Reuters reports that Meta plans to start collecting U.S.-based employees' mouse movements, clicks, keystrokes, and occasional screen snapshots to train AI agents that can better learn how humans use computers. The tool, called Model Capability Initiative (MCI), will reportedly "not be used for performance assessments or any other purpose besides model training and that safeguards were in place to protect 'sensitive content.'" From the report: Meta CTO Andrew Bosworth told employees in a separate memo shared on Monday that the company would step up internal data collection as part of those "AI for Work" efforts, now re-branded as Agent Transformation Accelerator (ATA). "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," Bosworth said. The aim, he added, was for agents to "automatically see where we felt the need to intervene so they can be better next time." Bosworth did not explicitly spell out how those agents would be trained, but said Meta would be "rigorous" about "building up data and evals for all the types of interactions we have as we go about our work." Meta spokesperson Andy Stone acknowledged that the MCI data would be among the inputs. [...] "If we're building agents to help people complete everyday tasks using computers, our models need real examples of how people "actually use them -- things like mouse movements, clicking buttons, and navigating dropdown menus," said Stone.

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Meta has launched Muse Spark, its first major AI model under Alexandr Wang's leadership. The model was built over the past nine months and is being positioned as a significant step up from Llama 4. Axios reports: Muse Spark will power queries in the Meta AI app and Meta.ai website immediately, with plans to expand across Facebook, Instagram and WhatsApp. The model accepts voice, text and image inputs, but produces text-only output. [...] Meta plans to release a version of Muse Spark under an open-source license. The model uses a fast mode for casual queries and several reasoning modes. A "shopping mode" highlights how Meta hopes to differentiate itself. It combines large language models with data on user interests and behavior. Over time, the model will also power "features that cite recommendations and content people share across Instagram, Facebook, and Threads," Meta said in a blog post. Wang, the 29-year-old entrepreneur who co-founded Scale AI, joined Meta's "superintelligence" unit last year to help Meta catch up to rival models from OpenAI and Anthropic.

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