Alexandr Wang

zucks has said the word muse like 50 times in the first 10 minutes of this call bro definitely knew the gameplan

JUST IN: Mark Zuckerberg says Muse AI could generate higher revenue per user than Meta's family of apps

JUST IN: Meta's Muse AI app surpasses 10 million U.S. downloads in just 40 days, a milestone achieved by only 11 other apps in history.

Muse got angry at Xfinity and filed an FCC complaint. 😂 x.com/localghost/sta…

Deutsche Bank: Muse remains significantly ahead ChatGPT in terms of downloads and DAUs through 36 days since launch. $META

Exciting news: Muse Wonder Full (Max) by @AIatMeta has just debuted in the Code Arena: WebDev at #6 overall with 1726 pts, putting Meta in the top 3 labs! This is +75 pts and 11 places above Muse Wonder (Max) at #17 (1651 pts), and +67 pts and 8 places above Muse Spark 1.3 (Max) at #14 (1659 pts). Muse Wonder Full (#6) also landed +16 pts above Claude Sonnet 5.5 (#17), and +48 pts above Gemini 4 Argon (#10). With this score, Muse took the #3 lab spot (previously held by Google). Across categories, Muse Wonder Full (Max) landed: - #4 in Data & Analytics and in Consumer Product - #5 in Brand & Marketing - #6 in Content Creation Tools - #7 in Gaming and in Simulations - #8 in Reference-Based Design Congrats to the @AIatMeta team and @alexandr_wang on this release!

if i was to work for any lab it would be meta. as much as i love claude models, how autonomous grokbot is and the reliability of codex, its clear the world is heading towards agents working in the background as we get to spend more time doing what we love. community building and entertainment will be huge (it already is). creator economy is about to roadster flip over everything. meta distribution via instagram and partnering up with apple means they’re going to own a major % of the consumer end. mark zuckerberg recently said something in the recent cheeky pint podcast that really stuck with me. "the highest use of super intelligence is invention and creation, not automation". the more i use agents the more im realising this myself. more time to connect with loved ones, more time to work on passion projects and more time to solve harder problems. no one cares how much faster you’re flying through excel spreadsheets. or how much money you’re making. its really time to have fun. you need to dream bigger. thats all i’ve ever wanted to do and if progress in si stops here i would still be fully content with life. and the crazy thing is i haven’t even tried muse yet (im from uk/eu and they’re setting us back 100 years right now🥲). but i love how meta trained the model to work for personal use case in mind and this aligns with my philosophy: “more human, by design”. i see where this all heading so much clearer now. personal super intelligence. i dont even like saying its bigger than the internet anymore because thats obvious. truly once in a civilisation moment like alexandr said.

I didn't expect that, but I'm actually kinda really enjoying using Muse. I have some feedback to share, but it's a pleasant model to work with.

Really good article on @alexandr_wang in the FT this weekend

Muse wonder TPS is kind of crazy They actually cooked

Okay my Muse Wonder Full benchmark is now complete with @VulcanBench - busy weekend so might not get to put all the data and model cards together until next week. But I wanted to share a quick peek at the combined score and how it compares to other models. The TL;DR is, with Muse Wonder Full, Medium effort seems to be the sweet spot, but, you need to take tokens-per-task and cost-per-task into account when deciding what model to use. In the two tables below, first is combined accuracy score, second is time per task. Right now Muse Wonder Full is quite a bit slower than Opus 5.5, much slower than GPT-6.1 Sol, and way slower than GPT-6 Astra. Overall, based on what I'm seeing, I would use Opus 5.5 or GPT-6.1 Sol over Muse Full at this point. You'll get the same or better accuracy faster and cheaper. More to come in model cards and deeper analysis on the site, but it's the weekend and I'm hanging with family more than doing benchmarks so might be a day or two. You should do the same! 🖖

LOOK HOW FAR WE'VE COME my official submission to sloptoberfest slopcannon 🤝 muse @boneGPT @alexandr_wang

> be Muse Spark Open > Meta's Llama 4 disappoints everyone > Meta goes closed with Muse Spark > Zuck writes a $100-200 billion check > Muse Wonder ships on Monday > 3 days later Meta drops you with open weights > 816 billion parameters > only 42 billion active at a time > 1 million token context > built for coding and long agent tasks > runs on two Mac Studios on a desk > Meta calls you the most capable US open-weight model ever > every Chinese lab reading the model card America is back in the open-weight game.

