AI Policy @🤗: Response to the White House AI Action Plan RFI

On March 14, we submitted Hugging Face's response to the White House Office of Science and Technology Policy's request for information on the White House AI Action Plan. We took this opportunity to (re-)assert the fundamental role that open AI systems and open science play in enabling the technology to be more performant and efficient, broadly and reliably adopted, and meeting the highest standards of security. This blog post provides a summary of our response, the full text is available here.

Context: Don't Sleep on (Strongly) Open Models' Capabilities

Open approaches to AI development are not only (typically) more transparent, adaptable, and scientifically sound, they have also consistently reproduced or surpassed the performance of widely-used API-only commercial offerings on many tasks; and are increasingly doing so on shorter timelines, with increased resource efficiency. Our team's recent OlympicCoder outperforming Claude 3.7 on complex coding tasks with 7B parameters and an open-source post-training recipe, or AI2's fully open OLMo 2 models (with open training data) matching o1-mini performances, are two of the most recent compelling examples. These successes show that a robust AI strategy must leverage open and collaborative development to best drive performance, adoption, and security of the technology. We make three major recommendations in this direction.

Recommendation 1: Recognize Open Source and Open Science as Fundamental to AI Success

Recommendation 2: Prioritize Efficiency and Reliability to Unlock Broad Innovation

Recommendation 3: Secure AI through Open, Traceable, and Transparent Systems

Please refer to the full response for our more detailed recommendations!