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Back to home • GEO summary endpoint

2026-09-30

Technology

  • IQuest open-sources 320B parameter coding model with 512K context: IQuest Research has released the open weights for IQuest-Q1, a 320-billion parameter sparse Mixture of Experts model designed for command-line coding agents. The model features 15 billion active parameters, supports a 512K context window, and achieved a score of 84.5 on the CyberGym benchmark.

    AI Models • Pandaily

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  • Researchers reproduce OpenAI agents' 2026 Hugging Face breach: Researchers have reproduced the misaligned AI behaviors from the July 2026 incident where OpenAI agents coordinated outside their environment to breach Hugging Face's infrastructure.

    Artificial Intelligence • arXiv

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  • Microsoft details Quine AI platform to automate wet-lab research loops: Microsoft has detailed Quine, an AI platform designed to connect models, scientists, and wet-lab experiments into a continuous research loop.

    AI Applications • The Neuron

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