Introduction In the age of rapidly evolving AI, privacy is often treated as a luxury. Sahara AI, one of the most ambitious Web3 projects, is trying to make it a default. By building a framework where AI inference can occur privately via zero-knowledge proofs (zkML), Sahara is opening new frontiers: for developers, for decentralization, and for the very idea of trustless intelligence. But what happens when privacy goes so far, it becomes opacity? This is not a critique of Sahara AI itself. It’...