Releases

Meta Platforms closed with an estimated public equity market capitalization of $1.8474 trillion based on its Nasdaq-listed META shares.

Meta reported $60.801 billion in quarterly revenue, $15.848 billion in net income and headcount of 75,472 as of June 30, 2026.

Meta launched an API for developers to access and build with Muse Spark 1.1.

Meta released Muse Spark 1.1 and made it available through Meta Model API.

Meta announced Muse Video, a generative video model with native audio support, as coming soon.

Meta released Muse Image for instruction-following image generation, precise editing and multi-reference composition.

Meta released training code for Brain2Qwerty v1 and v2; v2 performs real-time non-invasive sentence decoding from brain recordings.

Meta introduced an AI business agent that can learn from a company's public content and support customer conversations across Meta surfaces.

Meta Superintelligence Labs introduced Muse Spark, a multimodal model designed for efficient broad intelligence.

Meta released an efficiency update adding object multiplexing and up to 32-frame-per-second multi-object video tracking on one H100.

Meta released a tri-modal foundation model that predicts high-resolution human brain activity from video, audio and language.

Meta published an infrastructure update describing four MTIA chips developed across two years for large-scale AI inference.

Meta and World Resources Institute released a DINOv3-based global forest-canopy model with improved accuracy and detail.

Meta released a unified multimodal model for separating sounds from complex mixtures using natural prompts.

Meta announced content partnerships to bring more real-time news and information into Meta AI responses.

Meta released a model for estimating human body pose and shape from a single image.

Meta released a model for reconstructing 3D objects and scenes from a single image.

Meta released SAM 3 for text-, exemplar- and visual-prompted detection, segmentation and tracking in images and video.

Meta released speech-recognition models covering more than 1,600 languages plus an open corpus for 350 underserved languages.

Meta launched Vibes, a feed in the Meta AI app and meta.ai for creating, remixing and sharing AI-generated short videos.

The US General Services Administration added Meta's Llama models to OneGov to support federal-agency AI adoption.

Meta announced an EMG wristband that translates subtle muscle signals into controls for Meta Ray-Ban Display glasses.

Meta announced AI glasses with an in-lens color display for visual Meta AI answers, messages, navigation and captions.

Meta launched second-generation Ray-Ban Meta glasses with longer battery life, 3K video and expanded Meta AI features.

Meta released DINOv3, a scaled self-supervised vision foundation model for high-quality visual features.

Mark Zuckerberg outlined Meta's strategy to build personal superintelligence and distribute it through consumer products.

Meta announced Hyperion, a Louisiana AI data-center campus planned to scale to five gigawatts of compute capacity.

Meta consolidated its frontier AI efforts into Meta Superintelligence Labs, led by Chief AI Officer Alexandr Wang with Nat Friedman overseeing AI products and applied research.

Meta and EssilorLuxottica introduced performance-focused Oakley Meta HSTN AI glasses.

Meta made a $14.3 billion non-voting minority investment in Scale AI and expanded the companies' commercial relationship; Scale was valued above $29 billion.

Meta released V-JEPA 2 for video understanding, physical-world prediction and zero-shot robot planning.

Meta launched a standalone personalized AI assistant app built with Llama 4 and connected to meta.ai and AI glasses.

Meta released vision encoders for images and video designed to support recognition, localization and multimodal systems.

Meta released a multimodal safety classifier for Llama 4 inputs and outputs.

Meta previewed Behemoth as a teacher model for the Llama 4 family; it was not made generally available.

Meta released Llama 4 Maverick, a natively multimodal mixture-of-experts model for general AI workloads.

Meta released Llama 4 Scout, a natively multimodal mixture-of-experts model with a 10-million-token context window.

Meta began rolling out its AI assistant across 41 European countries and 21 overseas territories.

Meta released PARTNR, a benchmark, dataset and planning model for human-robot collaboration on household tasks.

Meta researchers introduced a non-invasive deep-learning system for decoding typed sentences from EEG and MEG brain recordings.

Meta's first TRIBE brain-response model formed the foundation for its award-winning Algonauts 2025 entry; Meta's later TRIBE v2 announcement identifies the original model as 2025 work.

Meta released a behavioral foundation model for controlling virtual humanoid agents.

Meta released a multilingual 70B instruction model with performance comparable to larger Llama 3.1 models.

Meta released research on a multimodal language model that freely mixes text and speech.

