One of the fascinating things about AI and cryptography is how similar the math sometimes is. Like, the way that the poseidon hash works (matrix mult -> per-unit nonlinear layer -> matrix mult -> per-unit nonlinear layer) is *exactly* what deep neural networks do.

Can you expand on what this means to you in terms of the interplay between crypto x AI?

onchain explorer + creator: https://drip.haus/howdai

There’s a lot of potential for overlap — secure MPC enables multiple dataset owners to combine their sets for private training of a neural network without revealing their inputs to the other parties, yet getting an end output of a network trained on all participants’ data.

I'm not sure about the OP, but I believe it's just an interesting coincidence. Matmul is all over the place. It's used in quantum mechanics and special relativity, as well