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?
Neural networks are turing complete so I don’t think it’s a coincidence!
It’s really fascinating to see the same math working across so many different fields. I learned about Shannon entropy because it’s used in one of the primary measures of ecological diversity.
but one kind of matrix multiplication can become sentient and kill us all apparently according to yudkowsky
Will be talking about some other unexpected similarities tomorrow at Zuzalu, hope to see you there ☺️🫡
Crypto and AI are just data transformations and matrix application plot point non-linearity is believed to capture universal transformations.