Decentralized AI offers a promising alternative to both open and closed-source AI systems by utilizing blockchain technology and crypto-based incentives. In decentralized AI networks, there is no central authority in control; instead, ownership, access, and rewards are distributed among participants. This approach tackles the funding and coordination challenges faced by open-source AI by implementing token economies that provide continuous financial incentives to contributors. For instance, decentralized platforms such as NEAR, Bittensor, Allora, Sentient, and Sahara aim to compensate participants with native tokens for their contributions to the training and enhancement of AI models, establishing a sustainable economic model that could empower developers to support ongoing development efforts.
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