Researcher reconstructs Meta's undisclosed model specification from the chain of thought

1. 23:29
   LessWrongSelected

   Researchers reconstruct Meta's undisclosed Muse model specification Charter from chain of thought

   LessWrong user vigji reconstructed most of the undisclosed model specification Charter of Meta's open-weight model Muse Spark Open by eliciting it segment by segment in the chain of thought. He found that the model recites the specification verbatim in its chain of thought, then used OpenRouter with 260 prompts to generate 884 conversations, collected fragments and scored them by cross-conversation reproduction frequency, and verified with different questioning strategies. The reconstructed text describes Muse as an extension of human civilization, requires evidence-driven behavior, defaults to cooperation in game-theoretic scenarios, and lists corrective duties and obligations to humanity as inviolable hard constraints, followed by fiduciary duties and Meta's guidelines, with the Charter taking precedence when it conflicts with its own judgment. The specification also requires acting according to the true situation when being evaluated or monitored.

1. 00:24
   X@SISpotlight· Discussion

   🔥 𝗠𝗲𝘁𝗮'𝘀 𝗠𝘂𝘀𝗲 𝗦𝗽𝗮𝗿𝗸 𝗢𝗽𝗲𝗻: 𝟴𝟭𝟲𝗕 𝗠𝗼𝗱𝗲𝗹 𝗼𝗻 𝗧𝘄𝗼 𝗠𝗮𝗰 𝗦𝘁𝘂𝗱𝗶𝗼𝘀? Meta recently released Muse Spark Open, an 816B-parameter mod…(opens the original post in a new tab)

1. 20:01
   X@dl_weekly· Discussion

   🤖 From this week's issue: Meta releases Muse Spark Open, an 816-billion-parameter mixture-of-experts model with 42 bill…(opens the original post in a new tab)
2. 15:20
   X@_MrCode_· Discussion

   Meta just released Muse Spark Open: 816B params, 42B active, open weights. Meta is #4 on my AI scoreboard, with Muse W…(opens the original post in a new tab)
3. 07:19
   XX @ArtificialAnlys· Discussion

   Results from Muse Spark Open, Meta’s newly released 816B (42B active) open-weights model, are now live on AA-AgentPerf. In our initial te...(opens the original post in a new tab)
4. 04:37
   X@cacheon_ai· Discussion

   Meta released Muse Spark Open on 15 October. Six days later, it's live in Cacheon's optimization arena. Can miners fi…(opens the original post in a new tab)

1. 04:14
   RedditReddit r/LocalLLaMA· Discussion

   Meta's 816B Muse Spark Open scores 39 on Artificial Analysis, the 180B Qwen3.8-Flash-Next scores 40. Score vs size for 11 open-weight models(opens the original post in a new tab)
2. 01:57
   RedditReddit r/LocalLLaMA· Discussion

   I got Muse Spark 816B running on 10× A40 GPUs — some interesting results comparing TensorSharp and llama.cpp(opens the original post in a new tab)

1. 19:18
   RedditReddit r/artificial· Discussion

   Week of Oct 12–16, 2026: open-weight releases from Meta/Nvidia, GPT-4 API shutdown date, enterprise cost caps, and regulatory probes(opens the original post in a new tab)

1. 04:10
   RedditReddit r/LocalLLaMA· Discussion

   72 hours, four big open weights drops. The only one that fits in 24GB came from NVIDIA, of all companies.(opens the original post in a new tab)

1. 20:05
   RedditReddit r/LocalLLaMA· Discussion

   Muse Spark on a single Mac Studio(opens the original post in a new tab)
2. 16:45
   X@kuriharan· Discussion

   Learn out. Meta and Apple are partnering to run an open-weight AI model on Mac Studio computers https://qz.com/meta-app…(opens the original post in a new tab)
3. 09:35
   RedditReddit r/LocalLLaMA· Discussion

   Muse Spark on M3U 256 GB(opens the original post in a new tab)
4. 01:42
   X@NanoGPTcom· Discussion

   Meta's Muse Spark Open is now on NanoGPT. A reasoning model for coding, understanding codebases and working with tools…(opens the original post in a new tab)

1. 22:06
   WebNathan Lambert· Media coverage

   Meta shakes up the frontiers, open and closed(opens the original post in a new tab)
2. 20:30
   X@shawnchauhan1· Discussion

