# Lu 2024: The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

> Chris Lu, Cong Lu, Robert Tjarko Lange et al., 2024. 1 records on Mysteries Department cite it. The inquiry-framework report cites it as an automated…

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Lu 2024

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# The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Chris Lu, Cong Lu, Robert Tjarko Lange et al., 2024. _arXiv_.

Describes The AI Scientist, a system in which language models propose research ideas, write and run experiments, draft papers and review them automatically, applied to machine learning research.

**Voynich Manuscript** PreprintChecked against the original0

## What it's used for here

The inquiry-framework report cites it as an automated research loop whose weak point is self-review, and concludes that automated review cannot replace an outside check.

## Cited by on this site 1 record

[1 methods surveys]

Frameworks of inquiry

SRC

## Cite it

```
Lu, C., Lu, C., Lange, R. T., Foerster, J., Clune, J., & Ha, D. (2024). The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. arXiv. https://arxiv.org/abs/2408.06292
```

[Read it free at arxiv.org](https://arxiv.org/abs/2408.06292)[PDF stored here · 186 pages](https://mysteriesdept.com/sources/SRC0D8MRZVP5B5H/the-ai-scientist-towards-fully-automated-open-ended/pdf)

The PDF is the copy arxiv.org gives away, kept here so the link can't break. Downloads are open to beta members.

Key

**SRC** 0D8MRZVP5B5H

Kind

Preprint

Rights

CC-BY-4.0

Checked

Against the published original

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The record

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[CSL-JSON](https://mysteriesdept.com/sources/SRC0D8MRZVP5B5H/the-ai-scientist-towards-fully-automated-open-ended/csl.json)
