中本聪大学
BNB Holder
High-Frequency Trader
9.8 Months
传播中本聪文化 由坏男孩联盟组织。官网: satoshiedu.com
2 Following
37 Followers
108 Liked
1 Shared
See original
PINNED
Blockchain is Dead, CAS Should Stand
Guo Hongjie - Founder of Nakamoto University
What mindset do we have when we join the blockchain industry? What has made us believe and persist for so long? To this day, does our original intention and what we desire still exist? If we had the chance to choose again, would we still make the same choice?
As time flies to the present, the tide gradually recedes, and illusions slowly dissipate. We are gradually emerging from the revelry of yesterday's indulgence. Although we still have reluctance, confusion, and attachment, we will ultimately face reality - "What exactly is blockchain? What can blockchain do? How much value can blockchain bring? What does blockchain have to do with me?"
What mindset do we have when we join the blockchain industry? What has made us believe and persist for so long? To this day, does our original intention and what we desire still exist? If we had the chance to choose again, would we still make the same choice?
As time flies to the present, the tide gradually recedes, and illusions slowly dissipate. We are gradually emerging from the revelry of yesterday's indulgence. Although we still have reluctance, confusion, and attachment, we will ultimately face reality - "What exactly is blockchain? What can blockchain do? How much value can blockchain bring? What does blockchain have to do with me?"
See original
Beyond Blockchain: Building the Order of Life in Cryptographic Systems with Nonlinear Dynamics
Currently, blockchain technology is widely used to build various cryptographic systems, but most systems only remain at the technical level, failing to exhibit sustained growth and evolutionary capabilities like Bitcoin. The reason lies in the fact that relying solely on blockchain technology cannot construct a true order of life. The success of Bitcoin is not merely due to blockchain technology but also stems from its emergence as a complex system with self-organization, adaptation, and emergence.
Blockchain: The technological cornerstone rather than the source of life
Blockchain technology, as a distributed ledger technology, provides cryptographic systems with secure, transparent, and traceable transaction records. However, blockchain technology itself is merely the cornerstone for building the order of life, not the source of life.
Blockchain: The technological cornerstone rather than the source of life
Blockchain technology, as a distributed ledger technology, provides cryptographic systems with secure, transparent, and traceable transaction records. However, blockchain technology itself is merely the cornerstone for building the order of life, not the source of life.
See original
Revisiting Bitcoin: The Singularity of Human Civilization Explosion?
Abstract: This paper critically reviews the traditional understanding of Bitcoin, which simplifies it as 'blockchain technology.' By analyzing the development path of blockchain technology represented by Ethereum, this paper points out that excessive focus on performance improvement and functional expansion deviates from the essence of Bitcoin. The true value of Bitcoin lies in its nature as a product of nonlinear complex science, showcasing the emergent order of life. From Poincaré's chaos theory to Wiener’s cybernetics, and to Yoshiki Kobayashi's synchronization model, this paper traces the context of nonlinear science, ultimately revealing the possibility of Bitcoin as a form of 'artificial life' and looking forward to its profound impact on future science, philosophy, and human civilization.
See original
Bitcoin and Temporal Self-Organization: Insights from the Kobayashi Model
In recent years, Bitcoin, as a decentralized digital currency, has attracted widespread attention. Its underlying technology, blockchain, is considered to have disruptive potential. However, the operational mechanism of Bitcoin, especially its consensus mechanism, remains a topic shrouded in mystery. This article attempts to explore the essence of Bitcoin from a new perspective, namely temporal self-organization theory.
From Newton to Poincaré: Challenges of nonlinear systems
Traditional scientific research, especially in physics, has long relied on mathematical tools such as calculus and differential equations. These tools are very effective at describing the interactions between one or two objects, as Newton successfully explained the two-body problem. However, when three or more individuals are involved, things become complicated. Poincaré proved that the differential equations of three-body motion have no solution, revealing the limitations of traditional mathematical tools in handling nonlinear systems.
