Hugging Face response to White House AI Action Plan RFI — advocates open models and open science

AI Impact Summary

Hugging Face published a policy response to the White House AI Action Plan emphasizing openness as a core AI strength. It highlights three recommendations: recognize open source and open science as foundational; improve efficiency and reliability with smaller models and mid-scale training; and secure AI through open, transparent systems, including air-gapped deployments. The examples citing OlympicCoder beating Claude 3.7 and OLMo 2's performance underscore a practical case for open models to compete with API-only offerings. If policymakers follow this stance, enterprises may face incentives to adopt open-weight models and open tooling (e.g., PyTorch, Hugging Face libraries) to meet security, transparency, and cost objectives, potentially reducing vendor lock-in and shaping procurement and architecture decisions.