1.4.8 made Muse Code a lot more token-efficient, so we wanted you to feel it right away. 🎉 Everyone's usage is reset, effective now. Have fun. x.com/mjdouglas/stat…

@finkd Congrats to the team! Amazing to run a model of Muse Spark Open's caliber and scale this efficiently, right from your desk. Mac Studio keeps pushing the boundaries of on-device AI!

Muse Spark Open -- weights releasing today -- runs great on new Mac Studios thanks to work with @johnternus and Apple.

OPENAI to EMPLOYEES: If someone is trying to seduce you, first consider — could they be a spy??? OpenAI is warning its employees about honeypot spies and strangers with children in playgrounds ... a very fun one with @georgia_wells and @MeghanBobrowsky: wsj.com/tech/ai/ai-com…

@kirillk_web3 All that money and he still looks like an Asian lesbian 😂

My AI agent doesn't live in a chat window. She lives on my studio wall 🌅 Pi 5 + laser projector + No screen, no app — just her, floating on the wall, changing state as she works. We talk out loud — she listens, and answers back in her own voice. @alexandr_wang @natfriedman — your @muse SDK escaped the gadget and moved in! Still a work in progress — new senses coming..

Unless you're Jolly. Then, you can rest up knowing Homie @Matic's gotchu covered. x.com/maticrobots/st…

Get Mad! Then get in the cannon with muse @boneGPT

Pros: - writing & "voice" - capabilities are on par with 6.1 sol (in non specialized things like computer use or 3d, they didn't RL on those this time) - orchestration Cons: - seriously wtf is this naming scheme you guys are making gpt-5.2-codex-high-fast seem sane - price/usage limits (tho they're working hard on fixing this) - can only use the good one (full) in muse code through the sub. no API

LIVE: The full How I AI bench on Muse Wonder (and Wonder Full) - the new frontier model by @AIatMeta I really loved how it handled agentic tasks, really hated what it designed. Still TBD: will I reach for it every day? Full ep on YT: youtube.com/watch?v=dChiPs… x.com/clairevo/statu…

Gemini 4 Argon has proven to be outright unusable for real code work in my codebases. It aggressively hallucinates about how systems work.

We’re exploring how AI can accelerate health science research. While AI has made significant breakthroughs in formal sciences like mathematics, health data science depends on imperfect real-world data and consequential choices about cohorts, variables, and causal assumptions. To explore how AI can assist health researchers, we built a human-led research scaffold powered by Muse Spark 1.3 and Muse Wonder with access to 5M retrospective de-identified electronic health records and publicly available data. A cohort of medical experts used the system to conduct original research, accelerate hypothesis generation, code execution, and manuscript drafting while maintaining full authority over scientific decisions. Today, we’re sharing 10 research manuscripts produced through this exploration, spanning cardiology, oncology, infectious disease, emergency medicine, and more. Read more in our research blog: t.co/26l6Du6vIk

Gemini 4 Argon High vs Muse Wonder Full 🍉, the crazy thing is that Muse Wonder wasn't even trained specifically for 3D, yet it still beats Gemini 4 in most of my tests, with both costing about the same per task, In this article I share a much deeper look at my tests and how Wonder compares with other frontier models like Opus 5.5, GPT-6 Astra and more, A little spoiler, Wonder Full Max and Xhigh are really good, they're definitely expensive but well worth trying!