From Newton to Poincaré: Challenges of nonlinear systems
Traditional scientific research, especially in physics, has long relied on mathematical tools such as calculus and differential equations. These tools are very effective at describing the interactions between one or two objects, as Newton successfully explained the two-body problem. However, when three or more individuals are involved, things become complicated. Poincaré proved that the differential equations of three-body motion have no solution, revealing the limitations of traditional mathematical tools in handling nonlinear systems.
See original
Four Major Technical Directions for Scaling #Bitcoin.
For the past decade, we have been contemplating how to scale the #Bitcoin network. With a deeper understanding, we are now aware of more comprehensive technical directions for scaling #Bitcoin.
To scale #Bitcoin, we must first understand what #Bitcoin is.
#Bitcoin is a Complex Adaptive System (CAS) composed of three types of formal subsystems.
The three types of subsystems are:
- 1. Individual sovereignty, 1:1 digital state, and individual self-mapping. (i.e., UTXO in Bitcoin)
- 2. P/NP perceptual reality, machine understanding of natural reality achieved through asymmetric solving and verification. (i.e., POW in Bitcoin)
- 3. Trust code consensus intermediaries, a notarization and execution environment based on code consensus. (i.e., Blockchain in Bitcoin)
Based on the above understanding of #Bitcoin, we can identify four major directions for scaling #Bitcoin technology.
First: Scaling applications based on UTXO-like individual sovereignty. Typical examples include the BRC20 or OmniLayer protocols, which are limited to assets; we can attempt to expand into various new applications such as DID.
Second: Expansion based on the P/NP perceptual reality subsystem, such as the BTC POW mining pool protocol, which is a type of this expansion technology. However, this is just a vertical extension based on BTC POW; we can explore horizontal expansion based on P/NP to promote the real-world application of cryptocurrency technology to serve the real economy.
Third: Blockchain technology, which is the direction where the most resources in cryptocurrency have been invested and is the most comprehensively explored technology. Technically, it has become largely transparent. Blockchain addresses the transparency of trust code rules. Therefore, in the field of DeFi, it has increased transparency compared to traditional finance.
Fourth: The largest area, which refers to the CAS technical solutions of Bitcoin, i.e., the directions of the above three areas. By learning from Bitcoin's CAS technology, we can integrate it into new CAS products similar to Bitcoin. This is the largest and most promising track, and it is also the area we have consistently overlooked because we are always trapped in local thinking failures.
For the past decade, we have been contemplating how to scale the #Bitcoin network. With a deeper understanding, we are now aware of more comprehensive technical directions for scaling #Bitcoin.
To scale #Bitcoin, we must first understand what #Bitcoin is.
#Bitcoin is a Complex Adaptive System (CAS) composed of three types of formal subsystems.
The three types of subsystems are:
- 1. Individual sovereignty, 1:1 digital state, and individual self-mapping. (i.e., UTXO in Bitcoin)
- 2. P/NP perceptual reality, machine understanding of natural reality achieved through asymmetric solving and verification. (i.e., POW in Bitcoin)
- 3. Trust code consensus intermediaries, a notarization and execution environment based on code consensus. (i.e., Blockchain in Bitcoin)
Based on the above understanding of #Bitcoin, we can identify four major directions for scaling #Bitcoin technology.
First: Scaling applications based on UTXO-like individual sovereignty. Typical examples include the BRC20 or OmniLayer protocols, which are limited to assets; we can attempt to expand into various new applications such as DID.
Second: Expansion based on the P/NP perceptual reality subsystem, such as the BTC POW mining pool protocol, which is a type of this expansion technology. However, this is just a vertical extension based on BTC POW; we can explore horizontal expansion based on P/NP to promote the real-world application of cryptocurrency technology to serve the real economy.
Third: Blockchain technology, which is the direction where the most resources in cryptocurrency have been invested and is the most comprehensively explored technology. Technically, it has become largely transparent. Blockchain addresses the transparency of trust code rules. Therefore, in the field of DeFi, it has increased transparency compared to traditional finance.
