Ben Fielding discusses the future of machine intelligence in a decentralized framework, highlighting the importance of shifting power and control from centralized entities to distributed networks. He argues that decentralization can lead to enhanced security, transparency, and accountability in machine learning applications. Fielding emphasizes the potential of decentralized machine intelligence to foster innovation, allowing more individuals and smaller entities to participate in AI development. He contends that this approach could democratize access to technology, enabling diverse contributions and reducing biases associated with centralized data sources. Overall, the article presents a vision for a future where machine intelligence operates in a more open and equitable environment, benefiting society as a whole.

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