BEVM (λ) aims to build an Internet based on trust and value. It draws on the ideas of Kapu, G ö del, Turing, Satoshi Nakamoto, and others, and is inspired by the McCulloch Pitts neuron model, proposing six core design principles: -UTXO structured -Consensus mechanism guarantee -Open and transparent environment -Thermodynamic work -Self directed modeling -Perceived automata. BEVM (λ) aims to construct a Wiener style trust value network based on Shannon information theory, ultimately achieving a future network world of free flow of information, secure exchange of value, autonomous evolution of the network, and deep integration of virtual and real. In his 1972 paper "Reductability in Combinatorial Problems," Richard Karp revealed the boundaries of computation and classified a series of important combinatorial problems as NP complete problems. He also pointed out that if one of the problems has an efficient solution, all NP problems will be solved head-on. However, whether P equals NP remains an unsolved mystery to this day. Kapu's work connects G ö del's recursive functions with Turing's computability theory, and has profound implications for both computational complexity theory and human cognitive exploration. It is against this background that BEVM (λ) attempts to break through the boundary of computing and build an Internet based on trust and value. It not only draws inspiration from Satoshi Nakamoto's use of UTXO and PoW mechanisms in Bitcoin to transform meaningless information into meaningful trust values, but also draws inspiration from the connectionist ideas in the McCulloch Pitts neural model, and combines a profound understanding of G ö del's incompleteness theorem and Turing's computability theory to propose six core design principles: 1. UTXO structure: transform the information on the Internet into a UTXO structure with clear meaning and value, such as transforming digital assets, identity information, intellectual property rights and other information into UTXO, making it traceable, verifiable and tradable. This is similar to mapping physical assets from the real world to the digital world, giving them a trusted digital identity. 2. Consensus mechanism guarantee: By using PoW or other consensus mechanisms, the uniqueness and immutability of UTXO are ensured, establishing the foundation of trust. As revealed by G ö del's incompleteness theorem, there are unprovable propositions in any form of system, and consensus mechanisms establish a "relative truth" in decentralized networks, ensuring the reliability of information. 3. Open and transparent environment: Build an open, transparent, and secure network environment where people can freely exchange and use meaningful information. This is similar to the simulation of computing processes by Turing machines. In an open environment, information is like symbols on Turing machine paper tape, which can be freely read and processed, promoting the flow of information and the exchange of value. 4. Thermodynamics doing work: through "thermodynamics doing work", the meaningless and disordered Shannon information theory Internet will be transformed into a meaningful and orderly Wiener information theory and a vital value network. This is similar to the evolution of living systems from disorder to order, guiding networks towards more valuable directions through incentive mechanisms. 5. Self directed modeling: endowing the network with intelligence, enabling it to autonomously learn, evolve, and adapt to environmental changes. The network can automatically adjust its structure and parameters based on user behavior, transaction information, etc., optimize resource allocation, and improve efficiency. This is similar to the learning ability of neural networks in the McCulloch Pitts neural model, which achieves self evolution of the network by continuously adjusting the connection weights. 6. Perceptual automata: Introducing perceptual abilities into the network to enable it to perceive information from the physical world. For example, collecting environmental data, user behavior data, etc. through IoT devices, and adjusting network behavior based on perception results to achieve interaction between the network and the physical world. This allows the internet to no longer be limited to the virtual world, but to interact with the real world and create greater value. The six design principles of BEVM (λ) reflect a profound reflection on the essence of computation, the value of information, and human cognition. It attempts to build a meaningful trust value Internet of Wiener style on Shannon's meaningless information Internet, and finally realize a future network world of free flow of information, safe exchange of value, independent evolution of the network, and deep integration of virtual and real. McCulloch Pitts Neuron Model: The Inspiration for BEVM (λ) The design inspiration for BEVM (λ) was partly derived from Warren McCulloch and Walter Pitts' 1943 paper "Logical Calculus of Intrinsic Thoughts in Neural Activity". This paper proposes the McCulloch Pitts neuron model, which is not only the beginning of neural network research, but also contains profound scientific philosophical logic. This model simplifies neurons into a logical unit, which outputs two states of "excited" or "inhibited" by comparing the weighted sum of input signals with a threshold. This simplification captures the most fundamental characteristics of neuronal activity and achieves a logical description of neuronal activity. More importantly, the McCulloch Pitts model emphasizes the connections and interactions between neurons, believing that thinking and intelligence are generated by a large number of neurons working together, which coincides with the self directed modeling principle of BEVM (λ). BEVM(λ)： Vision of the future The exploration of BEVM (λ) is not only a breakthrough in technological boundaries, but also an expansion of human cognitive boundaries. It tries to answer a basic question: Can we build a more intelligent, credible and valuable network world beyond the limitations of the existing Internet? The future of BEVM (λ) is full of infinite possibilities. It may reshape our understanding of information and value, and ultimately lead us towards a better digital age.