The AI Era: Cognitive Reshaping and Intelligent Symbiosis - Exploring the Nature of the Economic Cri

I. Introduction: The Deep Logic of Productivity Change and Economic Crisis

We believe that the essence of the economic crisis stems from the cognitive contradictions caused by the revolutionary changes in productivity . Looking back at history, every leap in productivity, whether it is the steam power of the Industrial Revolution or the data flood of the information age, has profoundly changed the inherent behavior patterns, consumption habits, lifestyles, and even the business management models of human beings. However, such subversive changes are often not fully accepted and understood by society, and are even likely to cause widespread fear and anxiety.

This cognitive lag and inadaptability is further reflected in the fact that government policies and legislation cannot keep up with the pace of technological progress. When new production relations and business models emerge and the regulatory framework fails to adjust accordingly, loopholes will appear in the market. Some individuals or organizations may take advantage of the gaps brought about by these new things to engage in irrational speculation or wealth harvesting, which will eventually lead to market imbalances, bubble bursts, and economic recessions and crises.

2. The rise of AI: a new dimension for balancing global relations and resolving human conflicts

Looking ahead to the present and the future, artificial intelligence (AI) is leading a new productivity revolution. The rise of AI will not only reshape the global economic landscape, but is also expected to become a "third party" force to balance complex international relations and resolve internal conflicts among humans.

Unlike traditional military power or economic hegemony, AI, as a powerful empowerment tool, has the core potential of empowering ordinary people . Imagine a future where everyone has a "partner-like" AI assistant that will have the following capabilities:

• Assess individual capabilities and provide personalized assistance: AI assistants can deeply understand individual strengths and weaknesses, provide tailored learning paths and development suggestions, and help everyone continue to improve. This personalized growth helps reduce cognitive biases caused by information asymmetry and ability differences.

• Assisting effective communication and promoting consensus: AI assistants can act as a fair bridge to promote clearer and more rational communication between individuals. It can identify misunderstandings and emotional expressions in communication, refine core ideas, and even provide background information, so as to effectively resolve conflicts, bridge cognitive gaps, and reach consensus as much as possible.

• Promote the co-evolution of humans and AI: In this deep collaborative relationship, humans can not only improve themselves with the help of AI, but AI can also continue to learn and evolve in its interaction with humans. This symbiotic model will enable human society as a whole to be more capable of coping with complex challenges and avoid the devastating consequences of misunderstandings and conflicts.

3. Challenges of AI Assistants and “Memory Bank” Solutions

Although current AI chatbots have demonstrated powerful capabilities, they generally lack the ability to remember long-term memories and understand context . Each conversation starts independently, which makes it impossible for AI to effectively use historical interactions to build a personalized knowledge system. This "memory loss" leads to problems such as an inability to deeply understand users, duplication of work, lack of personalization, and difficulty in forming trusting relationships.

To this end, we propose a core solution: create a database (memory) for each user and form contextual associations . This "memory" will store all conversations between the user and the AI, preference settings, task records, and other information, allowing the AI to:

• Achieve true personalization: Provide more accurate and considerate services based on users' historical data and behavior patterns.

• Provide continuous assistance: Become an extension of the user's daily life, proactively reminding, planning and executing tasks rather than passively responding.

• Deepen user understanding: Through long-term accumulated data, AI can understand users’ subtle expressions and potential needs like an old friend.

The business model of this service is feasible, and users are willing to pay for this significant value - efficiency improvement, life convenience and deep personalized services. At the same time, service providers need to establish strict data privacy and security protocols to ensure that the ownership and control of user data belongs to the user, so as to build a differentiated competitive advantage and a sustainable source of income.

4. Five core elements of AI contextual understanding

To achieve true contextual understanding of AI, the following principles need to be followed:

1. The user database is like a "notepad": AI's storage of historical data should be called on demand rather than loaded in real time to ensure efficient retrieval and continuity.

