Deep learning is hitting a wall?

Re:Deep learning is hitting a wall? by giraffe_lady on Wednesday March 09, 2022 @09:55PM (#30622716)

As I'm reading it, the argument isn't that progress can't be made or cool things can't be done with these tools. It's that for certain problems no amount of progress will be sufficient, yet we have entire domains of the tech and consumer products industries built around and selling the idea that just a little bit more will get us there.

The argument is compelling to me and fits my experiences. I think the limitations of these tools has become more apparent to non-specialists the last couple years, so if he's been saying this since 2016 that's honestly more impressive. What do you expect him to change his tune to if he's already singing a good one?

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Re:Deep learning is hitting a wall? by 9wzYQbTYsAIc on Wednesday March 09, 2022 @09:59PM (#30622746)

> It's that for certain problems no amount of progress will be sufficient

In mathematics, you solve problems from both directions, at times.

It seems that computer science has come full circle with psychology, finally.

Dig into computational comparative psychology for leads on where deep learning experts need to turn to next.

There are plenty of computational neuroscientists that are probably struggling with untwining what they are looking at.

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