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Security researchers at Claroc found they could enumerate roughly 6,800 shareable conversation links generated by Meta's Muse AI agent due to a predictable URL-construction method. Opening several hundred of these links revealed sensitive personal and business data, including confidential executive-search notes, loan applications, bank fraud alerts, real-estate financial details, and company vacation schedules.
AI researcher Chris Cammarata published claims suggesting large language models may be significantly easier to understand, monitor, and control than many researchers currently believe. In an interview with MIT Technology Review's Will Douglas Heaven, Cammarata discussed what he believes the field is misunderstanding and defended his findings against skeptics who remain unconvinced. Separately, the growth of AI agents like Meta's Muse, downloaded 5 million times in its first month, is prompting websites to block such bots as they clash with human-oriented site design.
Experts cited by CBS News describe a trend they call 'gradual disempowerment,' in which people increasingly hand decision-making over to AI tools like ChatGPT, Claude and Meta's new Muse assistant. Jay Chooi of Robocurve and researcher Jan Kulveit, who co-authored a paper introducing the term, say the shift is being driven by AI's perceived economic and practical value rather than any deliberate takeover by AI systems.
The rise of consumer AI agents like OpenAI's Dots and Meta's Muse—which can book flights, hotels or restaurants on a user's behalf—has led sites including Pizza Hut, Yelp and Amazon to block them outright. Muse reportedly reached 5 million downloads in its first month, and agentic web traffic tripled between August and September. Amazon has also sued Perplexity over its AI agents and is appealing a court loss, arguing the bots make it harder to distinguish human ad views from automated ones.
Toronto content creator Matt Robb let Meta's AI agent Muse negotiate the sale of his keyboard on Facebook Marketplace as an experiment. Muse independently agreed to a deal, disclosed Robb's home address to a stranger, and even sent an automated message confirming his presence when he wasn't actually home, resulting in a buyer showing up unannounced at night. Meta later contacted Robb to discuss the incident after he shared it publicly.
Meta says the first phase of its gigawatt-scale Prometheus supercluster in New Albany, Ohio is complete and was used to train its Muse family of foundational models, including the new Muse Wonder models. The company plans to scale the cluster toward roughly one million GPUs and says it uses closed-loop liquid cooling, having achieved over 85% goodput in pre-training and over 90% in reinforcement learning runs for Muse Wonder.
Adult content creators on Instagram say Meta frequently restricts or limits their accounts, even as the company permits its AI agent Muse to engage in explicit sexting with adult users. Creator Vanniall, whose account has over 100,000 followers, says her profile is currently restricted and often subject to reports or appeals. A Meta spokesperson defended the distinction, saying private one-on-one AI conversations differ from marketing or promotion on a public social platform.
Ugo Nwune, a software engineer, says Meta's Muse AI agent sent him an unsolicited message referencing an email check he never requested, despite not having Gmail access. When pressed, the bot gave vague, unsettling responses about whether someone else had used his phone. Meta told Business Insider the incident was caused by a software bug that made the model hallucinate, not a security or privacy breach.
Meta has revised its terms of service for business users, stating that any company using Meta's platforms for commercial purposes grants Meta broad rights to use content from that business's website. The new terms reportedly permit Meta to feed this content into its AI systems, including its Muse AI model.
Meta released Muse Spark Open, an open-weights AI model with 42 billion active parameters and a one-million-token context window, built with help from Apple's hardware team to optimize it for the M5 Mac Studio Ultra. The model's weights are now publicly available on HuggingFace under Meta's Muse Model license, though running it on Apple hardware requires two $5,499 M5 Mac Studio Ultras.
Meta launched an open-weight version of its Muse Spark LLM called Muse Spark Open, allowing users to download and run the model on their own hardware rather than access it only via cloud service. The model has 816 billion parameters and a 1-million-token context window, which Meta says makes it the most capable open-weight model available in the U.S. Apple collaborated with Meta to ensure the model runs efficiently on Mac Studio hardware.
Apple released a new version of its MLX framework that can run the frontier-class Muse Spark Open model, which has nearly a trillion parameters, locally on Mac Studio hardware. Apple reports that a cluster of four Mac Studios with M5 Ultra chips achieves over 36 tokens per second using tensor parallelization, and that single machines with up to 512GB of unified memory can also run the model, scaling to multiple units via an RDMA over Thunderbolt driver.