Zuckerberg Says Open AI Could Be America’s Answer to China

Mark Zuckerberg just threw down the gauntlet in the global AI race—and he's betting on openness, not walls. In a sweeping 6,500-word manifesto titled "The Future is for Everyone: The Path to a Positive AI Future," the Meta CEO argued forcefully that America's best strategy to counter China's rapid AI ascent is not restriction but proliferation.

"It is also important that the US and its allies lead the open source AI ecosystem that will make up a large percent of global AI use," Zuckerberg wrote. 

The manifesto arrived alongside the launch of Muse Glimmer, a 30-billion-parameter open-weight model released under a permissive Apache 2.0 license that can run locally on a personal computer with a single graphics card.

Zuckerberg's argument cuts against the prevailing Washington consensus. While the Trump administration has vowed to crack down on Chinese AI companies using distillation to extract technical features from U.S. models, Zuckerberg defended the practice as fundamental to technological progress. "Some have tried to frame distillation as harmful, but I think it is important to protect the principle that you can learn from anything you can observe," he wrote.

 He warned that American labs face "many additional restrictions on training data" that give foreign competitors an advantage, and argued that banning Chinese AI models outright would not be "an effective solution".

The Meta chief also made a pointed contrast between his vision and that of rivals like OpenAI and Anthropic: "Most other labs are focused on building AI for companies, governments, or other institutions," he wrote, warning that if those labs lead, "the balance of power will favor larger institutions over individuals".

Chinese open-weight models from Moonshot, Alibaba, and DeepSeek have been gaining traction among U.S. businesses because they offer competitive performance at a fraction of the cost of American rivals. Meta itself had pivoted toward closed models in recent months, but the release of Muse Glimmer signals a strategic reversal.

The model is designed for agentic tasks like schedule management, coding, and web research—running locally on devices rather than in the cloud. Zuckerberg's policy recommendations include speeding up energy infrastructure buildout and reconsidering restrictions on open-weight development.

Whether Washington listens remains uncertain, but one thing is clear: the battle for AI supremacy is no longer just about who builds the smartest model—it's about who builds the most accessible ecosystem. And Zuckerberg is making his case, loudly and publicly, that openness is America's trump card.