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## Contact & Collaboration
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I welcome discussions and collaborations with research labs and model teams on **mechanistic interpretability—especially how LLMs represent
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**Email:** [wangchupei@hotmail.com](mailto:wangchupei@hotmail.com)
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## TL;DR
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We identify a task that is **super easy for humans** but where all LLMs—from early 0.1B to the most modern 600B+ (GPT-5, Grok-4, Gemini, DeepSeek, etc.)—consistently **fail in the Same Way**. This pinpoints the **core challenge of MRCR**
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## Contact & Collaboration
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I welcome discussions and collaborations with research labs and model teams on **mechanistic interpretability—especially how LLMs represent icl— model and agent evaluation, and why models fail, not only whether they fail**. If you are interested in PI-LLM, benchmark comparisons, or evaluating your models or agents, please reach out.
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**Email:** [wangchupei@hotmail.com](mailto:wangchupei@hotmail.com)
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## TL;DR
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We identify a task that is **super easy for humans** but where all LLMs—from early 0.1B to the most modern 600B+ (GPT-5, Grok-4, Gemini, DeepSeek, etc.)—consistently **fail in the Same Way**. This pinpoints the **core challenge of MRCR**
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