

The bigger paid models or potentially the local ones if given access to search the web can probably get you the right answers. The big ones have pretty much memorized half the internet, but can still be wrong so pushing them to verify their answers.
But the harder part is trusting what they say regardless. I can’t just take an answer for truth, and unless I can verify the statement (fact checking myself, looking up the source, running/testing the code, etc) then it gets harder to do anything with AI. This is the thing I hate about AI in general, people just take whatever they say at face value. Lawyers with fake citations, random people asking chatgpt about random facts and such. Its a tool that people put too much faith in to do thinking for them.








I support knowing SIMD, but I think it’s worth mentioning that with good design depending on language and compiler you can get SIMD for free by auto vectorization.
At least Rust does this, and let’s you get away not touching explicit SIMD at all. It’s of course more fragile since you don’t always know if it’s done or not, and they can be skipped for minor changes in code and a, but with good loop hygiene you’ll get a lot of it for free.
For truly fast implementations though, handmade SIMDis usually better and faster if done correctly. And can do much more than auto vectorization can.