Fourth: The largest area, which refers to the CAS technical solutions of Bitcoin, i.e., the directions of the above three areas. By learning from Bitcoin's CAS technology, we can integrate it into new CAS products similar to Bitcoin. This is the largest and most promising track, and it is also the area we have consistently overlooked because we are always trapped in local thinking failures.
See original
The Differences Between Satoshi Nakamoto's Consensus and BFT PoS Consensus: Nonlinear Emergence and Linear Superposition
The core of blockchain technology lies in the consensus mechanism, which determines how distributed networks reach agreement and ensure the validity and security of transactions. Satoshi Nakamoto's consensus (PoW) and BFT-style Proof of Stake (PoS) consensus are two fundamentally different consensus mechanisms, with fundamental differences in design philosophy, mathematical models, and emergent characteristics, leading to three major defects in BFT PoS consensus.
1. Thermodynamic Work and Entropy-Increasing Systems:
Satoshi Nakamoto Consensus (PoW):
The PoW mechanism requires miners to perform a large amount of computational power operations, consuming electricity; this process is essentially thermodynamic work.
1. Thermodynamic Work and Entropy-Increasing Systems:
Satoshi Nakamoto Consensus (PoW):
The PoW mechanism requires miners to perform a large amount of computational power operations, consuming electricity; this process is essentially thermodynamic work.
See original
# The future of cryptocurrency does not lie in blockchain, but in CAS.
- Blockchain technology can only solve one problem: the liquidity problem. It displays one advantage: transparency, from trusting people to trusting code's transparency. The Ethereum technology forked from BSC and the EOS technology forked from TRX are typical products of blockchain technology implementation. Creating liquidity solutions for trust in blockchain technology that are more transparent than trusting people.
- BTC is not blockchain technology. It is CAS (Complex Adaptive System) technology.
# Bitcoin emerges CAS's non-linear adaptability from three types of formalized technology.
- 1. The mapping of UTXO's personal rights realizes decentralization. 1:1 human-computer interaction merges with humanity.
- 2. The asymmetric computational and verification of P/NP realizes perceptual reality. It merges with nature.
- 3. The consensus ledger serves as a centralized notarization of trust code, and only this technology is referred to as blockchain technology.
Therefore, the future of cryptocurrency lies in CAS (Complex Adaptive Systems), achieving various systems that are similar to BTC, capable of perceiving reality and protecting personal sovereignty in a human-machine symbiosis. The 10-year development of blockchain technology has already proven that blockchain technology is limited to the function of transparency in using trust code. It cannot solve the issues of perceiving reality and restoring human personal sovereignty (which is what decentralization is truly about).
- Blockchain technology can only solve one problem: the liquidity problem. It displays one advantage: transparency, from trusting people to trusting code's transparency. The Ethereum technology forked from BSC and the EOS technology forked from TRX are typical products of blockchain technology implementation. Creating liquidity solutions for trust in blockchain technology that are more transparent than trusting people.
- BTC is not blockchain technology. It is CAS (Complex Adaptive System) technology.
# Bitcoin emerges CAS's non-linear adaptability from three types of formalized technology.
- 1. The mapping of UTXO's personal rights realizes decentralization. 1:1 human-computer interaction merges with humanity.
- 2. The asymmetric computational and verification of P/NP realizes perceptual reality. It merges with nature.
- 3. The consensus ledger serves as a centralized notarization of trust code, and only this technology is referred to as blockchain technology.
Therefore, the future of cryptocurrency lies in CAS (Complex Adaptive Systems), achieving various systems that are similar to BTC, capable of perceiving reality and protecting personal sovereignty in a human-machine symbiosis. The 10-year development of blockchain technology has already proven that blockchain technology is limited to the function of transparency in using trust code. It cannot solve the issues of perceiving reality and restoring human personal sovereignty (which is what decentralization is truly about).
