DigestAI news desk

Cut through the AI noise.

Generative AI & Models2 min read

Meta opens early access for new Muse AI features

Meta has launched an early access program for upcoming features in its Muse AI assistant, following announcements at Connect 2026. Users can join by sending a specific prompt to Muse, which notifies the team of their interest. This approach targets AI-savvy users who can provide detailed feedback on new capabilities before wider release.

1 source

Key points

  • Users join Muse early access by sending a specific prompt to the assistant.
  • Upcoming features include a digital avatar, Mac task automation, and AI glasses integration.
  • Meta targets AI-savvy users to gather feedback on new capabilities before wide release.

The upcoming features include a digital avatar for video conversations, additional shopping connectors, and a Mac app that can perform tasks on the user's computer. Muse is also expanding to Meta’s AI glasses, where a wake word activates the assistant. These additions aim to transform Muse from a chatbot into an agent that can execute jobs independently.

Meta selected this opt-in method to engage users already familiar with AI tools like ChatGPT and Gemini. By involving this specific group, the company hopes to gather high-quality insights to refine the features. The program does not guarantee immediate access to all new tools but places users in line for testing opportunities.

The story so far

4 episodes →
  1. Meta opens early access for new Muse AI featuresthis story
Full story from digitaltrends.com · by Shimul Sood · via Search: MetaOpen source ↗

Meta’s newest AI features aren’t here yet, but you can try them early

digitaltrends.com · 25 September 2026

Loading the full article…

This text was published by digitaltrends.com and written by Shimul Sood. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page

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.

Comments

via GitHub Discussions

More in Generative AI & Models

All →

Related stories