Meta releases Muse Glimmer, an open-weight model, and plans to launch an open-weight version of its most advanced model, Muse Spark 1.2, in the coming weeks

Mark Zuckerberg has a new game plan for winning over hearts and minds to his company's artificial-intelligence efforts: open models and an open hand.

Wall Street Journal 2026-08-10 Meghan Bobrowsky

Context & Ripple Effects

Meta had already put Muse Spark into Meta AI queries and its shopping mode while signaling a future open-source release; that earlier release plan linked product deployment to external distribution. In July, Meta also introduced a Model API at pricing it said was about a quarter of OpenAI’s and Anthropic’s models, creating a second route to market alongside downloadable weights. The low-priced API launch makes the new open-weight releases part of a broader access strategy rather than a one-off model publication.

First-order effects

Developers can now run and adapt Muse Glimmer as open weights, while Meta gives them a near-term path to an open-weight version of Muse Spark 1.2.
Meta expands access to its Muse family beyond Meta AI’s own product surfaces and its hosted API, increasing the number of ways builders can adopt its models.

Second-order effects

Meta’s Model API must compete on managed-service value and price with the open-weight option, rather than relying solely on controlled access to Muse models.
Open-weight availability gives developers a practical alternative to API-only model providers, sharpening the distribution contrast with the OpenAI and Anthropic pricing benchmark Meta invoked at its API launch.

Third-order effects

If Meta continues pairing portable weights with hosted access and product integrations, frontier-model competition will increasingly turn on how providers monetize surrounding services rather than on exclusive control of model access.
The pattern points to an open-weight commercialization model in which broad developer adoption can support Meta AI product reach and API usage at the same time.

The trend: Meta is using open weights, low-cost APIs, and in-product deployment as complementary channels for distributing its Muse models.

Discussion

@alexandr_wang Alexandr Wang on x
1/ big announcement today: we will be releasing an open weight version of muse spark 1.2 soon. we also are releasing muse glimmer, a 30B agentic model with open weights under apache 2.0. muse glimmer can run on 24GB of VRAM without losing agentic reliability. 🧵
@teortaxestex @teortaxestex on x
OK that's a pretty damn big flex. Glimmer seems amazing, but Spark 1.2 will let us finally see how advanced Meta's research program really is. What's your idea of what it's like? [image]
@ns123abc Nik on x
🚨 BREAKING: META superintelligence labs is open-sourcing the Muse models > Muse Glimmer: 30B dense, weights OPEN NOW on Hugging Face > runs locally on 24GB VRAM > Muse Spark 1.2: weights coming “soon” The Zucc is BACK [image]
@jun_song Jun Song on x
New 30B small model from Meta Also Muse Spark 1.2 will be released too. Local AI era is here.
@kimmonismus @kimmonismus on x
Huge: Meta says it will resume releasing open-source AI models “soon” as part of a much larger plan: delivering personal superintelligence to billions of people! Zuckerberg commits to free or affordable access, personal agents with a private mode even Meta cannot inspect, and [im…
@unslothai @unslothai on x
Meta releases Muse Glimmer, a new 30B open model that runs on 18GB RAM. Muse Glimmer is Apache 2.0 licensed, supports vision and is the strongest agentic model for its size. Run and train the model via Unsloth. GGUF: https://huggingface.co/... Guide: https://unsloth.ai/... [image…
@scaling01 @scaling01 on x
“Soon we'll also release the weights for Muse Spark 1.2” Nice
@davidondrej1 David Ondrej on x
Zuck is going open-source again!!
@iamemily2050 Emily on x
What a beautiful day, people will talk about it for a long time.
