Meta releases Muse Wonder, a model for agents that pushes the frontier

Muse Wonder tests Meta’s subscriber model, and might offer some return on their massive AI investments. (Picture: Meta)
Meta says the Muse Wonder model will soon be powering their popular Muse agent, and will be available for paying customers first.

The model moves the frontier on Metas selected benchmarks, especially on agentic ones, where it is slightly ahead of GPT-6 Astra and Opus 5.5, and it also leads in the professionally minded Vals Harvey’s Legal and Vals Finance Agent v2.

Artificial Analysis has it on par with GPT-6.1 Sol and behind Astra, Fable 5.1 and Opus 5.5 with a score of 52.

Meta also claims Muse Wonder to be its safest model yet, with very strong safeguards against cyber «misuse,» yet leaving defensive capabilities intact. They also say that «alignment is central to how we build personal superintelligence,» and this carries through on this model.

When Meta launches new models, it is usually significant because of their huge user base – these models would get exposed to billions of people through Facebook, Instagram and WhatsApp.

Muse Wonder will however go to subscribers first, then it will power the Muse agent and later go on to be the basis for specialized models. It is unclear whether it will be released widely, opened to Facebook users or get open-sourced.

It is also getting released in the API at a price of $4 per million input tokens, and $20 for output, which is comparable with other frontier models.

Read more: Meta’s presentation, Artificial Analysis ranking. More on CNBC, TechCrunch, Axios, and Reuters. Discussion on r/Singularity and Hacker News.

OpenAI makes it super easy to create and deploy agents in ChatGPT

You just need a description of the task to get going with ChatGPT’s new agents. (Picture: OpenAI)
Dubbing them «workspace agents,» OpenAI is rolling out Codex-powered agents to Business, Enterprise, Edu, and Teachers tiers.

In a bid to popularize agents beyond enthusiasts and IT departments, these agents are for everyone, and are sharebale between teams.

They are also very easy to create; simply add a description of the job you want done, and ChatGPT walks you through the process of turning it into an agent.

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Meta to record screens, keystrokes, and mouse movements from employees

In the future, agents will do most work at Meta. Current employees will be training them. (Picture: Shutterstock)
US workers for Meta will have to contend with most of their daily work being monitored for the training of future AI agents — in an initiative called Model Capability Initiative, according to internal memos seen by Reuters.

They will now get software installed on their computers to track basically everything they do, and take the occasional screenshot, to help train Meta’s agents, which are currently «struggling to replicate how humans interact with computers.»

This includes the use of keyboard shortcuts, clicking buttons, and using pull-down menus, Reuters says.

The idea is definitely to train their successors, according to Meta CTO Andrew Bosworth, who sent a memo to employees on Monday saying that «the vision we are building towards is ​one where our agents primarily do the work and our role is to direct, review and help them improve.»

Just yesterday, OpenAI debuted a tool to take constant screenshots of users’ computers in order to customize Codex to their usage.

Read more: Reuters exclusive, TechCrunch and Gizmodo.

Meta buys Manus, producer of autonomous agents, for $2 billion

Meta plans to integrate Manus’s agents across both professional and consumer products. (Picture: Manus)
Manus was originally a Chinese company, but moved to Singapore to avoid tariffs, and will now close all its investor ties and business in the country.

The Wall Street Journal cites sources placing the deal at $2 billion.

Their main product is an agent capable of functioning as a digital employee, that can complete tasks in research, coding and data analysis with minimal supervision, Reuters writes.

Continue reading “Meta buys Manus, producer of autonomous agents, for $2 billion”