Thank you for sharing

🧧Lagrange's ecosystem is originally built around zero-knowledge proof networks, with the native token LA serving as the 'energy currency' for the ecosystem's operation. Participants stake LA to obtain proof tasks and earn rewards. This breakthrough in verifiable AI is like injecting a 'new species' into this ecosystem. A large number of AI developers will be attracted by the production-level capabilities of DeepProve-1, and they will actively join the Lagrange ecosystem to stake LA tokens and claim proof generation tasks in order to validate their developed AI models. This not only brings in a new group of participants but also spawns new modes of ecological interaction. For instance, AI model developers can collaborate with LA stakers, where the former provides model inference requirements and the latter offers proof generation services, forming a closed loop of 'model development - inference validation - reward distribution.' At the same time, as the number of AI-related proof tasks in the ecosystem increases, the usage scenarios and demand for LA will also rise significantly, much like the 'velocity of currency circulation' in the ecosystem accelerating, further enhancing the intrinsic value of LA, thus creating a virtuous cycle of ecological prosperity and token value reinforcing each other.
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