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Anthropic test puts self-replicating AI worms on the near-term security agenda

Anthropic researchers showed that an AI agent could spread across a deliberately simplified device network and that a 26-billion-parameter model could run across 15 low-cost Android TV boxes. The work does not demonstrate a rogue worm in the wild, but it identifies a narrowing gap between capable small models and weakly secured edge hardware.

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Illuminated server racks lining an aisle at the National Energy Research Scientific Computing Center

Google patent filing brings retrieval inside the language model

A newly published U.S. application describes a single AI architecture that generates text, signals when it needs evidence and retrieves documents without handing the task to a separately trained model. The filing claims lower latency and a smaller footprint, but supplies no benchmark results and has not been granted.

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Microsoft Azure Maia 300 prototype accelerator mounted on a blue circuit board

Microsoft makes Maia 300 the centrepiece of its AI inference push

Microsoft says its third-generation in-house accelerator will become the primary inference system for its products and services from 2027. Maia 300 combines TSMC N2P compute chiplets, HBM4 memory and rack-scale networking, but its efficiency lead remains a company claim without a named comparison system.

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