The research suggests that through self-modeling, systems can achieve both better prediction of their internal states and improved task performance, such as identifying numbers. The internal states become simpler and more elegant, leading to lower complexity values. This simplicity creates a feedback loop that enhances robustness and sparsity of internal structures. Thus, self-modeling may contribute to the utility of consciousness by fostering more effective and efficient cognitive processes.

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