Now everyone is talking about privacy, but they are still stuck on ZK and TEE. But if you really use them, you'll know that ZK is too academic, and TEE is too centralized. Either the computation is too slow, or you have to trust the hardware. FHE is different; it can perform operations directly while the data is encrypted. For example, AI can compute your data without needing to decrypt it first; DeFi can manage risk without exposing transaction details. This is real privacy, relying on mathematics, not trust. And Zama @zama_fhe is currently the only team that has made this technology practical. They are not just making empty promises; they are gradually building the tools. If you look at their fhEVM, concrete, and tFHE projects, they already allow developers to run smart contracts and AI logic directly on encrypted data. In the short term, FHE may not seem very exciting, but in the long run, it could be the ultimate answer for privacy computing. When the day comes that both AI and encryption need to rely on privacy protection, Zama's solution will become the underlying standard. #ZamaCreatorProgram