An AI Scientist that Doesn’t Drift: Taste, Structure, and Falsifiable Findings in a Quadruped Navigation Research Loop
The episode discusses a Caltech paper detailing how to build an AI scientist that does not drift. The system combines structural honesty with subjective taste. Key findings showed that while both systems were effective, the oracle arm excelled at exploring new ideas and carrying lessons across research streams.