At the current pace of AI development, do you think AI will need an ID card in the future?
In traditional internet environments, users can hardly know who owns a model, where it’s running, or whether its version has been tampered with.
Proof of Inference by @inference_labs is like issuing an “ID card” for each model—embedding its identity, runtime environment, and usage logs into a verifiable proof, enabling on-chain contracts and various DeFi/Agent protocols to distinguish between “legitimate” models and “black-box knockoffs.”
In addition, they are building a “credit system” for AI. Through DSperse, inference is broken into fragments that can be verified in a distributed manner, and then JSTprove is used to generate zero-knowledge proofs, turning every instance of genuine inference performance into a reputation score—models that are stable and reliable get more traffic and incentives, while those that mislead users or arbitrarily tweak parameters are marginalized by network consensus.
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At the current pace of AI development, do you think AI will need an ID card in the future?
In traditional internet environments, users can hardly know who owns a model, where it’s running, or whether its version has been tampered with.
Proof of Inference by @inference_labs is like issuing an “ID card” for each model—embedding its identity, runtime environment, and usage logs into a verifiable proof, enabling on-chain contracts and various DeFi/Agent protocols to distinguish between “legitimate” models and “black-box knockoffs.”
In addition, they are building a “credit system” for AI. Through DSperse, inference is broken into fragments that can be verified in a distributed manner, and then JSTprove is used to generate zero-knowledge proofs, turning every instance of genuine inference performance into a reputation score—models that are stable and reliable get more traffic and incentives, while those that mislead users or arbitrarily tweak parameters are marginalized by network consensus.