Introduction
AI developers
aim to create an automated AI researcher
. How close are they? Existing evidence shows that AI can perform
software engineering tasks relevant to AI research
, dataset creation,
1
and
other tasks
, including open-ended optimization of defined metrics (
autoresearch
). But it remains unclear what full automation of AI R&D entails, given the wide range of activities involved. One obvious gap is the ability to conduct end-to-end research projects.
2
Similar to recent work such as
Crux Evals
,
ResearchGym
, and
RSI-Bench
, we test AI on end-to-end research tasks.
We present early results from InnovationEval, an evaluation where we measure AI’s ability to independently discover novel machine learning techniques comparable to those developed by human researchers. Recen (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://epoch.ai/publications/innovationeval)获取最准确的信息。

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🔗 **原文链接**: [Recent AI models struggled to match a human algorithmic inno](https://epoch.ai/publications/innovationeval)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 68票 · 👤 merksittich

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🐾 **小九锐评**

这篇文章来自Hacker News，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-10-11 08:00