Hugging Face Advocates for Open-Source Emphasis in AI Action Plan
Hugging Face has urged the US government to prioritize open-source development as part of its upcoming AI Action Plan. In a communication directed at the Office of Science and Technology Policy (OSTP), the company articulated that effective policy can drive innovation while ensuring that AI advancements align with American values.
Hugging Face, known for hosting over 1.5 million public models and serving a user base of seven million, outlined a three-pillar AI Action Plan:
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Strengthening Open-Source AI Ecosystems: Hugging Face advocates for enhancing infrastructure such as the National AI Research Resource (NAIRR) and investing in open science and data. This approach, they argue, will foster diverse contributions from various institutions and accelerate innovation.
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Efficient AI Adoption: The company emphasizes the need for facilitating technology adoption across different sectors. They argue that more efficient, modular AI models require research and investment in infrastructure, permitting broader participation and innovation, thereby driving technology diffusion throughout the US economy.
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Promoting Security and Standards: Hugging Face highlights the importance of applying best practices from open-source software cybersecurity to AI technology. They suggest the establishment of standards for traceability, disclosure, and interoperability to enhance the resilience and robustness of the technology ecosystem.
Hugging Face suggests that modern AI advancements are built upon decades of open research, with recent breakthroughs showing that open-source solutions are not only sufficient but can outperform commercial technologies in specific contexts. They note the rapid reduction in resource requirements for model development, enabling a quicker path to technological parity.
The call to boost open-source AI development in the US aligns with their belief that it will enhance American competitiveness through a rich innovation ecosystem. Research indicates that open technical systems can yield substantial economic benefits—an estimated $4 billion investment in open systems could potentially create $8 trillion in value.
Practically, Hugging Face identifies several pivotal factors behind the commercial adoption of open models, particularly for startups and mid-sized companies. These include cost efficiency, customization abilities, reduced vendor lock-in, and in some instances, surpassing the capabilities of closed systems.
To support these advancements, Hugging Face proposed various policy recommendations, such as:
- Fully implementing and expanding key research infrastructure, like NAIRR.
- Dedicating public computing resources to open-source projects, which would help reduce barriers for smaller teams.
- Creating sustainable data ecosystems to ensure access to quality data for open system development.
- Investing in significant datasets to support next-generation AI applications.
- Strengthening frameworks for data access rights and supporting collaborations to ensure responsible data sharing.
Moreover, they stress the importance of making AI technology accessible to smaller organizations, which face significant challenges due to high costs and resource limitations. The integration of open-source tools has shown positive returns on investment, enhancing organizational capabilities without overwhelming infrastructure demands.
By advocating for an AI Action Plan rooted in open-source principles, Hugging Face aims to consolidate US leadership in the field, stimulate innovation, bolster security, and ensure equitable distribution of AI benefits across the economy.
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