GLM 5.2 Open Model Coding Tests

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Geometric shapes emerge from an open box beneath Open Model Tests.
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    The presenter tests GLM 5.2 on several tasks, including an interactive globe, mechanical animations and a ray-tracing interfaceCode generation uses AI or another automated system to create source code from instructions, examples, schemas, or higher-level specifications.. The demonstration includes follow-up prompts and notes errors in some results.

    Other examples cover music composition, an animation workflow and a research response. The presenter describes a failed image-identification test and distinguishes the model from external visual-analysis tools.

    The video discusses model specifications, reported benchmark resultsEvaluation is the systematic assessment of a system's behaviour or results against explicit criteria. and the trade-offs of open weights. Rankings and capability claims are attributed to their cited sources and the presenter’s own tests.

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    Video topic coverage

    • Agents & workflows25
    • Coding & tools100
    • Models & learning100
    • Infrastructure & compute35
    • Research & evaluation90
    • Safety & security0
    • Business & productivity0
    • Creative & media70
    • Robotics & perception25
    • Society & policy0

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    Geometric shapes emerge from an open box beneath Open Model Tests. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 17 June 2026 and duration 29m 57s.

    A presenter tests GLM 5.2 on coding and research tasks and examines reported benchmarks.