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The shifting frontier of machine intelligence is entering a phase of decentralised system adoption. These shifts are caused by requirements for visible practices, accountability, and reliability, with an associated goal of expanding and democratizing AI access. The aim is to relocate governance of AI models and data to networked actors rather than

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The shifting frontier of machine intelligence is experiencing a major move toward decentralized structures. These forces are driven by calls for openness, responsibility, and system durability, and a simultaneous aim to broaden and decentralize access to AI capabilities. Decentralized AI seeks to shift model and data governance across connected net

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