DeepProve Rewrite Rules, $LA makes AI reasoning results "verifiable and trustworthy"

Is it difficult to check the black box of AI risk control model decisions? Is it hard to distinguish between the authenticity of generative AI content? Lagrange, along with LA, provides answers using DeepProve—the world's fastest zkML system, 158 times faster than its peers, capable of transforming the AI reasoning process into on-chain verifiable ZK proofs, allowing AI output results to "prove their own innocence" and completely breaking the industry dilemma of "AI being unverifiable."

The DeepProve of @Lagrange Official achieves three major breakthroughs: it supports mainstream frameworks such as TensorFlow and PyTorch, allowing developers to connect without restructuring models; it can handle large-scale model inference, adapting to complex scenarios such as financial risk control and content generation; the generated ZK proofs can be directly verified on-chain, with results that are tamper-proof. For financial institutions, the decision logic of AI credit approval is traceable, meeting regulatory compliance requirements; for content platforms, AI-generated text and images can be marked as "verified," effectively combating deep forgery.

The $LA token injects power into the zkML ecosystem: AI developers need to pay $LA to call DeepProve; node staking of LA can become AI proof generators, providing computing power support for model inference. After collaborating with NVIDIA to optimize hardware, the efficiency of proof generation has increased by another 30%, continuously lowering practical barriers.

@Lagrange Official is equipping AI with a "trustworthy engine" using ZK technology. #lagrange is not speculating on the zkML concept, but rather making AI reasoning transition from "black box" to "transparency." When AI results can be backed by mathematical proof, the integration of Web3 and AI will enter a period of explosive growth. #lagrange