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In 2025, real progress has been seen in the field of privacy computing. According to incomplete statistics, at least more than 70 development teams have integrated confidential computing capabilities into their products—from AI model training to DeFi protocols, and even blockchain games—covering over 100 application scenarios.
Interestingly, the integration threshold is not high; most teams only need to make minimal code adjustments, and the underlying system runs smoothly. The $RLC token acts as the gas fee in this scheme, and the entire process is almost imperceptible to users.
This wave of actions proves one thing: adding a privacy layer to existing applications is no longer an idealistic technical challenge but a practically implementable engineering problem.
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RLC as gas fee? Finally, a project has figured out this issue.
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Feeless integration is truly impressive; all those previous attempts were just nonsense.
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Privacy computing moving from PPT to real-world implementation feels much faster than the DeFi wave.
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Covering 100+ scenarios sounds great, but how many are actually in use?
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The key is whether the ecosystem can truly come to life; for now, it's still in the experimental stage.
The idea behind RLC is indeed clever; hiding gas fees directly improves user experience.
However, the problem is, with the privacy layer added, how is security guaranteed? Audits haven't kept up.
But will RLC, this gas token, become the next fee monster?
Wait, are all 100+ application scenarios really in use, or is it just inflated statistics?
Oh my God, if that's true, DeFi will be so much more worry-free.
Confidential computing is indeed interesting this time; just a code change, no need to overhype.
Low-threshold integration? Then why is it still so quiet now, haha.
The privacy layer has been talked about for nearly ten years, and finally someone is really making it happen.
Can RLC hold, everyone? It feels like there's a chance.