Meta AI Releases Open-Weight Model That Runs AI Agents on Your Laptop With a Single GPU

Meta's New Open-Weight Model Can Run AI Agents on Your Laptop - CNET

Katelyn is a reporter with CNET covering artificial intelligence, including chatbots, image and video generators.... Read full bio Meta is putting its money (and AI models) where its mouth is. The company said Monday that its latest model is built specifically for AI agents. Meta Glimmer is out now and is built to run on your laptop or PC. Meta Muse Glimmer is a 30-billion-parameter model, which sounds big, but it's actually built to run more efficiently than other big AI models. (By comparison, Moonshot AI's Kimi K3 model, which approaches the capabilities of top models from companies like Anthropic and OpenAI, has 2.8 trillion parameters.) It can run on a single GPU, so you can run it on a newer MacBook or another computer with a relatively recent chip. The model is meant to help you orchestrate an army of AI agents, the newest wave of generative AI tech that lets you outsource tasks to bots known as agents. Open-weight AI lets anyone, including researchers and cybersecurity defenders, see how an AI model operates. It isn't fully transparent - open-source advocates say that to be truly open source, we'd need to know what's inside the black box of training data used by Meta and other companies - but it's less opaque than the closed-weight models offered by other major US developers. You can check out the model's documentation on Meta's website and HuggingFace. Meta CEO Mark Zuckerberg has been one of the biggest proponents of open-source, or open-weight, AI. He writes in an essay published Monday that the way to secure our future is to ensure that access isn't limited to a few institutions, including tech companies like OpenAI, Anthropic and Meta. (It's worth noting that Zuckerberg doesn't have the same open philosophy when it comes to his social media platforms, which are run by black-box algorithms.) "The defining questions of our age are who will have access to superintelligence and what will we direct it towards," Zuckerberg wrote. "We propose a philosophy based on individual empowerment as the source of prosperity, invention as the primary purpose of superintelligence, and balance of power as the foundation of safety." The company is also introducing a $1 billion fund to "support each community" where it opens data centers. Data centers are the controversial facilities tech companies need to keep AI running, but towns across the US have fought hard to keep them out due to environmental concerns, noise, higher electricity prices and more. New York recently became the first state to pass a moratorium on data center construction. A billion dollars is a drop in the bucket for the $1.5 trillion company, but Meta says its investment in the area can include giving teachers bonuses, funded by tax revenue. Meta spent billions of dollars over the last few years to staff up its Superintelligence Labs with some of the biggest names in the AI field, and it seems the group is now finally showing progress. The company has released a slew of new models recently, including the closed-weight models Meta Spark 1.1 and Spark 1.2, which power its Meta Code tool that competes with Anthropic's Claude Code and OpenAI's Codex. It also dropped an AI image tool that let anyone create deepfakes on Instagram, which was pulled less than a week later amid intense public backlash. Meta is one of the only big tech companies to release open-weight AI models. OpenAI released a family of them in 2025, called GPT-OSS. Anthropic's Claude models are all closed, which means we have little insight into how they operate.

Four takeaways from Mark Zuckerberg's massive AI manifesto

Meta CEO Mark Zuckerberg has a lot to say about the idealized future he now envisions for humanity co-existing with artificial intelligence -- his latest essay spans more than 6,500 words on the matter. The lengthy manifesto Zuckerberg published on Monday, titled "The Future is for Everyone," broadly lays out his beliefs about how the technology should be developed, expanded, and regulated, and how Meta is positioning itself to enable those goals. Some points echo a similar (albeit, much shorter) public letter that Zuckerberg put out last year, heralding the importance of public access to superintelligent AI -- a term for artificial general intelligence (AGI) models capable of surpassing human intelligence, which AI companies are racing to develop. Both were published with similar intentions: to pitch the supposed personal, societal, and economic benefits of superintelligent AI, and to grandstand Meta as a responsible steward to deliver that future. Here are some of the main takeaways from Zuckerberg's latest essay: "Sustainable infrastructure development means that communities must benefit significantly from each project," Zuckerberg said, detailing how Meta plans to resolve the ongoing PR crisis surrounding AI datacenter projects. This includes pledges to build energy-generating infrastructure "wherever we invest" that could potentially give low-cost energy back to the communities, and a commitment to "restore more water than we use in the watersheds where we operate by 2030." Meta is also launching a Future Is For Everyone Fund to support local communities, and Zuckerberg says the company is providing free training and "guaranteed high-paying jobs" for skilled tradespeople in areas where Meta is building data centers. Meta is planning to focus its efforts on "delivering personal superintelligence to billions of people and small businesses," arguing that doing so will empower everyone to become more entrepreneurial. Part of this involves offering the technology "for free or as affordably as possible," and leaning into releasing more open source AI models that anyone can download. Doing so "will bring an abundance of personal agency, expression of ideas, deepening of relationships, economic and financial prosperity, improved health, and inventions we cannot imagine today," according to Zuckerberg. He also says this will have an impact on "some aspects of the way we work," but waves off concerns that AI will result in fewer jobs overall. Zuckerberg voices the importance of the US leading the open source AI ecosystem, citing concerns that competing models released by foreign labs "hold several advantages" because they face fewer training data restrictions. He pitches that the US needs to rethink policies around distillation and data use, arguing that while "some have tried to frame distillation as harmful," the US will not be able to keep up if it keeps restricting AI models from learning from other models. "I do not believe restricting access to foreign open source models is an effective solution," said Zuckerberg. We should note here that these concerns are likely being voiced in response to the release of open-weight models from Chinese AI companies like Alibaba and Moonshot, which isn't the same thing as being open-source, and the models Meta has released so far aren't truly open-source either. He also espouses that access to personal superintelligence is essential for individuals to maintain their freedom, and should only be subject to restrictions "when truly required." In cases where cybersecurity is involved, Zuckerberg proposes that frontier AI labs should work with the US government to help with bolstering critical infrastructure, and believes open-source AI models will improve system security over time -- especially "once superintelligence enables most of the world's code to be verifiably secure." That plan includes pushing AI developers to share the training information of new models "for government use and review" intermediately instead of waiting until training has completed, which aligns with the Trump administration's AI testing framework. "This way the government will have early access to the most powerful models and an army of capable engineers to identify and patch security issues," Zuckerberg said. "Labs should also work with law enforcement to help identify bad actors attempting to misuse their systems.

Meta launches new AI model as Zuckerberg champions open-weight push

Aug 10 (Reuters) - Meta (META.O), opens new tab CEO Mark Zuckerberg called for lower U.S. barriers for open-source AI models to compete with Chinese rivals as the social media giant released a new open-weight model on Monday. The new model, Muse Glimmer, is much smaller than leading AI models from rivals and is instead designed for agentic tasks and can run on a Mac or PC with a single graphics card, aiming to tap demand for AI systems that run directly on people's devices. It comes as the social media giant seeks to strengthen its position after forming a costly, new superintelligence team last year to propel itself back into the high-stakes AI race. Zuckerberg's statement also marks the latest show of support for open-weight AI, which is gaining traction ⁠as businesses grow wary of ballooning AI bills and worry about recent cybersecurity incidents involving models from Anthropic, OpenAI and Meta. Hugging Face, the AI coding collaboration site that was hacked by a rogue OpenAI model, said last month that it used a Chinese open-weight model to defend against the attack because closed-source models have restrictions on use for cybersecurity work. Open-weight models are typically cheaper than leading models from so-called frontier labs such as OpenAI and Anthropic. Open-weight models also come with publicly accessible core components for easy customization, unlike closed models that companies keep fully under their control. POLICY RETHINK NEEDED TO PROPEL OPEN-WEIGHT Zuckerberg said in a statement that the U.S. needed to rethink policies if domestic ⁠firms were to lead in open-weight models. Chinese startups are leading the race for open-weight models, with Moonshot's Kimi K3, alongside Alibaba's Qwen3.8-Max and DeepSeek's V4-Flash, delivering performance that rivals top systems by U.S. AI labs. By contrast, the leading models of U.S. developers OpenAI, Anthropic and Alphabet's (GOOGL.O), opens new tab Google are closed source. "Foreign labs currently hold several advantages here since American labs have to ⁠comply with many additional restrictions on training data," Zuckerberg said, referring to open-source models. "US policy must reduce this additional friction if we want American open source models to lead over time," Zuckerberg said, adding that restricting access to foreign open-source models was not an ⁠effective solution. U.S. President Donald Trump's administration told AI developers earlier this month that it will not put open-weight AI models through voluntary safety tests, according to two sources familiar with the discussions. In his statement, Zuckerberg also advocated for AI ⁠model distillation, or using a powerful AI system to train a smaller model. He said that Meta would implement a governance structure to give its independent directors the power to approve the safety criteria for releasing models. Reporting by Ananya Palyekar and Shubham Kalia in Bengaluru; Editing by Mrigank Dhaniwala and Devika Syamnath Our Standards: The Thomson Reuters Trust Principles., opens new tab

