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Researcher attempts to fine-tune a Chinese LLM to perfectly regenerate Borges' 'Pierre Menard' story token-by-token rather than merely imitate it.

Researcher attempts to fine-tune a Chinese LLM to perfectly regenerate Borges' 'Pierre Menard' story token-by-token rather than merely imitate it.

3 Key Points

  1. The goal is not to create a Borgesian-style story but to have the model generate the exact text of 'Pierre Menard, Author of the Quixote' through its weights

  2. Initial approach involved using Kimi K2.5-Thinking with Borges' complete biography and literary influences in the system prompt, but the 256K-token context window proved insufficient by five orders of magnitude

  3. The project treats this as a technical challenge distinct from simple memorization or machine transcription, requiring the model to generate text that perfectly coincides with the original work

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