A few weeks ago, @a16zcrypto published the Nakamoto Challenge, a list of the hardest problems to solve in crypto. One of them, “compliant programmable privacy”, caught our attention at Zama, so we decided to take a shot at solving it using Fully Homomorphic Encryption (FHE). 🧵 The #fhEVM is a protocol for confidential smart contracts using homomorphic encryption. A big advantage of FHE vs other privacy solutions is that the data and computation is actually happening onchain, meaning you get the same level of composability as regular contracts /2

Today, we @zama_fhe are releasing Concrete 1.0, our open source homomorphic encryption compiler. It can convert python code into FHE, while guaranteeing the exactness of the result. 🧵 github.com/zama-ai/concre… #fhe #privacy #ai #cryptography #Python #mlir Concrete converts Python code into TFHE circuits. TFHE is a homomorphic encryption scheme that support encrypted arithmetics and table lookups, using a new cryptographic operator called “programmable bootstrapping (pbs)”.