Meta unleashes Llama 4-powered AI app to transform everyday conversations on phones, glasses, and web

Meta Platforms, Inc. has introduced the first standalone version of its Meta AI app, expanding its artificial intelligence ecosystem across mobile devices, desktop platforms, and Ray-Ban Meta smart glasses. The new Meta AI assistant is powered by the company’s most advanced large language model to date—Llama 4—and marks a significant step toward enabling users to access a consistent, context-aware AI across all Meta services and supported hardware.

The app is now available on iOS and Android devices, with integrated support for voice interactions, cross-platform memory retention, image generation, and document editing. Meta AI is also directly accessible via the meta.ai web portal, where users can pick up conversations started in the app or on glasses, enabling continuity across environments.

How Does the Meta AI App Work Across Devices?

The Meta AI app is designed to serve as a centralized AI companion across Meta’s family of apps and hardware. It is now the official companion app for Ray-Ban Meta smart glasses, replacing the Meta View app, and supports synchronized conversations between the app and glasses.

When a conversation is started via Ray-Ban Meta glasses, it can be resumed later in the app or on the web through the history tab. However, conversations initiated in the app or web cannot yet be continued on the glasses. The app also includes a Devices tab, where existing Meta View users will find their previously paired smart glasses and related media automatically migrated without requiring reconfiguration.

What Does Llama 4 Enable for Meta AI?

At the core of Meta’s AI assistant is the Llama 4 model, enabling improved understanding of voice inputs and delivering conversational responses that are more relevant to user interests. The model underpins features such as image generation, real-time voice dialogue, and memory-based interactions.

Voice input is a key focus area in this rollout. The app supports both text and voice-based queries, with a “Ready to Talk” toggle allowing users to keep voice functionality on by default. A notable inclusion is the full-duplex speech demo, which showcases Meta’s early efforts to move beyond static voice playback into dynamic, bidirectional conversations. This test feature is currently available in the United States, Canada, Australia, and New Zealand.

What Is the Discover Feed and How Does It Work?

The app also introduces a Discover feed, a curated space where users can explore and share how others are using Meta AI. This feature surfaces trending prompts, creative use cases, and user-generated examples of image generation or problem-solving tasks. Users can interact with these posts, remix them, or contribute their own, with full control over what is visible in the feed.

Meta confirms that no content is shared publicly unless a user explicitly chooses to post it, maintaining user control over privacy and discoverability.

How Personalized Is the Meta AI Assistant?

The assistant leverages contextual understanding and user-specific data from Meta platforms to offer personalized responses. Meta AI can be instructed to remember user preferences, such as favorite topics, hobbies, or goals, and it also automatically picks up on recurring themes from interactions.

Users with linked Facebook and Instagram accounts through Meta’s Accounts Center will experience deeper personalization, as the assistant can access more signals such as liked content, interaction history, and profile information. Personalized features are currently being rolled out in the U.S. and Canada.

What Features Are Available on the Meta AI Web Platform?

Meta has upgraded the web experience at meta.ai to reflect many features present in the mobile app. Users on desktop now have access to voice input, the Discover feed, and a newly enhanced image generation suite, offering expanded presets for style, mood, lighting, and other visual attributes.

In addition, Meta is testing a document editor that allows users to generate and export richly formatted documents containing both images and text. The company is also experimenting with document import capabilities, enabling the assistant to analyze and provide insights on uploaded files. These features are currently limited to select countries.

How Does Meta Address Voice Control and Data Transparency?

Meta has placed emphasis on user transparency and control. Voice interactions are accompanied by visual cues—such as an icon showing when the microphone is active—and users can manage or disable voice functionality through app settings.

The app includes privacy-focused design features and supports deletion of stored memory items. Voice-based responses are generated by the model in real time rather than being read from prewritten text, contributing to more fluid and natural interactions. Meta notes that users may still encounter inconsistencies during voice tests as the technology remains in its experimental phase.

What Does the Meta AI Ecosystem Include?

With the launch of the Meta AI app, the assistant now spans the company’s major platforms: Facebook, Instagram, WhatsApp, and Messenger, in addition to smart glasses and the web. This omnipresence is designed to make the AI experience uniform and accessible, no matter where the user is.

The app also reinforces Meta’s strategic position in the AI hardware market, particularly with the growing demand for AI-integrated wearables. Ray-Ban Meta glasses are central to this strategy, offering a hands-free way to interact with AI through voice commands and visual output via an integrated display and camera system.

Institutional Sentiment and Industry Implications

The launch of the Meta AI app powered by Llama 4 is viewed within the industry as a critical evolution of Meta’s long-term AI strategy. Analysts highlight that the company’s decision to consolidate AI tools into a single assistant accessible across platforms reflects its ambition to rival emerging AI offerings from OpenAI, Google, and Microsoft.

Sentiment among early adopters is cautiously optimistic. While the interface and response quality have been praised, some users have flagged limitations in voice accuracy and occasional latency. Institutions monitoring Meta’s AI expansion have noted the high potential for monetization, particularly in personalized recommendations, content creation, and smart assistant services.

There is also a growing discourse around privacy implications, as Meta AI increasingly relies on integrated personal data from multiple sources. The company maintains that memory settings are user-controlled and that privacy guidelines align with its existing standards across platforms.