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.

BDFL of Quilibrium, Eng @ Farcaster, ex-Coinbase, always opinionated, never hydrated

/quilibrium

Wow, nice. Are there any projects doing that?

Building @kiwi 
Writing @ https://kanfa.macbudkowski.com/

Google is testing it for a while:

https://ai.googleblog.com/2017/04/federated-learning-collaborative.html?m=1