
Meta is launching the first AI image generation model made by its Superintelligence Labs division. The Muse Image model now powers the image-making tools across the Meta AI app, Instagram, and WhatsApp, and it's coming soon to Facebook and Messenger, according to an announcement on Tuesday. It's part of the growing Muse family of AI models that replace Meta's Llama lineup. Alexandr Wang, who Meta hired to head up its Superintelligence Labs last year, says on Threads that Muse I
Will Meta's Muse Image model be available on Facebook by August 1, 2026?
Resolves by Aug 1, 2026
Meta has launched Muse Image, an AI image generation model created by its Superintelligence Labs division that now powers image-making tools across Meta AI, Instagram, and WhatsApp, with plans to expand to Facebook and Messenger. The model is described as "agentic," meaning it can reason through prompts, search the web, and plan before generating images. A distinctive feature allows users to @mention other Instagram accounts in their prompts, enabling the AI to incorporate those users' likenesses from their public photos into generated images, though users retain control over how their content is reused. Beyond this, the tool offers additional capabilities including image transformation with suggested prompts, design creation, room redesign based on images, and the ability to edit photos by drawing directly on them.
Robbyant, the embodied-AI company within Ant Group, has open-sourced LingBot-Vision, a family of self-supervised Vision Transformers built for dense spatial perception. The weights ship under Apache-2.0 on Hugging Face in four sizes — ViT-giant, ViT-large, ViT-base, and ViT-small — together with a technical report and inference code. Most vision foundation models are trained for semantic invariance: they learn to answer what is in an image while discarding exactly the fine-grained spatial st

NVIDIA has released Audex (Nemotron-Labs-Audex-30B-A3B), a unified audio-text large language model. It understands and generates both audio and speech. It also keeps the text intelligence of its backbone. The checkpoints, along with a smaller Audex-2B, are released under a noncommercial license. Most multimodal models pay a text tax. When labs add audio or vision output, text benchmarks often drop. NVIDIA research team reports this even for speech-only output models. Audex is designed to avo
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