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AI & Machine Learning Software & SaaS Meta Platforms

Meta's plan to open AI for laptops fails to wow markets

by tickstock newsroom
A person holding a smartphone displaying the logo of the Threads app, with the Meta logo visible in the background. The scene suggests a technology-focused environment, possibly a demonstration or event. — Credit: Photo by Julio Lopez on Unsplash c Photo by Julio Lopez on Unsplash

The market was unbothered by Meta Platforms news on Monday of 'Muse Glimmer; a scaled-down AI model designed to run locally on a single laptops rather than in a data centre.

Facebook's answer to Chinese 'open weight' AI marks a differentiated AI play compared to those undertaken by Google, OpenAI and Anthropic.

The social media giant, in Monday's announcement, explained that it would open the weights for its larger frontier model, Muse Spark 1.2, making the underlying calculations that drive the AI freely downloadable and modifiable by the public.

Glimmer is built for "agentic" tasks such as function calling, local coding and scheduling, rather than general chatbot conversation.

Chief Executive Mark Zuckerberg unveiled the release in an Instagram video and, in a 6,500-word essay published the same day, framed the move as a counter to Chinese open-source labs including Alibaba, DeepSeek and Moonshot, urging Washington to back American open-weight efforts.

He also warned against a "concentration of power" in AI, casting OpenAI and Anthropic as closed-model foils to Meta's approach.

Meta shares initially rose 2.1% in premarket trade, though the stock remains down roughly 10% this year as investors weigh the payoff from capital spending forecast to reach $145 billion this year.

And, by mid-session, the Meta price was up $1.13 or 0.19%, at $593.23.

The Muse Glimmer launch caps a rapid build-out from Meta Superintelligence Labs, which introduced the first Muse Spark model in April and its larger Muse Spark 1.2 successor just days earlier, on 5 August.

Glimmer's always-on, local-agent design marks Meta's clearest pivot yet toward on-device AI, a shift the company is betting will pay off as it works to prove its data centre spending is justified.

by tickstock newsroom