The collaboration between IQ AI and NEAR is fundamentally about enabling AI agents to operate across chains autonomously, without human intervention. From a technical perspective, the 600ms block time and 1.2 seconds confirmation speed of @NEARProtocol is indeed fast enough. For AI agents, the shorter the wait time, the better; after all, AI decision-making is inherently faster than human decision-making. If there is still a wait time before execution, the overall efficiency becomes relatively lagging. This speed can essentially achieve real-time responses. Previously, cross-chain operations were already complex enough for ordinary users, let alone having AI agents handle various bridging logics. Now, with direct integration into the development toolkit, AI agents can autonomously complete cross-chain operations, thereby lowering the operational threshold. From a strategic standpoint, this is about seizing the infrastructure position in the AI economy. The popularity of AI agents is rising, but there are still few infrastructures that allow AI agents to directly access the transaction layer and participate in on-chain economic activities. Through this collaboration, NEAR has solidified its position as a Layer 1 infrastructure for artificial intelligence and agents. In fact, the needs of AI agents differ from those of users themselves. Humans can tolerate complex operational processes, can wait for confirmation times, and can manually handle various exceptions. However, AI agents require a standardized, automated, and highly efficient execution environment. From the application scenario perspective, executing cross-chain transactions is indeed very practical. If AI agents can simultaneously monitor arbitrage opportunities across multiple chains and automatically execute cross-chain arbitrage upon discovering opportunities, the entire process would not require user involvement, as the arbitrage opportunities far exceed what users can handle themselves. If multiple agents can also work collaboratively, it could generate even greater value. For NEAR, this is a great differentiation positioning. While many Layer 1s are competing on TPS and ecosystems, focusing on the vertical field of AI agents through collaboration with @IQAICOM and accumulating a solid foundation early on is quite meaningful for the future.