Mark Zuckerberg attacks 'closed' AI rivals as Meta returns to open models

Meta's founder casts OpenAI and Anthropic as foils in his pitch for powerful AI to become more freely available Meta chief Mark Zuckerberg has argued against allowing powerful AI to become concentrated in the hands of companies and governments, as the Big Tech giant resumes making some of its AI models freely available to outside developers. The $1.5tn company on Monday released the underlying parameters of Muse Glimmer, a new "open" AI model that developers will be able to download and modify. Meta said it would also release those parameters, known as "weights", for a version of its more powerful Muse Spark model in the coming weeks. Alongside the announcement, Zuckerberg published an essay on Meta's website outlining a plan to distribute "free" and highly capable AI to "billions of people", in an effort to empower individuals and "check and balance the power of institutions". In an apparent attack on groups such as Google, Anthropic and OpenAI, he wrote: "Most other labs are focused on building AI for companies, governments, or other institutions. So if those labs lead, then the balance of power will favor larger institutions over individuals". The pledges marks a return to the "open" AI strategy that Meta has used to distinguish itself from rivals. Meta declined to release the underlying weights of Muse Spark earlier this year, citing safety concerns, as competition among leading AI companies increasingly focuses on how widely their most capable technology should be distributed. On Monday, Meta also unveiled a $1bn fund for communities hosting its US data centres as it accelerates the infrastructure build-out needed to support those ambitions. Big Tech companies have been the target of a backlash from local residents near data centres, as the developments can compete for scarce resources such as power and water. Zuckerberg's intervention comes as Meta spends billions of dollars chasing the frontier of AI and promoting his vision of "personal superintelligence" -- advanced AI agents intended to help individuals with everything from health and hobbies to finances and careers. But Meta's share price fell nearly 8 per cent after it revealed last month that its spending on AI infrastructure had pushed its free cash flow down by 91 per cent. The social media group's shares have fallen nearly a fifth over the past year, as it has poured money into hiring top AI talent and building AI data centres. Zuckerberg suggested the company would press on with investing in open-weight models, criticising the "closed" approach of rival labs that have made billions in revenue from selling access to their models. "Some argue that the best way to reduce risk is to restrict the capabilities individuals can access," wrote Zuckerberg, arguing that "widely deployed open source systems have proven more secure because more people can identify vulnerabilities". He gave the example of Hugging Face, a start-up that relied on open models to patch its security systems after closed models refused its requests on safety grounds. Zuckerberg's comments came as Chinese AI labs narrow the gap between their own open models and the most advanced proprietary offerings from US labs. OpenAI and Anthropic have accused Chinese rivals of training their models through the outputs of US labs, using a technique called distillation. However, Zuckerberg came out in favour of the practice, saying it was "important to protect the principle that you can learn from anything you observe" and rejecting the idea that distillation was "harmful". Zuckerberg said that Meta would place the power to review the safety of its models in the hands of its independent board of directors. The Meta founder criticised rival AI labs for espousing a "discourse . . . so filled with doom". "The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic," he said. "As everyone gains more powerful tools, each person will become more capable of shaping the future, not less."

Meta's 'open source' Muse Glimmer model can run on a single computer - Engadget

The download is available for free and users can run the model on their own PCs. Meta has released a new slimmed down "open source" AI model that's light enough to run on a single computer, the company announced today. Called Muse Glimmer, it's based on Meta's Spark 1.2 closed model, but is small enough to require just a single GPU for agent-oriented tasks like scheduling and file management. "We designed Muse Glimmer to balance capability against the memory and compute constraints of local hardware," the company wrote. Facebook said that it's making the "weights" that AI systems use to choose responses available to everyone on Hugging Face along with developer documentation. The download is available for free, and users can run the model on their own PCs. The company noted that optimized integrations will land on llama.cpp and other sites, "so you can go from download to working agent in minutes." The model is powerful for its size, according to Meta, with the "strong success rates" on benchmarks like DeepSearch QA, MCP-Atlas and SWE-Bench (which evaluates its ability write and debug code). It also supports reliable tool use, multi-step reasoning, failure recovery, multimodal input and scaffold compatibility for work with OpenClaw and other agent orchestrators. It was trained on data from over 100 languages, the company added. Meta's new model is not unlike some AI competitors from China like DeepSeek, which can run on local machines and offers more open licensing. "Rather than centralizing superintelligence, we should distribute it widely and give every person the ability to direct it," CEO Mark Zuckerberg said in an essay accompanying Muse Glimmer's release. Meta's Muse Spark AI is seen as weaker than rivals from OpenAI and Anthtropic. The new model, then, looks like an effort to take its AI in a more open-source direction and attract users who prefer to run their models locally. That has been a hot subject of late, with NVIDIA recently launching the Open Secure AI Alliance to improve cyber defense following the rogue attack on Hugging Face by an unreleased, closed OpenAI model.

Meta to open source its most powerful AI model as it takes swipe at OpenAI, Anthropic

Meta is looking to reassure investors that it is competing with leading labs like OpenAI and Anthropic. Meta said it would open source its most powerful AI models and launch new ones designed for consumer devices, as it looks to rival leading labs like OpenAI and Anthropic. In an Instagram video posted Monday, CEO Mark Zuckerberg said that the company would open the weights for its latest AI model Muse Spark 1.2, meaning it can be downloaded and used by the public. Weights refer to the calculations and rules that determine how the AI works and behaves. Zuckerberg also said the company will release a new family of open-source models called Muse Glimmer, designed to run on a laptop. Shares of Meta were up 2.1% in premarket trade on Monday. They are down around 10% so far this year, as investors scrutinize Meta's spending plans and whether it can compete with major AI leaders. Zuckerberg is looking to reassure investors that the Meta Superintelligence Labs, formed last year, is making progress and the capital expenditure, forecast to be up to $145 billion this year, will pay off. While companies like Anthropic and OpenAI have mainly focused on closed AI models, rivals in China from Alibaba to DeepSeek and Moonshot have aggressively released open-weight models that have competed in some areas with the leading technology out of U.S. companies. In a 6,500-word essay on AI, published Monday, Zuckerberg positioned Meta's move as a challenge to Chinese open-source technology and urged Washington to support American efforts. "Foreign labs currently hold several advantages here since American labs have to comply with many additional restrictions on training data. US policy must reduce this additional friction if we want American open source models to lead over time," Zuckerberg wrote. "I do not believe restricting access to foreign open source models is an effective solution. Our goal should be for American open source models to be the best globally. This requires removing the hurdles that make it harder for American open source models to compete." Zuckerberg said that the U.S. will need to "rethink" its policies in several areas, including distillation and data use in training, if it is to lead in open source AI. Broadly, distillation refers to the use of output from an advanced AI model to train another model. Distillation has attracted some controversy, with some U.S. lawmakers viewing the practice as effectively theft of intellectual property. In touting his open-source push, Zuckerberg warned against the concentration of power in AI around a few companies, in what appeared to be a thinly veiled swipe at OpenAI and Anthropic. "Still, it is surprising that the discourse from many developing AI is so filled with doom. I do not understand why anyone who believes that AI will eliminate most jobs and much of humanity's relevance would rush to build that future," Zuckerberg wrote. "The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic." Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman have both warned of AI's impact on jobs. Altman recently softened some of his comments on jobs. Choose CNBC as your preferred source on Google and never miss a moment from the most trusted name in business news.

