Meta Launches New AI Model As Zuckerberg Champions Open- Weight Push

Meta Platforms (META.O) CEO Mark Zuckerberg has 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.

Aug 10, 2026 - 20:01
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Meta Launches New AI Model As Zuckerberg Champions Open- Weight Push

Meta Platforms (META.O)CEO Mark Zuckerberg has 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.

The new model, Muse Glimmer, is smaller than leading ​AI models from rivals and is instead designed to run agentic tasks on a Mac or PC with a single graphics card, ‌aiming to tap demand for AI systems that run directly on people's devices.

"We've got even bigger models that are coming soon," Zuckerberg said in a video post accompanying his 14-page essay titled "The Future is for Everyone" in which he championed spreading AI rather than leaving it in the hands of a few.

The notion AI is so dangerous that the only safe ​path is an extreme concentration of power seems inherently problematic."

Zuckerberg's statement marks the latest show of support for open-weight AI, which is gaining traction as ​businesses grow wary of ballooning AI bills and worry about recent cybersecurity incidents involving models from Anthropic, OpenAI and Meta.

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.

Those controls are in the spotlight after Hugging Face, the AI coding collaboration hacked by a rogue OpenAI model, was forced to use a ​Chinese open-weight model to defend against the attack because closed-source models have curbs on cybersecurity use.

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.

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