The Role of Computing Resources in Publishing Foundation Model Research
Yue Huang
Abstract
Increased computing resources are correlated with national funding and citations in foundation model research, but not with research environment, domain, or methodology.
Cutting-edge research in Artificial Intelligence (AI) requires considerable resources, including Graphics Processing Units (GPUs), data, and human resources. In this paper, we evaluate of the relationship between these resources and the scientific advancement of foundation models (FM). We reviewed 6517 FM papers published between 2022 to 2024, and surveyed 229 first-authors to the impact of computing resources on scientific output. We find that increased computing is correlated with national funding allocations and citations, but our findings don't observe the strong correlations with research environment (academic or industrial), domain, or study methodology. We advise that individuals and institutions focus on creating shared and affordable computing opportunities to lower the entry barrier for under-resourced researchers. These steps can help expand participation in FM research, foster diversity of ideas and contributors, and sustain innovation and progress in AI. The data will be available at: https://mit-calc.csail.mit.edu/
Community
More GPU means “better” foundation model (FM) research??
We looked at 6517 FM papers and surveyed 229 FM authors to understand the role of computing resources in publishing. Surprisingly…..
We found that GPU power strongly tracks national funding and citations, but not whether the work came from academia or industry.
Access ≠ innovation: shared, affordable compute may matter more than we think.
Website: https://mit-calc.csail.mit.edu/
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