@tmychow Trevor on x
personal superintelligence is superintelligence for every person
@junliwang2021 Junli Wang on x
Can we name it Llama5🥹
@aiatmeta @aiatmeta on x
Muse Glimmer can complete multi-step agentic tasks end-to-end from a single natural language prompt. In this demo, it autonomously discovers a local Home Assistant instance via network tool calls, queries device APIs, writes a responsive HTML/CSS/JS dashboard from scratch, and [v…
@aiatmeta @aiatmeta on x
For a local agent to be practical, generation latency must be low enough to maintain workflow continuity. To run Muse Glimmer on consumer hardware without degrading quality, we used quantization to shrink the language model to under 20GB and a lightweight DFlash drafter model to …
@aiatmeta @aiatmeta on x
Introducing Muse Glimmer, an open-weight 30B-parameter model optimized for local, always-on agent workflows. Muse Glimmer delivers strong performance on key agentic use cases and benchmarks compared with leading models in its size category, and is designed to run entirely on [ima…
@jehangeer_hasan Jehangeer H on x
Open weights + real planning/tool use under 20GB? Muse Glimmer just made serious local agents accessible to everyone. #meta
@alexandr_wang Alexandr Wang on x
3/ muse glimmer was developed with its own architecture and recipe, optimized for its size and agentic performance requirements. [image]
@alexandr_wang Alexandr Wang on x
2/ just like much larger models, muse glimmer can operate as a fully capable agent via planning, tool calls, checking its own results, and failure recovery. [video]
@alexandr_wang Alexandr Wang on x
excited to be releasing open weights for muse glimmer today, a 30b model that runs on a single consumer gpu, with open weights for a version of muse spark 1.2 coming soon. two very different models, both headed into people's hands, with more to come.
@finkd Mark Zuckerberg on x
Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats
@lutherlowe Luther Lowe on x
The message is compelling; the messenger has a credibility problem. Zuckerberg argues that AI safety requires preventing powerful institutions from deciding which intelligence individuals can access. Yet this year Meta used its control of WhatsApp to exclude competing AI
@soundboy Ian Hogarth on x
This is the most carefully considered piece I've seen from Zuckerberg on navigating more powerful AI systems - worth reading and a constructive update: https://www.meta.com/...
@shakeelhashim Shakeel on x
Couple of policy proposals in here: [image]
@amank1412 Aman on x
meta is back! [image]
@dinapowellmcc Dina Powell McCormick on x
In his latest piece, Mark shares his vision on how to build a future for everyone. https://www.meta.com/...
@kunalgoel Kunal G on x
A little note from my agent on Zuck's take - GRASS — clearest beneficiary, and the least contested. The section on open-source competitiveness argues US labs are handicapped by training-data restrictions and that policy should reduce that friction, plus an explicit defense of
@wojkuli Woj Kulikowski on x
Everyone should have access to superintelligence
@dr_singularity Dr Singularity on x
Everyone gets a superintelligence. Think about what that does to science, business, education, and invention.
@metanewsroom @metanewsroom on x
Mark Zuckerberg just shared a long-form piece about Meta's philosophy and values for building a positive AI future where everyone has access to superintelligence. https://about.fb.com/...
@francisbrennan Francis Brennan on x
“We call these local benefits our community compact, and we are launching a Future Is For Everyone Fund to support each community we work in directly.” https://www.meta.com/...
@sriramk Sriram Krishnan on x
Great piece from @finkd - especially the theme of AI being something that is personally empowering.
@adamlowisz Adam Lowisz X Meetup on x
Mark, I believe everyone should have access to not just super intelligence but also to their voice. You banned my Facebook Trump page with over 115,000 followers after the 2020 election for stating that Kyle Rittenhouse will be found not guilty and for stating that ISIS found
@alexandr_wang Alexandr Wang on x
personal superintelligence should be available to everyone, and opening access to our models is abig part of that. read more from mark: https://meta.com/...
@marioprezidente Mario Presidente on x
Zucc just wrote a whole article about ai He mentioned how we will all have ABUNDANCE https://www.meta.com/...
@finkd Mark Zuckerberg on x
I believe everyone should have access to superintelligence, and I wrote a long piece about Meta's philosophy and values for building a positive future for everyone. https://meta.com/...
@andymstone Andy Stone on x
Don't sleep on Meta releasing a leading American open source model.