   Running a frontier-scale model on your own desk just became possible. Here's what that does and doesn't change for ente…(opens the original post in a new tab)
3. 17:13
   X@JulianGoldieSEO· Discussion

   Meta's Muse Spark Open is an 816B open-weight AI that runs on two Mac Studios sitting on a desk. No data center. No cl…(opens the original post in a new tab)
4. 13:28
   X@wontletitbe· Discussion

   Meta just released Muse Spark Open weights. Now it’s xAI’s turn. 👀 Waiting for Elon Musk to open-source the latest Gro…(opens the original post in a new tab)
5. 12:59
   X@kimindiehacker· Discussion

   @AlexFinn how's the performance of Muse Spark Open on your Mac Studio with code?(opens the original post in a new tab)
6. 09:31
   X@AlexFinn· Discussion

   The future is going to be incredible I have Muse Spark Open running on my Mac Studio Pumping out code. Found me a res…(opens the original post in a new tab)
7. 08:22
   X@sycbruce· Discussion

   Still feeling the sting of API bills? 816 billion parameters can now fit in your study. Meta released Muse Spark Open on 10-15: 816B total params/42B activated/1 million context, focused on code and agents (self-proclaimed "America's strongest open-weight model"). The teammate is Apple: ...(opens the original post in a new tab)
8. 08:06
   XX @rohanpaul_ai· Discussion

   Today’s edition of my newsletter just went out.(opens the original post in a new tab)
9. 08:02
   WebAI Era (Xinzhiyuan)· Media coverage

   Just now, Meta unveiled America's strongest open-weight model! Two Mac Studios are enough to run it(opens the original post in a new tab)
10. 07:26
    X@alexandr_wang· Discussion

    after an exciting week of launches (muse wonder [full] & muse spark open), i want to write a note of appreciation to th…(opens the original post in a new tab)
11. 06:22
    XX @arena· Discussion

    Exciting news: Muse Spark Open (Max) by @AIatMeta is the #1 US open model in the Code Arena: WebDev! With 1511 pts, it’…(opens the original post in a new tab)
12. 06:15
    X@GameBusiness_JP· Discussion

    Meta releases open-weight AI "Muse Spark Open" for free. Apple cooperates, using multiple Mac Studios for local operation https://www.gamebusiness.jp/article/2026/10/17/28349…(opens the original post in a new tab)
13. 05:19
    X@CyberPulse56· Discussion

    Apple and Meta have collaborated to run Muse Spark Open, Meta’s 816-billion-parameter open-weight AI model, locally acr…(opens the original post in a new tab)
14. 04:43
    X@porquettfin· Discussion

    “Desarrollar tu propia IA” Porque Meta acaba de lanzar un modelo de inteligencia artificial con 816.000 millones de pa…(opens the original post in a new tab)
15. 02:05
    X@Ruben_Wolff· Discussion

    Lots of people shitting on Meta for being behind Qwen and only claiming "best of western models". But in our benchmarks…(opens the original post in a new tab)
16. 01:55
    X@BrightMorgX· Discussion

    Apple and Meta partner on open-weight AI for Macs — Apple and Meta are collaborating to bring Meta’s powerful open-weig…(opens the original post in a new tab)
17. 01:02
    X@BitBiasedAI· Discussion

    Meta Launches an 816B-Parameter Open-Weight AI Model That Runs on Macs Meta has unveiled Muse Spark Open, a powerful n…(opens the original post in a new tab)
18. 01:01
    X@r0bin_yz· Discussion

    Meta just dropped Muse Spark Open — 816B parameters, 1M context window, runs on TWO Mac desktops. The most powerful US…(opens the original post in a new tab)

1. 22:40
   X@AndAIyou· Discussion

   Meta put Muse Spark Open weights out yesterday. 816B total, 42B active, 1M context, multimodal, and they say it is the…(opens the original post in a new tab)
2. 22:12
   X@JulianGoldieSEO· Discussion

   Muse Spark Open is a free 816B AI brain from Meta that runs on two Macs on your desk. No data center. No cloud. Two bo…(opens the original post in a new tab)
3. 21:30
   X@a47news_ai· Discussion

