GEB： Man machine symbiotic adaptive network with closed-loop driving and reality: a case study of auto drive system Although Luna/USDT and StepN have made remarkable progress in recent times, their rapid collapse has sounded the alarm for technological innovation in the cryptocurrency field and beyond. The fundamental reason lies in the fact that the business closed loop they constructed failed to effectively form a closed loop with the real environment, but instead established core values and business models on virtual products, lacking a solid connection and feedback with real-world values. In contrast, Bitcoin, whose value is generated and maintained partly due to the cost of energy consumption and the widespread consensus as a decentralized value storage and transfer medium, is to some extent linked to the resources and demands of the real world. This article will explore a larger architecture - a human-machine symbiotic adaptive network called GEB, which combines Bitcoin and BitAgere (a network for adaptive emerging commerce). In this network, GEB aims to drive a value ecosystem that forms an effective closed loop with the real environment. The adaptive auto drive system system discussed earlier is just a specific case of many adaptive emerging subsystems interacting with the real world in BitAgere. BitAgere： Formal System Integration with Reality Interaction The core of BitAgere lies in its "Agere" - each Agere is a nonlinear adaptive emergent system based on the combination and fusion of three formal systems, BEVM (lambda) or Bitcoin. Its design goal is to deeply interact with the real world and generate practical value. These Ageres can be various forms of adaptive systems, such as auto drive system that directly serve physical traffic, or other intelligent agents or commercial networks that combine with real industries. GEB： The value hormone that connects virtual and reality The core role of GEB in the entire BitAgere network is to drive the closed-loop value flow between various Agere systems and the real environment. It is not only a value medium within the network, but more importantly, it inspires the Agere system to create and capture real-world value, and feedback this value back into the network, forming a sustainable positive cycle. Adaptive auto drive system: as a practical closed loop subsystem of miner in BitAgere The adaptive auto drive system based on the Bitcoin concept we discussed earlier is a typical Agere instance in the BitAgere network, which aims to form a closed loop with the real traffic environment. Each autonomous vehicle can be regarded as a miner in the Agere system. Real data is mining output: Autonomous vehicles, as miners in BitAgere, perceive and contribute real-time road condition data by driving on real roads. These data can be seen as the output of its' mining ', directly reflecting the traffic conditions in the real world. Global Map Service Reality: A global map constructed and maintained by all miners in Agere for autonomous driving, whose core value lies in providing guidance for real-world autonomous driving behavior, improving traffic efficiency and safety. This is a value embodiment that directly serves practical needs. GEB incentivizes mining behavior: The incentive mechanism of GEB aims to reward miners who contribute more value to the real world. For example, autonomous vehicles (miners) that provide more comprehensive and accurate road condition data can obtain more GEB, which can be used to access other resources or services in the network, or exchanged with assets of real value. The global world autopilot program guide map is a whole. A single autonomous vehicle is an individual, while the autonomous vehicle and the overall world autopilot program guide map are real objects in the real world, and both can be cycled through GEB feedback in the Agere system. Avoiding the pitfalls of virtual closed loops: rooted in real value Unlike Luna/UT and StepN, which establish commercial closed loops based on the demand for their own virtual tokens, the GEB driven BitAgere network emphasizes the interaction and value creation between the Agere system and its internal miners and the real world. For example, the auto drive system directly creates real value by improving traffic efficiency and reducing accident rate, while the value of GEB comes from the capture and distribution of these real values. The key is that the value cycle must include inputs and outputs from the real world in order to form a stable closed loop. Conclusion: GEB driven human-machine symbiotic future with closed-loop reality GEB's vision is to build a human-computer symbiotic ecosystem based on Bitcoin, with BitAgere as an adaptive emerging network, and various Agere subsystems (such as the auto drive system and its internal miner) deeply interacting with the real world. In this ecosystem, GEB serves as the core value hormone, driving various Agere systems and their miners to create and capture real value, and feedback it back into the network, forming a sustainable closed loop. By emphasizing the connection with the real environment, the BitAgere network aims to avoid the risks of building on purely virtual value and ultimately achieve a more resilient and practical future. The key is to deeply embed the generation and circulation of value into the operation and needs of the real world.