@clementdelangue Clem on x
Meta is back! well done @finkd @alexandr_wang! [image]
@kimmonismus @kimmonismus on x
Super strong evals for a 30b model: [image]
@lmstudio @lmstudio on x
Muse Glimmer 30B is a new open source model from Meta. Apache 2.0 license. Capable of local agentic work, code, and image understanding. Fits right on your laptop. It is the strongest model of its size class we've tested. Available now in LM Studio! 🚀🔥 [image]
@amd @amd on x
Build with Meta's new open-weight model on AMD. AMD is enabling day-zero support for Muse Glimmer, the new open-weight model from Meta Superintelligence Labs on AMD Ryzen™ AI Max+ systems and Radeon™ AI PRO R9700 GPUs. With @lmstudio making local AI accessible and Lemonade [image…
@kimmonismus @kimmonismus on x
LFG: Meta's Muse Glimmer is a remarkably capable model for its size: 30B parameters, local deployment, and the best reported result on 12 of 24 benchmark rows against Gemma4-31B and Qwen3.6-27B. By my count, it beats Gemma on 19 of 24 rows and Qwen on 14. Its strongest area is [i…
@theahmadosman Ahmad on x
New opensource model from Meta Muse Glimmer 30B Apache-2.0 [image]
@himanshustwts Himanshu on x
Muse Glimmer - the new open-source 30B model from Meta is pre-trained on the outputs of Muse Spark using logit distillation. Also, its performs best for its class size (when compared to Gemma4-31B / Qwen3.6-27B) [image]
@lmsysorg @lmsysorg on x
@AIatMeta's Muse Glimmer (30B dense, open-weights) launches with SGLang day-0 support. We got ~230 tok/s on a single RTX 5090, with NVFP4 + DFlash on. It also works out of the box on @NVIDIAAIDev RTX Pro 6000, DGX Spark, and MLX for Mac. Speed and reliability have always been [vi…
@metafordevs @metafordevs on x
Meet Muse Glimmer: an open-weight model built for always-on local agents. 30B parameters, Apache 2.0 and tuned for complex multi-step work so it plans, calls tools, hits errors, retries, and sees the task through long-horizon loops. Muse Glimmer is designed to balance [image]
@sriramk Sriram Krishnan on x
great to see meta back launching open weight models. congratulations to @alexandr_wang and the msl team.
@ylecun Yann LeCun on x
@finkd Good move. Bravo 👏👏👏
@xfreeze @xfreeze on x
Huge respect to Zuck and the Meta team for continuing to push open source forward Amazing work 👏
@rihardjarc Rihard Jarc on x
Means $META new bigger frontier Watermelon model is coming soon if they are willing to release Muse Spark 1.2 weights soon. The market is not yet pricing in $META becoming a serious AI model lab.
@metacurity.com Cynthia Brumfield on bluesky
No one should be forced to read anything written by Mark Zuckerberg, much less a 6,500-word essay. [embedded post]
@hypervisible.blacksky.app @hypervisible.blacksky.app on bluesky
I tried to read it, but one of the first tenets is promising everyone a magic being that will grant all their wishes.
@shakeelhashim Shakeel on x
Agreed, this is much more thoughtful than previous essays from Zuck/Meta. I still don't entirely agree, but a positive update for sure.
@rand_longevity Rand on x
I agree mark, super-intelligence should be decentralized this is the way
@haider1 Haider on x
INCREDIBLE roadmap from Meta on the future of AI TL;DR: - expects superintelligence to emerge within the next few years - personal superintelligence for everyone, which focuses more on invention than automation - Meta is doubling down on open-source AI and rejects one universal […
@mil000 Milo Smith on x
even baby hitler ?
@tekbog @tekbog on x
ok i had no idea he was like this [image]
@logandobson Logan Dobson on x
So much good stuff in here, particularly around the importance of America leading the global AI race; all of it stemming from having a fundamentally optimistic view of AI and how it will empower people. [image]
@eliebakouch Elie on x
@alexandr_wang huge congrats to the team, would also love to see a tech report, the training details are a bit light 🥺
@cryptopunk7213 @cryptopunk7213 on x
got to hand it to them - meta's really turned things around recently - counted them out of open source, proved wrong - didn't think they'd catch up in model intelligence, still true but muse spark series is the cheapest workhorse - didn't think they'd be competitive on compute
@emollick Ethan Mollick on x
Spark is the big news and is a good model. Not quite at the frontier of open models from China, and still well behind the closed frontier, but the best non-Chinese open weights model released in a year. Of course, a lot depends on continuing to release new open models to keep up
@ollama @ollama on x
Muse Glimmer is now available to run with Ollama. Available today via Ollama's MLX engine with state-of-the-art-performance on Apple Silicon, Muse Glimmer can power Claude Code, Codex, and more always-on local agent workflows natively using Ollama. Additional support and
@mehulmpt Mehul Mohan on x
Huge. I wonder if the 3rd party inference deployment cost of Muse Spark 1.2 would be same/cheaper than what meta was offering, which was cheaper than DeepSeek v4 flash!
