aceTowards end-to-end automation of AI research
Abstract The automation of science is a long-standing ambition in artificial intelligence (AI) research 1,2 . Although the community has made substantial progress in automating individual components of the scientific process, a system that autonomously navigates the entire research life cycle—from conception to publication—has remained out of reach. Here we present a pipeline for automating the entire scientific process end to end. We present The AI Scientist, which creates research ideas, writes code, runs expe…
The AI Scientist pipeline autonomously executed the entire research lifecycle and produced a manuscript that cleared initial peer review at a selective machine learning workshop.
Autonomous research systems could overwhelm peer review infrastructure and pollute scientific literature with low-quality or noisy papers.
Evidence
- Peer-reviewedNature2026-03-25
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Truvace Impact Record TRV-2026-0163, v1: “Towards end-to-end automation of AI research.” Truvace, 2026-07-13. /record/TRV-2026-0163 (accessed at citation time). sha256 7808b9a1ef8e7bd4…
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