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The Future of AI Increasingly Appears to be Decentralized

  • Centralized AI models, with their high costs and scalability challenges, are becoming increasingly unviable for startups and researchers.
  • Decentralized platforms like Nidum.ai and bittensor are redefining access to computational power by utilizing underutilized hardware and creating a global resource pool.
  • Blockchain technology is enabling the decentralization of AI, reducing costs, improving scalability, and enhancing transparency.
  • Decentralized networks use tokenized incentives to sustain participation, enabling a self-sustaining economy where contributors earn cryptocurrency by leasing idle GPU capacity.

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