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Meta Opens Early Access Signups for New Muse AI Features Via In-App Prompt

TL;DR

Meta is letting users request early access to new Muse AI features by prompting the assistant directly, rather than running a traditional randomized beta test. The features, teased at Connect 2026, include a video-chat avatar, expanded shopping connectors, Mac computer-use capabilities, and support on Meta's AI glasses.

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Meta is opening early access requests for a batch of new Muse AI app features unveiled this week at its Connect 2026 developer conference, the company announced Friday.

Rather than running a traditional randomized beta or A/B test, Meta is asking interested users to request access directly through Muse itself. The company posted a prompt on X that, when copied into the Muse app, logs the user's interest in the early access program. The prompt reads: "Can you let the Muse team know I want to be part of the Muse early access program?"

What Meta announced at Connect

At Connect 2026, Meta teased several additions to Muse, though it has not disclosed a rollout timeline or pricing for any of these features:

  • A digital avatar for Muse that users can video chat with directly
  • Expanded shopping partnerships and connectors, adding to Muse's existing e-commerce integrations
  • An upgraded Muse Mac app that will be able to use a user's computer to complete tasks — a computer-use capability similar to agentic tools from other AI labs
  • Integration with Meta's AI glasses lineup, letting users summon Muse with a wake word and issue voice commands hands-free

None of these features have confirmed release dates. Meta has not disclosed how many users will be admitted to the early access program or how selection will work beyond the self-nomination prompt.

Why self-selected access, not random testing

Most companies use randomized beta groups to gather unbiased feedback and measure results across a representative user base. Meta's approach instead targets users motivated enough to actively request access — typically power users who already run multiple AI apps and agents and have a comparative sense of the competitive landscape.

This suggests Meta is prioritizing fast, informed feedback from an engaged audience over statistically controlled testing, a tactic that can help surface competitive gaps quickly but risks skewing feedback toward enthusiast use cases rather than mainstream ones.

What this means

This is not a new model release — it's an access-expansion move for an existing product. But the feature set it points to is significant for Meta's broader AI strategy. A video-chat avatar and computer-use capability push Muse toward the same agentic, multimodal territory that OpenAI, Google, and Anthropic are all racing toward with their own assistants. Bringing Muse to Meta's AI glasses is arguably the more strategic bet: it ties Meta's AI assistant to hardware nobody else in the space controls, giving Meta a distribution channel competitors can't easily replicate. The self-selected early access approach also signals Meta wants vocal, comparison-minded users testing these features first — a signal that the company expects (and wants) public comparisons to rivals' agents once these capabilities ship.

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