See original
Everything Has Meaning: From Maxwell to Satoshi Nakamoto, A Revolution of Metaphor
Introduction: Have you ever thought that there might be wonderful connections between seemingly unrelated fields? How did the physics giant Maxwell draw inspiration from fluid mechanics to eventually establish the theory of electromagnetic fields? How did John Holland, the 'father of genetic algorithms', glimpse the secrets of scientific innovation? Today, let us embark on this cross-temporal journey of thought, exploring the power of metaphor and envisioning a future where everything has meaning.
Metaphor: The Engine of Scientific Innovation
John Holland profoundly reveals the important role of metaphor in scientific innovation in his works (Emergence) and (Hidden Order). He believes that scientific progress often relies on transforming the laws and mechanisms of known fields into new unknown fields through metaphor.
Metaphor: The Engine of Scientific Innovation
John Holland profoundly reveals the important role of metaphor in scientific innovation in his works (Emergence) and (Hidden Order). He believes that scientific progress often relies on transforming the laws and mechanisms of known fields into new unknown fields through metaphor.
See original
Agent-Based Modeling Method: Analyzing the Internet and Bitcoin from the Perspective of Information Theory
In the study of complex systems, agent-based modeling provides an effective analytical framework. This method emphasizes the interactions among various 'agents' in the system and how these interactions affect the 'world state' of the entire system. This paper will adopt this method to conduct a comparative analysis of the internet and Bitcoin, two representative complex systems, from the perspective of information theory.
Shannon's Meaningless Internet:
Shannon's information theory laid the foundation for modern information communication. In his theory, the transmission of information is central, while the specific meaning of information is overlooked. Thus, we can view the internet as a 'meaningless' system based on Shannon's theory:
Shannon's Meaningless Internet:
Shannon's information theory laid the foundation for modern information communication. In his theory, the transmission of information is central, while the specific meaning of information is overlooked. Thus, we can view the internet as a 'meaningless' system based on Shannon's theory:
See original
From Mechanical Thinking to Emergent Intelligence: Five Milestones in the Development of Computer Science
The history of computer science is a magnificent epic of humanity's continuous exploration of the essence of computation, simulating and transcending its own intelligence. From the initial mechanical computation to today's artificial intelligence, five landmark papers not only established the cornerstone of modern computer science but also guided us toward the future.
Stage One: Mechanizing Human Thought
In the first half of the 20th century, three pioneers, with their exceptional insight, abstracted mathematics into logical operations and based it on 'bits', ushering in the era of mechanizing human thought.
Stage One: Mechanizing Human Thought
In the first half of the 20th century, three pioneers, with their exceptional insight, abstracted mathematics into logical operations and based it on 'bits', ushering in the era of mechanizing human thought.
See original
The NP-Completeness Problem: The Boundaries of Computation
Karp's Paper: Insights on NP-Completeness
In 1972, Richard Karp's paper (Reducibility in Combinatorial Problems) emerged, which is not only a milestone in computer science but also a profound exploration of the nature of computation.
Gödel and Recursive Functions
As early as the 1930s, Gödel introduced the concept of recursive functions. A recursive function is a function that can call itself, and it has important applications in both mathematics and computer science. Gödel proved that there are some recursive functions for which we cannot determine whether they will halt in a finite amount of time.
In 1972, Richard Karp's paper (Reducibility in Combinatorial Problems) emerged, which is not only a milestone in computer science but also a profound exploration of the nature of computation.
Gödel and Recursive Functions
As early as the 1930s, Gödel introduced the concept of recursive functions. A recursive function is a function that can call itself, and it has important applications in both mathematics and computer science. Gödel proved that there are some recursive functions for which we cannot determine whether they will halt in a finite amount of time.
