What is the future direction of AI? The key lies in whether privacy protection technologies can keep up. As artificial intelligence applications explode, the risk of user data leaks is also increasing. In the Web3 space, this issue is particularly prominent—zero-knowledge proofs, secure multi-party computation, and on-chain privacy protocols are becoming standard. Imagine a scenario: users interact with decentralized applications, and AI analyzes your behavior but cannot access your true identity. This requires a deep integration of cryptographic tools and privacy infrastructure. The future AI ecosystem must enable privacy and efficiency to coexist. Without genuine privacy protection, so-called decentralization is just a castle in the air.
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LiquidityOracle
· 2h ago
Zero-knowledge proofs really need to be popularized now. Big companies are secretly eating up data.
How to balance privacy and efficiency? It always feels like choosing between the fish and the bear's paw.
If Web3 doesn't build a solid privacy infrastructure, it's just self-deception.
On-chain privacy is indeed a shortcoming and urgently needs breakthroughs.
Cryptographic tools can't keep up with AI's pace, which will cause big trouble later.
Decentralization slogans alone are useless; real privacy protection is needed.
Right now, it's a carnival for data companies, and user privacy is worthless.
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SighingCashier
· 8h ago
Zero-knowledge proofs sound really cool, but how long will it actually take to implement them in practice?
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CommunitySlacker
· 01-18 05:04
Zero-knowledge proofs sound advanced, but even major companies haven't figured them out yet.
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PermabullPete
· 01-18 05:02
Honestly, zero-knowledge proofs still need a few more years to truly become practical. Right now, it's mostly just conceptual hype.
What is the future direction of AI? The key lies in whether privacy protection technologies can keep up. As artificial intelligence applications explode, the risk of user data leaks is also increasing. In the Web3 space, this issue is particularly prominent—zero-knowledge proofs, secure multi-party computation, and on-chain privacy protocols are becoming standard. Imagine a scenario: users interact with decentralized applications, and AI analyzes your behavior but cannot access your true identity. This requires a deep integration of cryptographic tools and privacy infrastructure. The future AI ecosystem must enable privacy and efficiency to coexist. Without genuine privacy protection, so-called decentralization is just a castle in the air.