Lagrange: Redefining the Practicalization Standards of ZK Proofs

The practicalization of Zero-Knowledge Proofs (ZK) lacks a unified standard, leading to uneven technological applications. @Lagrange Official , through scalable innovation, has redefined the practicalization standards of ZK proofs, making "efficient, low-cost, and scalable" the new industry benchmark.

The new standards defined by @Lagrange Official are reflected in three dimensions: in terms of efficiency, the DeepProve system has increased the proof generation speed by a hundred times, shortening the complex computation verification time from several hours to minutes, setting a new industry efficiency record; in terms of cost, the distributed node network significantly reduces computing power costs through staking and reward mechanisms, lowering the threshold for using ZK proofs; in terms of scalability, the network can flexibly mobilize global node computing power according to demand, easily handling large-scale computing scenarios, breaking the traditional scalability bottleneck of ZK solutions.

The $LA token is the core that maintains this standard, where users pay $LA according to the complexity of the proof, and nodes receive $LA rewards based on processing efficiency. The governance mechanism ensures that the standards evolve with technological advancements through LA, keeping the ecosystem always ahead. This design makes the practicalization of ZK proofs no longer a vague concept, but a quantifiable and optimizable specific metric.

#lagrange is reshaping the application landscape of ZK technology with scalable solutions, turning the slogan "advanced technology benefits the public" into reality. When the practicalization of ZK proofs has clear standards, developers can integrate more efficiently, users can benefit more conveniently, and the future of Web3 becomes more promising.