@ramintahbaz Ramin Tahbaz on x
🇺🇸
@keennay Yannick Monye on x
Godbless you Qwen & DeepSeek, otherwise these companies would've had zero incentive to continue releasing their model weights
@nrehiew_ @nrehiew_ on x
Llama 5 basically. Super excited
@mark_k Mark Kretschmann on x
Meta has just open-sourced a 30B model named Muse Glimmer. It can be run locally on modest hardware! Banger move by @AIatMeta 🔥
@xeophon Florian Brand on x
Apache 2.0 🥹 first Gemma, now Meta we are so back [image]
Anton Protopopov Anton Protopopov on linkedin
Excited to share Muse Glimmer - an open-weight agentic model tailored for local setup with a single GPU. — It was quite a journey and I'm glad to be part of the team behind the model. …
@timkellogg.me Mr. Tim on bluesky
Muse Shimmer 30B — very cool that they're launching it with speculative decoding instead of butchering the core model with MoE — research.meta.ai/blog/introdu... [image]
@buccocapital @buccocapital on x
Zuckerberg (AI loser) joining the growing list of people suggesting frontier labs should be forced by USG to allow distillation [image]
@digiphile Alexander B. Howard on x
Make time for this essay. Whatever your views are on @meta, @facebook, & AI, @finkd has contributed meaningfully in this essay to the global conversation on how “superintelligence” provided by machine learning should be developed, accessed, improved, & governed. And unlike most […
@joshsternberg.com Josh Sternberg on bluesky
At no point during this meandering “manifesto” does Zuckerberg answer, let alone ask, “Why should this power be anointed by corporations/wealthiest people on earth”? — For a guy who has said, “we have to earn your trust” every year for the last 20yrs, this is quite rich. about.…
@roopikarisam Roopika Risam on bluesky
Between the FB Bond villain's essay on the future of AI and the OpenAI piece on task crossover (linked below), it's clear they see deprofessionalization as a good thing. Of course they do: devalue knowledge and labor, then profit. Superyachts don't pay for themselves. about.fb.…
@daniloc.xyz @daniloc.xyz on bluesky
how about Zuckerberg goes even one quarter without stepping on a rake re: his own AI initiatives, then we'll entertain his opinions on the space [embedded post]
@jsrailton John Scott-Railton on x
Good move. We desperately need powerful open-weight models that don't come preloaded with a Chinese censorship poison chalice... Or hard-to-answer worries about national security risks.
@nvidiaai @nvidiaai on x
Great to see @AIatMeta back publishing open models 🙌 Muse Glimmer is a 30B open-weight dense model with a 120K+ context window, built for long-running agents, delivering up to 20K tokens/sec on a single GPU. It's optimized to run locally across NVIDIA edge, desktop, and
@levie Aaron Levie on x
Meta releasing Muse Spark 1.2 as open weights is a *very* big deal. America now finally has its response to the open weights AI race. This will continue to help drive down the cost of intelligence, it allows companies to run models as they see fit, as well as allows them to [imag…
@jack_w_rae Jack Rae on x
As Mark and Alex shared, we'll be open-sourcing Muse Spark 1.2 shortly — a stronger sparse model optimized for enterprise hardware!
@jack_w_rae Jack Rae on x
My expectation is that we'll continue to pack an increasing amount of intelligence into models that run on consumer hardware. But the hybrid setup — a larger cloud model for “executive intelligence” + a smaller local model for privacy/latency-sensitive tasks — is very appealing.
