The blockchain industry has never lacked new concepts, but there are not many innovations that can truly be realized. The "Co-Processor Layer" recently proposed by Chainbase is indeed eye-catching—it attempts to solve not only technical issues but also a sociological proposition that has troubled Web3 for a long time: how to turn the dispersed wisdom of individuals into quantifiable network value.

When computing power is no longer the only hard currency
The value anchor points of traditional blockchain networks often focus on computing power or token staking, but Chainbase's co-processor layer introduces a more "human-centric" dimension: knowledge contribution. Imagine a developer uploading an algorithm for optimizing data indexing, and a data scientist contributing a machine learning model; these non-standardized intellectual outputs are certified, priced, and even innovatively combined on the chain. This design allows the network's value to begin to lean towards human capital, somewhat replicating the collaborative spirit of the open-source community, but with added explicit economic incentives.
It is worth noting its knowledge assetization mechanism. Unlike simple content mining, the co-processor layer allows knowledge modules to be encapsulated as composable asset units. For example, a historical data analysis model for a certain address may be encapsulated as an NFT and purchased by quantitative funds in the on-chain market for derivative pricing. This model has already taken shape in the traditional data industry (such as the analyst factor library in Bloomberg terminals), but the permissionless nature of blockchain may give rise to a more active long-tail market.
$C Token Economic Experiment
The $C token plays multiple roles in this system: it is used for payment knowledge modules.