Originally published on AI Tech Connect.
Two stories in one release When Zhipu AI published GLM-4.7 in May 2026, it bundled two genuinely distinct stories into a single model card. The first story is about hallucination reduction: the lab claims a 1.2% error rate on factual recall tasks, a figure that, if it holds up under independent scrutiny, would set a new bar for open-weight models. The second story is about hardware: every training step ran on Huawei Ascend 910B and 910C chips, with no NVIDIA silicon anywhere in the pipeline. Both stories carry significant implications for builders in India, the UK, and anywhere else where inference supply chains and data sovereignty are live concerns. GLM-4.7 is a different product from its stablemate. Zhipu's agentic flagship for software development is GLM-5.1, which we covered in April…
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