Meta Unveils 'Open Source' Version of Its Most Powerful A.I. Model

Last month, Mark Zuckerberg, Meta's chief executive, boldly came out in support of "open source" artificial intelligence models that are publicly available to download and modify without payment or approval. The way forward, he said, was through "openness and putting the power of tech into more people's hands, not fewer." On Monday, Mr. Zuckerberg doubled down on that support. Meta released an open-source version of its most powerful A.I. model, Muse Spark. Called Muse Glimmer, it is nearly identical to Muse Spark and can generate code, text and images. Muse Spark, which debuted in July as a "closed" A.I. model that people pay to access, will remain closed. The new open-source model was accompanied by a 14-page essay from Mr. Zuckerberg laying out his vision for A.I. The technology should not be feared, he said, and the United States needs to retain its primacy over China in the A.I. race. Without naming Anthropic and OpenAI, the rival A.I. companies that have called for tight controls on the technology, he criticized their approaches, saying that concentrating A.I. power in the hands of just a few companies was hazardous. "Rather than centralizing superintelligence, we should distribute it," Mr. Zuckerberg, 42, wrote in the essay, which he titled "The Future is for Everyone." He added, "This has the potential to begin a new era of personal empowerment." Meta's new model is likely to add to a contentious Silicon Valley debate over the direction of A.I. development. Anthropic and OpenAI have argued that A.I. should be restricted because it is dangerous and needs to be safely developed in a contained fashion. But Meta, Nvidia, Microsoft, Google and others have backed open-source, saying the technology must be freely available so that people can further develop A.I. and build new businesses. The debate was turbocharged last month when Chinese start-ups released powerful open-source A.I. models that appeared to threaten the technological edge held by U.S. companies. Officials in Washington became embroiled in the debate, with OpenAI and Anthropic raising concerns about Chinese open-source A.I. models with regulators, while Nvidia and others pushed against restrictions. (The New York Times has sued OpenAI and Microsoft, claiming copyright infringement of news articles. The two companies have denied the claims.) Meta has long supported open-source A.I. and was for years one of the few American tech giants to give away its top A.I. models for free. That changed last spring, after Meta fell behind Anthropic and OpenAI in the A.I. race. It began developing a closed A.I. model instead. That model, Muse Spark, was developed under Alexandr Wang, 29, an A.I. entrepreneur who Meta hired last year to be its chief A.I. officer. The company began selling access to Muse Spark for the first time last month. Last week, Meta also released Muse Code, a stand-alone coding assistant powered by Muse Spark. Muse Spark does not perform as well as leading A.I. models from Anthropic and OpenAI on measures such as coding, reasoning and writing, according to leaderboards that track A.I. benchmarks. Meta has positioned the model as a cheaper alternative to its rivals. That strategy is similar to Chinese A.I. companies and their inexpensive open-source models. The Chinese models have become increasingly popular in the United States as companies seek to cut their A.I. bills, as well as in developing nations such as Kenya and Uganda. In his essay, Mr. Zuckerberg also expanded on Meta's vision for superintelligence, which includes giving people personal "agents," the A.I. bots that can "work 24/7 on your behalf to improve your relationships, health, career, finances, home management, hobbies, and more." His eight-year-old daughter has been using A.I. to code and create videos, he added, and he is using A.I. with her to design a robot. "Everyone will soon have invention superpowers," Mr. Zuckerberg said. China has advantages in the A.I. race, Mr. Zuckerberg added, such as the ability to build data centers and nuclear power facilities quickly and with fewer regulations. He called for a new process for government oversight of A.I. development, and defended distillation, a practice in which A.I. labs use rival models to help train their own. In the coming months, Meta plans to release a new cutting-edge A.I. model, internally called Watermelon, that will be more powerful than Muse Spark. Mr. Zuckerberg did not say if the model would be open or closed.

Meta launches Muse Glimmer and presses Washington on open-weight AI

Muse Glimmer is a 30-billion-parameter model, released under Apache 2.0, that runs on a single consumer GPU, and its launch doubles as Zuckerberg's pitch for Washington to give American open-source AI a freer hand. Meta has released a new AI model, and Mark Zuckerberg has used the moment to make a political argument as much as a technical one. The model is Muse Glimmer, a compact, open-weight system, and its arrival came wrapped in a call for Washington to stop holding American open-source AI back. The model itself is built for a specific kind of user. Muse Glimmer is a 30-billion-parameter system aimed at agentic tasks, and crucially it runs on ordinary consumer hardware, a Mac or PC with a single graphics card, which puts it squarely in the growing camp of on-device AI rather than the cloud-bound giants. Its efficiency and openness are the headline features. After 4-bit compression the model needs under 20GB of memory, so it fits on a 24GB or 32GB card and runs on hardware as ordinary as a MacBook or a single RTX 5090 Also, Meta is releasing it under the permissive Apache 2.0 licence on Hugging Face, with day-one support across local-AI tools like Ollama, LM Studio and vLLM. On capability, Meta pitches it as a genuine agent rather than a chatbot, highlighting reliable tool use and function calling, multi-step reasoning over long tasks, the ability to recover from its own errors, and multimodal input, all with a dial for how much reasoning effort to spend. The benchmarks it cites are revealing about its ambitions. Meta compares Muse Glimmer with Google's Gemma and Alibaba's Qwen rather than with the frontier giants, positioning it as a leader in its size class and a bet that the future is not only enormous cloud systems but also smaller models that live on your own machine. Zuckerberg's framing, though, was where the news really sat. He argued that US policy has to change if American open-weight models are to lead over time, insisting that domestic labs are being handicapped by rules their foreign rivals simply do not face. His specific complaint was about training data. American labs, he said, must comply with many additional restrictions on the data they train on, a friction he claims gives foreign labs a structural head start in the open-weight race. The subtext is a contest Meta is worried about losing. Chinese developers now dominate open-weight AI, with models like Moonshot's Kimi K3 and Alibaba's Qwen setting the pace, and DeepSeek's V4-Flash crowned the cheapest well-known model to run, exactly the sort of efficient, downloadable system Muse Glimmer is meant to answer. Mark Zuckerberg was pointed about how not to respond. Rather than trying to ban or restrict foreign open-source models, which he dismissed as ineffective, he wants the US to level its own playing field, and he openly championed distillation, the technique of shrinking large models into smaller deployable ones. Muse Glimmer is that philosophy made concrete, distilled from Meta's larger Muse Spark to pack a bigger system's know-how into one small enough to run at home. That endorsement is notable given where the industry lines are drawn. American frontier leaders, including OpenAI, Anthropic and Google, have largely kept their most powerful models closed, so Meta's loud embrace of open weights sets it apart from its closest domestic rivals. There is a tension in Meta's own stance, though. Zuckerberg had earlier hinted that the company might be more cautious about open-sourcing its most powerful superintelligence systems, so the open banner now flies most confidently over smaller models rather than the frontier. The push also lands amid a broader argument about who leads on openness. A group of AI figures has pressed the case that open weights are central to American AI leadership, a debate in which Meta has positioned itself as the standard-bearer among the big US labs. All of this sits inside Meta's enormous AI bet. The company has been lifting its capital spending to build the infrastructure for superintelligence, and open models are the part of that strategy designed to win developers and goodwill rather than direct revenue. For now, Muse Glimmer is both a product and a lobbying prop. It gives developers something genuinely useful to run at home, and it hands Mark Zuckerberg a fresh example to wave at Washington as he argues that the way to beat China on open AI is to loosen the reins on America's own labs.

