From the paper: > Under this theory, BNNs [biological neural networks] hold “beliefs” about the state of the world, where learning involves updating these beli

From the paper: > Under this theory, BNNs [biological neural networks] hold “beliefs” about the state of the world, where learning involves updating these beliefs to minimize their VFE [variational free energy] or actively change the world to make it less. If true, this implies that it should be possible to shape BNN behavior by simply presenting unpredictable feedback following “incorrect” behavior. Incorrect behavior is punished by pushing static, simulating an "unpredictable" environment, so that the BNN (biological neural network) acts differently. I really hope that if they continue this line of development that they find something other than "chaos overrides" to sensory input because at a certain level of intelligence, that would lead to insanity.