
The company asked its AI models to figure out what the device was. OpenAI says it found a ‘sophisticated recording device’ hidden in its offices. Per the San Francisco Standard, Abdulrahman Alfozan, a 35-year-old engineer who had been with the company since July 2025, has been accused of attempting to record oral conversations between OpenAI employees.
Alfozan allegedly left a DIY recording device inside of an executive conference room he wasn’t authorized to enter or use. We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier.
We referred the matter to the FBI, and we’re… โ OpenAI Newsroom (@OpenAINewsroom) October 13, 2026 According to the complaint the San Francisco Standard saw, prosecutors said meetings inside the room often involved confidential information, including details related to the company’s product roadmap, research and government engagement. OpenAI found the device on September 30 plugged into a USB port on the back of a TV.
Meta started a ground-up overhaul of its AI efforts 14 months ago, and the first result was Muse Spark, which the company used to lay out its approach to "predictable, rigorous scaling". Now, Meta has taken what it calls "the next step" on its "scaling ladder" with the Muse Wonder series, made up of Muse Wonder and Muse Wonder Full.
Meta says these are its most capable models, delivering "modern performance on personal and professional agentic tasks". They were trained at the company’s gigawatt-scale Prometheus data center, and they accept text, image, video, and audio as input…
Meta launches Muse Wonder and Muse Wonder Full, its most capable AI models yet. Meta launches Muse Wonder and Muse Wonder Full, its most capable AI models yet – com news ADVERTISEMENT Meta launches Muse Wonder and Muse Wonder Full, its most capable AI models yet Post your comment Comments (7) Vlad 13 October 2026 Meta AI Announcement Meta started a ground-up overhaul of its AI efforts 14 months ago, and the first result was Muse Spark, which the company used to lay out its approach to "predictable, rigorous scaling".
Meta Muse Wonder benchmark comparison with its leading competitors The headline features are Active Memory and Active Focus. The former carries important context about you across conversations and retrieves the details relevant to the task at hand.
The latter describes how the model keeps working toward a difficult goal – trying alternative approaches, working through blockers, and checking in with you before taking important actions. Meta also highlights domain expertise in law, finance, and health, as well as "frontier coding" performance for projects ranging from small apps to complex software.
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