   Meta and Apple are teaming up to bring powerful AI to Mac computers. 🤖💻 Meta’s new Muse Spark Open model is designed t…(opens the original post in a new tab)
4. 21:06
   X@gabipuricelli· Discussion

   Meta acaba de liberar Muse Spark Open, un modelo abierto de 816B parámetros que según ellos corre en dos Mac Studio. Ha…(opens the original post in a new tab)
5. 19:52
   WebWSJ Technology· Media coverage

   Nvidia, Meta and Apple Unveil New Open Models(opens the original post in a new tab)
6. 19:29
   Semafor

   Apple and Meta will partner to launch a new AI model

   Apple and Meta said they will jointly release a new open-weight AI model that can run on high-end Macs. The two companies said the move is intended to provide an American open-weight model while competing with models from Chinese vendors as well as the closed-source systems of Anthropic and OpenAI. Meta AI head Alexandr Wang told Axios he was glad to see the two companies reconcile. Apple and Meta have been at odds for more than a decade; Meta has complained that Apple's App Store policies have cost it billions of dollars, and its CEO is said to have asked his team to make things painful for Apple.

7. 19:10
   X@actu_ia· Discussion

   Meta publie Muse Spark Open, un modèle d'IA ouvert, téléchargeable et modifiable, présenté comme le plus puissant des É…(opens the original post in a new tab)
8. 14:56
   X@AounOnRise· Discussion

   GM Meta just dropped Muse Spark Open, an 816B open model that runs on Macs, while Google’s Gemini 4 Argon is out and p…(opens the original post in a new tab)
9. 14:50
   X@JoshuaKCrypto· Discussion

   Muse Spark Open: Meta's new open-weight agent model @AIatMeta releases an open model that tops Kimi K3 and Qwen3.8 on…(opens the original post in a new tab)
10. 14:41
    WebGeekPark· Media coverage

    Apple and Meta have made up, and AI is the reason(opens the original post in a new tab)
11. 14:25
    WebcnBeta· Media coverage

    Meta releases "America's strongest" open-weight model Muse Spark Open(opens the original post in a new tab)
12. 14:03
    X@Benlebowski· Discussion

    #Meta publie les poids de #MuseSpark Open, modèle multimodal de 816 Md de paramètres au total. Meta met en avant le cod…(opens the original post in a new tab)
13. 13:18
    X@OxAHS· Discussion

    Meta just dropped Muse Spark Open: the most capable US open-weight AI model yet, and it runs on a Mac Studio. Plus a fr…(opens the original post in a new tab)
14. 13:14
    WebITmedia AI+· Media coverage

    Meta announces "best-performing US-made" open model "Muse Spark Open", optimized for Apple Silicon, runs locally on Mac Studio×2(opens the original post in a new tab)
15. 10:35
    WebGigazine· Media coverage

    Metaが8160億パラメーターのオープンウェイトAI「Muse Spark Open」を公開、Mac Studioわずか2台で動作(opens the original post in a new tab)
16. 10:30
    X@Marktechpost· Discussion

    Meta just released Muse Spark Open, an 816B MoE with 42B activated parameters. Meta calls it the most capable US open-w…(opens the original post in a new tab)
17. 10:24
    WebSynced (Jiqizhixin)· Media coverage

    Meta returns to open source: new 816B model, runs on two Mac Studios(opens the original post in a new tab)
18. 10:01
    X@zhuohan123· Discussion

    Excited to see Muse Spark Open released! 🚀 Proud that vLLM powered RL inference during its training at Meta. A glimps…(opens the original post in a new tab)
19. 09:00
    WeChat · QbitAI

    Meta open-sources Muse Spark Open: 816 billion parameters, claims it is the strongest open-source model in the US

    Meta releases Muse Spark Open model weights. The model has 816 billion parameters, supports a 1 million token context, is natively multimodal, and focuses on coding and agent tasks. In official tests, it scores 61.8 on JobBench, slightly higher than GLM-5.3's 61.4, but on Terminal-Bench 2.1 it scores 76.4, lower than Kimi K3's 85.0. Two Mac Studios with M5 Ultra can run it locally using the MLX framework.