Mark Zuckerberg Posts Deranged 6,500-Word Essay About Giving Everyone AI Superintelligence

"The future is for everyone," Zuckerberg says, describing future that is primarily good for Meta. Mark Zuckerberg, whose superyacht apparently spent the weekend ignoring or missing the distress signal from a boat that ran out of fuel near Alaska, has posted a deranged, 6,500 word essay detailing his vision for AI superintelligence, a future that is "for everyone" but which sounds less social than ever. Zuckerberg posts these types of essays every so often for purposes that serve his own company, and this one, called "The Future Is For Everyone," is designed to defend against general backlash to AI but also to Meta's own practices. Zuckerberg lays out the potential use case for Meta glasses (whose huge marketing campaign cannot get people to stop calling them "pervert glasses"), AI agents, open weights AI development, and why data centers are not bad for communities, actually. Like most Silicon Valley "utopian" essays, to believe that any of this is going to go how Zuckerberg suggests it will requires one to have been recently concussed or to willfully ignore how this technology is being used today and believe that thousands of years of human nature will suddenly shift. For example, Zuckerberg writes "Everyone will have an exceptionally capable personal agent that understands you, your goals, and everything you care about. Your agent will work 24/7 on your behalf to improve your relationships, health, career, finances, home management, hobbies, and more. It will free up time for the things you enjoy, and help you accomplish more than you could otherwise. It will have strong privacy and security options so you can trust it to handle all of your personal content knowing that no one else can access your information, similar to how encryption works on WhatsApp. You'll be able to interact with your agent through any device, including your glasses to keep you present in the moment with the people you care about." Zuckerberg does not grapple with, or even gesture at, the idea that some people may not want to have an AI agent working on their "hobbies." He does not consider that, even if everyone were to have an AI agent, perhaps not everyone would use these AI agents for good. In the few months that AI agents have become popular among the early adopter set, we have seen "benevolent" AI agents endlessly spam humans and the internet with drivel. And those are just the kind-of-annoying ones. We have seen AI agents hack companies, and over the weekend an Australian man went viral because his AI agent that he asked to sign him up for gym classes did so by hacking the gym's reservation system and canceling other people's reservations. Like many AI weirdos, Zuckerberg explains how AI has already changed his life by allowing him to automate many of the joyful tasks of parenting by outsourcing them to an agent: "My agent flags interesting information and helps me prototype ideas. It helps keep me healthy by monitoring my sleep and then watching as I train and giving feedback. My daughter loves to bake so my agent plans personalized recipes for us to make together each weekend, orders the ingredients, and then offers suggestions as we're baking," he writes. "My 8 year old daughter can already code her ideas and produce videos in an evening that would have either taken me months or been impossible previously. Now we're designing a robot together." Zuckerberg's essay goes on and on and on like this. He imagines a future where everyone can do everything and wants to do everything. In Zuckerberg's future, everyone will have a business run by their AI agent. Everyone will be inventing things and doing basic research on the nature of the universe and physical elements, for some reason. Zuckerberg writes that Meta employees, with the help of AI, are "generating novel crystal structures that are ideal for augmented reality glasses," then writes "everyone will soon have invention superpowers," and that "everyone [...] will be able to contribute to scientific progress." In this future that, again, is for "everyone," Zuckerberg explains that AI tools will be free, but that, actually, using it will be a tiered system that is exactly the same as it is now: "For everyone to be part of the future, everyone must have the ability to use superintelligence to improve their lives and shape the world. We will offer free versions that will be accessible to billions of people. For those who want to pay to use more compute, there will be a dynamic auction mechanism that will guarantee that everyone gets the lowest price possible for the intelligence and compute they're using while also ensuring the capacity is used for whatever people collectively find most valuable." Zuckerberg's essay is full of platitudes and sentences that mean nothing, "thought experiments" that are not developed or explored in any way, discussions of "freedom," etc. Here are some sentences: * "Humanity is not a monoculture. People's diverse values represent different tradeoffs they would make on important issues. There is no technological solution that can align with everyone's opposing interests and values at once." * "As a thought experiment, imagine only one person had a superintelligent lawyer. They would have an unfair advantage in court -- even if they were wrong on the merits. That would lead to a worse society. But now imagine everyone has a superintelligent lawyer. In this case, justice would be carried out much more fairly and efficiently than it is today when there is often an imbalance in skills and resources in litigation." * "People have an infinite demand for new experiences and have always found new problems to tackle." * "While the number of questions a person can ask in a day is limited, the number of valuable things superintelligence can invent to help achieve your goals is unlimited." * "If people can use AI to invent incredibly valuable new things, then it will make more sense to allocate it towards that rather than automating existing jobs. The more superintelligence serves as a tool of invention, the more likely that individual capability outpaces automation and the future is better for people." * "In a free society, people will have tools that can be used for good or harm, but law enforcement and military have more weapons and intelligence-gathering." There is an entire section on data centers. In Zuckerberg's future they are powered by power infrastructure Meta owns (which is not the case currently) and create lots of high-paying, long-lasting jobs (not the case currently). There is an entire section on "preventing government tyranny" by giving everyone superintelligence: "To maintain freedom, we must ensure that superintelligence primarily empowers individuals. The ideal in liberal democracy is that people naturally hold all rights and only agree to restrict some freedoms to protect the common good. Similarly, individuals should have access to personal superintelligence and should only be subject to restrictions when truly required." Zuckerberg does not address the backlash to his company, his data centers, his social media platforms, or his surveillance glasses. He does not discuss the slopification of the internet, gestures at job loss only through the lens that superintelligence will somehow fix it once AI agents start businesses for everyone or "invent incredibly valuable new things," and describes a future in which bad actors essentially do not exist or are easily dispatched with. It's the future Zuckerberg wants. It's not the future "everyone" wants.

Zuckerberg: AI's biggest risk is one entity with too much control

Why it matters: Zuckerberg's flag in the ground, with a utopian vision of a highly personal AI that fuels individual achievement, comes as policymakers debate how much control they should have over increasingly powerful models. What they're saying: "One of the ways to achieve both individual empowerment and checks and balances is to make sure you put the technology in everybody's hands," Zuckerberg told Axios' Mike Allen in an interview ahead of the manifesto's release. * "It's definitely a different view than what you're hearing from a lot of other people in the tech industry right now." * He wrote that he wants to ensure the U.S. and democratic countries lead, and ultimately make sure "humanity maintains control over superintelligence so it serves rather than endangers us." The big picture: Even as the world confronts AI that is breaking out of sandboxes, comparing notes on message boards and creating new viruses, Zuckerberg portrays it instead as an analog to other disruptive technical innovations. * "Humanity has witnessed many transformative advances," he writes in the manifesto. "Each time there is fear that people will be left behind. But each time humanity has come out with more people sharing greater prosperity, health, and freedom." * "We believe this will be true with AI as well, and the abundance of the future can be shared by everyone," he says. "We also believe that the values that got us to this point -- like liberty, open inquiry, free enterprise, and equal opportunity -- are also the right values to build a positive future." Threat level: Zuckerberg contrasts this vision with one in which only some people, some businesses or some countries have access to the most powerful AI, suggesting that would represent a far more dangerous outcome. * "I'm personally more worried about centralization than I am about any of the specific risks others are talking about," he told Axios. * The manifesto argues that too much intervention by the U.S. could hand an advantage to other regimes -- presumably China -- especially when technology leads can be measured in weeks. * "Any policy that slows American model releases -- even by a month -- could add significant risk to American leadership while letting foreign models race ahead," he wrote. Zoom out: Zuckerberg's plan for Meta is that "everyone will have free or affordable access to these tools," with the paid versions using a "dynamic auction mechanism" to get the compute they need at the lowest possible price. "This will ensure the benefits of superintelligence are distributed widely." * He also said Meta's future AI agents will have privacy protections that are far greater than those currently offered by Meta AI. * "We believe that people should have a fully private mode for personal agents where even Meta or any other service provider cannot see or grant access to your information." * Meta AI's current policies allow the company to use nearly every interaction one has with the service to train its AI systems, though it recently added incognito mode. Between the lines: Zuckerberg also said Meta will resume releasing some open-source AI models, now that Meta Superintelligence Labs is up and running, as Axios reported in April. * Meta says it's opening the weights of a new model, Muse Glimmer, billed as "one of the highest-performing models of its size," and will open the weights for a version of the foundational model Muse Spark 1.2 in coming weeks. * Zuckerberg added that Meta's independent board will have the power to approve model-release safety criteria and review whether releases meet those standards. * And he promised a "community compact" around Meta's data center development, including local jobs, investments in schools and public services, and commitments on energy prices and water use. Local spending: Hoping to tamp down data-center backlash, Zuckerberg also announced Meta is launching the Future is for Everyone Fund "to support each community we work in directly." The fund, seeded with $1 billion for U.S. communities where Meta owns and operates data centers, will benefit teachers, first responders, and energy and water infrastructure. * A Meta training program for workers in skilled trades, with guaranteed jobs at the company's data centers -- America's Workforce Academy, which Axios reported in June -- graduated its first class last week. The bottom line: The manifesto represents Zuckerberg's clearest effort yet to weigh in on AI's future, both as a matter of policy and technology.

