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Elon Musk and Jie Tang, co-founder of Chinese AI lab Z.ai (formerly Zhipu AI), clashed publicly on X this week over how quickly China will produce an AI model rivaling Anthropic’s Fable 5, with Musk predicting early 2027 and Tang insisting it would happen sooner.
The debate erupted on June 18 after an AI researcher on X estimated that Z.ai’s newly released GLM-5.2 model performs at roughly the level of Anthropic’s Claude Opus 4.7 or 4.8, placing China about seven months behind the American frontier. The researcher projected China could field a Fable-equivalent model by November or December 2026.letsdatascience
Musk responded with his own estimate: “Probably Q1,” referring to the first quarter of 2027. Tang then replied directly to Musk: “It won’t take that long”. Musk followed up, writing: “Yes, on benchmarks; but measured by real-world practicality, even the first quarter will be very impressive”.officechai
The exchange came days after Z.ai released GLM-5.2, an open-weight model with a one-million-token context window that the company says outperforms OpenAI’s GPT-5.5 on coding benchmarks at a fraction of the cost. The model was made available to all GLM Coding Plan users on June 13 and its open weights released the following week.dataconomy
Z.ai, headquartered in Beijing and spun out of Tsinghua University’s research lab, has positioned itself as China’s answer to Anthropic. The company reportedly operates using limited hardware — as few as eight Nvidia H20 chips — yet delivers competitive performance.bismarckanalysis
The debate arrives during a tense period for US-China AI relations. On June 13, the U.S. Commerce Department ordered Anthropic to suspend all foreign access to Fable 5 and Mythos 5, citing national security concerns over a potential jailbreak technique and suspected Chinese access to the models. Anthropic had to disable both models for all customers to comply.facebook
The episode underscored a growing irony: American export controls intended to slow China’s AI progress may be accelerating Chinese labs’ push toward self-sufficiency, even as those same controls disrupt access for allied nations.letsdatascience