Inference Labs: Reshaping Trust in the AGI Era with 'Auditable Autonomy' At present, AI systems have been deeply embedded in key infrastructure such as aviation, healthcare, and finance. With a 131% surge in cyber attacks on AI systems in the aviation industry between 2022-2023, the industry has realized that relying solely on "trust models" is no longer sufficient to support security Encryption ensures mandatory alignment with 'proof of reasoning' Inference @ inference_1abs proposed a core logic called 'Auditable Autonomy', aimed at installing a 'digital black box' for every decision made by AI: ➡️ Proof of Inference: Using encryption techniques such as zero knowledge proof, an immutable receipt voucher is generated for each instruction of AI ➡️ The performance leap of the DSperse framework: The DSperse architecture performs "slice inference" and distributed verification on large-scale models, ensuring that the verification process does not sacrifice execution speed and achieving encryption guarantee of "verification increases synchronously with autonomy" The technology of Inference @ inference_1abs is pushing AI from "blind" to a new stage of "verifiability": ① This architecture is not only suitable for airport dispatch, but is rapidly extending to the fields of energy optimization and automated manufacturing ② Transform decision logic into traceable encrypted credentials on the chain, maximizing security performance