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Sure, Meta’s AI Muse works, but it sure creeps me out
Hands-on review finds Meta's Muse AI agent completes shopping and email tasks but surfaces personal Instagram API data beyond user-visible ad-topic settings.
Meta launched Muse, its first agentic AI productivity assistant, which performs tasks like shopping, email management, trip planning, media generation, and creating webpages or documents via a cloud-based virtual computer. The Verge's hands-on found it successfully deleted thousands of promotional emails and completed an Amazon purchase, but it also revealed detailed personal interests inferred from Instagram and Facebook account API data that is not visible in the apps' ad-topic settings. Meta says Muse only exchanges data needed for third-party integrations and does not share information with advertisers; the reviewer frames privacy unease as the main adoption hurdle.
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Meta Launches Personal AI Agent, Muse, Emphasizes Safety and Privacy
Meta launches Muse, a personal AI agent for US adults that executes tasks like emailing, travel booking, and turning long-term goals into plans.
Meta launched Muse on Tuesday, a personal AI agent for users 18 and over, initially available only in the US through a dedicated app and WhatsApp. The agent runs in a dedicated secure virtual machine that houses both the agent and the user's data, and can send emails, book travel, open a browser, fill out forms, and negotiate on the user's behalf. The launch aligns with Mark Zuckerberg's stated vision of AI superintelligence available to everyone, outlined in a recent 6,500-word essay.
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Risky Bulletin: Two TeamPCP members arrested in Australia
Australian Federal Police arrested two alleged TeamPCP members behind supply-chain worm attacks that stole over 500,000 credentials from compromised open-source libraries.
The AFP arrested alleged TeamPCP leader Ruben Thomson, 21, and Louis Gaebler, 23, near Perth; both were charged and remain in custody. The group inserted a self-spreading credential-stealing worm into open-source projects including Trivy, KICS, LiteLLM, and Telnyx, harvesting more than 500,000 credentials used for network access, ransomware, extortion, and sales. About 78,000 tokens and secrets from nearly 2,200 organizations leaked online last month, and the FBI supported the investigation that began in April.
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Closed-Loop Cooling Explained: The Plumbing Behind Meta’s AI
Meta engineer Tom Shaw explains the closed-loop liquid cooling systems that power Meta's AI data centers more efficiently.
Meta published an explainer describing its use of closed-loop liquid cooling to support AI workloads. The post, authored by Tom Shaw, frames the plumbing and thermal design as key to running AI infrastructure efficiently. The content is primarily corporate/infrastructure marketing rather than a security or product announcement.
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