Requiring models to reason over their own reasoning may eliminate many gains that reasoning models achieve when applied directly to problems such as math benchmarks.

“Asking the model to do reasoning over reasoning kind of eliminates a lot of the performance improvements you get from applying the reasoning models alone to problems like math frontier,”

“where there's a lot of benefit from just writing stuff down and figuring out what works.”