@jack_w_rae Jack Rae on x
Muse Glimmer is open source today! 30B dense model trained for agentic use cases. Strong on-device models are becoming more and more valuable. This use case is usually memory-constrained and emphasizes low batch sizes and low latency. It's a great fit for dense architectures. [im…
@jack_w_rae Jack Rae on x
Fun demo with Muse Glimmer: ask the model to deploy itself to the HuggingFace inference endpoint and optimize the inference efficiency
@meer_aiit Meer on x
Meta is so back on open models. Alexandr Wang and co now showing up !! they just released Muse Glimmer, a 30-billion-parameter open-weights AI model built to run agent workflows locally on your personal computer. msl said the model is available now on Hugging Face under a [image]
@nrehiew_ @nrehiew_ on x
Muse Glimmer was trained directly logit distilled from Muse Spark. This means that there isn't a traditional ‘base model’ in that it was trained from the start on agentic traces. Super cool and haven't seen this approach in a while Welcome back GPT OSS [image]
@vllm_project @vllm_project on x
@Meta is back in open source. Excited to announce Day-0 vLLM support for Muse Glimmer 30B, the first open-weights model from Meta Superintelligence Labs — which ships under Apache 2.0!!! 30B dense, 128K+ context, multimodal, built for local agents. Capable enough for
@hadas_gold Hadas Gold on x
A lot of ppl were disappointed when meta seemingly left open weight models behind, interesting step by them
@zaidmukaddam Zaid on x
Meta gave Muse it's Llama movement! So happy to see them back like this!
@xeophon Florian Brand on x
dropping such a banger model mere hours (or 1-2 days) before qwen3.8 is such a funny move
@chetaslua @chetaslua on x
Holy meta is back smoked gemma and qwen 🤯 [image]
Evgenia Rodionova Evgenia Rodionova on linkedin
Today, Meta published its manifesto, The Future Is for Everyone. One of Mark Zuckerberg's central arguments is that companies will become smaller while their impact grows. …
Jakob Steinschaden Jakob Steinschaden on linkedin
It's pretty rare that I find myself agreeing with Mark Zuckerberg, but today is one of those days. — The Meta CEO is currently making the case for why distilling AI models should be legal. …
Nicola Mendelsohn CBE Nicola Mendelsohn CBE on linkedin
The defining question of our age isn't whether we build superintelligence, but who gets to use it. — Mark has written something genuinely thoughtful …
@alexolegimas Alex Imas on x
I really like a lot of this essay. But there seems to be a significant disconnect between the idea that more intelligence should be empowering to people (which I agree) and that it will be possible to have this empowerment with superintelligence. I firmly believe in empowerment
@natolambert Nathan Lambert on x
Really glad to have @finkd back pushing for team open — he's one of the best to ever do it. 🫡 [image]
@leomschwartz Leo Schwartz on x
Mark Zuckerberg lightly pushing back against the Trump administration's voluntary AI framework approach by arguing that model releases shouldn't be delayed by government review for even 30 days https://www.meta.com/... [image]
@jamestitcomb James Titcomb on x
Hard to see any problems with the “AI will defeat bioterrorism by developing new vaccines that everyone will take” argument [image]
@iterintellectus Vittorio on x
“everyone should have access to superintelligence” [image]
@thestalwart Joe Weisenthal on x
Legit observation IMO [image]
@joel_kaplan Joel Kaplan on x
Important piece by Mark on personal superintelligence and how we make sure the future is for everyone. Read more about it here: https://www.meta.com/...
@ian8ach Ian Bach on x
ah shit I agree with zuck [image]
@asklumo @asklumo on x
“a fully private mode where even Meta cannot see your information” You removed encrypted messaging from Instagram three months ago.
@ns123abc Nik on x
can we all agree zucc is the hero of open source AI [image]
@quxiaoyin Xiaoyin Qu on x
Meta stocks will do so well. They have lots of chips and lots of users.
@andymstone Andy Stone on x
As @andrewrsorkin notes, Meta to launch a $1B Future Is For Everyone Fund “aimed at investing in communities...it will be focused, from what I understand, on policemen and firemen and members of these communities.” Read more here: https://www.meta.com/... [image]
@dan_jeffries1 Daniel Jeffries on x
The future is for everyone. Personal superintelligence. You either believe in freedom and agency or you believe a few wise old men in the central Soviet can protect you from yourself. We are not the same. https://www.meta.com/...
