16 releases covered on ThursdAI · ai.meta.com ↗
Meta launches Muse Spark voice conversations across its apps and glasses
Meta rolled out Muse Spark-powered voice conversations across the Meta AI app, WhatsApp, Instagram, Facebook, and Ray-Ban Meta glasses. The feature includes real-time image generation, live camera AI, and instant Reels/maps integration. Alex tested it live and called it surprisingly good, the first big consumer ship from Meta Superintelligence Labs.
Meta Sapiens2: family of 6 human-centric vision models (0.1B-5B)
Meta released Sapiens2, a family of six ViT models ranging from 0.1B to 5B parameters trained on 1 billion human images. The models set SOTA on human-centric vision tasks including pose estimation, segmentation, surface normals, and pointmaps, with weights on Hugging Face.
Meta launches Muse Spark, first model from Meta Superintelligence Labs
Meta dropped Muse Spark mid-show, the debut model from Meta Superintelligence Labs. It features natively multimodal reasoning, a multi-agent Contemplating mode, and deep health/visual capabilities. Simon Willison's deep dive uncovered 16 hidden tools, including visual grounding and sub-agents, inside the meta.ai chat UI.
Meta SAM Audio brings promptable source separation to audio
Meta released SAM Audio, an audio source separation model that extends the Segment Anything concept to sound. It supports multimodal prompting via text, visual, and temporal cues to isolate sources from audio, with weights on Hugging Face and code on GitHub.
Meta SAM 3: open-vocabulary segmentation and tracking in video
Meta's Segment Anything Model 3 adds open-vocabulary segmentation with text and exemplar prompts, letting you click or type to segment and track any object across images and video. The panel demoed it live on golden retriever videos, and it ships openly as part of Meta's open-source push.
SAM 3D turns single photos into 3D objects and human bodies
Released alongside SAM 3, SAM 3D reconstructs 3D objects and full human bodies from a single image with surprisingly high quality. It extends the Segment Anything family from 2D segmentation into single-image 3D reconstruction.
Meta releases Omnilingual ASR covering 1,600+ languages
Meta released Omnilingual ASR, an Apache 2.0 speech recognition family supporting over 1,600 languages, including 500+ never before served by any ASR system, with character error rate under 10% for 78 languages. The release includes an open corpus of 500k+ rows of transcribed audio, and the 1B model was praised as a near drop-in state-of-the-art replacement on Hugging Face.
TorchForge: PyTorch-native library for scalable RL post-training
Meta's PyTorch team, in collaboration with Weights & Biases/CoreWeave and Stanford, introduced TorchForge, a PyTorch-native library for scalable reinforcement-learning post-training and agent development. Built for massive GPU runs (W&B/CoreWeave provided 520 H100s) and competing with Ray via tools like the Monarch scheduler.
Meta releases 32B Code World Model for agentic code reasoning
Meta released CWM, a 32B open-weights research model trained to internally model code execution, aimed at agentic code reasoning rather than plain code completion. The weights are on Hugging Face under facebook/cwm, giving the open-source community a new approach to code world modeling.
Gaia2 agent benchmark and Agents Research Environments released
Meta and Hugging Face released Gaia2, a follow-up agent benchmark, together with ARE (Agents Research Environments) for testing agents in dynamic, asynchronous settings. It fed the episode's recurring concern that evaluation has to keep up whenever agent product claims get ambitious.
Meta Connect: new AI glasses with a display and neural control interface
At Meta Connect, Meta unveiled new AI glasses featuring a built-in display, a neural wristband control interface, and a new AI mode. The panel treats the glasses as an interface milestone, arguing the product surface for AI is shifting from apps to display-equipped wearables.
Meta launches Superintelligence Labs with up to $300M comp packages
Zuckerberg formally assembled Meta Superintelligence Labs, recruiting a dream team of researchers from OpenAI and other labs with rumored compensation packages of up to $300M. The panel treated the spree as proof that the AI talent war has entered full wartime economics, debating whether money alone can buy research momentum.
Meta announces the Llama API at LlamaCon, powered by Groq
At LlamaCon, Meta unveiled an official Llama API for developers, with fast inference powered by Groq hardware. Zuckerberg also confirmed Llama thinking models are coming, along with a new meta.ai app with a social feed and a full-duplex voice model in the works.
Meta ships Llama protection suite: Llama Guard 4, Firewall, Prompt Guard 2
Meta's LlamaCon security drop included Llama Guard 4 (text + image protection), Llama Firewall (stops prompt hacks and risky code), Prompt Guard 2 (faster jailbreak defense), CyberSecEval 4, and a new Defender Program for security researchers.
Meta drops Llama 4 Scout (109B) and Maverick (400B) open-weights MoE models
Meta released the long-awaited Llama 4 family in a chaotic Saturday drop: Scout (17B active / ~109B total, 16 experts) and Maverick (17B active / ~400B total, 128 experts), with a 2T-parameter Behemoth still in training. The models are multimodal, multilingual MoE architectures trained on ~30T tokens with FP8 and interleaved attention (iRoPE), claiming 10M context for Scout and 1M for Maverick. The release was marred by drama: the LMArena version differed from the released model, and the community criticized the lack of small local-friendly sizes.
Meta's MoCha generates movie-grade talking AI characters from speech and text
Meta GenAI researchers published MoCha, a model that generates stunningly realistic, movie-grade talking characters directly from speech plus text. Co-author Cong Wei joined the show to discuss the work, which points at AI actors entering Hollywood-quality territory.
Never miss a Meta AI launch — we cover every release live, every Thursday.