The article contrasts centralized and decentralized AI using metaphors of a castle versus a neighborhood. Centralized AI is likened to a strong castle where large companies control data and algorithms, posing risks of data theft, manipulation, or unethical practices. In contrast, decentralized AI resembles a neighborhood where numerous personal devices share intelligence collaboratively, enhancing security and trust while allowing individuals to maintain control over their own data. This shift may play a crucial role in the future development of AI technology, emphasizing privacy and communal learning.
Now imagine the exact opposite. It's not one big castle; it's a neighborhood. The little brain: A piece of the AI home puzzle in every house.
Decentralized AI: A More Friendly, Smarter Neighborhood. By far the biggest difference, however, is that the power is decentralized.
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