Dev ToolsOpen weights
Muse Gadgets
Nat Friedman open-sources Muse Gadgets: ESP32 firmware and SDK for Muse
Nat Friedman open-sourced Muse Gadgets, ESP32 firmware and an SDK for building hardware gadgets for Muse.
Meta AI Releases: Muse Gadgets, Personal Agent Protocol & Muse
Meta AI's coverage arcs from the open-weights Llama 4 era through the Segment Anything (SAM) research line to the Muse frontier models from Meta Superintelligence Labs. ThursdAI — the weekly AI news podcast hosted by Alex Volkov — has covered 28 Meta AI releases since Apr 2025, most recently Muse Gadgets on Oct 8, 2026. Highlights include Muse Glimmer 30B, Muse Spark 1.3, Muse Image & Muse Video, Muse Voice Transcribe. 12 of them shipped with open weights. Every entry below has the episode segment where we covered it live, plus primary-source links and key numbers where we have them.
28 releases12 open weights22 episodesApr 2025 – Oct 2026
October 2026 2
Also Released
Personal Agent Protocol
Meta and Sierra announce the Personal Agent Protocol
Meta and Sierra, Bret Taylor's company, announced an open standard for how personal agents deal with businesses, with Walmart, Shopify and Stripe on board. An agent can browse as a guest or sign in, and the business decides how it talks to the agent. OpenAI and Anthropic haven't joined yet.
September 2026 4
Products & Apps
Muse
Meta launches Muse: a free 24/7 personal agent with its own computer
Meta's Muse is a personal AI agent powered by the Muse Spark model that runs 24/7 on its own isolated Linux VM with a browser, free with up to 100M tokens per week. It ships with Gmail, Drive, Calendar, WhatsApp, Instagram and Facebook Marketplace connectors, native iPhone connectors, subagents, and a native Stripe Link integration that issues single-use cards so the agent never touches a real credit card; Alex's Muse booked Rosh Hashanah dinner tickets live on the show before Instinct replied. Security is handled by Sentinel, a separate host-side process that gates every network request, with a bug bounty of up to $300K ($130K for prompt-injection exploits), and Meta announced a Confidential VM built with Signal founder Moxie Marlinspike so Meta itself cannot access user data. Also coming: 1Password integration.
100M free tokens per week$300K maximum bug bounty ($130K for prompt injection)
Products & Apps
Muse Code
Muse Code leaves beta with $5 / $20 / $50 plans and a TypeScript SDK preview
Meta's coding agent is out of beta with plans at $5, $20, and $50 per month, a TypeScript SDK preview, and a contributor tier at $0.10/$0.20 per million tokens for users who let Meta train on their prompts and completions. Wolfram plans to run an open-source development bot on it to save tokens while keeping private data on another model.
$5 / $20 / $50 monthly plans$0.10 / $0.20 contributor tier per million tokens
New Models
Muse Spark 1.3
Meta Muse Spark 1.3 ties GPT-5.6 Sol and Grok 4.6 on the AA index, max mode ties Fable 5
Spark 1.3 xhigh scores 61 on the Artificial Analysis Intelligence Index, tying GPT-5.6 Sol and Grok 4.6, and a limited-preview max reasoning mode scores 62, tying Claude Fable 5, the first time Meta has jumped over OpenAI, Microsoft MAI, and Google on that index. Pricing is unchanged at $1.25/$4.25 per million; it runs about 3x faster than Fable and Sol at roughly 4x lower cost than Sol. MRCR long-context jumped from 66% to 98.5% at 1M tokens, and a contributor tier charges $0.10/$0.20 per million if Meta can train on your prompts. Open weights and a mystery 'Watermelon' model are teased as coming soon.
61 / 62 AA Intelligence Index, xhigh / max98.5% MRCR long context at 1M tokens$1.25 / $4.25 per million input / output tokens
New Models
Muse Voice Transcribe
Meta Muse Voice Transcribe: streaming ASR with diarization and endpointing in one model
Meta's streaming speech-to-text model handles transcription, speaker diarization, and endpointing in a single model, claims 3.1% streaming WER, and is API only. It costs about 18 cents per hour, supports a custom dictionary (it transcribes 'ThursdAI' correctly), and powers the live diarized transcript on thursdai.news/live, where Alex says it beats Descript on names and terms.
3.1% streaming WER (claimed)$0.18/hr price per hour of audio
August 2026 3
APIs & Platforms
Muse Image API
Meta Muse Image lands on the Meta Model API at $0.01 per image
Meta launched Muse Image on the Meta Model API at $0.01 per image, opening up what was previously only available through Meta AI surfaces. The standout is its agentic reasoning pipeline — it plans, runs web searches, generates code, and self-checks before producing the image. Also available on fal, Runway, and OpenRouter.
