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The Case for Universal Basic Computing Power

arXiv 2311.12872 ↗First posted 18 Nov 2023cs.AI cs.CY cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 6 references that are in the map. First posted on arXiv 18 Nov 2023.

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4 of 6 references.

References · 4

  1. 2018Datasheets for Datasetscited by 1,386
  2. 2018Model Cards for Model Reportingcited by 1,080
  3. 2022Compute Trends Across Three Eras of Machine Learningcited by 163
  4. 2022Machine Learning Model Sizes and the Parameter Gapcited by 39

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