AI-Researcher: Autonomous Scientific Innovation
What this work does
Coordinates literature/implementation analysis, idea generation, algorithm implementation, validation and writing through iterative specialized-agent feedback.
Connection to discovery
Useful for separating implementation success, idea quality and empirical improvement when evaluating a research harness.
Evidence
Inspected the refinement architecture and Scientist-Bench's guided versus open exploration setup across 22 reference papers.
Scope and limitations
Reference-paper guidance and automated review introduce substantial priors. A small ML-domain evaluation does not establish general scientific autonomy.
THE RESEARCH CONVERSATION
Discussion & reactions
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