Although Luna/UST and StepN once made impressive progress, their eventual rapid collapse sounded the alarm for both the cryptocurrency space and broader technological innovation. At the root of the problem lies the failure of their business loops to effectively form a closed loop with the real environment. Instead, they built their core value and business model upon virtual products, lacking a solid connection and feedback with real-world value.
In contrast, Bitcoin derives and maintains its value partly from the cost of energy consumption and the widespread consensus as a decentralized medium for value storage and transfer, thereby creating a certain degree of linkage with real-world resources and needs.
This article explores a grander architecture — a human-machine symbiotic adaptive network called GEB, which combines Bitcoin and BitAgere (a network for adaptively emerging business). In this network, GEB aims to drive a value ecosystem that forms an effective closed loop with the real-world environment. The previously discussed adaptive autonomous driving system is just one specific example among many adaptive emergent subsystems in BitAgere that interact with the real world.
BitAgere: A Formalized System Interacting with Reality
The core of BitAgere lies in its “Agere” — each Agere is a nonlinear adaptive emergent system formed through the integration of three types of formal systems based on BEVM (lambda) or Bitcoin. Its design goal is to deeply interact with the real world and generate actual value. These Ageres can take various forms of adaptive systems, such as autonomous driving systems directly serving physical transportation, or other intelligent agents or business networks integrated with real-world industries.
GEB: A Value Hormone Connecting the Virtual and Real Worlds
Within the entire BitAgere network, the core role of GEB is to drive value flows that form closed loops between each Agere system and the real environment. It is not only a value medium within the network but, more importantly, an incentive for Agere systems to create and capture real-world value and feed that value back into the network, forming a sustainable positive feedback loop.
Adaptive Autonomous Driving System: A Real-World Closed-Loop Subsystem Acting as a Miner within BitAgere
The adaptive autonomous driving system based on Bitcoin concepts, previously discussed, is a typical example of an Agere in the BitAgere network that aims to form a closed loop with the real traffic environment. Each autonomous vehicle can be regarded as a miner within this Agere system.
Autonomous vehicles, as miners within an Agere in BitAgere, generate real-world road condition data while driving in the real world. This data can be considered their “mining output,” directly reflecting actual traffic conditions.
The global map constructed and maintained by all autonomous vehicle miners within Agere derives its core value from guiding autonomous driving behavior in the real world and improving traffic efficiency and safety — a direct embodiment of serving real-world needs.
GEB’s incentive mechanism is designed to reward miners who contribute more real-world value. For instance, autonomous vehicles (miners) that provide more comprehensive and accurate traffic data can earn more GEB. This GEB can be used to obtain other resources or services within the network or be exchanged for assets with real-world value. The global autonomous driving program guide map is the whole, individual autonomous vehicles are parts, and both the autonomous vehicles and the guide map as a whole are real-world physical entities. The two can be connected in a feedback loop through GEB within the Agere system.
Avoiding the Trap of Virtual Loops: Rooted in Real-World Value
Unlike Luna/UST and StepN, which built their business loops on the demand for their own virtual tokens, the GEB-driven BitAgere network emphasizes the interaction and value creation between Agere systems (and their internal miners) and the real world. For example, the autonomous driving system directly creates real-world value by improving traffic efficiency and reducing accident rates, while GEB’s value comes from capturing and allocating this real-world value. The key is that the value loop must include inputs and outputs from the real world in order to form a stable closed loop.
Conclusion: A GEB-Driven, Closed-Loop Human-Machine Symbiotic Future
GEB’s vision is to build a human-machine symbiotic ecosystem grounded in Bitcoin as the value foundation and BitAgere as the adaptively emergent network, where various Agere subsystems (such as autonomous driving systems and their internal miners) deeply interact with the real world. Within this ecosystem, GEB acts as the core value hormone, driving each Agere system and its miners to create and capture real-world value and feed it back into the network, forming a sustainable closed loop. By emphasizing connection with the real environment, the BitAgere network aims to avoid the risks of purely virtual value structures and ultimately realize a more resilient and practically useful future. The key lies in rooting the generation and circulation of value deeply within the operations and needs of the real world.
