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English(EN) A working Nintendo lives in 1GB of Qwen weights. I ran it and counted the nonzero ones.

NES CPU嵌入Qwen语言模型权重

一个项目已成功地将一个功能齐全的任天堂娱乐系统(NES)CPU嵌入到Qwen3.5语言模型的权重中。这一壮举是在没有任何额外训练的情况下实现的,通过将NES CPU的逻辑直接编译到模型的参数中,其中约98%的权重为零。该模型运行时,可以执行NES指令并产生与参考CPU相同的输出,速度约为每秒193个token。 AI

影响 展示了一种在LLM权重中嵌入计算逻辑的新颖方法,可能影响未来的模型架构和应用。

排序理由 这是一个在LLM权重中嵌入计算逻辑的新颖研究演示,而不是产品发布或前沿模型公告。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

NES CPU嵌入Qwen语言模型权重

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Tool
这是一个在LLM权重中嵌入计算逻辑的新颖研究演示,而不是产品发布或前沿模型公告。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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High
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Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · frank chu ·

    一个能运行的 Nintendo 存在于 1GB 的 Qwen 权重中。我运行了它并计算了非零权重。

    <h1> A working Nintendo lives in 1GB of Qwen weights. I ran it and counted the nonzero ones. </h1> <p>Today's Show HN is the kind of project that sounds like a joke until you read the mechanism: an NES CPU compiled into the weights of a stock Qwen3.5 model. No training. A compile…