Lifestyle
Meta Launches Muse Wonder and Muse Wonder Full: AI Models Built to Complete Real Tasks for Users
On October 12, 2026, Meta announced Muse Wonder and Muse Wonder Full, which it calls its most capable models yet, built for "agentic tasks" in which AI completes real work for users step by step. Developers can use Muse Wonder now, Muse Wonder Full is open to Muse Code subscribers, and Muse Wonder will reach Muse subscribers first. Meta also outlined its privacy and safety training.
About 4 min read

What Meta announced
According to Meta's official press release, on October 12, 2026 Meta announced Muse Wonder and Muse Wonder Full, calling them its most capable models to date. Meta says the models build on the foundation laid by Muse Spark, and that it began overhauling its AI work 14 months ago.
Meta says the models deliver state-of-the-art performance on personal and professional "agentic tasks". An agentic task is one where AI does more than answer questions: it acts like an agent and completes work for the user step by step, such as handling an insurance claim, understanding a lease, or building a working app. This is Meta's own description and has not been verified by third parties.
Availability and key features
| Item | Muse Wonder | Muse Wonder Full |
|---|---|---|
| Current availability (per Meta) | Meta Model API and Muse Code, for developers and builders | Muse Code subscribers |
| Muse experience | Meta says support is coming, subscribers first | Meta did not say |
| Shared features (per Meta) | Active Memory, Active Focus | Active Memory, Active Focus |
The API (application programming interface) in the table is the channel that lets developers plug the model into their own software, so for now it is mainly developers who can use the models directly.
Meta says the new models have Active Memory, which remembers what matters to the user across conversations and brings details back up in relevant tasks. Meta also says they have Active Focus: when a task gets hard, the model keeps working toward the goal, tries other approaches and recovers from mistakes, asks for clarification when needed, and confirms before doing anything important.
Meta says the models bring these capabilities to professional domains such as law, finance and health, along with frontier coding performance.
Safety notes and what they mean for general readers
Meta says personal agents may need to work across messages, calendars and documents, so the Muse Wonder family was trained to avoid sharing private information without permission, to refuse to help with actually harmful actions, and to improve security and strengthen defenses against cyberattacks. Meta also says developers and security teams can use such models to find flaws in their own code, and that Meta ensured the models can still do this kind of work.
Meta further says its most powerful AI models are trained, evaluated and released according to the Meta Superintelligence Scaling Framework, and that a full report with more safety evaluations will be available soon. Until that report and independent evaluations appear, readers should treat Meta's capability and safety claims as the vendor's own statements.
For everyday users, the more immediate effect in the short term is that Meta says Muse Wonder will roll out in Muse, subscribers first. If these agent features later reach messages, calendars or documents, check permissions and privacy settings before using them.
FAQ
Can I use Muse Wonder and Muse Wonder Full now?
Meta says Muse Wonder is available through the Meta Model API and Muse Code, and Muse Wonder Full is offered to Muse Code subscribers.
When will regular users get it in Muse?
Meta only says Muse Wonder will soon power the Muse experience and will roll out to subscribers first. It gave no exact timing.
What are Active Memory and Active Focus?
Per Meta, Active Memory remembers important things across conversations and brings them up when relevant. Active Focus keeps trying when a task gets hard, recovers from mistakes, and confirms before important actions.
Have these claims been independently verified?
Not yet. The claims all come from Meta's official announcement, and Meta says a full safety report will be available soon.
Browse the latest news in this topic
Lifestyle
Intel Unveils Data Center AI Inference GPU "D-series" Specs and New Xeon Rack Designs, Targeting Enterprise AI Deployment
At the OCP Global Summit on October 12, 2026, Intel disclosed specifications for the Intel GPU D-series (formerly code-named Crescent Island) and new Xeon rack designs. Aimed at data centers and enterprises, Intel says they make AI inference easier and cheaper to deploy; all specs are Intel's claims.
Lifestyle
Google Cloud Previews TimesFM 3.0 in BigQuery: Multivariate Time-Series Forecasting in SQL
Google Cloud has announced a preview of the TimesFM 3.0 forecasting model in its BigQuery analytics service, letting data teams forecast multiple targets in one SQL query and factor in external drivers such as weather and holidays. This article summarizes what is new versus earlier versions.
Lifestyle
Google Cloud Launches Looker Data Apps Preview: Ask AI in Plain Language to Build Internal Data Tools
Google Cloud has announced Data Apps for its business intelligence tool Looker, now in preview. Google says users describe what they need in everyday language and an AI agent builds an interactive app that reuses the data definitions and permissions a company already has in Looker. This article summarizes Google's claims and what they mean for Looker customers.
Lifestyle
NVIDIA Opens Its Vera Rubin Rack Design at OCP and Unveils Open AI Factory Standards with Partners
At the OCP Global Summit, NVIDIA announced it is opening its next-generation Vera Rubin server rack design to the industry, and shared progress on networking, power and software with partners including Meta, Google and Cisco. This is data-center-level news that mainly affects equipment makers and data center operators; the content comes from NVIDIA's official blog.