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I am surprised, as recently OpenAI had ~25% of easy problems and ~2% in competitive problems. Seems like DeepMind is ahead in this topic as well.

Actually I think Meta AI had some interesting discovery recently that could possibly improve NNs in genral, so probably this as well.

I am not in field but wonder if some other approaches like Tsetlin machines would be more useful for programming.

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Somehow I have never heard of Tsetlin machines before this. Are you talking about this https://ai.facebook.com/blog/the-first-high-performance-self... result by MetaAI?

Probably not. Tsetlin machines have logic expressions instead of weights in NN, so it's easy to interpret them. I guess some meta algorithm could maybe work on top of them.

https://arxiv.org/abs/2102.10952

EDIT: Missread, I meant this from meta https://arxiv.org/abs/2105.04906 - not sure how much it's productised

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