Free Tamil Mobile Forum

Ive been reading a lot about Zero-Knowledge Proofs (ZKP) lately, and the more I learn, the more it feels like this tech is going to play a huge role in the future of AI and decentralized systems.

The biggest issue with todays AI isnt intelligenceits trust. Most AI models rely on centralized data storage, which means users have to hand over sensitive information and just hope its handled responsibly. ZKP changes that dynamic completely. Instead of sharing data, you can prove something is valid without revealing the actual information.

Whats really interesting is how this applies to AI computation. With ZKP, AI models can run on encrypted data and still produce verifiable results. That means no raw data exposure, no identity leaks, and no blind trust in centralized servers. Everything can be mathematically verified.

This also makes decentralized compute much more practical. Contributors can provide compute power, and the network can verify that the work was done correctlywithout anyone seeing private inputs or proprietary logic. That feels like a big step toward fairer, more transparent AI infrastructure.

Curious what others think:

• Do you see ZKP becoming a standard layer for AI systems?

• Is privacy-first AI realistic at scale?

• What real-world use cases do you think will adopt ZKP first?

Would love to hear different perspectives from the community.