Being understood but not recognized — it sounds like a paradox, but this is the current real dilemma.

We crave AI to provide precise personalized services, while also fearing privacy leaks. Traditional internet giants are straightforward: exchange your data for my service, a deal already outlined in privacy policies.

But the Web3 world is redefining these rules of the game. The emergence of anonymous sharing intelligent models breaks this all-or-nothing deadlock.

The most crucial shift is here: dApps can share "behavior insights" and "user patterns" instead of directly exposing personal identity data. Imagine your usage habits, transaction preferences, risk tolerance—these dimensions being distilled into anonymous behavioral feature bundles, circulating and optimizing across different applications to give you a more personalized experience—without anyone knowing who you are.

This is not just an upgrade in privacy protection but a new paradigm for Web3 ecosystem collaboration. Interconnectivity of data between decentralized applications finally has a new way that is both secure and efficient.