Meta Platforms CEO Mark Zuckerberg has called for reduced barriers on open-source AI in the United States to enhance competition with Chinese counterparts. The social media giant unveiled a smaller and more customizable model, Muse Glimmer, which is designed to operate tasks on a Mac or PC with a single graphics card. Zuckerberg announced that larger models are in the pipeline, emphasizing the importance of making AI accessible to a wider audience.
The push for open-weight AI is gaining momentum as businesses seek cost-effective alternatives to closed models amid concerns over cybersecurity incidents involving models from various companies. Open-weight models, unlike closed ones, allow users to customize their core components, known as weights, for specific purposes at a lower cost.
Notable Chinese open-weight models like Kimi K3 have highlighted the advantages of open-source AI. Meta, along with other tech firms, recently signed an open letter endorsing open-weight AI. Chinese startups have taken the lead in developing open-weight models that rival the performance of top U.S. systems.
Meta’s stock, which has experienced a 10% decline this year, saw a nearly 3% increase in premarket trading following the announcement. The company plans to release Muse Spark 1.2, its most advanced model, to regain its competitive edge in the AI race.
Zuckerberg also unveiled a $1 billion fund to address concerns about the impact of data center expansion. He emphasized the need for the U.S. to revisit policies related to open-weight models, data use, and distillation to foster innovation and competitiveness.
The company aims to empower its independent directors to approve safety criteria for releasing models. The U.S. government’s stance on open-weight AI models has been a topic of discussion, with recent reports indicating a reluctance to subject them to voluntary safety tests.