Currently, most AI systems still operate within untrustworthy black boxes, which amplifies trust risks in the Web3 scenario.
@inference_labs's argument is very clear: reasoning itself should become an auditable and constrained infrastructure component.
By enabling the reasoning process to have verifiable properties, Inference Labs is not just providing a model service but building a trust bridge between AI and decentralized protocols.
This design allows AI to operate securely as part of the protocol, rather than being a tool outsourced to centralized systems.
When reasoning results can be independently verified, AI's role will be upgraded from an auxiliary judgment to a decision-making unit that the system can rely on.
This transformation is crucial for building truly trustworthy AI protocols.
@Galxe @GalxeQuest @easydotfunX
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Currently, most AI systems still operate within untrustworthy black boxes, which amplifies trust risks in the Web3 scenario.
@inference_labs's argument is very clear: reasoning itself should become an auditable and constrained infrastructure component.
By enabling the reasoning process to have verifiable properties, Inference Labs is not just providing a model service but building a trust bridge between AI and decentralized protocols.
This design allows AI to operate securely as part of the protocol, rather than being a tool outsourced to centralized systems.
When reasoning results can be independently verified, AI's role will be upgraded from an auxiliary judgment to a decision-making unit that the system can rely on.
This transformation is crucial for building truly trustworthy AI protocols.
@Galxe @GalxeQuest @easydotfunX