throw83288

When I say 10 years I say that I've probably wanted to work in this field since maybe 10. Computing is my autistic hyperfixation. This is why I'm so frustrated.

I think what's missing is that the amount of training data to effectively RL usually decreases over time. AlphaGo needed some initial data on good games of Go to then recursively improve via RL. Fast forward a few years, and AlphaZero doesn't need any data to recursively improve.

This is what I mean by generalization skills. You need trillions of lines of code to RL a model into a good SWE right now, but as the models grow more capable you will probably need less and less. Eventually we may hit the point where a large corporations internal data in any department is enough to RL into competence, and then it frankly doesn't matter for any field once individual conglomerates can start the flywheel.

This isn't an absurdity. Man can "RL" itself into competence in a single semester of material, a laughably small amount of training data compared to an LLM.

I would love to make "side revenue", but frankly I am awful at practical idea generation. I'm not a founder type I think, maybe a technical co-founder I guess.

Not enough resources to get another bachelors, and a masters is probably practically worthless for a pivot. I would have to throw away the past 10 years of my life, start from scratch, with zero ideas for any real skill-developing projects since I'm not interested at all. Probably a completely non-viable candidate in anything I would choose. Maybe only Robotics would work, and that's probably going to be solved quickly because:

You assume nothing LLMs do are actually generalization. Once Field X is eaten the labs will pivot and use the generalization skills developed to blow out Field Y to make the next earnings report. I think at this current 10x/yr capability curve (Read: 2 years -> 100x 4 years -> 10000x) I'll get screwed no matter what is chosen. Especially the ones in proximity to computing, which makes anything in which coding is secondary fruitless. Regulation is a paper wall and oligopolies will want to optimize as much as any firm. Trades are already saturating.

This is why I feel completely numb about this, I seriously think there is nothing I can do now. I just chose wrong because I was interested in the wrong thing.

Serious question: What advice would you give to a Computer Science student in light of these tools?

What do you even do then as a student? I've asked this dozens of times with zero practical answers at all. Frankly I've become entirely numb to it all.

This smells like AI.

Cursor Composer is a game-changer for greenfield projects, it's definitely not 3% change.

So excited to engage the core on our future exciting product developments as a team!

The only thing I think that makes my resume as a student appealing is having real-world projects that show I can meaningfully develop. I'd need similar for GenAI, I'd imagine.

As far as I've heard, MBAs have also become completely saturated as well. Out of the frying pan into the fire.

I get you're trying to be "consoling", but frankly the bajillion pivot ideas, hopium arguments, endless counterarguments, and other indirection is why I think there's nothing optimal that can be done. All I can do is go through the motions with my current internship and major and rely on Christ rather than this fickle world. I made the wrong choice. Nothing that can be done.

I'm not trying to express that, it's that I can't find many meaningful projects with them.

I want to build but I don't know what. The ideas don't appear. This is what I've been trying to express.