See original
From Shannon to Wiener: Towards a Trust-Value Internet
The birth of the internet is undoubtedly one of the greatest inventions in human history. Claude Shannon's information theory laid a solid theoretical foundation for the internet. Shannon believed that information is used to reduce uncertainty and is unrelated to the meaning represented by the information itself. This view emphasizes the transmission and encoding of information, allowing any information to flow freely on the internet, constructing the information age we know today.
However, with the rapid development of the internet, we have gradually realized that information is not just meaningless bit streams; it also carries value, trust, and emotions. Norbert Wiener's information theory focuses more on the role of information in human society, emphasizing that information is an important component of communication between people, containing rich meaning and value.
However, with the rapid development of the internet, we have gradually realized that information is not just meaningless bit streams; it also carries value, trust, and emotions. Norbert Wiener's information theory focuses more on the role of information in human society, emphasizing that information is an important component of communication between people, containing rich meaning and value.
See original
How the Internet Based on Shannon's Information Theory Emerges the Trust Value of Wiener Information Theory
Claude Shannon's information theory laid the foundation for the modern internet. Shannon believed that information is something used to reduce uncertainty and is unrelated to the meaning represented by the information itself. This perspective emphasizes the transmission and encoding of information, allowing any information to flow freely on the internet.
However, Norbert Wiener believed that information is not just a collection of signals; it also contains meaning. Wiener's information theory focuses more on the role of information in human society, emphasizing that information is an important component of communication between people, containing rich meanings and values.
However, Norbert Wiener believed that information is not just a collection of signals; it also contains meaning. Wiener's information theory focuses more on the role of information in human society, emphasizing that information is an important component of communication between people, containing rich meanings and values.
See original
The Mirror of Existence: The Symphony of Information and Computation
Deep Thinking: Exploring the philosophical mirror of humanity, computers, and the UTXO world.
We are in an era of information explosion, with various concepts flooding in like tides. Today, we attempt to clear the fog and explore the profound connections between humanity, computers, and the UTXO world from a philosophical perspective. Here, UTXO represents all independent entities in the world of trust (not limited to the cryptocurrency attributes of Bitcoin).
Prologue: Existence, the symphony of information and computation.
"Existence" itself is a grand symphony of information and computation. Like a prism, it refracts different worlds. Humanity, computers, and UTXO reflect each other, mapping each other, collectively playing this symphony.
We are in an era of information explosion, with various concepts flooding in like tides. Today, we attempt to clear the fog and explore the profound connections between humanity, computers, and the UTXO world from a philosophical perspective. Here, UTXO represents all independent entities in the world of trust (not limited to the cryptocurrency attributes of Bitcoin).
Prologue: Existence, the symphony of information and computation.
"Existence" itself is a grand symphony of information and computation. Like a prism, it refracts different worlds. Humanity, computers, and UTXO reflect each other, mapping each other, collectively playing this symphony.
See original
From the I Ching to Artificial Intelligence Life: A Technological Evolution Across Time and Space
Human exploration of computation, logic, and intelligence has never ceased. From the ancient I Ching to modern Bitcoin, and to future artificial intelligence life, this path of technological development resembles a flowing river, connecting the past, present, and future.
One, The Origin of Computing: From the I Ching to Binary
In the 17th century, Leibniz drew inspiration from the yin-yang and eight trigrams of the I Ching in China, corresponding yin-yang dualities with 0 and 1, thus constructing binary computing theory. This was not only a breakthrough in mathematics but also contained profound philosophical ideas: all things in the world can be generated through the interaction of yin and yang dualities. The emergence of binary laid the foundation for the birth of modern computers and signified that humanity would use symbols and logic to express and manipulate the world.
One, The Origin of Computing: From the I Ching to Binary
In the 17th century, Leibniz drew inspiration from the yin-yang and eight trigrams of the I Ching in China, corresponding yin-yang dualities with 0 and 1, thus constructing binary computing theory. This was not only a breakthrough in mathematics but also contained profound philosophical ideas: all things in the world can be generated through the interaction of yin and yang dualities. The emergence of binary laid the foundation for the birth of modern computers and signified that humanity would use symbols and logic to express and manipulate the world.
