The Ethereum Virtual Machine (EVM) operates within a formalized network system, designed primarily for executing smart contracts rather than directly perceiving and processing real-world data. This design creates a “gap” between the EVM and the real world, making it difficult for external information to be integrated into the EVM in a direct and decentralized manner.

Limitations of the Chainlink Oracle Model

Chainlink oracles aim to introduce external data into the blockchain by having a network of nodes retrieve information from external sources and transmit it to smart contracts. However, this model has several limitations:

• ‍Centralized Authority: Chainlink itself functions as an oracle network, playing a centralized role in data validation and transmission. Although its network consists of multiple nodes, its core mechanism still relies on the authority of the Chainlink protocol.‍
• Inability to Penetrate the Consensus Layer: The data provided by Chainlink oracles must ultimately be written to the Ethereum blockchain via transactions. Since the EVM operates on top of Ethereum’s consensus layer, Chainlink cannot directly “penetrate” this layer but instead “feeds” data into the EVM through transactions. This process introduces uncertainty and latency.‍
• Limitations of Data Feeding: The oracle model is better suited for providing specific data points (e.g., prices, weather conditions) rather than handling complex, dynamic real-world information flows.

The GEB Three-Layer Model: A Decentralized Solution

The GEB model aims to enable decentralized, real-time transmission of real-world information to the EVM through a three-layer architecture:

1. ‍BitAgere Nonlinear Perception Layer:

• This layer is responsible for perceiving real-world information using a nonlinear perception system, designed to capture complex and dynamic real-world data more accurately and comprehensively.
• It transmits the perceived information to the WASM layer via GEB consensus currency, ensuring decentralized and secure data transmission.

2. ‍WASM Consensus Layer:

• The WASM (WebAssembly) layer, built on the GEB network consensus, receives data from the BitAgere layer.
• It serves as a data processing and verification hub, formatting and standardizing real-world data so that it can be understood and utilized by the EVM.
• This layer acts as an intermediary between real-world data and blockchain data.

3. ‍EVM Execution Layer:

• The EVM layer is built on top of the WASM virtual layer and shares all ledger data with the WASM layer, enabling seamless data transmission.
• With this architecture, the EVM can directly access real-world data processed and verified by the WASM layer, allowing real-time interaction with external environments.

4. ‍Advantages of the GEB Model

• ‍Decentralization: The GEB model achieves decentralized transmission and validation of real-world data through its layered architecture and consensus mechanism, eliminating reliance on a single centralized authority.‍
• Real-Time Processing: Since the EVM and WASM layer share ledger data, real-world information can be transmitted to the EVM in real time, enabling faster and more dynamic application scenarios.‍
• Complex Information Handling: The nonlinear perception layer and WASM processing layer allow for the integration of more complex and dynamic real-world data, expanding the EVM’s application scope.

Conclusion

Compared to Chainlink’s oracle model, the GEB three-layer model offers a more decentralized, real-time, and powerful solution for integrating real-world information. Through its layered architecture and consensus mechanism, the GEB model has the potential to break the isolation of the EVM and facilitate closer integration between blockchain and the real world.