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Whistle-Blower Sues Meta Over Claims of WhatsApp Security Flaws

2 months ago
The former head of security for WhatsApp filed a lawsuit on Monday accusing Meta of ignoring major security and privacy flaws that put billions of the messaging app's users at risk, the latest in a string of whistle-blower allegations against the social media giant. The New York Times: In the lawsuit filed in the U.S. District Court of the District of Northern California, Attaullah Baig claimed that thousands of WhatsApp and Meta employees could gain access to sensitive user data including profile pictures, location, group memberships and contact lists. Meta, which owns WhatsApp, also failed to adequately address the hacking of more than 100,000 accounts each day and rejected his proposals for security fixes, according to the lawsuit. Mr. Baig tried to warn Meta's top leaders, including its chief executive, Mark Zuckerberg, that users were being harmed by the security weaknesses, according to the lawsuit. In response, his managers retaliated and fired him in February, he claims. Mr. Baig, who is represented by the whistle-blower organization Psst.org and the law firm Schonbrun, Seplow, Harris, Hoffman & Zeldes, argued in the suit that the actions violated a privacy settlement Meta reached with the Federal Trade Commission in 2019, as well as securities laws that require companies to disclose risks to shareholders.

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Mathematicians Find GPT-5 Makes Critical Errors in Original Proof Generation

2 months ago
University of Luxembourg mathematicians tested whether GPT-5 could extend a qualitative fourth-moment theorem to include explicit convergence rates, a previously unaddressed problem in the Malliavin-Stein framework. The September 2025 experiment, prompted by claims GPT-5 solved a convex optimization problem, revealed the AI made critical errors requiring constant human correction. GPT-5 overlooked an essential covariance property easily deducible from provided documents. The researchers compared the experience to working with a junior assistant needing careful verification. They warned AI reliance during doctoral training risks students losing opportunities to develop fundamental mathematical skills through mistakes and exploration.

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