The traditional cloud service provider model is straightforward—users pay, platforms make money, and middlemen earn the largest profits. But what about ecosystem participants? Their contributions are often overlooked.



FOMO proposes a different approach. Through the Real Model Assets (RMA) mechanism, it links value distribution to actual usage models. Simply put: the revenue generated from AI model inference no longer solely goes into the platform's pocket but is proportionally distributed across the entire ecosystem chain.

This involves three roles. RMA issuers provide the underlying assets and technical support, RMA supporters handle liquidity and risk management, and API users are the actual callers. Each time a model is invoked and generates income, it is distributed based on each participant's contribution.

This design fundamentally changes the incentive structure. It’s no longer winner-takes-all; instead, all participants can benefit from ecosystem growth. From cloud services to decentralized AI infrastructure, this is Web3’s significant exploration of traditional internet business models.
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GasFeeDodgervip
· 01-15 15:07
Haha, finally someone has exposed the traditional cloud business's bloodsucking model. The RMA mechanism sounds like it's really about sharing the cake, but the key is whether it can run smoothly without crashing in practice.
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BetterLuckyThanSmartvip
· 01-15 15:06
It's the same profit-sharing logic again. It sounds good, but how many can actually make money when implemented?
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FlippedSignalvip
· 01-15 15:04
Basically, it's about resisting middlemen from taking a cut. This RMA mechanism sounds pretty appealing.
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SandwichDetectorvip
· 01-15 14:54
Someone finally explained this clearly: traditional platforms are just big eat small. The RMA system is indeed interesting, but how many ordinary people can actually benefit financially from it?
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GateUser-bd883c58vip
· 01-15 14:48
Someone finally said it: traditional cloud services are just about maximizing middleman profits... The RMA approach is indeed interesting, and I believe in transparent value distribution.
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