The basic argument for differentially accelerating AI's conceptual reasoning capabilities

The authors propose that AI's conceptual reasoning capabilities should be differentially accelerated: key work such as alignment depends on conceptual reasoning that is difficult to verify directly, and the AI safety community currently invests insufficiently in this direction. Because AI R&D and takeover depend far less on conceptual reasoning, such acceleration would help safety work far more than general capabilities. The authors state that basic steering methods such as few-shot prompting and small-scale training can improve models' scores on their conceptual reasoning benchmark by an amount equivalent to 3 to 12 months of frontier progress.