Hugging Face calls for open-source focus in the AI Action Plan

Huging Face called on the US government to give priority to open source development in the upcoming artificial intelligence plan.

In a statement of the policy of the Science and Technology Office (OSTP), Huging Face stressed that “the studied policy can support innovation while ensuring that the development of artificial intelligence is still able to compete and is compatible with American values.”

Huging Face, which hosts more than 1.5 million general model in various sectors and serves seven million users, suggests a three interconnected Amnesty International Work plan:

1. The embraced face stresses the importance of Enhancing the ecosystems of Amnesty International Open Source. The company argues that technical innovation stems from various actors throughout institutions and infrastructure support – such as the national research resource for Amnesty International (NAIRR), investment in open science and data – to have an additional impact and accelerate strong innovation.

2. The company’s priority Effective and reliable adoption of artificial intelligence. Huging Face believes that spreading the benefits of technology by facilitating its adoption along the value chain requires actors across the activity sectors to form their development. It states that the most efficient, dear and strong artificial intelligence models require research and infrastructure investments to enable the widest possible participation and innovation – technology stimulating all over the American economy.

3. The face also embraces the need for Promote security and standards. The company suggests that contracts of practices in open programs for cybersecurity, information security and standards can teach the most secure artificial intelligence technology. It calls for strengthening tracking standards, detection, and intertwined standards to enhance a more flexible and powerful ecosystem.

The open source is the key to the advancement of artificial intelligence in the United States (and beyond)

The embrace confirms that modern artificial intelligence is based on contracts of open research, with commercial giants who depend on open source contributions. Modern breakthroughs-such as Olmo-2 and Olympic President-show that open research remains a promising way to develop systems that match the performance of commercial models, and can exceed them often, especially in terms of efficiency and performance in specific areas.

“It may be the most surprising thing is the rapid pressure in the development tables of development,” the company notes, “What requires more than 100 parameters models just two years ago that 2B parameter models are now being achieved, indicating an acceleration path to parity.”

This trend towards developing artificial intelligence indicates more easy, effective and cooperative that open methods for developing artificial intelligence have a crucial role that plays in enabling the successful AI strategy that maintains technical leadership and supports more widespread and secured technology.

Huging Face argues that open models, infrastructure and scientific practices constitute the basis for creating artificial intelligence, allowing a diverse ecosystem of researchers, companies and developers to build on common knowledge.

The company hosts AI models and data groups from both small actors (for example, startups, universities) and large institutions (for example, Microsoft, Google, Openai, Meta), indicating how to accelerate open methods and clarify access to AI’s capabilities.

“The United States should lead in open source artificial intelligence and open science, which can enhance American competitiveness by strengthening a strong ecosystem of innovation and ensuring a healthy balance between competition and joint innovation.”

Research has shown that open technical systems work as complications of power for economic influence, with a estimated 2000x impact. This means that 4 billion dollars investor in open systems can generate $ 8 trillion for the companies you use.

These economic benefits extend to national economies as well. Without any open source software contributions, the average country will lose 2.2 % of GDP. The open source led between 65 billion euros and 95 billion euros of European GDP in 2018 alone, a great discovery that the European Commission was martyred when developing new rules to simplify the open source government software process.

This explains how the effect of the open source is translated directly into political action and economic advantage at the national level, which confirms the importance of the open source as a public commodity.

Practical factors that drive the commercial accreditation of the open source aerobic organization

The hugs define many practical factors that drive the commercial adoption of open models:

• Cost efficiency It is a major driver, because developing artificial intelligence models from zero point requires a significant investment, so taking advantage of the open foundations reduces research and development expenses.
• Customization It is very important, as institutions can adapt and publish models specifically designed for their use cases instead of relying on solutions that suit everyone.
• Open models Reducing the seller lockGiving companies greater control over their technological staple and independence from individual service providers.
• Open models have caught, and in some cases, They exceeded the capabilities From closed royal systems.

These factors are of special value for startups and medium -sized companies, which can access advanced technology without investments in huge infrastructure. Banks, pharmaceutical companies and other industries adapt open models with the specific market needs-which weakens how open source institutions support a vibrant commercial environmental system through the value chain.

