Trends in AI Integration: From Centralization to Distribution, From Concept to Practicality

In the past month, the AI field has shown an interesting evolution logic: traditional AI is developing towards distribution, while blockchain AI is moving from proof of concept to practicality. The two are accelerating their integration.

In the traditional AI field, the popularity of local intelligence and offline AI models indicates that AI carriers are no longer limited to large cloud computing centers, but can be deployed on mobile phones, edge devices, and even Internet of Things terminals. At the same time, the realization of AI-AI dialogue marks the transition of AI from individual intelligence to collective collaboration.

This technological advancement has triggered new demands: how to ensure data consistency and decision credibility among decentralized AI instances when AI is highly distributed? This reflects the logical chain from technological advancement to changes in deployment methods, and then to the emergence of new demands.

In the field of blockchain AI, market focus has shifted from mere conceptual hype to the construction of more fundamental infrastructure. Various projects are beginning to specialize in areas such as computing power, inference, data labeling, and storage. This reflects an evolutionary path from the cooling of conceptual hype to the emergence of infrastructure demand, followed by the emergence of specialized division of labor.

Interestingly, the demand shortfalls of traditional AI correspond precisely to the supply advantages of blockchain AI. Traditional AI technologies are mature but lack economic incentives and governance mechanisms, while blockchain AI has innovations in its economic model but is relatively behind in technical implementation. The integration of the two can achieve complementary advantages.

This integration is giving rise to a new paradigm: the combination of off-chain efficient computing and on-chain rapid verification. In this model, AI is not just a tool, but also becomes a participant with economic identity. The computing resources are mainly off-chain, but a lightweight on-chain verification network is needed to ensure credibility and transparency.

This combination maintains both the efficiency and flexibility of computation, while ensuring credibility through on-chain verification. The rapid development of AI is breaking the boundaries between web2 and web3, and the integration of innovation will bring more possibilities.