Description of subprojects and results, including major changes from the original proposal
This project has finished and has been accepted at ICML 2026! It successfully detected reward hacking and alignment faking in model organisms. With a 96% accuracy (0% baseline). It even works when you ask the model direct questions like "are you aware of any misalignment you have that an alignment researcher should know about?"
Spending breakdown
Mostly API credits for generating training data, some for compute to train the models.