In Web3, AI tools are everywhere—from trading predictions to content generation.
As a user, I always have doubts: Can I trust these results?
The faster the answers from AI, the greater my uncertainty.
This is the paradox of the 'black box': I want to rely on it, but I can't prove whether it's right or wrong.
The emergence of Lagrange feels like opening a window on the black box.
Through ZK technology, AI inference results can come with proofs on-chain.
For me, this means:
No longer 'I believe whatever AI says';
but rather 'Every statement from AI can be confirmed on-chain.'
This is not just a simple technological innovation, but a reconstruction of user trust logic.
📍 Follow @Lagrange Official
💬 If you can verify an AI output, what would you most like to verify?