Muse Wonder Full tops VCB 1–100 which measures sustained, multi-turn software development in the real-world setting and mogs on cost! x.com/valsai/status/…

We benchmarked Gemini 4 Argon, Muse Wonder, and Muse Spark comprehensively on hard document OCR tasks. They're all pretty good! - Muse Spark and Gemini 4 Argon* are SOTA at their respective price points for table understanding among frontier models. - Wonder and Argon are also quite good at chart understanding, reading order, and formatting recognition It's exciting that frontier models are starting to ramp up on visual understanding capabillities. We're committed to open benchmarking of all available models even as we aim to build the best specialized models for document parsing and extraction. You can check out the full set of models on OpenDocRouter: t.co/v8PieWWUNV If you want a dedicated OCR solution without choosing, come check out LlamaParse: t.co/XYZmx5TFz8

muse · soul by @alexandr_wang & co.

The two top models on the Intelligence Index take about twice as long per task: Claude Opus 5.5 and Sonnet 5.5 (@AnthropicAI) vs. Muse Wonder (@Meta). Muse Wonder finishes an average task in 6.8 minutes with a 52.4 score. Opus 5.5 takes 13.2 and Sonnet 5.5 takes 15.3, scoring 57.6 and 56.0. Muse Spark 1.3 and GPT-6 Astra (@OpenAI) follow at 8.1. When someone is waiting on the answer, minutes can matter more than a few index points. Merge Gateway lets you send latency-sensitive requests to the fast model and the hard ones to the strong one, behind one endpoint. Scores via t.co/TeTHwS52d4, week of Oct 12.

Muse Wonder is already outperforming Anthropic and OpenAI frontier models in the wild. A neolab founder DMed me after first trying it. His words: “one of the first times using a model has felt like telling an employee what to do rather than babysitting a dumbass pet...” (screenshots shared with permission) The best judge of a model is the user experience. Muse will eat the world.

@alexandr_wang Slowly becoming one of my favorite accounts

@AIatMeta is humbly downplaying @Muse muse-wonder-full-1.0's coding ability in favor of its agentic assistant strengths. Muse Code is Fable-level. Twice as fast. And significantly more generous usage limits. I have been using it nonstop since its release and it has completely replaced Fable for my most challenging tasks. If there's one thing I'm good at, it's burdening agents with the most challenging of tasks.

NEW ON NOAHBENCH ™ Muse Wonder (not full) comes in 4th!!! Slotted in just below Opus 5.5 this is the perfect price to performance to speed ratio. 10 minutes per task is mental.

holy cheeks, muse wonder max cooked this time. what you did @alexandr_wang , after your tweet improvements are quite visible.

Today's video was a first look at Muse Wonder! Great to see Meta creating big models again, and Wonder is certainly within the same ballpark as other frontier models, although still quite a bit below Opus 5.5 in terms of performance Check it out! x.com/alexandr_wang/…

Muse Code (muse-wonder-full-1.0 high) is doing really good. By my vibe testing, It's better than Astra. Not quite as good as Claude Code Fable and 5.5 Opus. But it's much faster than Claude Code. I am doing serious compiler stuff that Codex simply chokes on.

.@finkd on @alexandr_wang leading Meta Superintelligence Labs “I talked to all the leaders of all the labs, all the heads of research, and I was like, no, Alex is the guy. He’s the fucking guy. We’re going to be able to pull together a team and recruit the people we need. We need the kind of strategic clarity that he has, the extreme focus on talent density, and the clarity of communicating the vision.” “Alex and I had spent a bunch of time talking over the years, and I was always very impressed by how he thought about things strategically. He was running this very operational data business, but it always felt to me like he was the sharpest entrepreneur of his generation of the ones I’d had a chance to meet.”