$0.01 per image on the Meta Model API
New ModelsOpen weights
Muse Glimmer 30B
Meta returns to open source with Muse Glimmer 30B under Apache 2.0
Meta came back to open source AI with Muse Glimmer, a 30B agentic model under Apache 2.0 that runs on a single 24GB consumer GPU. It scores 76.0 on SWE-Bench Verified and 51 on SWE-bench Pro (beating Qwen 3.6 27B), and with DFlash speculative decoding delivers 233 tok/s on an RTX 5090. Zuckerberg also promised open weights for the bigger Muse Spark 1.2 and published an essay arguing superintelligence should be distributed to everyone.
76.0 SWE-Bench Verified51 SWE-bench Pro233 tok/s on RTX 5090 with DFlash
Products & Apps
Muse Code + Muse Spark 1.2
Meta ships Muse Code, a terminal coding agent that's 12-21x cheaper if you feed Meta your data
Meta Superintelligence Labs released Muse Code in beta, a terminal coding agent on Muse Spark 1.2 that plans, writes, and validates changes across large repos, now available globally. The story is the pricing: $1.25/$4.25 per million tokens standard, or $0.10/$0.20 on the 'contributor' tier where Meta trains on your data, with cached input at $0.002 per million. Early testing puts Spark 1.2 around Grok 4.5 level using ~50% more tokens. Wolfram made the case for universal open harnesses instead; Nisten flagged it as a data-generation gift for open source maintainers.
$0.10/$0.20 contributor-tier price per 1M tokens in/out$1.25/$4.25 standard price per 1M tokens1M token context window
July 2026 3
Papers & Research
The AI Future Is for Everyone
Zuckerberg's WSJ op-ed: superintelligence must be distributed, not centralized
Mark Zuckerberg laid out Meta's three principles for the superintelligence era — individual empowerment, invention over automation, and balance of power through broad access — arguing the defining question is who gets access to superintelligence, not whether it arrives. Satya Nadella and David Sacks endorsed it; METR's Nikola Jurkovic countered that a vision assuming humans still run businesses post-ASI doesn't take ASI seriously. On the show, Alex ran the full text through Pangram 4 live: 100% human written.
New Models
Muse Spark 1.1 & Meta Model API
Meta launches Muse Spark 1.1 and its first paid Meta Model API
Mark Zuckerberg returned to X (35 seconds into the ThursdAI live show) to announce Muse Spark 1.1: a 1M-token-context agentic model that rivals GPT-5.5 and Opus 4.8 on agentic evals, claiming #1 on MCP Atlas, JobBench, Humanity's Last Exam and Finance Agent V2. It ships with Meta's first-ever paid developer API in public preview ($20 free credits, US-only at launch), computer use across desktop, browser and mobile, and parallel subagent delegation. On the held-back Vals AI Harvey legal-agent benchmark it scores 20% against Fable's 11%. Replit, Cline and Box are early partners. No open weights.
$1.25/$4.25 Per 1M tokens (in/out)1M Token context window20% vs 11% Harvey Legal Agent Bench vs Fable
New Models
Muse Image & Muse Video
Meta Superintelligence Labs ships Muse Image and previews Muse Video
MSL's first media-generation models: Muse Image is live in the Meta AI app, Instagram Stories (US) and WhatsApp, with agentic generation that calls web search and code execution, multi-reference composition, and Instagram social-context conditioning. Muse Video shares the same pretraining base and adds native audio, debuting at #3 on Arena text-to-video while Muse Image lands #2 on image. There is no public API, and public Instagram accounts are opted in to @-mention remixing by default.
#2 Arena text-to-image debut#3 Arena text-to-video debut1280 Arena image score
May 2026 2
Major Features & Updates
Muse Spark voice conversations
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.
New ModelsOpen weights
Sapiens2
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.
April 2026 1
New Models
Muse Spark
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.
December 2025 1
New ModelsOpen weights
SAM Audio
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.
November 2025 3
New ModelsOpen weights
SAM 3
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.
New ModelsOpen weights
SAM 3D
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.
New ModelsOpen weights
Omnilingual ASR
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.
1600+ Languages Supported
October 2025 1
Dev ToolsOpen weights
TorchForge
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.
520 H100s provided for development runs
September 2025 3
New ModelsOpen weights
Code World Model (CWM)
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.
Benchmarks & EvalsOpen weights
Gaia2 + ARE
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.
Products & Apps
Meta AI Glasses with Display
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.
July 2025 1
Also Released
Meta Superintelligence Labs (MSL)
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.
$300M Rumored Meta packages
May 2025 2
APIs & Platforms
Llama API
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.
New ModelsOpen weights
Llama Guard 4
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.
April 2025 2
New ModelsOpen weights
Llama 4 (Scout & Maverick)
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.
10M Stated context window for Llama 4 Scout288B Active parameters of unreleased Behemoth (2T total)17B Active parameters for both Scout and Maverick
Papers & Research
MoCha
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.
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