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English(EN) Every benchmarks gets saturated after certain period of time, then why is HLE not yet saturated?

Reddit 用户质疑 HLE 基准测试为何仍未饱和

Reddit 上的一篇讨论质疑了人类学习评估 (HLE) 基准测试为何尚未达到饱和状态,而其他基准测试的前沿模型通常能达到 90% 以上的准确率。用户指出,即使是困难的数学基准测试也会随着时间的推移而饱和,但 HLE 的最高分数仍保持在 60% 左右,这引起了人们对这一异常现象的好奇。 AI

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Reddit 用户质疑 HLE 基准测试为何仍未饱和

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2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
Reddit 讨论关于基准测试饱和特性的内容。
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Single-source cluster
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.
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other
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Standard
On-topic for AI-industry coverage; kept in the public index.
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Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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报道来源 [1]

  1. r/OpenAI TIER_2 English(EN) · /u/Lucky_Creme_5208 ·

    所有基准测试在一定时间后都会饱和,那么为什么 HLE 尚未饱和?

    <!-- SC_OFF --><div class="md"><p>Every benchmarks get saturated after certain period of time where several frontier models often secure over 90%.</p> <p>But, HLE - this benchmark is so old but have not yet been saturated. How is that even possible?</p> <p>I have seen several tou…