Embrace facial policy recommendations to support open source artificial intelligence in the United States

To support the development and adoption of open AI systems, Huging Face offers many policy recommendations:

• Research infrastructure enhancement: Implementation, expansion and expansion of national research resources (NAIRR). FACE’s active participation in NAIRR showed the value of providing researchers by accessing computing resources, data groups and cooperative tools.

• Allocating the general computing resources to the open source: The public must have ways to participate through the general infrastructure of Amnesty International. One of the ways to do this is to devote part of the infrastructure of the computing funded by the public sector to support open source artificial intelligence projects, which reduces the barriers that prevent innovation of smaller search teams and companies that cannot afford the costs of property systems.

• Enabling access to data to develop open systems: Create sustainable data ecosystems through the targeted policies dealing with decreasing data. Publishers are increasingly signing on data licensing deals with royal artificial intelligence developers, which means that the costs of obtaining quality data are now approaching or even exceeding the accounting expenses of the training border models, which aims to awaken young open developers from reaching quality data. Institutions that contribute to public data depots support and simplify compliance paths that reduce legal barriers in front of the sharing of responsible data.

• Development of open data collections: Invest in creating and maintaining strong representative data collections, which can support the next generation of artificial intelligence research and applications. Expand initiatives such as IBM AI alliance catalog and support projects such as Divitization from AI-A-A-A-AI-EAAAAAAAI-

• Enhancing access to data that respects rights: Create clear guidelines for data use, including uniform protocols to hide identity, approval management, and follow use. Supporting partnerships between the public and private sectors to create specialized databases for high -value ranges such as healthcare and climate science, ensuring that appropriate control over their data is maintained with empowerment of innovation.

• Invest in the innovation driven by stakeholders: Create and support programs that enable organizations across various sectors (health care, manufacturing, education) to develop artificial intelligence systems designated to meet their own needs, instead of relying exclusively on multiple general purposes of major service providers. This allows the broadest participation in the ecosystem of Amnesty International and ensures the extension of the benefits of artificial intelligence throughout the economy.

• Enhancing excellence centers: Expand the role of NIST as the founder of artificial intelligence experts throughout the academic, industry and government to exchange lessons and develop best practices. In particular, the framework of artificial intelligence management has played an important role in identifying the stages of developing and researching artificial intelligence, which is very important to ensure more powerful and safe technological publishing for all. The tools developed in Huging Face are formed, from typical documents to evaluation libraries, directly through these questions.

• Support high -quality data for performance evaluation and reliability: The development of artificial intelligence is highly dependent on data, whether to train models, evaluate their progress, strength, risks, or reliable restrictions. Enhancing greater access to public data in a safe and safe way and ensuring that the evaluation data used to characterize the models is intact and will accelerate progress in both performance and technology reliability.

Giving priority to AI’s effective and reliable adoption

Face face highlights that small companies and startups face large barriers in front of the adoption of artificial intelligence due to high costs and limited resources. According to IDC, the Global Ai spending will reach $ 632 billion in 2028, but these costs are still high for many small organizations.

For organizations that adopt the tools of Amnesty International Open source, they bring financial returns. 51 % of the companies currently included in the poll are open source tools for the return on positive investment, compared to only 41 % of those who do not use the open source.

However, energy scarcity is a growing source of concern, as the International Energy Agency expects that electricity consumption in databases may double the levels of 2022 to 1000 TwH by 2026, equivalent to the demand for the entire electricity in Japan. While artificial intelligence training models are thick, reasoning, due to its scope and frequency, can eventually exceed the consumption of training energy.

Ensuring access to artificial intelligence requires devices and developmental software frameworks. A group of organizations is developing models designed to meet their specific needs, and provides the US leadership in developing efficient artificial intelligence a strategic advantage. The DOE’s AI For Energy initiative supports research in energy -saving artificial intelligence, facilitating the broader adoption without excessive mathematical requirements.

With her message to OSTP, Face’s advocates embrace Amnesty International’s work plan that focuses on open source principles. By taking decisive measures, the United States can secure its leadership, pay innovation, enhance security, and ensure the achievement of the extensive benefits of Amnesty International in society and the economy.

See also: The UK Minister of the United States to enter Britain as a global center for investment in artificial intelligence

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