Crypto, AI, Cryptoeconomics, Machine Learning, Ethereum.
rollups use ZK proofs, optimistic rollups use fraud proofs, and most L1 blockchains use cryptoeconomics. It’s no surprise that we arrived at basically the same solutions. So what makes this hard when applied to ML? ML is unique because ML computations are generally represented as dense computation