Recently, a controversial political judgment from 2017 sparked heated discussions, and unexpectedly produced a prediction that brought a smile in the AI circle. Before the verdict was announced, Gemini and Claude accurately predicted the outcome; however, some models that relied on online sentiment were misled by the complex public opinion and populism.
This incident not only proves that "rational data" triumphs over "emotional bias," but also reveals an objective reality: in the face of vast interests and complex games, reliance on centralized human judgment is often fragile and prone to friction.
The pain point of the traditional "big government" framework lies precisely in the countless rights to allocate funds and approve projects being concentrated in the hands of "people." As long as there are centralized approval nodes, there exists a very high cost of social friction and opportunities for rent-seeking.
Looking at the turmoil caused by human governance and then reflecting on the Sign sovereign infrastructure we have recently tracked, the underlying business logic becomes very clear. By stripping away the volatile market sentiment, the core of Sign's "programmable currency (New Money)" and "evidence layer (Evidence Layer)" aims to transfer this redundant approval power to objective and rigorous smart contracts.
Let's objectively dissect the implementation of this mechanism in governance: suppose the government's project bidding or special fund distribution is entirely written into Sign's smart contracts. The qualifications of enterprises are automatically verified through ZK (zero-knowledge proof) and DID (decentralized identity). Once the underlying conditions match, the system triggers CBDC (central bank digital currency) for instant peer-to-peer settlement.
This process eliminates the cumbersome nodes of multiple signatures. Smart contracts do not understand human feelings; objective code cannot be bought by interests.
This confirms the political economy conclusion we have discussed: using blockchain technology to significantly reduce administrative redundancy and achieve a truly "small government." Using minimal code, to complete the most efficient and transparent allocation of social resources.
However, at this stage, as rational spot traders, we still need to raise an objective data warning line, using on-chain data as the bottom card for trading. With discipline and planning, we can manage our positions and befriend time.