Meta unveils Muse Glimmer, an AI model that operates locally on personal computers, aiming to decentralise AI access and empower private device-level tasks amid global calls for open distribution and control.
Meta has unveiled Muse Glimmer, a new artificial intelligence model designed to run directly on a personal computer rather than on company servers, a move that underlines its push to make AI more useful for private, device-level tasks. According to a report by iPhone in Canada, the model can operate without an internet connection and is aimed at so-called agents: systems that do work for users rather than simply answer prompts.
The distinction matters because agent-style AI often needs access to files, messages and calendar data, which many users would prefer not to send to the cloud. Meta says Muse Glimmer has been reduced enough to run on a mainstream graphics card and can respond around 1.5 to 3 times faster, depending on the hardware. It is available free through Hugging Face, where Meta also says commercial use is permitted.
The launch sits alongside a broader statement from Meta chief executive Mark Zuckerberg, who used a 6,500-word manifesto published on August 10 to argue that AI should be widely distributed rather than concentrated in a handful of companies. Axios reported that Zuckerberg warned about the dangers of power being centralised in a single entity and said Meta wants to reopen parts of its open-source model strategy under oversight from an independent board. He also announced a $1 billion “Future is for Everyone Fund” to support communities near Meta’s data operations.
That position places Meta at odds with some rivals. Anthropic has kept Claude on its own servers, giving it more control over how the system is used and allowing post-launch monitoring, while OpenAI has released some downloadable models separately from ChatGPT and its main API. Reuters, which covered Zuckerberg’s recent comments, said the company is presenting personal AI as a way to widen access while reducing the risk that advanced systems remain locked behind a small number of corporate platforms.
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