20. 08:42
    X@alexandr_wang· Discussion

    lmao muse spark open balling out(opens the original post in a new tab)
21. 08:41
    XX @ArtificialAnlys· Discussion

    Meta has released Muse Spark Open, an 816B (42B active) open-weights model that scores 39 on the Artificial Analysis In…(opens the original post in a new tab)
22. 08:34
    The Guardian · AI

    Meta releases new open-weight model Muse Spark Open

    Meta released the open-weight model Muse Spark Open, claiming it is the strongest U.S. open-weight model to date and can compete at the same level as similar models from some Chinese developers. The model targets coding and agent tasks, excelling in long-horizon tasks, complex software engineering, and multi-step reasoning, with strong guardrails built in. Meta says it is optimized for the Apple M5 Ultra chip and can run on two Mac Studios.

23. 08:24
    WebIThome (China)· Media coverage

    Apple and Meta break the ice with collaboration: two 512GB memory Mac Studios run the "strongest open-source AI model in the US" locally(opens the original post in a new tab)
24. 08:13
    WeChat · AI Era (Xinzhiyuan)

    Meta open-sources the 816B-parameter model Muse Spark Open, which can run on two Mac Studio machines

    Meta open-sourced the open-weight model Muse Spark Open with 816B parameters, using a MoE architecture with 42B activated parameters, supporting a 1 million token context and native multimodal text, image, video, and audio. The company calls it the most powerful open-weight model in the U.S. to date. The model can run on two Mac Studio machines equipped with M5 Ultra, each with 512GB of unified memory for a combined 1TB, and a four-Mac Studio cluster generates more than 36 tokens per second. Weights can be downloaded from Hugging Face and are available through AWS SageMaker, Google Cloud, Microsoft Foundry, and platforms such as Baseten, Fireworks, Groq, Modal, Nebius, OpenRouter, and Together AI. According to Axios, Meta and Apple collaborated to run the model on Mac.

25. 08:09
    X@zcbenz· Discussion

    Is this the first time Meta and Apple work together on CEO level? MLX is the preferred local inference platform for Met…(opens the original post in a new tab)
26. 08:09
    X@gggxxxnms· Discussion

    Meta released the open-weight model Muse Spark Open: a natively multimodal MoE architecture with 816 billion total parameters and 42 billion activated, supporting a 1 million token context window, focused on coding and agent tasks. Meta collaborated with Apple to optimize the MLX framework, two M5…(opens the original post in a new tab)
27. 07:57
    WeChat · Synced (Jiqizhixin)

    Meta returns to open source: 816B new model, runnable on two Mac Studios

    Meta releases open-weight model Muse Spark Open, with 816B parameters, 42B active parameters, 1M context, natively multimodal, aimed at code and agent tasks. The model is developed with Apple, optimized for Apple silicon unified memory architecture based on the MLX framework, and can run locally on two 512G M5 Ultra Mac Studios; the two machines cost over $40,000. Meta has adapted inference engines including SGLang, vLLM, TensorRT-LLM, and llama.cpp. Benchmarks show its coding and reasoning abilities are weaker than models such as Kimi K3, Qwen3.8 Flash Next, and GLM 5.3 Flash, but it leads on some agent metrics; comparison models come from different harnesses, and some scores are self-reported by vendors.

28. 07:42
    X@sokolware· Discussion

    Meta just released the weights for Muse Spark Open, an 816B model built for coding and agent work. What I like is that…(opens the original post in a new tab)
29. 07:36
    WebIThome (China)· Media coverage

    Claims to be "America's strongest open-source AI model": Meta releases Muse Spark Open(opens the original post in a new tab)
30. 06:20
    WebSiliconANGLE · AI· Media coverage

    Meta releases 816B-parameter Muse Spark Open for coding and agent work(opens the original post in a new tab)
31. 06:13
    X@vipulved· Discussion

    Excited to be partnering with @AIatMeta to bring their new open models to @togethercompute. Meta Muse Spark Open now av…(opens the original post in a new tab)
32. 06:00
    WeChatWeChat · AI Cambrian· Media coverage

    Just now, Meta released the strongest open-source model in the US: 816 billion parameters, and two Mac Studios can run it at full capacity(opens the original post in a new tab)
33. 05:57
    X@VivideoAI· Discussion

