Decentral management in an economy where resources are collectively owned.

[Ideas for humanity]

TL;DR
A decentralized economic management system, facilitated by digital platforms and competing algorithms, could offer a dynamic, efficient, and resilient approach to resource allocation and coordination in an automated economy. However, it would require careful design, robust governance mechanisms, and ongoing monitoring and adjustment to ensure fairness, transparency, and effectiveness.

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Some Q and A with chatGPT. Inspired by the ideas of the zeitgeistmovement and the venusproject.

NB If this content bothers you (because you hate/fear communism), note that I have the best intentions and that a resource based economy is different in that it doesn't have a monetary system and that the resources are collectively owned instead of owned by the government.



If agriculture, mining, construction, design, manufacturing, transportation and distribution were fully automated and the worlds population owned them, and everything these sectors produced were free, and there would be only fun and rewarding jobs, would people in those jobs still need to earn money?

ChatGPT
If agriculture, mining, construction, design, manufacturing, transportation, and distribution were fully automated and collectively owned by the world's population, and all goods and services produced by these sectors were free, this would represent a radical shift from the current economic model. In such a scenario, the need for money as we understand it could be significantly reduced or potentially eliminated. Here’s how it could work:

Economic and Social Implications
Basic Needs Covered:

If automation and collective ownership ensure that all basic needs (food, housing, clothing, transportation, etc.) are met for free, individuals wouldn’t need money to purchase these essentials.
Freeing Up Human Potential:

With essential goods and services provided for free, people could focus on jobs that they find fulfilling and rewarding, rather than working out of necessity.

Incentives for Work:

Motivation for work in such an economy would shift from earning money to intrinsic rewards, such as personal satisfaction, social contribution, and the pursuit of passion projects.
Transition to a Post-Money Economy
Provision of Goods and Services:

Efficient and equitable distribution systems would need to be established to ensure everyone has access to the automated goods and services.
Managing Scarce Resources:

Some resources may remain scarce even with full automation. Mechanisms for fair allocation would be required, which might include quotas, prioritization based on need, or other non-monetary systems.

Role of Money:

Money could still play a role in areas not covered by automation. For example, it might be used for luxury items, rare goods, or personalized services.
Fun and Rewarding Jobs

Types of Jobs:

Creative industries, research and development, arts and entertainment, education, and healthcare could become the primary fields of employment.
Social and community roles could flourish, focusing on improving quality of life and fostering human connections.
Motivation and Compensation:

Compensation might be in the form of social recognition, personal fulfillment, and contributions to communal well-being rather than traditional monetary rewards.
Systems could be developed to recognize and reward contributions in non-monetary ways, such as through social credits or other forms of appreciation.

Challenges and Considerations

Transition Period:

Transitioning to such a model would involve significant social and economic adjustments. There would be a need for robust social policies and educational systems to help people adapt.
Governance and Management:

Effective governance structures would be crucial to manage the collective ownership and ensure fair distribution and access to resources.
Decentralized and participatory decision-making processes could help maintain transparency and accountability.
Cultural Shift:

A cultural shift would be necessary to value intrinsic motivations over extrinsic monetary rewards. This would involve redefining success and societal contributions.

Conclusion
In a fully automated economy where essential sectors are collectively owned and goods and services are provided for free, the need for money could be drastically reduced. People could engage in work that is intrinsically rewarding and socially beneficial, driven by personal satisfaction and the desire to contribute to society. However, the transition to such a system would require careful planning, significant social and cultural changes, and the development of new governance and distribution mechanisms.

Could such an economy be managed docentrally, by people logging in to a platform and putting in their supply and demand, resources been put in, and competing algorithms doing the management?

2/2

ChatGPT
Yes, such an economy could potentially be managed in a decentralized manner using digital platforms and algorithms to coordinate supply and demand, allocate resources, and optimize production and distribution. Here's how it could work:

Decentralized Management System

Digital Platform:

A centralized digital platform could serve as the hub for economic activities, where individuals and organizations log in to input their supply and demand information, preferences, and resource availability.

Supply and Demand Matching:

Users would input their needs (demand) and available resources (supply) into the platform. Algorithms would then analyze this data to match supply with demand efficiently.
Resource Allocation:

The platform would use algorithms to allocate resources based on various factors, including urgency, priority, and efficiency.
Automated systems could optimize resource allocation to minimize waste and maximize utilization.
Feedback Mechanisms:

Users would provide feedback on the quality and efficiency of the system, helping to improve algorithms and decision-making processes over time.

Competitive Algorithms

Algorithmic Management:

Competing algorithms would continuously analyze data and make decisions on resource allocation, production schedules, pricing, and distribution.
These algorithms would compete to provide the most efficient and effective solutions, driving innovation and optimization in the economy.

Market Dynamics:

Algorithms would adapt to changing market conditions, consumer preferences, and technological advancements, ensuring a dynamic and responsive economic system.

Benefits of Decentralization

Efficiency:

Decentralized management can leverage the collective intelligence and information of participants to make more informed decisions.
Algorithms can analyze vast amounts of data quickly and make real-time adjustments, leading to efficient resource allocation and optimization.
Resilience:

Decentralization reduces the risk of single points of failure and increases the resilience of the economic system to disruptions and shocks.
Transparency and Accountability:

Decentralized platforms can provide transparency into decision-making processes, allowing users to understand and trust the system.
Accountability mechanisms can be built into the platform to ensure fairness and prevent abuse or manipulation.

Challenges and Considerations

Algorithm Bias:

Ensuring that algorithms are designed and trained to be fair, unbiased, and transparent is crucial to prevent discrimination or inequity.

User Adoption:

Encouraging widespread adoption of the platform and ensuring accessibility for all participants, including those with limited digital literacy or access, is essential.
Regulatory Framework:

Developing appropriate regulatory frameworks to govern decentralized economic systems and protect against potential risks or abuses is necessary.

Conclusion
A decentralized economic management system, facilitated by digital platforms and competing algorithms, could offer a dynamic, efficient, and resilient approach to resource allocation and coordination in an automated economy. However, it would require careful design, robust governance mechanisms, and ongoing monitoring and adjustment to ensure fairness, transparency, and effectiveness.

[Ideas for humanity]

I am working on a platform like this. The iteration I am making is an MBTI assessment tool where people do the assessment (as I find human assessment produces far better results than the questionnaires). AI would predict if assessments are correct and assessors would be rated. The assessors would charge money to their clients, and I would get a cut of that (I'm thinking 10%).

I have a budget of 10,000 euro in Bitcoin and the consensus is that my platform can be developed for 3-5K (the rest of the many would probably go to marketing).

Humans are key resources in an economy, the population would need to be thoroughly surveyed for optimal assignment.