Hugging Face submits open-source blueprint, challenging Big Tech in White House AI policy fight

In a political scene in Washington, which is increasingly dominated by calls to the minimum organization of artificial intelligence, the embrace of the face makes a clearly different issue to the Trump administration: the development of open source and cooperative development may be the strongest competitive advantage in America.

The artificial intelligence platform company, which hosts more than 1.5 million general model through various fields, has provided its recommendations for AI’s work plan at the White House, on the pretext that modern breakthroughs in open source models show that they can correspond to the capabilities of closed commercial systems on a part of the cost.

In official presentation, it highlights the recent achievements such as Olympicud, which surpasses Claude 3.7 over complex coding tasks while using only 7 billion, and OLMO 2 models completely open from AI2 that match the performance levels of Operai Operai.

Submission comes as part of a broader effort by the Trump administration to collect the inputs for the upcoming artificial intelligence plan, which was imposed by the Executive Order 14179, entitled “Removing barriers that prevent American leadership in artificial intelligence”, which was issued in January. The matter, which replaced the most focused approach on the Biden administration, emphasizes the American competitiveness and reducing organizational barriers to development.

FACE contrast in a flagrant contradiction with those artificial intelligence leaders such as Openai, which was strongly pressed to organize light touch and “freedom to innovate in the national interest”, with a warning against China’s leadership in AI’s capabilities. Openai’s proposal to “a voluntary partnership between the federal government and the private sector” instead of what it calls “excessive state laws”.

How an open source can work with the power of artificial intelligence in America: a strategy of hooping face threat

Huging Face Recommendation Center on three interconnected pillars emphasizes artificial intelligence technology. The company argues that open styles enhance America’s competitiveness instead of hindrance.

The company wrote in its presentation: “The most advanced artificial intelligence systems so far stand on a strong basis for open search and open source programs – which indicates the crucial value of continuous support for openness in maintaining more progress.”

Its first column calls for strengthening open and open ecosystems through investments in research infrastructure such as NAIRR’s national research supplier and ensuring wide access to reliable data groups. This approach contrasts with Openai’s focus on copyright exemptions that would allow royal materials to train in copyrights without explicit permission.

He pointed out that “investing in systems that can be reused freely and adapted has a strong impact on economic complications, which pushes a large percentage of GDP of countries”, on the pretext that open approaches are enhanced rather than obstructing economic growth.

Smaller, faster, better: Why can artificial intelligence models effectively give technology revolution

The second column of the company focuses on addressing the resource restrictions facing Amnesty International, especially the smaller institutions that cannot afford the mathematical requirements for large -scale models. By supporting more efficient specialized models that can work on limited resources, face embrace is that the United States can enable the broader participation in Amnesty International’s ecosystem.

“The smaller models that can be used on edge devices, technologies to reduce mathematical requirements when inference, and the efforts made to facilitate the intermediate training of institutions with modest to moderate mathematical resources, all of which support the development of models that meet the specific needs of the context of their use,” explains the application.

On security – the main focus in administration policy discussions – the face that makes the issue not intuitive may be open and transparent artificial intelligence systems more secure in important applications. The company suggests that “the completely transparent models that provide access to their training data and procedures can support the most comprehensive safety certificates”, while “open -weight models that can be operated in the completed environments can be an important component in managing information risk.”

Big Tech versus Little Tech: The Battle of Policy that can form the future of artificial intelligence

FACE embraces highlighting the growing policy sections in making artificial intelligence. While companies such as Openai and Google emphasize the acceleration of organizational operations and reduce government supervision, the Andressen Horowitz (A16Z) has called for moderate ground, and argues in the Federal leadership to prevent a list of government regulations with a focus on the specified damage instead of the same model development.

A16z wrote in its submission, using the language that somewhat corresponds to the democratic arguments in the Face in A16Z, using the language that is somewhat in line with the democratic arguments in the VACE in the A16Z, using the language that is somewhat in line with the democratic arguments in Face in A16Z, using the language that somewhat corresponds to the democratic arguments in face in FACE. “

Meanwhile, Google’s introduction focused on infrastructure investments, especially meeting “increasing energy needs” to spread artificial intelligence – a commonly practical concern in industrial positions.

Between innovation and access: the race to influence the future of artificial intelligence in America

Since the administration weighs the competing visions of the leadership of American artificial intelligence, the basic tension between trade progress and democratic access is still without a solution. Openai’s vision for artificial intelligence development gives priority to speed and competitive advantage through a central approach, while face embrace provides evidence that distributed open development can achieve similar results while spreading benefits on a wider scale.

Economic and security arguments are likely to be decisive. If administration officials accept the fact that “AI’s strong strategy should benefit from open development and cooperation for the best performance, adoption and security”, you may find the open source a meaningful place in the national strategy. But if fears related to the capabilities of artificial intelligence in China are dominating, Openai calls may prevail to the minimum control.

What is clear is that the artificial intelligence plan will put a tone for years of American technological development. FACE’s presentation also concludes, both open and ownership systems have complementary roles for play – which indicates that the wise policy may be a policy that harnesses the unique strengths of each approach instead of choosing between them. The question is not whether America will lead in artificial intelligence, but whether this leadership will bring prosperity to the few or innovation to many.