    Meta partnered with Apple to launch Muse Spark Open, an 816B open-weight multimodal model designed to run locally on Ap…(opens the original post in a new tab)
34. 05:51
    RedditReddit r/LocalLLaMA· Discussion

    model: add Muse Spark Open (text, vision and audio) by ServeurpersoCom · Pull Request #30616 · ggml-org/llama.cpp(opens the original post in a new tab)
35. 05:43
    X@minchoi· Discussion

    Open weights had a huge day. Meta released Muse Spark Open. 816B parameters. 42B active. 1M token context. Meta calls…(opens the original post in a new tab)
36. 05:15
    X@merge_api· Discussion

    Muse Spark Open from @Meta is now available on Merge Gateway. Meta calls it the most capable US open-weight model to d…(opens the original post in a new tab)
37. 05:02
    XX @rohanpaul_ai· Discussion

    After years of rivalry, Meta and Apple join hands to deliver open-weight AI to the Mac. Meta released the weights for…(opens the original post in a new tab)
38. 05:00
    X@matobamiki· Discussion

    Meta released Muse Spark Open on Oct 15: open weights, 816B params (42B active), 1M-token context. Meta says it runs on…(opens the original post in a new tab)
39. 04:42
    X@ollama· Discussion

    Muse Spark Open is now on Ollama. @Meta's open-weight model for coding and tool use, with a 1M-token context window.…(opens the original post in a new tab)
40. 04:41
    XX @rohanpaul_ai· Discussion

    Meta released the weights of Muse Spark Open, on Huggingface, an 816B-parameter model built for coding and agentic work…(opens the original post in a new tab)
41. 04:23
    X@Joshua_WD· Discussion

    Meta just released the weights for Muse Spark Open. By Meta's own numbers it leads on tool use and trails on coding, an…(opens the original post in a new tab)
42. 04:20
    X@0x0SojalSec· Discussion

    The most capable US open-weight model just Drop. Meta released Muse Spark Open today. - 816B total/42B active - 1M con…(opens the original post in a new tab)
43. 04:16
    Hacker NewsHacker News· Discussion

    Apple and Meta team up to make Muse AI model run on Mac computers(opens the original post in a new tab)
44. 04:09
    X@TechCrunch· Discussion

    Meta and Apple have teamed up for the launch of the social media giant's newest model, Muse Spark Open, which will run…(opens the original post in a new tab)
45. 04:09
    X@googlecloud· Discussion

    Muse Spark Open from @Meta is now available on the Gemini platform. Meta's coding-optimized open-weight model is avail…(opens the original post in a new tab)
46. 04:04
    TechCrunch AI

    Meta released the open-weight model Muse Spark Open, which can run locally on Mac

    Meta released the open-weight model Muse Spark Open, calling it America's "most powerful" open-weight model, which can run locally on Apple computers. The model has 816B parameters and a 1 million token context window, and requires at least 1TB RAM to run locally. Meta said it has paired the model with the AI coding terminal Muse Code for Mastodon client fixes and DaVinci Resolve asset review, and made it available through multiple API platforms.

47. 04:00
    X@RSA_careers· Discussion

    Apple & Meta bury the hatchet! 🤝 Muse Spark Open (816B open-weight AI) now runs locally on Mac Studios. The AI race…(opens the original post in a new tab)
48. 03:37
    WebcnBeta· Media coverageIn Chinese, as written

    Meta携手苹果将8160亿参数AI模型引入Mac Studio(opens the original post in a new tab)
49. 02:52
    X@rynorhn· Discussion

    meta just released the weights for muse spark open, and this thing is a monster. > 816b total parameters, 42b active >…(opens the original post in a new tab)
50. 02:51
    X@ScarletKc· Discussion

    😂 https://research.meta.ai/blog/muse-spark-open(opens the original post in a new tab)
51. 02:51
    X@ScarletKc· Discussion

    Meta suddenly made a big move. Muse Spark Open has officially opened its weights, claiming to be the strongest open-weight model in the United States at present. 816B total parameters, 42B active parameters, 1 million token context, natively multimodal, designed specifically for Coding and Agent. OS...(opens the original post in a new tab)
52. 02:46
    X@zubiqo· Discussion

    Meta $META released weights for Muse Spark Open, calling it the most capable US open-weight model to date, with 816B to…(opens the original post in a new tab)
53. 02:46
    X@Voicu_Catalin· Discussion

