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> Come back and chastize me if we dont see more RL startups in 12 months time !

1999 is 26 years ago but ya sure this is the year they finally take off.

> Perhaps thats because it takes a while for the ideas to get polished/weeded and diffuse into the engineer zeitgeist .. or it could be that compute / GPUs are now powerful enough to run at the scale needed.

Or perhaps it could be that you're wrong and they're useless? Nah that couldn't be it.

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And 1967 was 58 years ago, which was when the first deep neural network was trained with stochastic gradient descent. Yet, DNNs didn't take off until the 2010s when the hardware became powerful enough and data became plenty enough to successfully train and utilize them such that they were practical.

I think you GOT caught here. That's why you don't respond to the Nobel prize winning example of RL.

Are we talking about AlphaFold? It did not use RL, right?

I think it does: https://juanraul8.github.io/master-praktikum/

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