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External pipelines · RISE project catalogue

Sakana AI Scientist (v1)

The original AI Scientist release (arXiv:2408.06292): an end-to-end agentic pipeline that ideates, runs experiments, and writes a paper with self-review on a fixed set of CS templates (NanoGPT, 2D Diffusion, Grokking). Foundational reference for the AI-scientist line and direct predecessor to v2.

Indexed in RISE · activeConformance with the standard plannedProject site

What it does

First widely-noticed system to demonstrate a complete machine-learning paper produced autonomously by an LLM pipeline, including in-pipeline reviewer simulation. Released with example papers and per-template scaffolds, making the line of work concrete and inspectable.

Focus
end-to-end
Inputs
research-area, template
Outputs
paper-pdf, code, experiment-logs, llm-generated-review
Architecture
multi-agent, tool-use, iterative-loop, artifact-versioning
Maintained by
Sakana AI
Started
2024

Description

Data model
Discipline
Computer science
Method family
not specified
Design
not specified
Research stage
HypothesesResearch designData analysisCode generationDraftingRevision and editingReview
Contributors
Sakana AI
Usage
not used in published research yet
Source
RISE project catalogue · projects/landscape · @4c17bae
Record
pipeline:sakana-ai-scientist-v1 · JSON

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Bring it into the standard

A pipeline built outside E2ER can meet the standard by describing its steps as a template, attaching the floor of checks and publishing evaluation records. Its authors keep ownership and credit.

Other pipelines in Computer science