Meta Platforms CEO Mark Zuckerberg called for lower U.S. barriers for open-source AI to better compete with Chinese rivals as the social media giant released a new open-weight model on Monday and said more would follow soon.
Meta's AI Leap: Lowering Barriers for Open-Weight Models
Mark Zuckerberg, CEO of Meta Platforms, has called for lower U.S. barriers for open-source AI to better compete with Chinese rivals. In a video post accompanying his 14-page essay titled "The Future is for Everyone," Zuckerberg championed spreading AI rather than leaving it in the hands of a few.
The new model, Muse Glimmer, is smaller than leading AI models from rivals and is designed to run agentic tasks on a Mac or PC with a single graphics card. This aims to tap demand for AI systems that run directly on people's devices. Zuckerberg said in the video post, "We've got even bigger models that are coming soon."
Open-Weight Models Gaining Traction
Open-weight models are typically cheaper than leading models from the likes of OpenAI and Anthropic. They also come with publicly accessible core components for easy customization, unlike closed models that companies keep fully under their control. This has made them increasingly popular among businesses, which are growing wary of ballooning AI bills and worrying about recent cybersecurity incidents involving models from Anthropic, OpenAI, and Meta.
Chinese startups are leading the race for open-weight models, with Moonshot's Kimi K3, Alibaba's Qwen3.8-Max, and DeepSeek's V4-Flash rivaling the performance of top U.S. systems. By contrast, the leading models from U.S. developers OpenAI, Anthropic, and Alphabet's Google are closed-weight.
Rethinking U.S. Policies
Zuckerberg also said the U.S. needed to rethink policies if domestic firms were to lead in open-weight models, including on data use and distillation. He said that Meta would implement a governance structure to give its independent directors the power to approve the safety criteria for releasing models.
Zuckerberg stated, "Foreign labs currently hold several advantages here since American labs have to comply with many additional restrictions on training data. U.S. policy must reduce this additional friction if we want American open source models to lead over time." He added that restricting access to foreign open-source models was not an effective solution.
Implications for Big Tech
The company had long supported open models and was among the only U.S. tech firms to release such models before poor reception for its Llama 4 last year forced a change in strategy. Meta also plans to release the weights of Muse Spark 1.2, its most advanced model, built by a costly superintelligence team it formed last year to claw its way back into the AI race.
Shares of Meta, which have fallen about 10% so far this year, were up nearly 3% in premarket trading on Monday. Meta's push for open-weight models comes as the company is set to spend as much as $145 billion this year on AI infrastructure. Zuckerberg said that the U.S. needed to rethink policies if domestic firms were to lead in open-weight models, including on data use and distillation.
A New Fund and Governance Structure
Zuckerberg also unveiled a new $1 billion fund that aims to ease fears about the impact of its data-center build-out by offering support to communities. Growing local opposition to data centers has become a key election issue in the U.S. and one of the biggest hurdles for Big Tech's push to build the infrastructure needed to power AI.
The fund aims to provide support to communities affected by the construction of data centers, which has become a contentious issue in the U.S. Zuckerberg stated, "One significant disadvantage that the U.S. has compared to countries like China is that it is more difficult to build infrastructure here."
Source: Joy Online
