In his method, I think the happiness of the first few Jhanas is not caused by prediction error directly, but rather indirectly through the activation of the reward circuitry. So while the method involves creating some amount of prediction error, the ultimate result is less overall prediction error, because the reward neurotransmitters bring the experiential world closer to the ideal.
After the first three Jhanas, the reward circuitry is less relevant and you start to reduce overall prediction error through other means, by allowing attention to let go of aspects of the world model. In the ninth Jhana / nirodha samapatti that he mentions, attention lets go of everything and there’s no prediction error.
By comparison with higher Jhanas that are less attention grabbing, you can see the subtle discomfort present in the first few Jhanas, and I think that’s the remaining prediction error.
In his method, I think the happiness of the first few Jhanas is not caused by prediction error directly, but rather indirectly through the activation of the reward circuitry. So while the method involves creating some amount of prediction error, the ultimate result is less overall prediction error, because the reward neurotransmitters bring the experiential world closer to the ideal.
After the first three Jhanas, the reward circuitry is less relevant and you start to reduce overall prediction error through other means, by allowing attention to let go of aspects of the world model. In the ninth Jhana / nirodha samapatti that he mentions, attention lets go of everything and there’s no prediction error.
By comparison with higher Jhanas that are less attention grabbing, you can see the subtle discomfort present in the first few Jhanas, and I think that’s the remaining prediction error.