Morning Edition · Friday, July 10, 2026Published at 1:31 AM EDT · New York
The MIT-licensed 753-billion-parameter model scores 62.1 on SWE-bench Pro and 81.0 on Terminal-Bench 2.1, and a community project now targets running it on slow local machines.
A Hacker News project titled Getting GLM 5.2 running on my slow computer is the latest sign that Chinese open-weight models are becoming the default stack for developers who want frontier-adjacent capability without a US application program…
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Chinese Open-Weight Models Emerge as the Non-US AI Stack
As Washington restricts foreign access to US frontier models, governments and enterprises cut off from American AI increasingly standardize on downloadable Chinese open-weight models, splitting the world into competing AI supply blocs rather than a single frontier.
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