See original
The Evolution Theory of Artificial Intelligence Life (I): The Formalization of Mathematical Symbols Emerges as Computers. The Origin of Computers and the Way Out for Mathematics: From Formalization to Computability.
The evolution of artificial intelligence life follows the emergence law where free individuals progress from simple to complex, with intelligence layer by layer.
First layer: the formalization of mathematical symbols emerges as computers. Mathematical symbols are abstract concepts, and through the Turing machine model, these symbols are endowed with computability and ultimately transformed into controllable physical entities—computers.
Second layer: individual computers evolve into internet parallel computing. The computational capacity of a single computer is limited, while the internet connects countless individual computers, forming a powerful parallel computing network that greatly expands the scale and efficiency of computation.
First layer: the formalization of mathematical symbols emerges as computers. Mathematical symbols are abstract concepts, and through the Turing machine model, these symbols are endowed with computability and ultimately transformed into controllable physical entities—computers.
Second layer: individual computers evolve into internet parallel computing. The computational capacity of a single computer is limited, while the internet connects countless individual computers, forming a powerful parallel computing network that greatly expands the scale and efficiency of computation.
See original
Bitcoin + AI = Artificial Intelligence Life?
Introduction:
Have you ever thought about what future artificial intelligence will look like? Just a powerful tool like GPT, or will it evolve into a living entity with its own consciousness? 🤔 Today, we will explore a bold hypothesis: artificial intelligence life may be born from the fusion of Bitcoin and artificial intelligence!
1. Bitcoin: The digital currency with 'vitality'
You may know that Bitcoin is a decentralized digital currency, but did you know it is also like a living entity? 😮
Resilient vitality: Despite market fluctuations, technological challenges, and even government suppression, Bitcoin remains strong and continues to grow. 💪
Have you ever thought about what future artificial intelligence will look like? Just a powerful tool like GPT, or will it evolve into a living entity with its own consciousness? 🤔 Today, we will explore a bold hypothesis: artificial intelligence life may be born from the fusion of Bitcoin and artificial intelligence!
1. Bitcoin: The digital currency with 'vitality'
You may know that Bitcoin is a decentralized digital currency, but did you know it is also like a living entity? 😮
Resilient vitality: Despite market fluctuations, technological challenges, and even government suppression, Bitcoin remains strong and continues to grow. 💪
See original
Bitcoin: Three-Tiered Computation and the Future of the Computing World
Introduction
Bitcoin is not just a cryptocurrency; it is a complex computing system. It connects human society, the internet, and an emerging world of trust-based computation. This article will delve into the three-tiered computational structure of Bitcoin, revealing the intelligent emergence mechanisms behind it and looking ahead to its impact on the future of the computing world.
Three-Tiered Computation: From Chaos to Order
The Bitcoin system can be seen as a three-tiered computational system, where each tier reflects an emergence process from disorder to order:
1. Human Society Computing The consensus of value among individuals in human society, culture, and energy (electricity) as inputs. Human society converts energy into electricity, powering computer networks and forming the internet. Outputs the computer world, providing infrastructure and energy for second-tier computation. Emergence: From individual consensus to collective consensus, forming social culture and value systems.
Bitcoin is not just a cryptocurrency; it is a complex computing system. It connects human society, the internet, and an emerging world of trust-based computation. This article will delve into the three-tiered computational structure of Bitcoin, revealing the intelligent emergence mechanisms behind it and looking ahead to its impact on the future of the computing world.
Three-Tiered Computation: From Chaos to Order
The Bitcoin system can be seen as a three-tiered computational system, where each tier reflects an emergence process from disorder to order:
1. Human Society Computing The consensus of value among individuals in human society, culture, and energy (electricity) as inputs. Human society converts energy into electricity, powering computer networks and forming the internet. Outputs the computer world, providing infrastructure and energy for second-tier computation. Emergence: From individual consensus to collective consensus, forming social culture and value systems.
