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Hell Fast
Cognitive Misers jumping to conclusions based on limited association without deeper modeling failure in information processing efficiency and inference quality compressing data with no real structure, leading to high description length for wrong models. Overfitting to Noise
Hell Fast
Using limited associations performs shallow updates, gaining little KL divergence from prior to posterior Using low-complexity, high-bias models that maximize short-term compression but fail to preserve meaningful mutual information with the environment