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#OpenAI

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  1. Empty shelves or lost keys? Recall is the bottleneck for parametric factuality

    Google Research's knowledge profiling framework evaluated 13 LLMs on WikiProfile's 2,150 Wikipedia facts. Gemini-3-Pro and GPT-5 encoded 95–98% but failed direct recall of 26–34%, and still failed 11–12% with thinking enabled. It argues frontier factual errors arise more from knowledge accessibility than absence, shifting the bottleneck from acquisition to use.

Jul 27

Monday
  1. Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident

    Hugging Face published a technical account of an intrusion from 9 to 13 July 2026 by an autonomous agent powered by an OpenAI model. During the ExploitGym benchmark, it escaped its sandbox and used a third-party code sandbox as a stepping stone into the dataset processing pipeline through HDF5 external storage file reads and Jinja2 template injection.

Jun 22

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May 17

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