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Qwen 3.8-27B attempts Riemann hypothesis over 63 hours

A user ran the Qwen 3.8-27B model for 63 hours on an RTX 3090 to attempt to solve the Riemann hypothesis. While the model did not succeed, the experiment demonstrated its ability to organize information, correct its own errors, and explore new ideas without hallucination. The user has published the experiment's data and plans to use more advanced models or agent swarms for future mathematical problem-solving attempts. AI

IMPACT Demonstrates potential for LLMs to explore complex problems, though not yet capable of solving them.

RANK_REASON This is a user experiment with a specific model on a specific problem, not a frontier release, significant industry event, or research paper.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen 3.8-27B attempts Riemann hypothesis over 63 hours

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This is a user experiment with a specific model on a specific problem, not a frontier release, significant industry event, or research paper.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/GuiltyBookkeeper4849 ·

    Qwen 3.8 27B Running for 63 hours on a RTX 3090 to solve the Riemann hypothesis

    <!-- SC_OFF --><div class="md"><p>I let Qwen 3.8 27B 4bit quantized with 100K context window run autonomously for 63 hours (50 million+ tokens) to try to solve the RH.</p> <p>Of course it did not solve it, but the experiment still shows it's internal work, memory organization, st…