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Comment by jonplackett | Hacker News Reader

A lot of these ‘an agent invented’ or ‘an agent solved’ are actually the agent wading through a lot of info and finding something a human did that no one noticed or saw the relevance of at the time.

If ai becomes so prolific that we humans all stop doing those things then will they still work?

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Which is somewhat ironic since neural networks were "discovered" back in the 1940s... then forgotten... then wait, they were discovered again! ... then forgotten, again... and now here we are.

We didn't have big enough compute and data to do interesting things with them until recently. That changed with ImageNet in 2012

https://www.technologyreview.com/2020/11/03/1011616/ai-godfa...

Sort of- Yann LeCun had working neural network based letter recognition, used by the Post Office.

That's a fair point to make. It was impressive what they achieved with 90s hardware. Of course OCR to general object recognition is a big gap in how interesting it is.

Yes, as long as we are advancing to behavior and world models, so that agents can interact with the world themselves. Which we are.

Well its not just any old human doing these things in a general sense. Its typically academics or highly paid researchers who love doing work like this. So, I don't think it will just one day stop

I think access to AI too early (before any expertise) is going to serious cripple educational development.

Next gen of scientists might look quite different.

That is probably true, but the ones that make it through to become experts might get super-charged with AI as well

But my ponderance is - is that enough. Is AI supercharging or just super finding?

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