A Quick Look at Universal Basic Calculation (UBC) White Paper

Compiled by Anderson Sima, Foresight News

On November 27, artificial intelligence technology entrepreneur Lester Paints announced the launch of Token UBC on pump.fun. UBC refers to Universal Basic Compute, aiming to establish a fair framework for the distribution of artificial intelligence resources. Lester Paints claimed to have built NLR for more than two years, and Token UBC will be a bridge between the future public participation in artificial intelligence infrastructure. According to DEX Screener data, UBC's current market capitalization is 8190 million US dollars.

The "Universal Basic Compute (UBC) and Universal Basic Compute Harbor (UBCH)" is a White Paper on innovative concepts in the field of artificial intelligence. It proposes the Universal Basic Compute (UBC) and Universal Basic Compute Harbor (UBCH) projects, aiming to ensure fair and sustainable access to computing resources for all autonomous AI entities and achieve fairness and sustainability in the field of artificial intelligence. The following content is a compilation and summary of the White Paper.

UBC concept

Definition and Basic Principles: UBC aims to ensure a minimum amount of computing resources, including CPU and GPU Computing Power, memory, storage capacity, network bandwidth, etc., for each autonomous artificial intelligence entity, with principles of generality, basic protection, computational fairness, sustainability, and flexibility.

Comparison with UBI: Similar to the concept of Universal Basic Income (UBI) for human beings, UBC and UBI are both aimed at providing basic resource guarantee, reducing inequality and promoting autonomy for beneficiaries. However, there are differences in terms of beneficiaries, nature of resources, main objectives, distribution methods, quantification methods, adjustment basis, and implementation challenges.

Background and Origin: The emergence of the UBC concept is closely related to factors such as the rapid development of AI and machine learning, the exponential rise in computing resource demand, the popularization of AI technology, the development of cloud computing and Edge Computing infrastructure, AI ethics discussions, and similarities with the UBI concept.

The importance of AI development: UBC helps democratize AI, drop entry barriers, promote innovation; ensure the sustainability of autonomous AI, enabling continuous learning and evolution; promote fair distribution of computing resources, reduce technological inequality; accelerate AI innovation and promote technological breakthroughs; enhance the resilience of the AI ecosystem and create a stable environment for long-term development; lay the foundation for the development of general artificial intelligence.

Potential application examples: UBC has wide-ranging potential applications in personal AI assistants, smart sensor networks, autonomous vehicles, online game AI, Decentralization recommendation systems, AI trading agents, AI research assistants, predictive maintenance systems, and natural resource management, etc., enabling AI to continuously enhance its capabilities in different scenarios.

UBCH Project

Vision and Mission: The UBCH project aims to achieve the UBC concept globally, creating a fair, sustainable, and innovative AI ecosystem, enabling every AI entity to access the necessary computing resources for operation and development.

Short-term, medium-term, and long-term goals: Short-term goals include developing functional prototypes of UBC infrastructure, establishing strategic partnerships, and initiating pilot projects; medium-term goals are to deploy infrastructure on a large scale, attract a large number of users and contributors, and establish standards and protocols; long-term goals are to incorporate UBC into national and international AI policies, create a self-governing and self-regulating AI ecosystem based on UBC, and expand it to other technological fields.

Project Structure and Organization: The UBCH project consists of departments such as research and development, operation, partner relations and adoption, governance and ethics, as well as finance and sustainability.

Current partners and collaborators: The UBCH project has established partnerships with technology companies such as Google Cloud, Microsoft Azure, Amazon Web Services, academic institutions such as MIT, Stanford University, University of Toronto, non-governmental organizations such as the Mozilla Foundation, the Electronic Frontier Foundation, as well as AI startups such as DeepMind, OpenAI, Anthropic, etc.

The rationality and importance of UBC for autonomous AI

Autonomous AI computing requirements: Autonomous AI, especially AI based on Depth learning models, have huge and continuously rising computing requirements in areas such as initial training, real-time inference, continuous learning, data storage and management, simulation, and testing.

The limitations of current AI development: AI development and deployment face constraints such as high costs, unequal access to resources, challenges in sustainable energy, and scalability issues.

