The application of AI in many industries has become increasingly common, but a core question is: Can you prove that its results are real?
In the medical field, incorrect diagnoses can pose life-threatening risks; in financial risk control, model biases can lead to significant losses; in cross-chain environments, erroneous data can directly trigger security incidents.
Lagrange's DeepProve technology was born to address these pain points. It generates a mathematical proof alongside the AI's results using zero-knowledge proofs. This means that, whether in hospitals, banks, or cross-chain protocols, the conclusions drawn by AI can be independently verified rather than relying on unilateral promises.
Engineering updates show that DeepProve-1 has completed the validation of GPT-2 in a production environment, proving this approach to be entirely feasible. In the future, features like Proofs of Training will further expand the trustworthy boundaries of AI.
At the level of the digital economy, the $LA token ensures that verification nodes have incentives to participate, forming a long-term stable guarantee mechanism.
