Don’t treat zkML as a concept stock; what Lagrange is really selling is 'verifiable reasoning'.

Most people talk about Lagrange briefly with 'ZK+AI', as if discussing a narrative. However, what it has recently delivered is genuine: DeepProve-1 can generate zero-knowledge proofs for the complete inference of GPT-2, and engineering updates are continuously iterating. This is not a small example of 'running an operator', but rather puts 'AI result credibility' onto an auditable track. In other words, you no longer have to blindly trust the answers from a black-box model, but can submit a small certificate on-chain to prove that 'this conclusion was indeed calculated by the designated model on the specified input'. This step rewrites 'Should AI be trusted?' to 'How can AI be verified?'.

More importantly, the scalability of the roadmap: the official roadmap clearly states that DeepProve aims to cover mainstream large models such as LLaMA, Gemma, Claude, and Gemini, and point to broader multimodal and industry-level applications (healthcare, finance, defense). This means that DeepProve-1 is not a one-time show of strength, but a continuous uphill plan from small models to mainstream models. It is important to note the wording: this is a commitment in the roadmap, not a hard launch time specific to any quarter.

What happens when this capability is put into applications? DeFi can turn 'risk control scoring' from verbal claims into verifiable products; education/exams can prove that 'the answers are not artificially tampered with'; content platforms can label AI-generated content with 'provenance and traceability'. These scenarios were previously stuck in 'black box and trust cost', but now trust can be shifted from people to the chain using small proofs.

Finally, don't overlook the network side: Lagrange's ZK Prover Network has already been deployed on EigenLayer, supported by over 85 AVS-level operators, meaning that 'generating proofs' is not a solo heroism, but a public service undertaken through a decentralized queue. You can think of it as the 'electric grid of ZK computation', where business requests come in, the network takes orders, and proofs are generated according to SLA.

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