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GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2

arrowtsx.dev

June 19, 2026

3 min read

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Summary

Major AI labs are expressing skepticism towards scaling models with endless parameters and training data. The US government banned Claude Fable 5 shortly after its release due to national security concerns stemming from a single jailbreak risk.

Key Takeaways

Major AI labs are becoming skeptical of the effectiveness of increasing model size and training data, as evidenced by the US government's ban on Claude Fable 5 shortly after its release.
Z.ai's GLM-5.2, with 753 billion parameters, closely rivals larger models like GPT-5.5 and Fable 5, indicating that intelligence in AI models has plateaued.
Larger models like DeepSeek V4 Pro exhibit high hallucination rates, with a 94% hallucination score, demonstrating that size does not guarantee accuracy or reliability in responses.
The AI industry must address the trilemma of capability, uncertainty calibration, and computational efficiency instead of solely focusing on increasing model size.

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