@janerosenzweig Jane Rosenzweig on bluesky
This is an extraordinary document in a number of ways but one of those is the many words that are used to write in such an unclear way. about.fb.com/news/2026/08... [embedded post]
r/singularity r on reddit
It's Mark vs Dario
@zackkorman Zack Korman on x
It's entirely possible to care about AI safety and still oppose Anthropic's “all the AI for me, none for thee” plan. Mark Zuckerberg firing shots at Dario. [image]
@altryne Alex Volkov on x
Say bye bye to LLama's and hello to the Muses of open source AI! LLama's changed the open weights AI world a few years ago, incredible to see Meta re-enforcing Open Weights! Kudos @alexandr_wang @finkd and the MSL team for this 👏
@petergostev Peter Gostev on x
Interesting that Meta is open sourcing the Spark weights. It looks like they changed the strategy recently, as I don't remember them talking about it before this comment from Mark on 5th August. And since it would have been a big PR win if Spark was open at the outset, I guess
@jsrailton John Scott-Railton on x
UPDATE: sounds like @Meta will offer confidential, private inference for an AI agent. Zuck @finkd just said they'd offer inference" similar" to Private processing @WhatsApp offers. Little-known-fact:" WhatsApp is running the largest private AI inference I know of. Private [image]
@paddix Paddy Srinivasan on x
Great to see @Meta recommit to open weights with Muse Glimmer. We @digitalocean are eagerly awaiting Muse Spark 1.2 Open Weights!! At 57 on the Artificial Analysis Intelligence Index, open weights for @AIatMeta Spark would put near-frontier intelligence into builders' hands and […
Armand Ruiz Armand Ruiz on linkedin
Open Source 🇺🇲 Today we release 30B open-weights Muse Glimmer, runnable on a single consumer GPU! Muse Spark 1.2 open weights are coming soon. …
@supbagholder @supbagholder on x
Releasing the weights for Muse Spark 1.2 is all you need to know about how Watermelon is going to perform. [image]
@matvelloso Mat Velloso on x
Meta's new open weights model seems to be beating Gemma on nearly every metric
@kevinsxu Kevin S. Xu on x
Very much agree with this approach of reducing AI's bio/chemical risks Restricting models and their outputs is both the wrong lever to pull and impractical/unenforceable Restricting the physical materials is both more sensible and practically doable [image]
@kevinsxu Kevin S. Xu on x
The new AI comms strategy: long form essays
@opensauceai Ben Brooks on x
@finkd on the distillation panic [image]
@deryatr_ Derya Unutmaz on x
American 🇺🇸 open-source AI is back! @Meta is releasing Muse Spark 1.2 soon and a 30B agentic model called Muse Glimmer. Kudos to Meta team! More American open-source models will be released... It's important to remember that open-source and collaborative hacker culture was
@nathanleamerdc Nathan Leamer on x
Credit where credit is due. @finkd is a Founder demonstrating a positive vision for AI. Unlike many of his peers, he is not advocating for control by a few but articulates a worldview that allows for many to use this innovation for problem solving and flourishing. [image]
@_nathancalvin Nathan Calvin on x
Zuckerberg sharing some new thoughts on RSI and super intelligence including that “it is not clear there is any way to expect benevolence” from Superintelligence, and strongly implies investing too much compute in RSI instead of external inference could be destabilizing [image]
@tedunderwood.com Ted Underwood on bluesky
I don't assume Zuck is sincere. However, this is the promise I want companies to compete on. Sharing knowledge—selfishly, purely for the sake of good PR—has a better track record than protecting people from dangerous knowledge in a noble and heartfelt way.
@miniver @miniver on bluesky
Zuck's ASI manifesto is dumb in a way that makes me sad. — It blathers that soon computers will do all of the things that nerd optimists in 1985 dreamed they might do, making it possible for everyone to be entrepreneurs as described in “tech” industry booster literature.