Meta introduced foundation models for video generation, personalized video, editing and synchronized audio.

Meta published improved SAM 2.1 checkpoints and developer tooling.

Meta released a 90B multimodal model for image understanding.

Meta released an 11B multimodal model for image understanding.

Meta released a compact 1B text model for on-device use.

Meta released a compact 3B text model for on-device use.

Meta and EssilorLuxottica extended their long-term partnership to develop multiple generations of smart-eyewear products.

Meta launched AI Studio for creating, sharing and discovering custom AI characters.

Meta released SAM 2 for promptable object segmentation in both images and video.

Meta released a classifier for detecting prompt injection and jailbreak attempts.

Meta released a multilingual Llama 3.1-based safeguard model.

Meta released its 405B-parameter open-weights frontier model.

Meta released Llama 3.1 70B with a 128K context window and multilingual support.

Meta released Llama 3.1 8B with a 128K context window and multilingual support.

Meta introduced a research pipeline for generating high-quality 3D assets with text and texture control.

EvolutionaryScale, founded by former Meta researchers, released ESM-3, a generative protein model originating from Meta's ESM program.

Meta introduced an early-fusion multimodal foundation model capable of generating and reasoning over interleaved text and images.

Meta and World Resources Institute released global high-resolution canopy-height maps built with DINOv2.

Meta released the Llama 3-based update to its open safeguard model.

Meta released the 8B Llama 3 pretrained and instruction-tuned models.

Meta released the 70B Llama 3 pretrained and instruction-tuned models.

Meta introduced a second-generation MTIA accelerator with increased performance and memory capacity.

Meta released V-JEPA, a video model trained by predicting missing representations rather than pixels.

Meta released a 70-billion-parameter Code Llama model for code generation and instruction following.

Meta introduced Audiobox, a foundation research model for generating and editing speech, voices and sound effects.

Meta released Llama Guard, a safeguard model for classifying conversational AI inputs and outputs.

Meta launched Purple Llama, an open trust-and-safety initiative for generative AI.

Meta launched a standalone web experience for generating images with Emu.

Meta released a low-latency streaming speech translation research model.

Meta released a research model that preserves vocal style and prosody in translated speech.

Meta released a more capable second version of SeamlessM4T.

Meta published Emu Edit for instruction-based image editing with precise task control.

Meta published Emu Video, a factorized text-to-video generation method.

Meta introduced ExecuTorch, an open-source framework for efficient on-device PyTorch inference.

Meta and EssilorLuxottica launched the second-generation Ray-Ban Meta smart glasses with voice and AI capabilities.

Meta introduced Emu as the image-generation technology powering new generative AI experiences.

Meta introduced Meta AI, a conversational assistant for WhatsApp, Messenger and Instagram.

Meta released code-specialized Llama models for generation, completion and instruction following.

Meta released SeamlessM4T for multilingual speech-to-speech, speech-to-text, text-to-speech and text translation.

Meta released AudioCraft with MusicGen, AudioGen and EnCodec components for generative audio research.

Meta released Llama 2 models in 7B, 13B and 70B sizes for research and commercial use.

Meta selected Microsoft as a preferred partner for distributing Llama 2 through Azure and Windows.

Meta introduced Voicebox, a generative speech model capable of editing, sampling and cross-lingual speech generation.

Meta released MMS speech-recognition and synthesis models covering more than 1,100 languages.

Meta unveiled its first in-house AI inference accelerator, designed initially for recommendation workloads.

Meta released ImageBind, a joint embedding model spanning images, text, audio, depth, thermal and IMU data.

Meta released DINOv2, a self-supervised vision foundation model and pretrained visual features.

Meta released SAM, its promptable image-segmentation model, together with model weights and the SA-1B dataset.

Meta released the first LLaMA model family for approved research use, spanning 7B to 65B parameters.

Meta withdrew the public Galactica demo after criticism over unreliable and misleading generated scientific content.

Meta AI released a research demo of Galactica, a large language model trained on scientific knowledge.

Meta AI published hundreds of millions of predicted metagenomic protein structures with ESMFold.

Meta released EnCodec, a neural audio codec for high-fidelity compression.

Meta open-sourced AITemplate, a Python framework that transforms neural networks into optimized GPU code.

Meta presented Make-A-Video, a system for generating short videos from text prompts.

Meta moved PyTorch into an independent foundation hosted by the Linux Foundation.