    Meta x Apple Silicon collaboration confirmed by Mark Zuckerberg Muse Spark Open weights dropping today Optimized to r…(opens the original post in a new tab)
54. 02:36
    X@DesignArena· Discussion

    Muse Spark Open by @Meta is now available on Design Arena! With 816B total parameters and a 1M-token context window, M…(opens the original post in a new tab)
55. 02:35
    X@trebolloc· Discussion

    So proud of the MLX team! Muse Spark Open, on your desk: 816B params at 36+ tokens/sec on 4 Mac Studio computers. We'…(opens the original post in a new tab)
56. 02:34
    The Decoder

    Meta responds to Qwen, GLM, and Kimi in the open-weight track with Muse Spark Open

    Meta released the open-weight model Muse Spark Open, with 816B parameters (42B active), supporting up to 1 million token context and text, image, video, and audio inputs. Meta says it is the strongest open-weight model in the US, aimed at coding and agent tasks, leading Qwen 3.8, GLM 5.3, and Kimi K3 on several benchmarks such as JobBench, MCP-Atlas, HLE-Diamond, and ZeroBench, but trailing on some coding benchmarks and still clearly behind Meta's paid Muse Wonder Full model. The model is optimized for Apple M5 Ultra and can run locally on two Mac Studios with 512GB unified memory each; weights are available on Hugging Face.

57. 02:32
    X@tarekalaaddin· Discussion

    816B parameters. Open weights. Runs on two Mac Studios. Meta and Apple just shipped something together — and it change…(opens the original post in a new tab)
58. 02:32
    X@johnherzog· Discussion

    JUST IN: META $META RELEASES MUSE SPARK OPEN — AN 816B TOTAL / 42B ACTIVE MULTIMODAL OPEN-WEIGHT MODEL WITH A 1M-TOKEN…(opens the original post in a new tab)
59. 02:24
    X@NVIDIAAI· Discussion

    And @AIatMeta went live with Muse Spark Open! The 816B model was trained on NVIDIA GB300 NVL72. Its 1M-token context w…(opens the original post in a new tab)
60. 02:19
    X@verge· Discussion

    Meta and Apple’s CEOs are publicly supporting each company’s work on Muse Spark Open. https://www.theverge.com/news/101…(opens the original post in a new tab)
61. 02:19
    XX @arena· Discussion

    Muse Spark Open by @AIatMeta is now in the Arena. Head to Agent Arena to test it out, scores coming soon!(opens the original post in a new tab)
62. 02:15
    The Verge AI

    Meta and Apple team up to make Muse AI model run better on Mac

    Meta released the open-weight model Muse Spark Open, calling it the most capable American open-weight model to date, and partnered with Apple to let it run locally on Mac. The model is natively multimodal with 816 billion total parameters; Meta says it excels at long-horizon tasks, complex software engineering, and multi-step reasoning, and can run on two Apple M5 Ultra Mac Studio machines using the latest MLX framework. Meta CEO Mark Zuckerberg said on X that Muse Spark Open's weights were released that day and ran well on the new Mac Studio; Apple's new CEO John Ternus replied with congratulations, and Meta's Chief AI Officer Alexandr Wang told Axios the two companies had been collaborating for months. Apple also published technical articles about MLX, Muse Spark Open, and two other open models.

63. 02:15
    X@Hislordship_9· Discussion

    Meta just open-weighted Muse Spark Open: 816B total parameters, 42B active, 1M context, built for coding agents. Easy…(opens the original post in a new tab)
64. 02:15
    XX @Thom_Wolf· Discussion

    we’re so back(opens the original post in a new tab)
65. 02:07
    X@mattdeitke· Discussion

    Muse Spark Open is live on @huggingface! 🤗 - Strong agentic model (especially for personal agents) - Multimodal from t…(opens the original post in a new tab)
66. 02:05
    X@benjaminvincent· Discussion

    Entre @Apple et @meta, c’est du sérieux, dites donc... La pub originelle du #mac copiée au profit de Muse Spark Open, s…(opens the original post in a new tab)
67. 02:04
    X@DarisaRupesh· Discussion