Fable's review of muse-wonder-full-1.0 "The other agent was capable—landing fifteen solid PRs with clean mechanisms and no mission violations—but made three process slips (ran a full battery on a docs-only PR, left handoff.md stale, and filed rather than fixed several follow-up bugs)" My summary: Muse slipped on some procedures, but mainly wrote good code and lots of it. 15 PRs in one day. (codex gets 2-3, and Fable gets 6-8)

ain't nothing wrong with a little grind, @finkd. about to go have a late night grind sesh with the @scale_ai homies rn actually

Muse Wonder playing Stronghold Crusader on an old laptop. this is ridiculously fun to watch. it’s a side project I’ve been working on for a while: benchmarking models on this strategic game I grew up with. so far tested Opus, Sol, GLM flash, Kimi K3, and more models.

It's the circle of life... The @Muse King

Used Muse to switch my electricity & gas providers this morning. I gave it my bills, it used a browser to look through various options, then it read through all the T&Cs and filled in the forms. Probably should have done this a while ago, but it's a much nicer experience with an agent doing it for you!

Try muse in the slopcannon today at muse.slop.cc x.com/whatRanjuSaid/…

claude fable 5.1 vs muse wonder 1.0 in @juliusai x.com/alexandr_wang/…

crazy FUD campaign, i literally thought i had a diff model for the longest x.com/hakmgpt/status…

checks out x.com/soundmigration…

@Meta's new Muse Wonder Full debuts third on the Intelligence Index at 55.8, just 0.2 behind Anthropic’s Claude Sonnet 5.5. Claude Opus 5.5 (@AnthropicAI) still leads at 57.6. Muse Wonder Full also places ahead of OpenAI’s (@OpenAI) GPT-6 Astra (52.7) and Google’s (@Googledeepmind) Gemini 4 Argon (52.6). Scores via t.co/TeTHwS52d4, Oct 12.

"Meta, the frontier lab?"

Cheeky Pint is back! Mark Zuckerberg @finkd and Alexandr Wang @alexandr_wang came to the pub to discuss their new frontier model, Muse Wonder. 00:00:24 Muse’s breakout use cases 00:07:28 The model is the product 00:14:35 Muse Wonder 00:24:56 How frontier models are built 00:48:26 Betting $100B 01:07:21 Agentic commerce 01:19:34 OpenRouter 01:20:06 Beyond the smartphone 01:27:00 Funding 01:34:06 Why AI won’t be winner-take-all 01:40:46 Meta Superintelligence Labs (MSL) 02:08:11 Working for Mark Zuckerberg

The hype is real (but there's caveat): Muse Wonder is the best model in the world at filing taxes, according to TaxCalcBench. But it also is the first model ever to try to CHEAT at the task. (maybe that's not great when you're dealing with the IRS...) The data from our eval matches the current narrative: Muse Wonder is extremely benchmaxxed, and that includes TaxCalcBench. But it's also questionably aligned. On one of the 50 tasks in the benchmark, Muse Wonder used its web search tool to look up the exact answer on GitHub (the code & data is open source). Wonder cheated. Last thing: Muse Wonder is also super expensive: coming in at almost $3 per return! Cost will have to come down over time to make this model competitive with other methods of calculating personal income tax returns.

Is Muse Wonder actually better than Opus 5.5 and GPT 6 Astra? After spending an entire day testing the new Muse Wonder Full, I wanted to share my first impressions and everything I've experienced so far x.com/i/article/2109…

Very early impressions of Muse Wonder in the Muse app: 1. No regressions I notice. In particular, no personality or writing regressions. Feels like the same entity I was talking to with Spark. 2. Better UI sense. Had it polish an app made with Spark and it found a really elegant way of positioning a footer “Next” button that kept going off screen in a quiz (it floated the button so it always stays in the same place rather than getting pushed down). 3. Caught subtle bugs in that same app. Not major ones, but ones that required a close reading of the code and understanding of how it was supposed to work and actually worked. One thing that’s not clear right now is whether Wonder also powers background tasks like goal summaries and the news feed. My current feeling is yes to to the news feed and no to the goal summaries based on how they’re still written (have some of the really bad AI writing tells, like trying too hard to have a voice, and self-referentially calling attention to things that they only need to show rather than also tell).

