Microsoft patent filing describes paying users for idle computing power to train AI
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Microsoft has filed a patent describing a system that compensates users for contributing idle computing power to train AI models, potentially broadening access to distributed training resources beyond centralized data centers. The filing positions consumer hardware as a decentralized alternative for AI workloads, though it flags concerns over privacy, hardware wear, and whether payouts will be economically worthwhile for participants. The patent does not specify token incentives, pricing, or supported hardware, leaving the compensation model undefined. It matters because it signals Big Tech interest in crowdsourced compute, a model already central to decentralized networks that reward contributors for GPU and CPU capacity. What to watch next is whether Microsoft converts the filing into a live product and how any payout structure compares with existing decentralized compute marketplaces.
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