@liedra.net Prof. Catherine Flick on bluesky
Oh my, and now today Zuckerberg comes out with this www.meta.com/thefutureisf... What you don't see is the fine print - for everyone who signs up to our services and gives us all their data and buys all our shitty products. Oh, and make sure you invest in our data centres and l…
@convergingriskslab Caroline Baxter on bluesky
“Historically, hoping that an absolute power will benevolently provide for humanity if sufficiently enlightened has not led to safe or positive outcomes.” — Says the company selling spy glasses. — www.meta.com/thefutureisf...
r/BetterOffline r on reddit
Zuck releases manifesto on the imminent singularity [which isn't a thing.] AI psychosis has rotted the minds of these guys …
@dinapowellmcc Dina Powell McCormick on x
.@andrewrsorkin: Meta “announcing a $1 billion fund aimed at investing in communities close to where the company operates data centers... The Future is for Everyone Fund will be focused, from what I understand, on policemen and firemen and members of these communities.” [video]
@yuchenj_uw Yuchen Jin on x
That Llama is back! Exciting to see Meta is back in open-source AI. @finkd: “Open source is a positive and important force for empowering people and preventing centralization that is detrimental for both safety and the economy.” Hope more frontier labs like Anthropic and OpenAI
@kylehessling1 Kyle Hessling on x
First impressions on Muse Glimmer! It's incredibly fast for a dense model, currently running an average of 208tps with a max of 274tps on a single 5090 with their DFLASH config. Comparatively, though, both using Open Code, Qwopus Coder (with thinking off) produced a much [video]
@nxthompson @nxthompson on x
This, from Zuckerberg's essay, seems like an incomplete explanation of why Chinese open-source models have come to dominate American ones. [image]
r/Anticonsumption r on reddit
Mark Zuckerberg Posts Deranged 6,500-Word Essay About Giving Everyone AI Superintelligence
r/anticapitalism r on reddit
Mark Zuckerberg Posts Deranged 6,500-Word Essay About Giving Everyone AI Superintelligence
@nvidiarobotics @nvidiarobotics on x
Congrats to @AIatMeta on Muse Glimmer, a 30B dense model for local AI agents, now supported on NVIDIA Jetson. 🎉 Muse Glimmer delivers up to 25 tokens/s on Jetson Orin and up to 36 tokens/s on Jetson Thor. Try it for yourself with our Jetson AI Lab tutorial 👉
@modestproposal1 @modestproposal1 on x
Meta's ability to stay close to the frontier and willingness to release open weights is more important to the competitive evolution of profit pools and market structure than Gemini potentially falling off the frontier
@chetanp Chetan Puttagunta on x
Incredible move by Meta. It will be interesting to see which open source license they use for Spark 1.2. There are now many clear paths to monetize open weights should Meta choose to.
r/technology r on reddit
Mark Zuckerberg Lays Out New AI Vision in 6,500-Word Essay
@stanfordnyc Bernard Stanford on x
Volumes have been written to answer this exact question! It is in fact quite easy to see how someone who thinks doom is likely would decide that they may as well get high pay and a feeling of relevance in the meantime. *Someone* will build it, after all; it may as well be them. […
@supbagholder @supbagholder on x
If $MSFT, $GOOGL, or $AMZN had announced Meta's last 2 weeks of AI news, Muse Code, open-weight Muse Glimmer, and plans to open-weight Muse Spark 1.2, the stock would've ripped 10-15%. Meta is shipping far faster than anyone else right now. It's such a hated stock.
@jakehalloran1 Jake Halloran on x
zuck still has not *completely* given up so thats something [image]
@karpathy Andrej Karpathy on x
@jack_w_rae It's going to feel so weird that historically you couldn't just talk to your computer like you'd talk to any other person
@dryangsong Yang Song on x
I'm personally very excited to see us take this step. I've long believed that the power of AGI should be broadly distributed, and this is the first of many moves at MSL toward making superintelligence accessible to everyone.
@andrewyng Andrew Ng on x
Thank you Mark, Alex and the whole Meta team for your contributions to open weight AI.
