trio8453

I get that it's disruptive to mathematicians but I'm also wondering what people would have OpenAI do differently -

1. Not train models to get better on certain verifiable tasks like math proofs?

2. Train models to get better, produce groundbreaking proofs and keep the results private?

3. ?

Hacker News really living up to its name these past few days.

Kind of insane how much of the front page is about security compromises today.

It's a valuable pattern because a lot of communication is about drawing distinctions and making delineations. Saying what a thing isn't (despite being close to it) gives you a more clear understanding of what it is.

I wouldn't put too much emphasis on pre-training data, there are so many steps afterwards in modern LLM development that completely change the output. Generally, if you're looking at LLM output in 2026 and thinking something along the lines of "this must be what humans were doing with their language in the training data", you need to pause and reconsider, because modern LLMs are much more than machines which repeat what was in the training data.

I'm not disagreeing with you - I give agents a lot of input and spend a lot of time iterating with them before I'm happy with the result. My point was only that I don't think that I'm somehow superior in design patterns or any other general part of coding just because I happen to be human or because I have years of experience.

I course-correct it all the time too, my point was only that I don't exclude it from the initial design.

I'm not the one who's claiming to be above the latest models in some aspect of coding in this interaction.

> I don't think you can deny that the current generation of models makes questionable decisions sometimes

Sometimes, not enough to believe you that you can do it better. And even if you could, to believe that it's overall worth it to work in that way.

The LLMs know design principles too, being an experienced developer doesn't make you as special as you might think.

Rust is quite complicated but people like it a lot. Python too in a way - it's quite large and complicated but it exposes the complexity in a very gradual way and you can ignore so much of the language and still get things done.

I agree with you about simple languages though. I really like Go - the "there should be only one way to do things" from the Zen of Python actually applies to Go in a way that it doesn't apply to Python at all.

Being anti AI doesn't keep your job around for longer though.

Your particular case is very uphill - there aren't that many people or companies that do this, very limited number of openings, you have no relevant experience, not in the pipeline for internships. Learning about databases and doing a bit of C++ and Rust is worth just about nothing in terms of helping you for these jobs.

Keep it up as a hobby, find open source projects in which you can make meaningful contributions (that alone can be very hard), spend years in it, then maybe you'll have a better shot - whether all of that's worth it is for you to decide.

If I were you, I'd reconsider why you even want this in the first place.

Asking as a non-JS person - what's the cost and effort to switch?