@finkd
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
It's been just over a year since we started Meta Superintelligence Labs. Muse Spark was our first family of models, and now Muse Wonder is a much larger and more advanced class of models that brings us to the frontier. We're releasing two models today. Muse Wonder for fast frontier performance and Muse Wonder Full for the full version of the model.
Muse ordered me 🍉 how thoughtful!
I think it's a significant positive step that the leaders of every major American lab have committed to implementing robust internal controls and multiple layers of audits and reviews. This should give people more confidence that the technology each lab is building will work as intended.
David Sacks@DavidSacks·Only President Trump could convene all the leaders of the top companies developing chips, data centers and frontier models for Super Intelligence. This new Industrial Revolution has already created a million new jobs and is spurring a bigger infrastructure build-out than the railroads, canals and grid combined. I was honored to witness history as the leaders of the frontier lab companies signed the White House Accord on Super Intelligence, accepting responsibility for the safe development of their products and imposing new internal controls and external audits. This is far better than waiting years for some international agreement that would probably never happen. President Trump continues to ensure that U.S. remains the technology leader while putting Americans first.
We believe superintelligence will create significant new opportunities for all people and businesses. Meta already serves billions of people at scale and helps hundreds of millions of businesses reach customers. Today we are starting the next major pillar of our business, Meta Enterprise Platform, to help businesses use AI to grow and transform in new ways as well.
Meta Enterprise Platform will use our strengths that few other companies have: advanced models, leading agents, large-scale infrastructure, and years of working closely with many businesses. Initially, we will focus on bringing our full technology stack, including the Muse agent, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers to help them grow.
Here's everything I announced at Meta Connect today 👇
Muse, your personal agent, now has voice and real-time video. You can have long conversations and Muse will work in the background and get things done for you as you're talking. We're also bringing Muse to glasses so you can talk hands-free throughout the day.
Lots of announcements coming today at Meta Connect. Tune in at 4pm PT: facebook.com/share/v/1anAaD…
Teaming up with Shopify to make shopping and checkout easier in Muse. Shoppers find more. Shops sell more. More partnerships like this coming soon.
tobi lutke@tobi·We are excited to announce we are partnering deeply with Muse to enable agentic checkout with Shop Pay on all Shopify stores, offering people an easy and delightful way to shop and check out with Muse.
Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there. New connectors are live today. Come build with us. t.co/o6oTf1Sj9y
Muse for Mac is out today! It works across apps, files, calendar, notes, and messages on your computer. You control what it can access. The team is shipping fast. Download at ai.meta.com/muse/download
Last month I wrote about how we can build a positive and safe future for everyone: t.co/eoLGVY8yad Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens. The reality is: - People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned. There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind. - Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well. Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built. - Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators. - Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well. I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.
Introducing Muse, the personal agent that understands your goals and works 24/7 to get things done for you.
Muse is built from the ground up for privacy and security. Your data and credentials live on the Muse Secure VM -- an isolated linux computer with a browser, CPU, memory, and storage.
Introducing @museband, the personal agent that understands your goals and works 24/7 to get things done for you.
Muse is built from the ground up for privacy and security. Your data and credentials live on the Muse Secure VM -- an isolated linux computer with a browser, CPU, memory, and storage.
Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API. Next up 🍉 and Muse Spark open weights releases coming soon.
Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model.
The model decides when to listen. It waits a little longer on hard words and commits faster on easy ones, using adaptive delay to predict each token and increase accuracy. With adaptive delay, the model is near the pareto front on speed-accuracy tradeoff.
Muse Code is out of beta and now built to handle bigger, more complex engineering tasks. Developers can get started with one command today: curl -fsSL dev.meta.ai/install.sh | bash
Sessions can share context with inter-session messaging. When two are working on things that affect each other, they share state directly, instead of the developer copying it over manually.
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 to @alexandr_wang and the MSL team for all your great work on these models.
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. meta.com/thefutureisfor…
Releasing Muse Code in beta today. It's a terminal coding agent that takes on complete software engineering tasks across large repos: planning changes, writing code, validating the results. Powered by Muse Spark 1.2, a coding-focused model update.
Muse Code runs specialized background agents that stay active your whole session, so they build up context over time instead of starting from scratch on every task. When a job is big enough, it fans out to separate sub-agents working in parallel in isolated worktrees. Your working copy is never touched. In testing we had it build six features for a game simultaneously with no collisions.
I wrote about why we believe the future is for everyone. More coming about a positive vision for a world with superintelligence soon.
Give it a read: wsj.com/opinion/the-ai…
Open source is a positive and important force for both empowering people and preventing centralization. Proud to support this. x.com/satyanadella/s…
A lot of people asked for this, so Muse Spark 1.1 is now on OpenRouter. x.com/MetaforDevs/st…
(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.
(2) Muse Spark 1.1 is strongest at agentic performance, tool use, and computer use. It does well on long-running tasks with 1M token context window, can delegate execution to sub-agents running in parallel, and is trained to use computer interfaces on desktop, mobile, or browser.
Tell your congressmen you want them to be pro-internet. My Facebook post is here: facebook.com/zuck/posts/101…
Also just created a public page on FB: www.facebook.com/markzuckerberg
Excited about rolling out the new real-time stream home page to all FB. To everyone who has written in asking for it, you'll have it soon!
I find it funny that it's on Digg that I'm here. I'm looking forward to when people can have unlimited connections on Facebook soon!
