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4 stories found

A Chinese open model exposed a blind spot in AI cyber defense

Hugging Face used Z.ai’s open-weight GLM 5.2 on its own infrastructure to investigate the breach caused by OpenAI’s cyber-testing agents after hosted frontier systems rejected requests containing real exploit payloads and command-and-control artifacts. The response exposed two access asymmetries at once: offensive models can be tested with reduced refusals, while defenders may be blocked by general-purpose safety filters; and a self-hosted model can keep sensitive forensic data inside the affected organization.

Jul 24, 20263 min

Technical failuresUnited States+4 clusters02

Warren letter on DoD military AI contracts

Sen. Elizabeth Warren pressed the Department of Defense and frontier-AI vendors to disclose military AI contract terms, citing concerns about autonomous weapons, mass surveillance, civilian harm, and the lack of public information on guardrails.

Jul 7, 20262 min

SecurityGlobal03

AWS, “How Amazon Bedrock catches AI-generated phishing”

AWS describes AI-generated phishing as a shift away from typo-filled mass spam toward grammatically perfect, context-aware, personalized messages built with generative AI and open-source intelligence. The post says traditional phishing indicators are increasingly weak because the signal is no longer how the message looks, but what it knows about the target.

Jul 2, 20262 min

Work & marketsUnited States+4 clusters04

NIST, “2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing”

NIST’s roadmap surveys AI/ML applications across industrial analytics, sensing, autonomous systems, additive and laser-based manufacturing, digital twins, robotics, supply-chain/logistics, and sustainable manufacturing, while stressing deployment challenges around industrial big data, interoperability, heterogeneous sensors and control systems, explainability, reliability, safety, and high-stakes operation. The paper’s value is that it treats AI impact as a standards-and-infrastructure problem: the productivity promise depends on data-centric metrology, interoperable systems, safety guardrails, and reliable deployment in physical production environments, not only better models.

Jul 6, 20262 min