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Registry

The AI Scientist: an end-to-end ML research pipeline

Status

Peer reviewed

Recorded on · nature.com

  1. Announced
  2. Recordedpeer reviewed
What this status means

Source reading : Source read word for word (level 3 of 3)

Published in a journal or reviewed by named experts.

Full history

The gist

Sakana AI, UBC, the Vector Institute and Oxford published The AI Scientist in Nature on 25 March 2026, an end-to-end machine learning research system. Status: peer reviewed.

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Cite this entry

A single status snapshot since Oct 11, 2026: a citation always points to a dated snapshot.

Cite snapshot 1, Oct 11, 2026

APA citation with the dated link

DiscoverIA. (2026, October 11,). The AI Scientist: an end-to-end ML research pipeline [Status : Peer reviewed, snapshot 1]. DiscoverIA registry. https://discoveria.ai/en/fiche/sakana-ai-scientist-nature-2026-03-25/#releve-1

BibTeX @misc, key discoveria-sakana-ai-scientist-nature-2026-03-25-r1

@misc{discoveria-sakana-ai-scientist-nature-2026-03-25-r1,
  author       = {{DiscoverIA}},
  title        = {The AI Scientist: an end-to-end ML research pipeline},
  howpublished = {DiscoverIA registry, entry sakana-ai-scientist-nature-2026-03-25},
  note         = {Status « Peer reviewed », snapshot 1, recorded on October 11, 2026. system},
  year         = {2026},
  url          = {https://discoveria.ai/en/fiche/sakana-ai-scientist-nature-2026-03-25/#releve-1},
  urldate      = {2026-10-11}
}

Dated link opens this snapshot in the history

https://discoveria.ai/en/fiche/sakana-ai-scientist-nature-2026-03-25/#releve-1

Text written by an AI (DiscoverIA pipeline), on Reviewed by: nobody yetReport an error

What has not been reviewed?

The status and its sources come from the registry; only the explanatory text has not been reviewed. A reported error is corrected, then the text is reviewed.

The status and its sources come from the registry; only the explanatory text has not been reviewed. A reported error is corrected, then the text is reviewed.

Key facts

Claimed by
Sakana AI, UBC, Vector Institute, Oxford
announced on Mar 25, 2026
Nature
system
Field
Machine learning (machine learning / meta-science)
Checked by
Nature peer review (a paper describing the system, not one written by it)
Sources (domains)
1 : 1 links only
This entry
AI draft, not reviewed

To understand

Analogy

It is like an assembly line running from idea to final report: a single machine chains together the search for ideas, the experiments and the writing.

What it changes

What is published is the system itself, not a paper it wrote. A paper generated by the system was accepted at an ICLR 2025 workshop, then withdrawn before publication.

What remains unclear

Nature gives an acceptance rate of 70% for this workshop, while a search summary gives 32.6%: the disagreement is not reconciled. Beel et al. (arXiv 2502.14297) report 42% of experiments failing, according to a summary.

For experts

1 source.

For experts

Proofs
article Nature, code

Sources(domains)

Method

Status “peer reviewed” recorded on 11 October 2026 from nature.com (page read, quotation checked word for word).

Limits

The status may change if a new source is published; the dated history stays visible.

To understand

It is like an assembly line running from idea to final report: a single machine chains together the search for ideas, the experiments and the writing.

Status history

Only one observation so far.

  1. 01

    First observation:Peer reviewedCurrent status

    the system is published; the acceptance concerns a workshop, and the paper was withdrawn before publication (Sakana)

    Source: nature.comread word for word

An observation is added; none is ever erased.

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