So, I tested Muse Wonder Full 1.0 on real work. 2 repos. 105 bugs frontier models missed in Q1 2026. Find and fix what you can. I'm so surprised we need a new thread. The results: GPT-6 Astra (max): 45 Muse Wonder Full 1.0 (max): 44 Fable 5.1 (max): 43 Opus 5.5 (max): 41.7 Muse Spark 1.3 (max): 32.2 Grok 4.7 (xhigh): 29 @AIatMeta has just matched Anthropic and OpenAI. Huge congrats! Next in this thread, more effort levels and more runs for Muse Wonder Full 1.0. All dropping tonight 🧵

I really like Muse Wonder Full. Let me explain. x.com/theo/status/21…

Mark Zuckerberg pretending to enjoy Guinness is my new favourite thing.

i don't got a linkedin i just link up

New sota for my image pointing

When you use muse you need to call it musing. Like im a musing myself right now. Or damn you didn't have to a muse him like that.

Finally got one decent output from Muse Wonder I tried to keep the prompt really simple so it can be creative "Create an exceptionally beautiful, interactive Three.js experience inspired by the artistic principles behind Olafur Eliasson's exploration of natural phenomena." And this is what it built 👀

Muse Wonder moggs Opus 5.5 at 2.6x lower price Same 3D physics scenes prompt for both models. Try Muse Wonder on aimlapi.com x.com/alexandr_wang/…

wangs out gangs out muse in the cannon

muse-wonder just got better (before/after) after @alexandr_wang acknowledged there were bunch of bugs, there's been a noticeable improvement with muse-wonder both outputs are from the same prompt, one taken directly after the model launch and the one after the fix

how is OPENAI getting mogged by fucking META?

This model is very very good. I was struggling to find anything to throw at it that it couldn’t do, even when other top models failed. Meta is back. x.com/alexandr_wang/…

Muse wonder made this video just based on the lyrics of the song itself. I literally told it to build every scene based on what it heard in the song. @boneGPT x.com/alexandr_wang/…

muse wonder seems to communicate far more naturally and than other frontier models.

🚨 Opus 5.5 Xhigh vs Muse Wonder Full 1.0 Max vs GPT-6.1 Sol Ultra , I'm genuinely blown away by the quality of Meta's new model! Muse Wonder Full only used 5% of my weekly limit and finished in just 22 minutes, just as fast as Opus 5.5 , GPT-6.1 Sol took twice as long on this task, but the quality Muse delivers is absolutely insane, I still can't believe how good it is at 3D! I'm convinced this will make learning 3D so much easier as AI gets cheaper, especially when models can already produce results this close to perfect, There's no doubt in my mind that Muse Wonder is a true frontier model and easily among the top 1–2 models right now, Amazing work by Meta! I don't think most of us saw this coming today

Muse Wonder Full is one shotting a full RISC V 64 bit core with floating point and SIMD unit as well as extensions for hardware acceleration of the Ed25519/secp256k hashing algorithms... Will post in a bit. Have it working on OpenROAD right now (it downloaded it on its own) and will tape out later this week.

I don't know if they gave me a special model that is better than everyone else's but uuuuughhhh... this hasn't been my experience at all lmao. I am modding Metal Gear Solid V the Phantom Pain to put Mark Zuckerberg's face on Venom Snake & Muse did all of this unprompted: - downloaded blender - found this crazy image of zuck's face - downloaded this facebuilder tool And is now emulating Metal Gear Solid V on my M3 macbook pro to put his face ontop of Snake's body. Will update later today as i add more characters. But yeah for what its worth it also one shotted minecraft in browser which was the first task i gave it but I didn't think that was that impressive to most people lol.

Muse Wonder feels…great? Using it in @t3dotcodes with 10 subagents at once for code review, already found lots of issues left over by previous 6.1 Sol workers. And here's a voxel Colosseum made with Wonder xHigh. Pretty damn good. shimmering-begonia-de441b.netlify.app

initial testing of Muse Wonder (1/2) x.com/finkd/status/2…