Meta-reasoning system brings large AI model gains, a user reports

A user sharing new meta-reasoning work reports large gains for several frontier-scale models by explicitly tracking a problem’s unresolved cognitive demand within a hierarchical meta-reasoning system. The proposed next step is to feed the approach back into the core model during post-training, improve its immediate reasoning capability and repeat. The author presents recursive self-improvement as the goal, not an achieved result.