Beyond the boundaries of technology: the future development of AI+Web3

This is an article with extremely high information density and the most comprehensive analysis of AI Web3 in the industry.

This article comprehensively covers multiple fields such as academic inquiry and business trends, deeply explores the roots of the myth of decentralization, and makes a theoretical contribution to the unified field of AI Web3's entry into the history of concepts.

This article uses 10 representative AI Web3 projects, cites dozens of AI and Web3 related articles, papers, etc., and provides insight into the ten possible development trends of AI Web3 in 2024.

This article aims to help readers understand the AI Web3 industry more clearly, eliminate misunderstandings and prejudices about it, and provide readers with guidance for the future development of AI Web3.

Preface

In the past year, I have often faced friends in the AI field who questioned and criticized Web3; I also often faced friends in the Web3 field who were conservative and wait-and-see about AI.

AI and Web3 are a natural match. It is really inappropriate for practitioners to eliminate each other due to prejudice.

Therefore, I try to deeply explore the causes of cognitive differences and biases in the technical route from the perspective of conceptual history, historical time analysis, and the cybernetic perspective of language analysis philosophy and epistemology.

This article mainly answers the criticism of decentralization by AI practitioners and eliminates their long-standing doubts. At the same time, this article also points out the fundamental reason why "decentralization belief" has caused ideological dilemma for the Crypro/Web3 industry in recent years.

I am trying to answer a truth, so that AI Web3 can achieve true integration, remove our ideological obstacles to it, and achieve a fundamental change in the epistemological paradigm.

Explanation

From the design of the entire writing logic and expression sequence, the author intends that in this environment where fragmented information is flooding, this article will build a reading field for you to think deeply.

This article is divided into three parts, from research paradigm and analysis logic, to case introduction and analysis insights, as well as prediction of future development trends. These three parts are progressively related. Guide you into a reading space of deep thinking.

This article is 20,000 words long and took the author half a month to write. It is worth your time to read.

There are still many shortcomings in independently exploring the huge proposition of AI Web3. Readers are kindly asked to forgive any shortcomings such as imperfections/omissions/lack of rigor.

1 Research Paradigm and Philosophical Insight

Insight into the current extensive discussion context

How do we discuss AI Web3

In the current Chinese Internet , serious thinking about exploring AI Web3 is scarce, and among the known cognitive paradigms, the most common one is to quote the theoretical explanation of social production in historical materialism, that is, productivity determines production relations.

AI represents productivity and Web3 represents production relations. As productivity and production relations, AI Web3 interacts with each other and will create a new social production system. This is currently the most widely accepted discussion context for AI Web3. As I In the explanation of this article, the future collaboration methods, cooperative organizations and production spaces between AI agents and humans (long article of 10,000 words)

Another AI Web3 cognitive paradigm worthy of attention is from the perspective of cybernetics Starting from history, that is, the historical interpretation of the concept of "Autonoumous" and the technical philosophy of exploring cybernetics from the perspective of machine autonomy.

In this historical exploration, from cybernetics to computers, AI and Web3 are the same technological pursuit of "autonomy" with different paths to achieve it. A typical example of this understanding paradigm is explained by Wang Chao (a cross-field investor in AI Crypto) in his article "The Historical Intersection of AI and Crypto."

In the current epistemological paradigm of AI Web3, there is a gap between the knowledge system and historical concepts, leading to the separation of academics, technology and talents.

If we can fundamentally eliminate the gap between the two, I believe that the widely pursued integration consensus of AI Web3 Metaverse will accelerate the integration of technical routes and promote the overall transition of the technology industry, and promote human beings. Further development in digital civilization.

In this article, I will introduce more new cognitive paradigms, from interdisciplinary integration to cross-media narrative, from language analysis philosophy to time analysis theory of historical concepts.

Constructing the research paradigm of AI Web3 from first principles

Looking for correlations and possibilities in the thinking field

In the current exploration of AI Web3, many fragments are used These fragmented discussions often lack supplementary context and the construction of an independent and in-depth thinking field.

In the absence of pre-context and consensus field, due to different purposes and motivations, AI Web3 is naturally prone to disputes over different technical routes, which also makes it difficult for AI Web3 to reach consensus.

Due to the fragmentation of information caused by the mobile Internet and the information cocoon built by recommendation algorithms, communication in the Internet context is generally dominated by one-way collision of opinions, and a large number of biased opinions are mixed. The collision of opinions creates cognitive fallacies that shape widespread public opinion.

Any serious discussion needs to deconstruct the information environment and reconstruct a thinking field with two-way and in-depth communication.

In my current exploration, online or offline workshops are the best way to build an effective communication and thinking field. Discussions on high-value propositions must be conducted in a field of high-quality information exchange and in-depth thinking.

AI Web3 is an extremely complex but extremely valuable research proposition, and all generalized exchanges must be avoided.

When we consciously build a field where we can think deeply, we can establish the "relevance of seeking common ground while reserving differences" and the possibility of "harmony without difference" for many different opinions. sex"

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