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English(EN) An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run

Claude Opus 4.7 在代码重建基准测试中领先AI

Epoch AI 开发了 MirrorCode 基准测试,用于评估AI模型在没有原始代码的情况下重建完整程序的能力。Anthropic 的 Claude Opus 4.7 表现强劲,在14小时内成功重建了一个16000行的工具包,解决率为56%。然而,目前的AI模型在最复杂的编程任务上仍然面临挑战。 AI

影响 该基准测试突显了当前AI在复杂代码生成方面的局限性,并为评估AI编程能力设定了新标准。

排序理由 该集群描述了一个新的AI模型基准测试以及特定模型在该基准测试上的表现。[lever_c_demoted from research: ic=1 ai=1.0]

在 The Decoder 阅读 →

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

Claude Opus 4.7 在代码重建基准测试中领先AI

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该集群描述了一个新的AI模型基准测试以及特定模型在该基准测试上的表现。[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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103 days old
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完整方法见我们的编辑标准。

报道来源 [1]

  1. The Decoder TIER_1 English(EN) · Matthias Bastian ·

    一个AI模型在单一MirrorCode任务上不间断运行19天,运行成本为2600美元

    <p><img alt="" class="attachment-full size-full wp-post-image" height="768" src="https://the-decoder.com/wp-content/uploads/2026/06/llm_code_generation.png" style="height: auto; margin-bottom: 10px;" width="1376" /></p> <p> Epoch AI's new MirrorCode benchmark tests whether AI mod…