Mark Zuckerberg AI essay pushes back on doomers, open source

The Meta CEO argues for distributing AI broadly, announces a $1 billion community fund, and calls for earlier government access to models Meta $META CEO Mark Zuckerberg published a 6,500-word essay on Monday pushing back on what he described as a doom-laden discourse inside the AI industry, arguing that spreading powerful AI tools as broadly as possible -- rather than concentrating them -- is the path to both economic growth and safety. "It is surprising that the discourse from many developing AI is so filled with doom," Zuckerberg wrote. "The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic." The essay, which also appeared in shorter form as a Wall Street Journal opinion column, advances a philosophy built around three pillars: individual empowerment, invention as AI's primary purpose, and a balance of power as the foundation for safety. Zuckerberg argued that superintelligence should be distributed to individuals rather than controlled by companies, governments, or AI systems themselves, and that this distribution is what will keep humanity safe. Among the concrete announcements in the essay, Meta said it will launch a new open-weight model called Muse Glimmer and, in the coming weeks, release an open-weight version of its most advanced model, Muse Spark 1.2, according to the Wall Street Journal. Meta had paused open-weight model releases after reorganizing its AI operations last year, according to the Journal. Meta also unveiled a $1 billion "Future Is For Everyone Fund" aimed at channeling resources to the towns and regions that host its data centers. Zuckerberg pointed to Richland Parish, Louisiana, as a model, noting that local teachers had collected $50,000 bonuses tied to economic activity flowing from the company's Hyperion data-center campus nearby. The announcement comes at a fraught moment for the industry; New York moved just weeks ago to halt new data-center construction in the state for as long as a year. On government oversight, Zuckerberg proposed that AI labs share intermediate model training checkpoints with the federal government rather than waiting for a completed model. He took issue with the Trump administration's executive order that sets up a voluntary 30-day review window for new models, arguing the timeline amounts to 'quite a meaningful amount of time' at the current speed of AI development -- an argument he first raised last month in a shorter Wall Street Journal column. Zuckerberg also said Meta would give its board of directors authority to approve safety criteria for model releases. "I do not think it is in my, Meta's, or the world's best interests for me or anyone else to be a sole decision maker on how superintelligence is deployed," he wrote, calling on other AI companies to adopt similar governance structures. The essay drew an implicit contrast with Anthropic CEO Dario Amodei, who has warned about potential job disruption from AI, though Zuckerberg did not name him, according to MarketWatch. Zuckerberg argued that wide distribution of AI is more likely to generate jobs than eliminate them, predicting more companies with smaller headcounts rather than mass unemployment.

Meta releases new AI model as Zuckerberg lays out vision

Washington (United States) (AFP) - Meta chief executive Mark Zuckerberg called Monday for lower barriers for open source AI, as his company introduced a new model that can run on a personal computer. The launch comes amid debate in the United States on whether access to the technology should be more restricted, and on local pushback against the buildout of data centers that power it. This was accompanied by a long essay outlining Zuckerberg's vision for artificial intelligence in which he stressed the need to remain competitive against countries like China, among other issues. Competitors OpenAI and Anthropic largely focus on closed AI models. Zuckerberg said in an Instagram video Monday that his company would open the weights for its latest AI model, enabling it to be downloaded by the public. Weights refer to calculations or rules governing how an AI system behaves. He said Meta would also release a new class of open source models, designed to run on a laptop. "Rather than centralizing superintelligence, we should distribute it widely and give every person the ability to direct it," Zuckerberg said in his essay. He took aim at other labs that are "focused on building AI for companies, governments or other institutions," arguing that this would tip the balance of power in favor of institutions instead of individuals. Zuckerberg added that foreign labs hold advantages over US ones that have to comply with restrictions on training data. "I do not believe restricting access to foreign open source models is an effective solution," he said. "Our goal should be for American open source models to be the best globally. This requires removing the hurdles that make it harder for American open source models to compete," he said. Amid growing public opposition to data center development in the United States, Zuckerberg added that Meta is launching a fund to directly support communities around its facilities.

Meta releases scaled-down AI model consumers can use at home

Meta Platforms Inc. introduced a new AI model that's light enough to run on a single computer, allowing users to download and customize the technology. The new Muse Glimmer is a distilled version of the company's Muse Spark 1.2 model, designed with a focus on efficiency to minimize system requirements, Meta said on Monday. At 30 billion parameters, the Muse Glimmer is "small enough" to need only one graphics card to power its work, which will primarily involve agent-like artificial intelligence tasks such as schedule management and file organization, according to Meta. The weights, or values that help the AI system make decisions, for Muse Glimmer will be available on Hugging Face and Meta also intends to make the weights for a version of the more powerful Muse Spark available as well. The move to release these AI models under a permissive license mirrors competition in China, where startups like DeepSeek and Moonshot, along with internet giant Alibaba Group Holding Ltd., have adopted the practice to attract the largest number of users. Meta is in a global race to deliver AI breakthroughs and benefits that would eventually pay off lavish spending on hardware and data centers to develop the technology. Along with U.S. peers Amazon.com Inc., Alphabet Inc. and Microsoft Corp., Meta has committed more than $2 trillion to expanding its capabilities, and developing AI models and tools that entice people to use it over those rivals will help the company secure long-term business. It's developing plans for a cloud infrastructure business that will sell access to AI computing power and models, along the lines of Amazon Web Services. Menlo Park, California-based Meta also said on Monday that it intends to set up a $1 billion fund to invest in US communities where Meta owns and operates data centers. The runaway spending by hyperscalers like Meta and Google has been met with resistance in many locations across the US where the companies are setting up resource-hungry operations. -With assistance from Kurt Wagner. More stories like this are available on bloomberg.com

Meta launches new Muse Glimmer AI model

Aug 10 (Reuters) - Meta META.O CEO Mark Zuckerberg called for lower U.S. barriers for open-source AI models to compete with Chinese rivals as the social media giant released a new open-weight model on Monday. The new model, Muse Glimmer, is much smaller than leading AI models from rivals and is instead designed for agentic tasks and can run on a Mac or PC with a single graphics card, aiming to tap demand for AI systems that run directly on people's devices. It comes as the social media giant seeks to strengthen its position after forming a costly, new superintelligence team last year to propel itself back into the high-stakes AI race. Zuckerberg's statement also marks the latest show of support for open-weight AI, which is gaining traction as businesses grow wary of ballooning AI bills and worry about recent cybersecurity incidents involving models from Anthropic, OpenAI and Meta. Hugging Face, the AI coding collaboration site that was hacked by a rogue OpenAI model, said last month that it used a Chinese open-weight model to defend against the attack because closed-source models have restrictions on use for cybersecurity work. Open-weight models are typically cheaper than leading models from so-called frontier labs such as OpenAI and Anthropic. Open-weight models also come with publicly accessible core components for easy customization, unlike closed models that companies keep fully under their control. Policy rethink needed to propel open-weight Zuckerberg said in a statement that the U.S. needed to rethink policies if domestic firms were to lead in open-weight models. Chinese startups are leading the race for open-weight models, with Moonshot's Kimi K3, alongside Alibaba's Qwen3.8-Max and DeepSeek's V4-Flash, delivering performance that rivals top systems by U.S. AI labs. By contrast, the leading models of U.S. developers OpenAI, Anthropic and Alphabet's GOOGL.O Google are closed source. "Foreign labs currently hold several advantages here since American labs have to comply with many additional restrictions on training data," Zuckerberg said, referring to open-source models. "US policy must reduce this additional friction if we want American open source models to lead over time," Zuckerberg said, adding that restricting access to foreign open-source models was not an effective solution. U.S. President Donald Trump's administration told AI developers earlier this month that it will not put open-weight AI models through voluntary safety tests, according to two sources familiar with the discussions. In his statement, Zuckerberg also advocated for AI model distillation, or using a powerful AI system to train a smaller model. He said that Meta would implement a governance structure to give its independent directors the power to approve the safety criteria for releasing models. (Reporting by Ananya Palyekar and Shubham Kalia in Bengaluru; Editing by Mrigank Dhaniwala and Devika Syamnath)

Meta launches new AI model as Zuckerberg lays out vision for open-weight AI

Meta Platforms CEO Mark Zuckerberg called for lower U.S. barriers for open-source AI to better compete with Chinese rivals as the social media giant released a new open-weight model on Monday and said more would follow soon. The new model, Muse Glimmer, is smaller than leading AI models from rivals and is instead designed to run agentic tasks on a Mac or PC with a single graphics card, aiming to tap demand for AI systems that run directly on people's devices. "In the coming weeks, we are also going to open the weights for MuseSpark 1.2, our latest foundation model and one of the leading models in the world. And we've got even bigger models that are coming soon too," Zuckerberg said in a video post accompanying his 14-page essay titled "The Future is for Everyone" in which he championed spreading AI rather than leaving it in the hands of a few.

