1

It wasnt like that several months ago. It and then-GPT suddenly swapped personalities. GPT has loosened up considerably and now makes more mistakes while Claude has become what it is while also smarter.

Does anyone have to understand AI output when it comes to math? Then that someone has to be trained in math. Yeah, for all intents and purposes that person is a mathematician. Maybe not the one who gets money for that in which case they are not a professional mathematician. Maybe these paid guys will disappear. However if AI keeps churning out new stuff nobody understands humanity will have to create a new category of employment for those who do to make sense of all that. Mathematicians, then, are back in the game again.

One possibility is that AI keeps churning out new math and funnels it into other branches of science and engineering without any human input. At which point math becomes a black box. Maybe in that case human mathematicians might become obsolete. But then other branches will start becoming incomprehensible as well.

> Sometimes I’ll have an argument that goes A->B->C, and the model will suggest I reorder as B->A->C. If I try that and feed it into a new instance of the same model, it’ll sometimes say “that’s great, but I suggest ordering it as A->B->C”, and so on forever.

Sonnet 5 acts like that currently. GPT used to be like that, but it looks like they shaved off that unnecessary behavior somehow. But GPT is now also kind of lazy and pretends like it has done its research when it hasnt.

Why not? We still have to learn how to write. AI is much better at it than the average guy anyway. It can do any style in most any language. No human on Earth is capable of that.

You want to learn programming in C. Pick up Linux skills. Read CS:APP by Bryant / O'Hallaron and OSTEP by the Arpaci-Dusseau. Should be a good basis for kernel hacking.

I personally don't get this attitude. For one thing, nobody on earth can give you a 500-word summary of quantum physics in a way that lets you internalize even a tiny bit of it. That's not how you learn anything.

Here's how I do it: I open Baby Rudin (3rd ed.), second chapter, and read the main text - absolute brutality. I unpack almost every sentence with Claude/GPT until I finally get what's going on. No ELI5 nonsense, just examples and counterexamples galore while absorbing the techniques and the way of thinking in analysis/topology. How do I know I've learned the material? By solving every single problem in that chapter. Here's the thing, though: the problems in Rudin can be brutal and decoupled from what's in the text, so if you can handle them, you've definitely mastered the material. No 500-word summary of analysis here.

What kind of bidness?

It does, but it also sounds like one of the older GPTs - much higher and sturdier guardrails now. While do I also get the sense that GPT has loosened up a little?

Depends on what kind of profs.Those who teach low level systems stuff absolutely need you to be able to program in C or something similar. On the theoretical side you can kinda sorta get away with very strong math skills. You open CLRS - it just gives you a pseudocode, you do efficiency/correctness analysis on it and forward you go. Then open an Automata book and realize it's all math all the way down. Not a lot of math either.

Kernel programming still resists AI so C and assembly arent going anywhere.

I rarely go to the front page.

27 is a Tao prime. Terence Tao suggested 27 was a prime number on The Colbert Report in 2014. He was likely very nervous.

Kernel Hacking. Human judgement here is still required and irreplaceable. For fast employment - Non Destructive Testing.

Keep studying physics, though. Go up to modern Solid State physics for a possibility of entering industries that revolve around chip production.

How far along are you? You could finish your phd, then get a two year diploma in mechatronics, electrical eng, instrumentation. All near future proof and apparently pay well enough. You could even cert up in NDT, IRATA, ROV and that sort of thing. With your phd you'd get your foot in the door pretty easily.