Recently, I've been pondering the oracle space and my ideas have undergone significant shifts. I used to be obsessed with technical details, but now I'm more interested in a fundamental question: how can blockchain truly connect with the real world and transition from a self-deluded perfect ideal to responsible, real-world operation?

In simple terms, once smart contracts involve off-chain elements—such as price fluctuations, asset reserve data, or sudden news events—their fragility is fully exposed. The rules inside the blockchain are static and deterministic, but the real world is chaotic and lacks absolute standards.

Because of this understanding, a project has caught my particular attention. Unlike those projects in the market that constantly claim to dominate the oracle track, it instead delves into extreme scenarios that could actually break the protocol—market flash crashes, conflicting data sources, malicious manipulation, or even handling periods of vacuum before the truth emerges. Some research institutions have positioned it as an AI-enhanced oracle network, with core competitiveness in processing complex, unstructured data like news and social dynamics, rather than just focusing on clean data such as price feeds.

The key differentiator: a double-layer trust mechanism to provide a safety net, rather than relying solely on a single data source.

Most people in the market judge oracles by a single metric: how accurate is the reported price? But this project addresses a deeper question—when the world becomes ambiguous, controversial, or even chaotic, can the oracle hold up?

Its architecture is layered. Simply put, it uses AI and large models to build a decision layer, complemented by a submission layer, and finally anchors the verified data onto the chain. Essentially, it separates data collection and interpretation from the final on-chain confirmation—this step is particularly critical because there is an inherent tension between quickly capturing data and achieving verifiable final settlement.