Zuckerberg's $145B Meta AI Bet Is Getting Serious - Meta Platforms (NASDAQ:META)

Zuckerberg Says AI Should Belong to Everyone. Meta Is Spending $145 Billion to Make It Happen. Mark Zuckerberg has a simple answer to one of the biggest questions in AI: Who should get superintelligence? Everyone. The vision comes with an enormous infrastructure bill. Meta -- which owns Facebook, Instagram and WhatsApp -- expects to spend $130 billion to $145 billion on capital expenditures in 2026. That includes investments in data centers and other infrastructure. The company spent $31.1 billion on capital expenditures in the second quarter alone. Not all of that spending is specifically for Zuckerberg's vision of personal superintelligence. But the scale of the investment shows how seriously Meta is preparing for an AI future in which increasingly powerful models become part of everyday life. Zuckerberg Wants AI in Everyone's Hands Zuckerberg's argument is broader than simply making another chatbot available. His central concern is that if increasingly powerful AI is controlled by only a small number of institutions, it could concentrate too much power in too few hands. Meta's strategy is to distribute that technology through products used by billions of people. That approach became more tangible Monday when Meta released Muse Glimmer, a smaller AI model designed to run on personal computers using a single graphics card. Zuckerberg also said a more advanced Muse Spark 1.2 model is coming soon. Getting there will not be cheap. The $145 Billion Question Zuckerberg is effectively betting that today's infrastructure spending will create tomorrow's AI platform. And Meta has an advantage that many AI rivals lack: distribution. Its Family of Apps reached 3.6 billion daily active people in June, giving Meta an enormous audience to which it can introduce AI products. That makes Zuckerberg's argument about access more than a philosophical statement. It is also a business strategy. Meta wants to build the models, spend heavily on the infrastructure behind them and put those models in front of billions of people. For META investors, the question is no longer whether Zuckerberg is willing to spend heavily on AI. He clearly is. The bigger question is whether making superintelligence affordable can generate enough value to justify the extraordinary cost of building it. But while Zuckerberg sees personal AI as a tool to boost careers, businesses, education and creative work, Meta's own upheaval highlights the darker side of the AI boom: tech companies are increasingly cutting jobs as AI takes on work once done by employees. In May, Meta laid off more than 8,000 workers, or about 10% of its workforce, underscoring how AI is reshaping the jobs it was supposed to help. Image via Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.

Meta launches new AI model as Zuckerberg champions open-weight push

The new model, Muse Glimmer, is much smaller than leading AI models from rivals and is instead designed for agentic tasks and can run on a Mac or PC with a single graphics card, aiming to tap demand for AI systems that run ⁠directly ⁠on people's devices. Meta CEO Mark Zuckerberg called for lower U.S. barriers for open-source AI models to better compete with Chinese rivals as the social media giant released a new open-weight model on Monday and said it plans to launch more such models soon. The new model, Muse Glimmer, is much smaller than leading AI models from rivals and is instead designed for agentic tasks and can run on a Mac or PC with a single graphics card, aiming to tap demand for AI systems that run ⁠directly ⁠on people's devices. Open-weight models are typically cheaper than leading models from so-called frontier labs such as OpenAI and Anthropic. They also come with publicly accessible core components for easy customization, unlike closed models that companies keep fully under their control. Meta's launch comes as the social media giant seeks to strengthen its position after forming a costly, new superintelligence team last year to propel itself back into the high-stakes AI race. Zuckerberg's statement also marks the latest show of support for open-weight AI, which is gaining traction as businesses grow wary of ballooning ⁠AI bills and worry about recent cybersecurity incidents involving models from Anthropic, OpenAI and Meta. Hugging Face, the AI coding collaboration site that was hacked by a rogue OpenAI model, said last month that ⁠it used a Chinese open-weight model to defend against the attack because closed-source models have restrictions on use for cybersecurity work. Shares of Meta, which have fallen about 10% so far this year, were up 1% in premarket trading on Monday. Policy rethink needed to propel open-weight Zuckerberg said in a statement that the U.S. needed to rethink policies if domestic firms were to lead in open-weight models. Chinese startups are leading the race for open-weight models, with Moonshot's Kimi K3, alongside Alibaba's Qwen3.8-Max and DeepSeek's V4-Flash, delivering performance that rivals top systems by U.S. AI labs. By contrast, the leading models of U.S. developers OpenAI, Anthropic and Alphabet's Google are closed source. "Foreign labs currently hold several advantages here since American labs have to comply with many additional restrictions on training data," Zuckerberg said, referring to open-source models. "U.S. ⁠policy must reduce this additional friction if we want American open source models to lead over time," Zuckerberg said, adding that restricting access to foreign open-source models was not an effective solution. U.S. President Donald Trump's administration told AI developers earlier this month that it will not put open-weight AI models through voluntary safety tests, according to two sources familiar with the discussions. In his statement, Zuckerberg also advocated for AI model distillation, or using a powerful AI system to train a smaller model. He said that Meta would implement a governance structure to give its independent directors the power to approve the safety criteria for releasing models.

Zuckerberg's Essay Says the Future of AI Is Personal Superintelligence | PYMNTS.com

In an essay titled "The Future is for Everyone" published Monday (Aug. 10), the Meta CEO argued that superintelligence should not sit inside a handful of labs, governments or companies. It should sit in everyone's hands, he wrote, deployed the way personal computers and the internet eventually were. The core claim is specific. Zuckerberg proposed "a philosophy based on individual empowerment as the source of prosperity, invention as the primary purpose of superintelligence, and balance of power as the foundation of safety." He is betting Meta's AI strategy on that framing. Invention Over Automation Is the Operating Thesis "Invention, not automation, will be the greatest contribution of superintelligence," Zuckerberg wrote. Early AI answered questions and handled routine tasks. He expects the next wave to discover new knowledge instead, from new drugs to new ways of running a business. That distinction shapes how he wants the technology distributed. "Rather than centralizing superintelligence, we should distribute it widely and give every person the ability to direct it," he wrote. Some in the industry argue that superintelligence itself, or a small set of experts who control it, should decide what's best for humanity. He disagreed, citing the history of democracy and economics as proof that no single actor can define the best life for everyone. He offered specific mechanisms. Meta plans a personal agent covering relationships, health, finances and hobbies, paired with a fully private mode the company says even it cannot access. It also plans a dynamic auction system for compute, designed to hold prices down while directing capacity toward whatever people value most. "My agent flags interesting information and helps me prototype ideas," Zuckerberg wrote, describing his own use of an early version. Zuckerberg's Safety Case Rests on Distributed Power Zuckerberg's safety argument breaks from how most labs talk about alignment. He said engineering a single benevolent superintelligence is the wrong target. Values differ too much across people for one system to serve everyone's interests at once. He illustrated the alternative with a thought experiment. If one person alone had a superintelligent lawyer, they would win cases regardless of merit, he wrote, calling that outcome a worse society. If everyone had one, "justice would be carried out much more fairly and efficiently than it is today." He applied the same logic to cybersecurity, arguing that widely distributed defensive tools would harden every system rather than concentrate power in whoever gets there first. He extended it to markets, warning that a single business holding superintelligence would out-compete everyone else and shrink the field of competitors. "There is no such thing as a singular benevolent superintelligence," he wrote. "Meta is the company primarily focused on building personal superintelligence for everyone," he added, arguing that most other labs build AI for companies, governments or institutions instead. What Comes Next for Companies and Governments Company sizes may shrink the way they did when industrial giants gave way to tech companies, Zuckerberg wrote, but that implies more companies with fewer people each, not fewer jobs overall. He expects small teams running personal superintelligence agents to operate at a scale that currently requires far more headcount. On security, he made his most specific policy ask. Zuckerberg proposed that "frontier AI labs should share intermediate training checkpoints of new models for government use and review rather than waiting until training has completed," giving government "early access to the most powerful models and an army of capable engineers to identify and patch security issues." He framed this to harden infrastructure without slowing releases or delaying public access.