@giffmana Lucas Beyer on x
Aura +1000
@eliebakouch Elie on x
extremely exciting to see meta getting back into open weight models with a 30B dense first, and soon muse spark 1.2 they used knowledge distillation from muse spark, architecture wise it's similar to gemma 4 (which is llama 3 + swa (again!) + vision encoder), with scale free QK […
@_maxblade Max Blade on x
I hope you understand what this means. Local is here. Imagine a 24/7 always on, 100% private agent that runs at home. ZERO token constraints. This opens the possibilities for a TRULY helpful assistant at home that monitors your life, and constantly works 24/7 to make things
@yacinemtb Kache on x
Bro is back to commoditizing the complement Right now the biggest threat to the Facebook and Google empire is OpenAI and anthropic consuming social media by being the layer in between for the average consumer
@omarsar0 Elvis on x
Given how much Meta has done for open-source AI, it only felt right that they get back in the game. This is a huge statement from Meta and a big deal for the AI ecosystem. More than that, it points to a future where it's important to own your intelligence.
@phequals7 @phequals7 on x
everyone line up to fill the alexander wang apology form [image]
@simonw Simon Willison on x
Muse Glimmer, the new 30B model, is available on Hugging Face right now - here's the GGUF version: https://huggingface.co/...
@lmstudio @lmstudio on x
Muse Glimmer 30B is live in LM Studio! It's a new open source model from Meta. Apache 2.0 license, fit right on your laptop. It is the strongest model of its size class we've tested.
@pkafka Peter Kafka on x
Me last month: Hey Mark Zuckerberg - if you want people to feel good about your data centers, write them a check. Zuck today: We're writing $1 billion worth of checks to make people feel good about our data centers. [image]
@robertscotthorton Scott Horton on bluesky
Why Zuckerberg couldn't come to the rescue of people who were drowning near his massive yacht: he was busy at work on this extended hallucination. Then again, it's probably AI talking, not Zuck www.404media.co/mark-zuckerb...
@volts.wtf David Roberts on bluesky
Hoo boy, I see stuff like this and I think, yet again, “wtf is going on in the private billionaire chat groups?”
@mbkplus Mike Boylan-Kolchin on bluesky
OK but I really REALLY don't want this about.fb.com/news/2026/08... [image]
r/technology r on reddit
Mark Zuckerberg posts deranged 6,500-word essay about giving everyone AI ‘superintelligence’ — “The future is for everyone,” he says, describing future that is primarily good for Meta
r/MU_Stock r on reddit
Mark Zuckerberg Lays Out New AI Vision in 6,500-Word Essay
@beffjezos @beffjezos on x
This essay is extremely based and on point. Finally a fully techno-optimistic vision for a lab leader. Endorse.
@dinapowellmcc Dina Powell McCormick on x
.@FoxBusiness: @Meta announced a $1 billion Future is for Everyone Fund to invest directly in communities, backing teachers, law enforcement, local infrastructure. Zuckerberg says he was inspired by teachers in Richland Parish, Louisiana who received bonuses thanks to the [video]
@valtterivalo Valo on x
zuck is back in founder mode [image]
@rowantrollope Rowan Trollope on x
Good read from Zuck. He's got a clear point of view and presents a potential for an optimistic future. Personal empowerment and freedom are key principles as is open source. Long but worthwhile reading. https://www.meta.com/...
@basedtorba Andrew Torba on x
Commendable that Zuck continues to lean in on open source AI while every other major player wants a walled fiefdom and absolute power.
@collinsfortx Christian Collins on x
Good. Communities hosting massive data centers should actually benefit — teachers, law enforcement, and local infrastructure included. More of this from Big Tech.
r/Hasan_Piker r on reddit
Last night, Mark Zuckerberg posted a deranged 6,500-word essay about giving everyone AI superintelligence
@karengee @karengee on bluesky
Meta will endlessly struggle as long as walking dryer lint Mark Zuckerberg is in charge, burning through billions on failed product after failed product because he is just plain dumb about his fellow humans. — does he have any Interpersonal intelligence? no. Intrapersonal intel…
@garymarcus Gary Marcus on x
Sad to see the @nytimes confuse open-source (fully transparent) with open-weight models (less transparent; no access eg to training data). The new Meta model is open-weight but not open-source. NYT got it wrong. It is time for both the media and the public to learn this [image]
@ewerickson Erick Erickson on x
Meta seems to be the only company building data centers that knows it needs to show communities there are positives as opposed to scaring the hell out of everyone like Anthropic or being hyper out of touch like Sam Altman.
@davidjharrisjr David J Harris Jr on x
Love seeing our teachers and law enforcement get support like this... Thank you @finkd and @DinaPowellMcC!

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