Artificial intelligence (AI) is rapidly changing the world. While some see it as a threat, others see it as a revolution. Large corporations like Microsoft and Google are already profiting from the AI âârace, raising ethical and safety concerns.
But decentralized AI is replacing centralized systems. This approach changes the very concept of AI by distributing computation and data across a network of nodes, which improves security, privacy, and democratizes access to technology.
Features of decentralized AI:
Distributed computing: data and computing power are distributed across a network of nodes.
Data privacy: Users retain full control over their data.
Resilience: A decentralized system is less susceptible to failures and attacks.
Transparency: AI decision-making processes become auditable.
Decentralized AI allows users to process data locally, reduces risks and prevents monopolies of large corporations.
Examples of decentralized AI platforms:
Ocean Protocol: Offers a blockchain ecosystem for data exchange.
Render: Decentralizes GPU power for 3D rendering.
Fetch.AI: Combines AI, Blockchain, and Automation to Optimize Business Processes.
Decentralized AI is a step towards a safer and more innovative future where control over technology is distributed among all network participants.
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