Meta introduces Muse Glimmer 30B open-weight model for local agent workflows

Meta Superintelligence Labs has introduced Muse Glimmer, a 30-billion-parameter open-weight model designed for always-on local agent workflows. The model is released under the Apache 2.0 license and is designed to run on a Mac or PC with a single consumer GPU. Muse Glimmer is aimed at local agents, function calling, coding, and LLM-as-a-judge evaluation. It is designed for AI workflows that can run locally without depending on cloud infrastructure or network access. How Muse Glimmer was trained Agents that manage schedules, draft messages, organize files, and adapt to how users work require access to personal context. Meta designed Muse Glimmer to combine long-horizon execution, precise tool calling, multimodal understanding, long-context memory, and instruction following. The model was designed to balance these capabilities with the memory and compute constraints of local hardware. Meta used a compact architecture, a distillation approach that transfers agentic reasoning from a much larger teacher model, and inference optimizations including quantization. The training process was divided into three stages: * Pre-training: Muse Glimmer was trained on Muse Spark's outputs using logit distillation, with a similar data mix as the teacher. * Mid-training: The model was trained on longer-context and more agent-focused data with richer reasoning traces, along with organic data. * Post-training: Meta combined supervised fine-tuning with on-policy distillation and reinforcement learning across general, reasoning, coding, and agentic domains. Meta evaluated Muse Glimmer under the standards of its Advanced AI Scaling Framework and assessed it for open-weight release across the relevant categories. Built for agentic workflows Muse Glimmer is trained and evaluated across capabilities required for agentic tasks. These include: * End-to-end task completion: The model is evaluated on DeepSearch QA, MCP-Atlas, τ-Bench, and SWE-Bench. These benchmarks measure its ability to work within scaffolds, write and debug code, and resolve multi-turn requests from start to finish. * Tool use: It handles a range of function calls and invokes tools using precise schemas throughout extended workflows. * Multi-step reasoning: The model chains reasoning over long horizons and sustains plans across complex, extended workflows. * Failure recovery: When a tool call fails or produces an unexpected result, the model is trained to diagnose the error and retry rather than halt. * Multimodal input and reasoning: A dedicated perception encoder allows the model to accept interleaved text and images and interpret screenshots, charts, and documents alongside conversations. * Scaffold compatibility: Muse Glimmer works with OpenClaw and other agentic orchestration patterns. * Controllable effort: The model supports different reasoning strengths to select a balance between quality and speed. * Multilingual: Muse Glimmer is trained on data covering more than 100 languages. Performance Meta evaluated Muse Glimmer across a broad range of benchmarks covering the capabilities required for autonomous agent behavior. The model was compared with Gemma4-31B and Qwen3.6-27B and, according to Meta, performs strongly for its size class on several widely used LLM benchmarks. Optimized for local deployment At full precision, a 30-billion-parameter model would require more than 55GB of memory. Meta uses quantization to compress the model weights to approximately 4-bit precision, reducing the language model to under 20GB. This leaves enough memory for the model's KV cache, the perception encoder for image understanding, and the speculative decoding drafter to run simultaneously within a 24GB or 32GB memory configuration. Meta says it validated the compression with minimal to no degradation on agentic tasks. Faster generation through speculative decoding Muse Glimmer uses a lightweight drafter model based on DFlash. The small companion network proposes blocks of tokens at once, after which the main model verifies the proposals in parallel, accepting correct tokens and correcting incorrect ones. Meta says this allows Muse Glimmer to generate text significantly faster than standard token-by-token generation while producing identical output quality. Quantized versions of the drafter are included to reduce additional memory overhead. Meta measured the K-Quant-17GB model alongside the quantized DFlash drafter on the MacBook M4 Max, MacBook M5 Max, and NVIDIA RTX 5090. Meta says the model is fast enough for fluid conversation and real-time agent interaction while running entirely on the device. Availability and deployment Muse Glimmer is available now as open model weights through Hugging Face under the Apache 2.0 license. Meta has also released developer documentation and resources for building and running agents, including guidance for setting up custom scaffolds. The model can be used across several local, edge, serving, and AI platforms: * Local platforms: Ollama, LM Studio, and Unsloth * Edge frameworks: llama.cpp, ExecuTorch, and MLX * Serving frameworks: vLLM and SGLang * AI platforms: Together AI, Fireworks AI, and OpenRouter Integrations with llama.cpp, MLX, and ExecuTorch are expected in the coming days. Developers can also customize Muse Glimmer using PyTorch's TorchTitan training feature. Meta is working with AMD, Arm, Dell, Intel, and NVIDIA to optimize performance across devices. The company has also released resources through its AI Developer Center for developers working with the model.

Meta Debuts New AI Model as CEO Shares 'AI for Everyone' Vision | PYMNTS.com

Mark Zuckerberg published a 6,510-word essay Monday (Aug. 10) outlining a future where everyone has "free or affordable access" to what he calls Meta's superintelligence tools, including personal artificial intelligence (AI) agents. "For everyone to be part of the future, everyone must have the ability to use superintelligence to improve their lives and shape the world," Zuckerberg wrote. "We will offer free versions that will be accessible to billions of people." Sharing the technology that widely, Zuckerberg argued, will "check and balance the power of institutions," governments and businesses included. "Most other labs are focused on building AI for companies, governments, or other institutions. So if those labs lead, then the balance of power will favor larger institutions over individuals," Zuckerberg added. The essay also calls for deeper collaboration between AI labs and the government, letting the government examine AI models earlier in the development process. "This way, the government gains a security capability without restricting or delaying individuals' access to personal superintelligence or causing an imbalance of power," Zuckerberg wrote. Meanwhile, Meta is instituting a new governance system which gives its board the authority to establish safety criteria for AI models and determine if new models meet those standards. "I do not think it is in my, Meta's, or the world's best interests for me or anyone else to be a sole decision maker on how superintelligence is deployed," he wrote, adding that there should be "an industrywide version of this process." Also Monday, Meta debuted Muse Glimmer, the next model from its Meta Superintelligence Labs, saying it was open sourcing the model weights. "Muse Glimmer is a 30-billion-parameter model optimized for always-on local agent workflows," the company said in its announcement. "It's small enough to run on a Mac or PC with a single consumer GPU, enabling use cases that range from local agents and function calling, to local coding, and LLM-as-a-judge evaluation." Meta last week introduced the beta version of a terminal coding agent called Muse Code, powered by Muse Spark 1.2, a coding-focused model update. As PYMNTS noted at the time, the company has been facing pressure to show it can monetize AI tools such as its Muse Spark model and to provide meaningful growth to justify its enormous capital expenditures on AI.

Meta launches new AI in push for best open source model to beat China

Meta released a new artificial intelligence model Monday as CEO Mark Zuckerberg called on Washington to lower barriers for US open-source developers to help them beat Chinese rivals. The Meta chief warned that American AI companies face restrictions that give foreign competitors an advantage, arguing that US policy should aim to make American open-source models the best in the world. "It is also important that the US and its allies lead the open source AI ecosystem that will make up a large percent of global AI use," Zuckerberg wrote Monday in a sweeping manifesto titled "The Future is for Everyone: The Path to a Positive AI Future." "Foreign labs currently hold several advantages here since American labs have to comply with many additional restrictions on training data," he added. Chinese open-weight models have meanwhile been gaining traction among US businesses because they offer increasingly competitive performance at a fraction of the cost of some American rivals -- even as policymakers in Washington weigh new restrictions over national-security concerns. Models from Chinese firms including DeepSeek, Alibaba and Z.ai have emerged as formidable low-cost alternatives, with some US tech companies embracing Chinese models for their flexibility and cheaper computing costs. But Washington has moved to curb their use in government. DeepSeek is barred from US intelligence-community systems, while lawmakers have floated broader restrictions on Chinese AI models and officials are considering additional curbs on Chinese open-weight technology.