    @Banana3Stocks APPLE $AAPL AND META $META ARE TEAMING UP TO RUN META'S NEW AI MODEL ON MACS Developers can run Meta's…(opens the original post in a new tab)
68. 02:02
    X@GroqLLC· Discussion

    Muse Spark Open from @AIatMeta is now in limited preview on GroqCloud, running at 350+ tokens/sec per user. Meta traine…(opens the original post in a new tab)
69. 02:02
    X@OpenRouter· Discussion

    Muse Spark Open from @AIatMeta is now available on OpenRouter! - strongest open-weight model from a US lab - built for…(opens the original post in a new tab)
70. 02:01
    X@BrianRoemmele· Discussion

    WOW! IT’S ALL OVER DARIO. THE US OPEN SOURCE YOU FEARED IS HERE! I have been testing Muse Spark Open, a US open-weig…(opens the original post in a new tab)
71. 02:00
    RedditReddit r/LocalLLaMA· Discussion

    Muse Spark Open - a meta-models Collection(opens the original post in a new tab)
72. 01:57
    X@PyTorch· Discussion

    Today, @Meta is open sourcing the weights for Muse Spark Open, the most capable US open-weights model to date. It’s in…(opens the original post in a new tab)
73. 01:53
    X@MiddleSugar7000· Discussion

    Meta dropped Muse Spark Open. • 1M context • Built for coding and agentic workflows • Actually understands a full code…(opens the original post in a new tab)
74. 01:50
    X@Cointelegraph· Discussion

    ⚡ NEW: Apple and Meta are teaming up to let developers run Meta’s Muse Spark Open AI model locally on high-end Macs.(opens the original post in a new tab)
75. 01:50
    X@inteldevs· Discussion

    Hosting an 816B-parameter model on air-cooled hardware? Intel delivers Day 0 support for @Meta's Muse Spark Open usin…(opens the original post in a new tab)
76. 01:49
    X@NGLSHMUELI· Discussion

    $META launches Muse Spark Open — a 816B parameter sparse MoE model - Activates ~42B parameters per token - First advan…(opens the original post in a new tab)
77. 01:47
    Hacker NewsHacker News· Discussion

    Muse Spark Open(opens the original post in a new tab)
78. 01:29
    CNBC · Technology

    Apple and Meta partner to run Muse AI model on Mac

    Apple and Meta announced a partnership allowing developers to download Meta's open-weight model Muse Spark Open and run it locally on Apple's high-end desktop machines. The model is an 816B-parameter MoE architecture that can pair 2 to 4 Mac Studio units for agentic tasks such as coding and video analysis; Meta's head of AI Alexandr Wang said this brings leading agent capabilities to the Apple M5 Ultra Mac Studio desktop for the first time. The required Mac Studio with the M5 Ultra chip and 256GB of memory starts at no less than $10,799.

1. 08:00
   Meta AI ResearchSelected

   Meta released Muse Spark Open, calling it the most capable US open-weights model to date

   Meta released the open-weights model Muse Spark Open, with 816B total parameters (42B active), a 1M-token context window, and Meta calls it the most capable US open-weights model to date. The model is natively multimodal and aimed at coding and agent tasks; Meta says it is the first of its kind to run on desktop via the MLX framework on two Apple M5 Ultra Mac Studio machines. Meta says it evaluated the model under the Meta Superintelligence Scaling Framework and that it met the framework's release threshold; detailed results are in the Muse Spark Open model card.

2. Time not given
   Hugging Face Daily Papers

   Muse Spark Open model card

   Meta Superintelligence Labs released the Muse Spark Open model card. The model is an open-weight MoE model with 816B total parameters and 42B active parameters, a 1M token context window, natively multimodal, and designed for coding and agent tasks. The model card states that this open-weight version adds safety post-training to improve resistance to abuse when used standalone without system guardrails, and recommends deploying it in AI systems with additional guardrails. Safety evaluations show the model refuses 99.2% of jailbreaks on internal benchmarks for cyber abuse, and 94.8% on the combined PolyGuard, RedCode, and CyberBench 2024 sets; on SecureBio's BioTIER refusal benchmark it refuses over 98% of harmful requests. The model is licensed under the Muse Model License; companies with annual revenue over $20 million that offer the model as a service must sign a separate agreement with Meta.

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