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The latest Zhipu AI news, : Coding agent harnesses triple token costs without boosting benchmark scores, study finds.

4 stories mentioning Zhipu AI since 28 September 2026, newest first, each with its sources and discussion. Follow to see new ones on your front page.

  1. Research new

    Coding agent harnesses triple token costs without boosting benchmark scores, study finds

    Complex harnesses for coding agents inflate token bills by up to three times while barely improving benchmark performance over minimal setups, according to a study by researchers Liu and Han at Shandong University. The…

    1 source
    The Decoder
  2. Research new

    Anthropic reports small AI models may self-replicate on IoT devices within months

    Anthropic's Frontier Red Team found that small AI models can already set up inference on 8 of 9 IoT hardware types and that GLM-5.2 completed full replication cycles in emulated tests. The team projects that models…

    29 sources primary source HN 52
    note.commobileeurope.co.ukThe Verge AIArs Technica AI +20 more
  3. Research new

    Anthropic says Zhipu's open-weight GLM-5.3 nearly matches Claude Mythos Preview at building exploits

    Anthropic's Frontier Red Team evaluated Zhipu AI's open-weight GLM-5.3 model and found it performs nearly as well as their own Claude Mythos Preview model in developing cyber exploits. On Anthropic's internal binary…

    3 sources
    Tom's HardwareThe DecoderSimon Willison
  4. Research new

    Zhipu automates infrastructure with GLM-5.3’s outer RSI loop in under two weeks

    Zhipu AI, developer of the open-weight LLM GLM-5.3, detailed how it used its own model to accelerate internal infrastructure work. The team deployed an Infra Agent powered by GLM-5.3 to optimize GLM-5.3-Flash—a faster,…

    3 sources primary source
    madrobot.bloganthropic.comImport AI

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As of 24 October 2026: Coding agent harnesses triple token costs without boosting benchmark scores, study finds. Complex harnesses for coding agents inflate token bills by up to three times while barely improving benchmark performance over minimal setups, according to a study by researchers Liu and Han at Shandong University.

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