The Case for Universal Basic Computing Power

TL;DR

The paper advocates for a global, free, and accessible universal basic computing power initiative dedicated to AI research, emphasizing its continuous update and broad accessibility to accelerate AI development worldwide.

Contribution

It proposes a comprehensive framework for universal basic computing power, detailing its essential features and urging stakeholders to adopt this initiative for equitable AI progress.

Findings

Conceptual framework for UBCP outlined

Stakeholder roles and responsibilities identified

Potential impact on AI research accessibility

Abstract

The Universal Basic Computing Power (UBCP) initiative ensures global, free access to a set amount of computing power specifically for AI research and development (R&D). This initiative comprises three key elements. First, UBCP must be cost free, with its usage limited to AI R&D and minimal additional conditions. Second, UBCP should continually incorporate the state of the art AI advancements, including efficiently distilled, compressed, and deployed training data, foundational models, benchmarks, and governance tools. Lastly, it's essential for UBCP to be universally accessible, ensuring convenience for all users. We urge major stakeholders in AI development large platforms, open source contributors, and policymakers to prioritize the UBCP initiative.