Meta Platforms released a new open-weight model 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. While launching the new model, CEO Mark Zuckerberg called for lower U.S. barriers for open-source AI to better compete with Chinese rivals.
In a 14-page essay titled ‘The Future is for Everyone’, Zuckerberg said that restricting the development and use of open AI models would hand an advantage to Chinese developers, who have emerged as strong contenders in the open-weight AI race. “The notion AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic,” he said, adding that AI should be distributed widely rather than controlled by a small group of companies or experts.
Muse Glimmer is a 30-billion-parameter model designed to perform agentic tasks and run locally on a laptop or a single consumer GPU. Unlike conventional AI models that largely respond to prompts, Glimmer is designed to plan a task, use developer-approved tools, check the results and recover when a step fails. It can operate within a 24-32 GB memory envelope, with Meta targeting systems including Mac computers powered by M4 or M5 chips and Nvidia’s RTX 5090.
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