See original
In-depth Understanding of Blockchain: Distributed Computing Models of Bitcoin and Ethereum
Reflection
The distributed computing model of the Individual model is mainstream. Bitcoin: The "Distributed Distributed Computing" model is more secure and reliable. The UTXO model is currently mainly used for currency, and its state model is relatively simple, with scalability still needing improvement. Although the UTXO model was originally designed for currency, its core concept can be extended to broader fields, generalizing the concept of "currency" to "everything", for example: Identity Authentication: UTXO can represent a user's identity information, achieving decentralized identity management. Data Storage: UTXO can represent data ownership and access permissions, building decentralized storage systems. Internet of Things: UTXO can represent the identity and status of IoT devices, enabling secure communication and data exchange between devices. Ethereum: The "Distributed Centralized Computing" model is similar to early computer time-sharing operating systems, where all users share the resources of one computer. This model has certain advantages in terms of efficiency but sacrifices some individual freedom and security. In the long run, not respecting the development direction of the "Individual model" may struggle to become mainstream.
The distributed computing model of the Individual model is mainstream. Bitcoin: The "Distributed Distributed Computing" model is more secure and reliable. The UTXO model is currently mainly used for currency, and its state model is relatively simple, with scalability still needing improvement. Although the UTXO model was originally designed for currency, its core concept can be extended to broader fields, generalizing the concept of "currency" to "everything", for example: Identity Authentication: UTXO can represent a user's identity information, achieving decentralized identity management. Data Storage: UTXO can represent data ownership and access permissions, building decentralized storage systems. Internet of Things: UTXO can represent the identity and status of IoT devices, enabling secure communication and data exchange between devices. Ethereum: The "Distributed Centralized Computing" model is similar to early computer time-sharing operating systems, where all users share the resources of one computer. This model has certain advantages in terms of efficiency but sacrifices some individual freedom and security. In the long run, not respecting the development direction of the "Individual model" may struggle to become mainstream.
See original
Emergence Self-reference
Non-deterministic computation transcends the limits of computation, representing true intelligence
The formalized system of Bitcoin: emergence and individuality
In the previous analysis, we explored the formal characteristics of the UTXO model within the Bitcoin system and proposed the incommensurability between cognition and expression among individuals. In this section, we continue to delve into the essence of the Bitcoin system as a distributed formal system and how it forms a complex, emergent, adaptive nonlinear system through the interaction between individual computational behavior and structural rules.
The formalized system of Bitcoin: emergence and individuality
In the previous analysis, we explored the formal characteristics of the UTXO model within the Bitcoin system and proposed the incommensurability between cognition and expression among individuals. In this section, we continue to delve into the essence of the Bitcoin system as a distributed formal system and how it forms a complex, emergent, adaptive nonlinear system through the interaction between individual computational behavior and structural rules.
Login to explore more contents
Explore the latest crypto news
⚡️ Be a part of the latests discussions in crypto
💬 Interact with your favorite creators
👍 Enjoy content that interests you
Email / Phone number
Trending Topics
BitcoinReserveDeadline
94,401 views
659 Discussing
📢📢📢Big Announcement.
#BitcoinReserveDeadline
Major Moment for Bitcoin in the U.S. Today!
May 5 marks a key deadline for the U.S. Treasury to decide whether the government should establish a Bitcoin reserve — essentially a digital counterpart to gold storage.
The upcoming report will explore:
1 Methods and locations for storing Bitcoin
2 Legal frameworks required
3 Oversight and management responsibilities
If approved, this could be the first step toward the U.S. officially recognizing Bitcoin as a national asset — potentially reshaping how the government approaches crypto.
👀 All eyes in the crypto space are on this!
$BTC
#BitcoinReserveDeadline
Ms nawaz 709
0 Likes
138 views
BinanceLaunchpoolSXT
3,336 views
61 Discussing
USStablecoinBill
804,979 views
11,605 Discussing