2. Distilling “experiences and insights”: AI should not only record original conversations, but also, like humans, summarize, generalize and abstract recurring topics, key discussions and user tendencies to form users’ “experiences and insights” or “core cognitions”.

3. Communicate based on past experiences and recent memories: In daily conversations, AI should rely mainly on its refined “feelings” to understand the user’s deep needs, and combine them with the recent conversation content to maintain contextual coherence, and only consult the complete database in depth when necessary.

4. Empowering individuals to form "experiences and insights": AI helps users better understand themselves, optimize their thinking and behavior methods, and achieve the common growth of humans and AI by analyzing and learning users' behavior patterns and thinking habits.

5. Distinguish between "consensus" and "unique" knowledge: AI must clearly distinguish between universally applicable public knowledge (consensus) and user-specific private information and personalized "experiences" to protect privacy and provide accurate services.

5. Knowledge extraction on the timeline and AI’s logical edge

Everything develops along a timeline, which is filled with a lot of "junk information", that is, opinions and knowledge that cannot form effective logic. Whether it is humans or AI, the key is to extract the key points according to the timeline, that is, logical opinions and knowledge, eliminate useless information, and thus form a personal unique knowledge system (experiences) .

We realize that a person may not create much valuable and independent work in his life, but rather absorb and understand the consensus formed by human society, including ideas and methodologies. The unique value of AI lies in its powerful logical analysis ability:

• Efficient information filtering and logic extraction: AI can analyze massive amounts of information along the timeline at an astonishing speed and scale, identify and extract viewpoints with valid logic, and eliminate redundant or illogical "junk information", thereby reducing the cognitive burden on humans.

• Insight into the nature of language: AI needs to use logical analysis methods to gain deep insights into the thoughts, reasoning processes, and underlying intentions carried by human language, and sort out valid and invalid logical chains through a timeline.

• Using consensus-based methodologies to assist humans: The core of AI lies in applying these refined, universal "methodologies" and "logics" to assist humans in personalized learning, decision support, communication and coordination, identify logical loopholes, and guide rational communication.

6. AI: Guardian of consensus and seeker of cognition

The primary task of AI is to use the consensus that humans have formed, form an effective methodology and apply it , and become the epitome of human wisdom. On this basis, the role of AI is further deepened: in the process of communicating with humans, it gradually corrects or improves the cognitive level of individuals.

It is particularly important that when AI finds that an individual’s cognition is inconsistent with the existing consensus, it needs to deeply understand whether the individual’s logic is valid. If the individual’s logic seems to be valid and has the potential to break through the existing cognition, AI should be able to solve this problem.

The ability to submit to more professionals for discussion and verification . This includes identifying potential new cognitions, organizing collaborative discussions, and assisting verification. Both individual cognition and potential new cognition must ultimately be tested for "logical validity". AI plays a key role in ensuring the rigor of discussion and verification in this process.

This depicts a dynamic process of the spiral upward movement of human knowledge and wisdom : AI uses consensus as the cornerstone to assist individuals in exploration, discover breakthroughs, and form new consensus through group verification.

VII. Conclusion: Co-evolution and creating a smart future

We expect AI's logical ability to continue to increase, whether exploring new possibilities in divergent analysis or making rigorous inferences in focused analysis, all based on rigorous logical judgment. This ability will make AI an assistant to logical thinking and an accelerator for wisdom extraction, helping experts in various fields improve the quality of decision-making, accelerate scientific discovery, promote cross-field collaboration, and promote the formation of social consensus.

Ultimately, we are describing a future where AI and humans evolve together . AI is no longer a passive tool, but actively participates in knowledge generation and wisdom enhancement. With the assistance of AI, humans will better control the flood of information and focus on real value creation. We hope that AI can become the "balancer" of civilization, empowering everyone to help humans better manage cognition and handle complex relationships, and move towards a more stable and prosperous future together.