Mark Zuckerberg · Anthropic · Alibaba · OpenAI · Meta · China · Ars Technica
With new open models, Meta pitches another reboot of its struggling AI strategy
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Meta has announced its intention to focus on open-weight large language models.
Key facts
- Muse Spark 1.2 was released on August 5 and was accompanied by Muse Code, a terminal coding agent
- Muse Glimmer is a 30 billion parameter model with a 128,000-token context window by default
- Alongside these announcements, Meta CEO Mark Zuckerberg published a more than 6,000-word essay outlining the company’s philosophy about AI systems and governance moving forward
- Meta also saw a total overhaul of its AI division last year, when former Meta AI chief scientist Yann LeCun was replaced by former Scale AI CEO Alexandr Wang
Summary
Alongside these announcements, Meta CEO Mark Zuckerberg published a more than 6,000-word essay outlining the company’s philosophy about AI systems and governance moving forward. Muse Glimmer is a 30 billion parameter model with a 128,000-token context window by default. Muse Spark was introduced in April as a closed, proprietary, frontier-class model—Meta’s first major model release after a significant shake-up of the company’s AI teams last year, and a departure from its focus on models that are, by some definition, open. Developers have generally found that Muse Code doesn’t match the frontier models from Anthropic or OpenAI in capability, but it competes well on cost—meaning it has similar positioning to many open-weight models from Chinese labs.