meta-ai

Threads is testing a feature where users can mention @meta.ai in posts to get context on trends and breaking news. The integration is currently in beta in Malaysia, Saudi Arabia, Mexico, Argentina, and Singapore.

Image model releases are generating 6.5 times more mobile app downloads than traditional text model updates, according to Appfigures. Google's Gemini added 22 million downloads in 28 days following its image model release, while ChatGPT added 12 million after GPT-4o image capabilities launched.

Meta is developing AI agents for personal and business use that will run continuously to help users achieve goals, CEO Mark Zuckerberg said during the company's Q1 2026 earnings call. The agents will build on Meta's newly-released Muse Spark model from Meta Superintelligence Labs.

Meta launched Muse Spark on April 8, 2026, a natively multimodal reasoning model with tool-use and visual chain-of-thought capabilities. Unlike Llama, it is entirely proprietary with no open weights. The model scores 52 on AI Index v4.0 and excels on health benchmarks but represents Meta's departure from its open-source identity.

Meta's AI app surged from No. 57 to No. 5 on the U.S. App Store within 24 hours of launching Muse Spark, Meta's new multimodal AI model. The model accepts voice, text, and image inputs and features reasoning capabilities for science and math tasks, visual coding, and multi-agent functionality.

Meta released Muse Spark this week, its first major new AI model in over a year, marking a strategic shift from open-source Llama models to proprietary technology. The release comes nearly 10 months after Meta spent over $14 billion to hire Scale AI co-founder Alexandr Wang and establish Meta Superintelligence Labs. The critical question remains how Meta will monetize the model and compete with established rivals OpenAI, Anthropic, and Google.

Meta announced Muse Spark today, its first model release since Llama 4 a year ago. The hosted model is available in private API preview and on meta.ai with Instant and Thinking modes, benchmarking competitively against Anthropic's Opus 4.6 and Google's Gemini 3.1 Pro, though behind on Terminal-Bench 2.0.

Meta has discontinued its Llama model line and launched Muse Spark as the foundation of its new AI strategy under Meta Superintelligence Labs. The model features a Contemplating mode for complex reasoning tasks and specializes in multimodal perception, health applications, and agentic tasks. Muse Spark is available today in Meta AI apps, with a private API preview for select partners.

Researchers at Meta, University of British Columbia, and partner institutions have developed hyperagents—AI systems that optimize both their task performance and the mechanisms controlling their self-improvement. Unlike previous self-improvement approaches locked to coding tasks, DGM-Hyperagents (DGM-H) demonstrate significant gains across four domains and can transfer improvement strategies to entirely new tasks.

Facebook Marketplace is rolling out Meta AI features that automatically draft replies to buyer inquiries and generate item listings from photos. Sellers can also now offer shipping on listings and view buyer profile summaries with activity history.

A Meta FAIR and New York University research team trained a multimodal AI model from scratch and identified that several widely-held assumptions about multimodal model architecture and training don't align with their empirical findings. The work addresses growing concerns about text data exhaustion in LLM training.

Meta is testing a shopping research feature within its Meta AI chatbot designed to compete with similar e-commerce tools from OpenAI's ChatGPT and Google's Gemini. The feature represents Meta's effort to expand AI chatbot capabilities beyond conversation into commerce-focused use cases.