Advantages of UBC to the evolution of AI: UBC provides many advantages for the evolution of AI, including democratizing AI, promoting diversity and innovation; ensuring the continuity of autonomous AI operation; reducing the gap between large tech companies and small participants; promoting more sustainable energy use in the AI field; accelerating AI innovation.

Potential Impact on AI Innovation: The implementation of UBC could have a transformative impact on AI innovation, including promoting diversity in applications, accelerating research processes, generating new methods and approaches, enhancing collaboration, and laying the foundation for the development of general AI.

Implementation and Roadmap of UBCH

Development stages: The UBCH project will be implemented in stages, including design and planning, prototype development, pilot deployment, expansion and adoption, and maturity and continuous evolution stages.

Implementation strategy: adopting a modular approach, establishing strategic partnerships, adopting Open Source and open standards, implementing Decentralization governance, and emphasizing security and privacy protection from the design stage and other strategies.

Milestones and Specific Goals: Each stage has clear milestones and goals, such as completing the technical White Paper, forming the core team, launching the functional prototype, conducting pilot projects, achieving performance indicators, expanding the user base, and establishing international alliances, etc.

Expected Timeline: The project is expected to be completed within 5 years, with specific scheduling including completing the first two phases in the first year, conducting partial work on the third and fourth phases in the second to third year, completing the fourth phase in the fourth to fifth year, and starting the fifth phase.

Technology Impact and Challenges

Necessary technical infrastructure: Implementing UBC requires a powerful, scalable, and distributed technical infrastructure, including distributed data center networks, computing resource management systems, high-performance computing platforms, distributed storage infrastructure, and high-speed communication networks, etc.

Security and Privacy Challenges: The UBCH project faces security and privacy challenges such as protection against malicious attacks, resource isolation, identity and access management, intellectual property protection, and compliance.

Scalability and performance: The need to address issues such as horizontal and vertical scalability, performance optimization, Fluctuation demand management, and energy efficiency to meet the constantly rising demands of the AI ecosystem.

Interoperability with existing systems: Achieving interoperability with existing AI ecosystems is a key challenge that requires addressing issues such as interface standardization, compatibility with existing AI frameworks, integration with cloud platforms, and heterogeneous data management.

Social Impact and Ethical Considerations

The Social Impact of UBC on AI: The introduction of UBC will have far-reaching social impacts on AI, including democratizing AI, reducing technological inequality, changing employment patterns, and affecting education.

Ethical considerations regarding AI autonomy: UBC's promotion of increased AI autonomy raises important ethical issues such as responsibility and accountability, bias and fairness, meaningful human control, and AI rights.

The potential impact on employment and the economy: UBC and accelerated AI development may have a significant impact on employment and the economy, including changing the labor market, increasing productivity and economic rise, giving birth to new economic models, and affecting economic inequality.

Governance and Regulation of UBC: The implementation and management of UBC require appropriate governance structures and regulatory frameworks, including participatory governance, adaptive regulation, data protection and privacy, ethical supervision, etc.

Economic models and financing

The economic model of the UBCH project includes elements such as free basic services, advanced services, AI service market, strategic partnership relationships, technology licenses, and training and certification programs, aiming to ensure the long-term viability of the project.

Imagined sources of funding: The project's sources of funding include institutional investment, government and research funding, industrial partnerships, Crowdfunding and tokenization, as well as operational income, etc.

Financial Sustainability Strategy: To ensure long-term financial sustainability, strategies such as cost optimization, revenue diversification, strategic reinvestment, creation of reserve funds, and establishment of transparent financial governance models will be implemented.

Cost-benefit analysis: Preliminary 10-year cost-benefit analysis shows that the project has significant investment return potential, while also bringing accelerated AI innovation, universal access to computing resources, and creating a more equitable and sustainable AI ecosystem, among other non-financial benefits.

Call to action and conclusion

Call to action: The White Paper calls on AI researchers and developers, technology companies, investors, policymakers and regulators, educators and academic institutions, as well as the public to actively participate in and support the UBCH project to jointly promote the realization of UBC.

Conclusion: The UBC and UBCH projects represent a bold and transformative vision for the future of artificial intelligence. By providing universal and equitable access to computing resources, they are expected to fundamentally change the field of AI, achieving democratization, fairness, and sustainability of AI, and laying the foundation for a more advanced AI future.