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.

Neural networks are turing complete so I don’t think it’s a coincidence!

Weird how one removes meaning, the other encodes it.

If you were again 15 today, work on AI or Eth?

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.

Both compute complex functions constructed from simple primitives

Will be talking about some other unexpected similarities tomorrow at Zuzalu, hope to see you there ☺️🫡