Join the conversation

Join the community of Machine Learners and AI enthusiasts.

Sign Up
efecelik 
posted an update 2 days ago
Post
600
Having multiple perspectives helps me create more diverse, innovative projects but without deep mastery in one area, I never feel truly satisfied.

What's the better investment: going deep in one field, or staying broad across many?

That's a really good question, and one that I think is becoming more and more important to think about as AI gets better and better.

A few years ago a lot of people would have probably told you that deep mastery in one area was the move. But I don't think that's the right advice anymore. AI models are so good now that the move might be to stay broad - deep mastery will always be important, but you can absolutely prompt your way through any deficiencies.

If were to put money on it (and I'm not) I'd say that we're entering the "Age of the Polymath"

·

Yeah I think you're right. Deep expertise used to be the thing, but now AI kinda levels that playing field. Feels like the real advantage is being able to pull from different areas and connect stuff others don't see.

In this post