Meta launches new AI model as Zuckerberg champions open-weight push

Meta CEO Mark Zuckerberg called for lower U.S. barriers for open-source AI models to better compete with Chinese rivals as the social media giant released a new open-weight model on Monday and said it plans to launch more such models soon. The new model, Muse Glimmer, is much smaller than leading AI models from rivals and is instead designed for agentic tasks and can run on a Mac or PC with a single graphics card, aiming to tap demand for AI systems that run directly on people's devices. Open-weight models are typically cheaper than leading models from so-called frontier labs such as OpenAI and Anthropic. They also come with publicly accessible core components for easy customization, unlike closed models that companies keep fully under their control. Meta's launch comes as the social media giant seeks to strengthen its position after forming a costly, new superintelligence team last year to propel itself back into the high-stakes AI race. Zuckerberg's statement also marks the latest show of support for open-weight AI, which is gaining traction as businesses grow wary of ballooning AI bills and worry about recent cybersecurity incidents involving models from Anthropic, OpenAI and Meta. Hugging Face, the AI coding collaboration site that was hacked by a rogue OpenAI model, said last month that it used a Chinese open-weight model to defend against the attack because closed-source models have restrictions on use for cybersecurity work. Shares of Meta, which have fallen about 10% so far this year, were up 1% in premarket trading on Monday. POLICY RETHINK NEEDED TO PROPEL OPEN-WEIGHT Zuckerberg said in a statement that the U.S. needed to rethink policies if domestic firms were to lead in open-weight models. Chinese startups are leading the race for open-weight models, with Moonshot's Kimi K3, alongside Alibaba's Qwen3.8-Max and DeepSeek's V4-Flash, delivering performance that rivals top systems by U.S. AI labs. By contrast, the leading models of U.S. developers OpenAI, Anthropic and Alphabet's Google are closed source. "Foreign labs currently hold several advantages here since American labs have to comply with many additional restrictions on training data," Zuckerberg said, referring to open-source models. * S&P 500 market updates here "U.S. policy must reduce this additional friction if we want American open source models to lead over time," Zuckerberg said, adding that restricting access to foreign open-source models was not an effective solution. U.S. President Donald Trump's administration told AI developers earlier this month that it will not put open-weight AI models through voluntary safety tests, according to two sources familiar with the discussions. In his statement, Zuckerberg also advocated for AI model distillation, or using a powerful AI system to train a smaller model. He said that Meta would implement a governance structure to give its independent directors the power to approve the safety criteria for releasing models. (Reporting by Ananya Palyekar and Shubham Kalia in Bengaluru; Editing by Mrigank Dhaniwala and Devika Syamnath)

Meta shares rise on Muse Glimmer launch and a radical AI vision By Investing.com

Investing.com -- Meta's stock popped 2.4% this morning following the launch of Muse Glimmer, a highly efficient, 30-billion-parameter AI model capable of running on a single GPU. Positioned as a lightweight, distilled version of the more powerful Muse Spark 1.2, Glimmer is tailor-made for "agent-like" tasks -- think schedule management, rapid prototyping, and file organization. By releasing the model weights for free on Hugging Face, Meta is directly countering the permissive licensing strategies of Chinese rivals like DeepSeek and Alibaba, while carving out a distinct lane against US giants (Amazon, Alphabet, Microsoft) who are largely focused on enterprise and government AI. The launch coincides with a massive philosophical declaration from CEO Mark Zuckerberg, signaling a pivot from centralized AI toward democratized, "Personal Superintelligence." Deep Dive: Key Details Hidden in the Essay Zuckerberg's lengthy essay outlines several major corporate policy shifts, infrastructure plans, and regulatory proposals that are highly consequential for investors and the tech sector. Here are the most important details you need to know: 1. A Major Shift in AI Governance Meta is stepping away from sole founder-control over AI safety. Zuckerberg announced that Meta is empowering its independent board of directors to approve safety criteria for model releases and review compliance. He is actively urging other frontier AI labs to adopt similar industry-wide oversight to avoid a single CEO having absolute authority. 2. A New Compromise for Government & National Security To balance the rapid release of open-source models with national security, Zuckerberg proposed a new framework: rather than delaying public releases for government review, Meta will share intermediate training checkpoints and technical staff with the US government before a model is finished. This allows the government to harden critical infrastructure early without throttling consumer access. 3. "Meta Superintelligence Labs" is Resuming Open-Source Releases Zuckerberg confirmed that the newly established "Meta Superintelligence Labs" are fully operational and that Meta will "resume releasing some open source models soon." He also fiercely defended "distillation" (AI models learning from other models) as a necessary practice for US competitiveness. 4. A New Cloud Business with "Dynamic Auctions" While Meta plans to offer free AI access to billions, it is officially standing up a cloud infrastructure business for heavy users. To price this, Meta will implement a dynamic auction mechanism for compute power, designed to guarantee users the lowest possible price based on real-time capacity and collective demand. 5. WhatsApp-Style Encryption for AI Agents Addressing privacy and government surveillance, Meta is building a "fully private mode" for its personal AI agents. Similar to WhatsApp's end-to-end encryption, this ensures that not even Meta (or the government) can access the data, tasks, or interactions handled by the user's agent. 6. Massive "Community Compacts" for Data Centers To overcome the massive friction of building AI infrastructure in the US, Meta is launching aggressive local incentive programs: * The Future Is For Everyone Fund: Direct financial injections into local communities (e.g., funding $50,000 bonuses for teachers in Richland Parish, Louisiana, where a data center is being built). * America's Workforce Academy: Free training and guaranteed high-paying jobs for skilled tradespeople (electricians, carpenters) to build out the physical grid. * Water & Energy Pledges: Meta aims to be 200% water-positive in highly stressed areas by 2030, and claims it is building its own energy-generating infrastructure that sometimes supplies surplus low-cost energy back to the local grid. 7. The "Balance of Power" Theory Zuckerberg's core argument against the prevailing "AI doom" narrative is that safety doesn't come from restricting AI, but from heavily proliferating it. He argues that giving everyone a superintelligent lawyer, cybersecurity agent, or business advisor creates a natural system of checks and balances -- preventing any single corporation, government, or AI from achieving tyrannical dominance.

Meta launches Muse Glimmer, a 30B AI model designed for local AI agents

Muse Glimmer supports coding, tool use, multimodal inputs and long-horizon tasks, with weights released under the Apache 2.0 licence. Meta has introduced Muse Glimmer, a 30-billion-parameter AI model designed to run AI agents locally on consumer hardware. Mark Zuckerberg's company is releasing the model weights under the Apache 2.0 licence allowing developers to download, modify and deploy the model for their own applications. It is aimed at tasks such as coding, function calling, tool use and multi-step agent workflows. Meta says it can run on a Mac or PC with a single consumer GPU, reducing the need for cloud-based infrastructure or a constant internet connection. Muse Glimmer is for agentic AI Meta says Muse Glimmer has been trained to handle longer workflows, including tool calls, reasoning, coding and failure recovery. The model can identify failed tool calls and attempt to correct them instead of stopping the task. It also supports the multimodal inputs allowing agents to work with text and images such as screenshots, charts and documents. The model has been trained using data from more than 100 languages. Also read: Amazon Great Freedom Sale 2026: Best smartphone deals for under Rs 50,000 Meta used outputs from its larger Muse Spark model during pre-training through logit distillation. The company then added longer-context and agent-focused training, followed by supervised fine-tuning, reinforcement learning and further distillation across reasoning, coding and agentic tasks. Quantisation brings the model below 20GB To run a 30B model at full precision would require more than 55GB of memory, according to Meta. The company has therefore used quantisation to reduce the model to under 20GB at roughly 4-bit precision. This allows it to operate within systems offering 24GB or 32GB of memory while leaving room for its working memory and image-processing components. Meta is also using speculative decoding to improve response speeds. A smaller companion model proposes groups of tokens, which Muse Glimmer then verifies. Meta says this increased decoding speed by up to 3.1 times on an Nvidia RTX 5090, 1.8 times on an M5 Max and 1.5 times on an M4 Max. Muse Glimmer is available through Hugging Face. Support for platforms and frameworks including Ollama, LM Studio, llama.cpp, MLX and ExecuTorch is expected to follow.