How a Little-Known Finnish Company Became One of the World's Hottest Gadget Startups
Oura’s smart ring measures heart health and can predict when you may be getting sick
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Mercor AI Data Breach: Supply Chain Attack via LiteLLM Package Compromise
The Mercor AI Data Breach: A Case Study in Supply Chain Vulnerability On March 24, 2026, Mercor AI, an AI-driven interview platform, suffered a significant data breach orchestrated by the hacking group Lapsus$. The attack exploited a compromised version of the LiteLLM package , a third-party language model library integrated into Mercor’s AI systems. This breach exposed approximately 4TB of sensitive data , including 211GB of candidate records , 939GB of source code , and 3TB of video interviews and identity documents . This incident starkly illustrates the systemic risks inherent in AI supply chains, where a single compromised component can trigger cascading failures, leading to massive data exposure and reputational damage. The Compromised LiteLLM Package: A Supply Chain Trojan The breac
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trunk/9589e5796da98dfff1519ebb0cd5be9794cf7302: Fix int64 indexing with >65k M/N size (#172925)
Summary Fixes: #171389 Interesting one; two bugs one for not using index dtype and another where M*N overflows and the the early return kicks us out before doing any work Pull Request resolved: #172925 Approved by: https://github.com/eellison
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