External pipelines · RISE project catalogue
Sakana AI Scientist v2
An autonomous "AI scientist" pipeline that ideates, runs experiments (primarily ML), drafts a paper, and self-reviews. Targets the full RISE arc end-to-end with minimal human oversight per task.
Where it sits
left: what it builds on · right: what builds on it · pale: exampleContributed by Sakana AI
How studies reach it
No published study reaches it yet.
Disciplines it reaches
No study reaches it yet.
Solid: published studies. Light: examples.
Computed from the records on this site: what each study, template and specialist names as used, which study extends which, and who contributed what. 0 studies in total.
What it does
Among the earliest publicly released systems to demonstrate a single agentic pipeline producing complete machine-learning papers (idea → experiments → write-up → self-review) without per-step human intervention.
- Focus
- end-to-end
- Inputs
- research-area, seed-template
- Outputs
- paper-draft, code, experiment-logs, self-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 · JSON
Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.
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.