Hot but correct take - deterministic processes will ALWAYS beat AI/neural networks

Reddit r/ArtificialInteligence News
decision-trees neural-networks deterministic-vs-stochastic ai-limitations opinion

Summary

The author argues that deterministic decision trees will always outperform neural networks, claiming that AI's successes are only due to computational limits on building such trees.

There was a paper recently about how if you tell a neural network to play a game, it'll do ok. If you designed a deterministic decision tree to play the game, it will dominate that neural network. In fact, if you tell the neural network to write that decision tree, the neural network's decision tree will dominate the neural network. This is a universal rule. A deterministic decision tree will always dominate AI/neural networks. The only reason AI wins at some things, like Go, is because computers don't have the power to make that deterministic decision tree yet. Once they do, they'll beat AI at Go and any other task. Happy to debate anyone who disputes this.
Original Article

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