In the world of blockchain, oracles are like a umbilical cord connecting the virtual and real worlds. However, traditional oracles can only verify simple data—such as the price of a certain coin. When it comes to more complex information, like the authenticity of a news story, election results, or details of a real estate contract—unstructured data—they start to feel "overwhelmed."

Recently, I saw a project exploring an interesting direction—using AI to redefine the capabilities of oracles. Rather than just an upgrade to Oracle 2.0, it’s more like opening a new door.

**Where is the core breakthrough?**

Basically, it’s about using AI to process messy, unstructured data. Imagine a prediction market needing to determine whether a team can win the championship. The system can crawl information from news, social media, and other channels, perform deep semantic analysis and cross-validation, and finally convert this "truth" into a signal that on-chain smart contracts can understand. This way, applications like prediction markets and RWA asset verification, which once seemed impossible, now have the infrastructure support.

**Potential applications are in two main directions:**

First, serving the Bitcoin ecosystem. The explosive growth of emerging assets like Bitcoin Layer 2 solutions and Runes has driven a surge in data verification needs. Traditional oracles have inherent limitations operating under the Bitcoin UTXO model. New solutions can establish a dedicated data verification layer for this ecosystem, solving this bottleneck issue.

Second, defining communication standards between AI Agents. As autonomous AI agents play an increasingly important role in automated trading and asset management, they need a trustworthy, decentralized data exchange protocol. There are significant opportunities here.