[fragmede]

If you want to get into tech, get into the ML space. Teach yourself StableDiffusion. like, really dig into it and learn how it all works from start to finish. The model was released so it's open source(ish) but most importantly learning about that will let you look behind the curtain, and realize the pieces that go into, say ChatGPT. it may seem like a magic but OpenAI's published papers on the underlying technologies. I'm not trying to say it's not impressive, because it is, I'm trying to say that decomposing AI into understanding that it's really a series ML models that you can interact with and tweak and tune - that's a skill that's not going away and so will be useful while the machines take over. obviously this isn't for everyone but if I were in your shoes, that's the direction I would go to future proof my career.

[__pache__]

I think this is the wrong move. You're not going to compete with a PhD. Instead focus on the long tail, keep learning frontend or whatever you like, and put a pretty face in front of the AI. Make awesome stuff the best way you can, don't worry about matrix math all of the sudden if it's not already your thing.

[osigurdson]

This person is a teenager. They can of course get a PhD.

[weatherlite]

So hard giving advice nowadays. Pursuing a PHD will take him around 10 years ...who the hell knows what's coming in 10 years. If he wants to maximize his earnings its very well possible working for the government in whatever is a much better route.

[weatherlite]

But why wouldn't A.I be able to apply A.I theory on itself and improve itself? I mean if they can replace me as a software engineer why can't they replace everyone who apply ML algorithms?

Or do you mean for him to become one of the few people who can create new A.I algorithms? That's like the top 1% of intelligence I think and the barrier will only go higher.