AI is currently extremely popular, but there's a question that no one cares about: how can we confirm on-chain that the results produced by AI are reliable?
Lagrange's zkCoproc network precisely addresses this vulnerability. AI tasks run off-chain, and it can generate verifiable proofs using ZK technology, which can then be validated on-chain. This means that the results generated by AI don't need to be trusted from the developers; trust the mathematics instead—after all, the logic of zero-knowledge proofs cannot deceive people.
Currently, the price of $LA is only $0.3. As the demand for the credibility of AI results explodes, it is very likely to become the economic core of trustworthy AI infrastructure. This does not rely on API interfaces or third-party audits, but solely on the verifiability of the structure itself. Saying it has three times the potential is not a wild guess, but a logical necessity.
In simple terms, for AI to gain trust, it must provide proof on-chain; for the chain to recognize this proof, it cannot do without $LA . At this price, it may be the right opportunity for positioning.
