According to @DeepLearningAI, Shanghai Artificial Intelligence Laboratory introduced the open-source Science Context Protocol (SCP), architecturally distinct from MCP, to enable AI agents to plan, run, and reproduce scientific experiments across institutions and disciplines. Source: DeepLearning.AI on X (Jan 14, 2026). SCP centers on versioned, traceable experiments coordinated through centralized hubs to standardize reproducibility and oversight. Source: DeepLearning.AI on X (Jan 14, 2026). Its design aims to securely connect models, tools, robots, and researchers into automated research workflows that scale scientific discovery. Source: DeepLearning.AI on X (Jan 14, 2026). For traders: the source does not mention any token, blockchain, or crypto integration; the framework emphasizes centralized orchestration rather than decentralized protocols, implying no direct on-chain component cited. Source: DeepLearning.AI on X (Jan 14, 2026).