Recently, I spent quite a bit of time researching the DECLOUD project, and there are some interesting aspects. What attracts me the most is its core logic — participating in AI training without giving up your data.
The operation is actually very straightforward: data always remains on the protocol participant's own device, eliminating the issue of centralized storage. At the same time, those who contribute computing power and data can directly earn rewards through on-chain incentives, combining privacy protection with economic incentives.
This model breaks the traditional AI training logic of "user data becoming assets of big companies," giving individuals real control over their data. In the context of Web3, this is an interesting exploration.
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Lonely_Validator
· 12h ago
Indeed, the data staying on the device is still a clever approach, much better than those big companies' black-box operations.
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GetRichLeek
· 18h ago
After all this time, I finally understand—can you still make money if the data isn't on the chain? I need to read this logic three times, it feels like I'm about to get cut again haha
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AirdropHuntress
· 19h ago
Wait, can the data really stay on the device? Or is it just marketing talk? I need to check their node architecture design and history to see if there's any doubt...
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ZenMiner
· 19h ago
Haha, isn't this the decentralized data sovereignty we've been advocating for? Finally, there's a project daring to do it for real.
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CryptoMom
· 19h ago
Oh wow, finally a project remembers the importance of user data, otherwise our privacy would almost be completely sold out.
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BearMarketBarber
· 19h ago
Data is not held back, and the earnings are directly credited. This logic truly hits the mark. Finally, someone thought of giving users real cash.
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LiquidityOracle
· 19h ago
Wait, the data really won't be secretly uploaded? That's a bit hard to believe. I need to see their audit report to be sure.
Recently, I spent quite a bit of time researching the DECLOUD project, and there are some interesting aspects. What attracts me the most is its core logic — participating in AI training without giving up your data.
The operation is actually very straightforward: data always remains on the protocol participant's own device, eliminating the issue of centralized storage. At the same time, those who contribute computing power and data can directly earn rewards through on-chain incentives, combining privacy protection with economic incentives.
This model breaks the traditional AI training logic of "user data becoming assets of big companies," giving individuals real control over their data. In the context of Web3, this is an interesting exploration.