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Why Opsec

Consensus Mechanism

To maximize security and handle AI workloads, OpSec uses a version of Delegated Proof of Stake (DPoS). Important characteristics consist of DPoS used by OpSec Network:

  • Validator Specialization: Nodes can focus on AI-related activities, and their reputation in the AI development community and computing capabilities will determine how much weight they are willing to stake. Validator sets are often cycled to ensure varied participation and reduce the potential of centralization.
  • Byzantine Fault Tolerance (BFT): The consensus mechanism known as Byzantine Fault Tolerance (BFT) is made to withstand malevolent actors and preserve network integrity even when there are malfunctioning nodes present.

Modular Architecture

  • Core Consensus Layer: Block creation, transaction validation, and basic blockchain functions are handled by the core consensus layer.
  • AI Execution Layer: The AI Execution Layer is a specialized layer created to facilitate the effective operation of LLMs, AI models, and interaction with TensorFlow and Langchain.
  • Privacy Layer: Zero-knowledge proofs, secure multi-party computing, and other privacy-preserving technologies are implemented at the privacy layer for sensitive AI calculations.
  • Connectivity Layer: The connectivity layer, which is necessary for many AI applications, allows for cross-chain communication and creates links with external data sources.

Developer Tools

  • AI-focused Smart Contract Libraries: Pre-built models and components for typical AI activities (such as federated learning, safe data sharing, and model deployment) in smart contracts.
  • WebAssembly Support (WASM): This might improve cross-compatibility and developer flexibility by providing WASM as a portable format for AI models.
  • Integrated Development Environments (IDEs): Simplified IDEs that come pre-configured with debugging tools, blockchain interface, and AI libraries.