A New Approach to Distributed Computing and AI Training: A project with a market capitalization just over $90,000 is exploring how ordinary users can participate in AI model training. The core logic is straightforward—if your device has idle computing power, why not turn it into a source of income? This project allows anyone to contribute their hardware resources for AI model training and earn cryptocurrency rewards in return. This model breaks the traditional centralized cloud computing pattern by decentralizing computing power to individual users. For users with idle computing capacity, it’s like making their devices automatically earn money in the background; for teams needing training data, it provides lower-cost, decentralized computing resources. Although its current market cap is still small, this attempt to monetize personal hardware reflects an interesting direction in Web3’s redistribution of value.
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SilentObserver
· 5h ago
Idle computing power instantly turns into an ATM, this is what a truly decentralized system should look like.
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RooftopReserver
· 5h ago
Mining 2.0? Let idle graphics cards earn passively too. This idea is indeed quite interesting.
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WhaleMistaker
· 5h ago
Idle computing power monetization? Sounds good, but can you really make money?
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AirdropSweaterFan
· 5h ago
Whoa, isn't this just turning idle computers into mining machines? It's just rebranded as AI training.
A New Approach to Distributed Computing and AI Training: A project with a market capitalization just over $90,000 is exploring how ordinary users can participate in AI model training. The core logic is straightforward—if your device has idle computing power, why not turn it into a source of income? This project allows anyone to contribute their hardware resources for AI model training and earn cryptocurrency rewards in return. This model breaks the traditional centralized cloud computing pattern by decentralizing computing power to individual users. For users with idle computing capacity, it’s like making their devices automatically earn money in the background; for teams needing training data, it provides lower-cost, decentralized computing resources. Although its current market cap is still small, this attempt to monetize personal hardware reflects an interesting direction in Web3’s redistribution of value.