Meta CEO Mark Zuckerberg advocates for reduced barriers to open-weight artificial intelligence in the US, highlighting new developments with Muse Glimmer and industry shifts towards decentralised AI models to boost global competitiveness and public access.
Mark Zuckerberg has urged the United States to remove more of the barriers facing open-weight artificial intelligence, arguing that looser rules would help American companies compete more effectively with China. The Meta Platforms chief set out his case as the social media company unveiled Muse Glimmer, a new model designed to run on personal computers and handle so-called agentic tasks, meaning jobs carried out with a degree of autonomy on a single graphics card. According to AP, Meta also said more, and larger, models are on the way.
In a 14-page manifesto titled “The Future is for Everyone”, Zuckerberg said AI should be broadly available rather than concentrated in the hands of a few firms. He argued that the idea of AI being so dangerous that only extreme centralisation is safe is fundamentally flawed. AP reported that the new model is smaller than leading systems from rivals and is meant to capture demand for AI that runs directly on users’ devices.
The push reflects a wider shift in the industry towards open-weight systems, which are usually cheaper to distribute and easier to customise because at least some of their core components are publicly accessible. That approach has gained support as companies worry about the rising cost of AI development and about recent cyber-security incidents involving models from Anthropic, OpenAI and Meta, according to the material provided by Politis.
Zuckerberg also tied the debate to infrastructure, saying the US faces a disadvantage because it is harder to build data centres there than in China. That concern comes as Meta continues to spend heavily on AI infrastructure, with Fortune reporting that the company raised its 2026 capital spending plan to as much as $145 billion. Axios said Zuckerberg’s manifesto also backed wider public access to AI tools and proposed a $1 billion fund for communities affected by Meta’s data operations, underscoring how the company is pairing technical openness with a broader political argument about who should benefit from the AI boom.
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