Announcement
SHELDON aims to help AI agents explore observations as well as hypotheses
A post describes SHELDON as a scientific reasoning harness with separate spaces for observations and hypotheses.
TLDR
The post argues that AI agents often start with a hypothesis and look for supporting observations, risking missed discoveries. It introduces SHELDON as a way to explore both observations and hypotheses, and says the harness generalizes across medical diagnosis, system-log investigations, ARC-AGI 2 and autoresearch.
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