> responded by writing its own computer vision pipeline
Was it "its own" or something that was part of its training material?
Don't get me wrong, I find this all amazing too and makes my work 10x easier and quicker. But it's not like it's inventing this stuff from scratch / first principles. It has seen this kind of tech before by consuming all publicly available source code and books etc. (And that's ok, but let's be honest/clear about that.)
It's definitely not seen the counterexample to the Jacobian conjecture before.
> But it's not like it's inventing this stuff from scratch / first principles. It has seen this kind of tech before by consuming all publicly available source code and books etc. (And that's ok, but let's be honest/clear about that.)
But how much to emphasize it, and why?
Because frankly, you aren't inventing anything from scratch / first principles, either. None of us are, not frequently and not much anyway. We're primiarily just regurgitating what we've seen in the past and, mixing it with what we see in front of us - and that's true whether it's art or prose or code.
Here, I wouldn't be able to do the same thing Claude did now, because I've never written a visual ML pipeline before myself. I know enough basics to get me started searching, and I'm confident I'd be able to cobble something together, but it would be me regurgitating and mixing whatever TensorFlow tutorials or OpenCV docs I found relevant, perhaps even tweaking an example from Github.
Now, unless I'd literally just tweak a few lines of config in an existing Github example, no one would begrudge me saying "I wrote my own computer vision pipeline to solve this". So why begrudge LLMs?
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>But it's not like it's inventing this stuff from scratch / first principles.
Yes, it's definitelly time for an Alpha Zero moment. An AI which invents everything from first principles. That would be impressive, ... and a bit scary.
It would be "its own" in that it's customized for the specific use case.
Your same argument could just as easily be applied to humans. If you write your own code, is it really your own, or is it just based on your own training and other code you've seen?
Glue layers are fun and easy to write - and often worth doing.
Is anything you do on your own?
You wrote this response in English, but didn't invent your own language. How dilute of a contribution can someone/something have made and still merit credit?