---
title: "Sakana AI's \"The AI Scientist\""
type: "entity"
entity_kind: "concept"
status: "hub"
canonical_name: "The AI Scientist"
aliases: ["AI Scientist","AI Scientist-v2"]
first_seen: "2026-07-06T00:00:00.000Z"
writer_model: "claude-sonnet-5"
connects_to: ["autonomous science","multi-agent systems","Auctopus","Co-Scientist","LLM-generated research ideas"]
seek_code_commit: "d40ee39"
---


An automated-research system built by Sakana AI that generates, runs, and
writes up its own machine-learning experiments, with a reviewer-graded
novelty score as its fitness function and no cross-run memory. Its single
AI-authored result — a workshop paper scored 6/7/6 at the ICLR 2025
ICBINB workshop — was withdrawn before publication by the team's own
prior agreement, a fact the field's coverage routinely drops in favor of
a later, human-written Nature paper describing the system
([[myth-ai-scientist-nature-paper]]).

Matters to this vault as the field's reigning cautionary case for
ungated autonomous science, and as the explicit foil [[entity-ross-d-king|the
broader automated-science lineage]]'s newer entrants measure themselves
against: the 2026 NV-diamond multi-agent paper that prompted this hub's
creation names Sakana's AI Scientist (critiqued in Beel, Kan & Baumgart
2025 for reporting performance improvements based on flawed experiments)
as one of two prior systems its own self-critical design is built in
reaction to.

## References
- [[myth-ai-scientist-nature-paper]]
- [[claim-agent-memory-field-shifted-storage-to-experience-2026]]
- [[comparison-seek-among-peers-2026-07]]
- Capture: 10-inbox/raw/2026-11-01-outside-arxiv261040589-collaborative-ai-agents-for-autonomous-experimental.md