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Generative AI & Modelsupdated 2 min read

Meta's Muse agent gives every user a full cloud computer running Ubuntu Linux

Meta's Muse agent provides each user with a persistent cloud-based Ubuntu Linux virtual machine, according to David Singleton, VP of Engineering at Meta Superintelligence Labs. The system includes a secure 'Runtime Cell' for unrestricted user activity and a 'Sentinel' process to monitor sensitive actions, with full transparency into the environment. Muse gained over 500,000 users in its first…

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What you can do with it

AI at Work →
Muse by Meta

Lets users test new Muse features early via a simple prompt on X.

Who for
marketers
Cost
free
Effort
minutes

Use it for

  • Test new AI tools
  • Provide feedback to Meta
  • Stay ahead with early access

How to set it up · From the article

  1. Open Muse and paste the prompt into the chat
  2. Submit to join the early access waitlist

Watch out No specific release dates or guarantees on features yet

Muse in the tool directory · 8 changes covered

Key points from the news

  • Each Muse user gets a free, full Ubuntu Linux cloud computer with persistent storage.
  • Muse reached over 500,000 users in its first week and topped the Apple App Store.
  • mouse.dev reports possible use of an OpenAI model via Azure; tomshardware.com cites AMD EPYC Turin hosts with 2 cores and 8GB RAM per sandbox.

Sources differ on technical details: mouse.dev reports finding evidence of an azure/muse-special model possibly serving OpenAI's GPT via Azure, while tomshardware.com specifies Muse runs on AMD EPYC Turin hosts with two cores and 8GB of memory per sandbox, using Ubuntu 24.04 and Linux kernel 7.0, with no GPUs in the agent sandboxes. The Information is not among the sources, so no claim about oversubscription is made.

Full story from The Decoder · by Matthias BastianOpen source ↗

Meta's Muse agent gives every user a full cloud computer running Ubuntu Linux

The Decoder · 25 September 2026

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This text was published by The Decoder and written by Matthias Bastian. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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