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Lessons from Building an Automated Research Scaffold

The paper discusses the development of an automated research scaffold aimed at accelerating research and collecting data on automated alignment research (AAR). While the scaffold did not significantly enhance researcher productivity, it proved useful for identifying specific failure modes in AAR. The authors plan to further investigate broader failure modes and methods for monitoring and analyzing automated research systems.

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Tracking sinceOctober 2, 202613 source points
Momentum—More observations needed
PublishedOctober 2, 2026Alejandro Aristizabal
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WHY IT MAY MATTER

This research provides insights into the limitations of automated scaffolds in enhancing researcher productivity and highlights their utility in identifying failure modes within automated alignment research.

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