little bit of a diagram here of if you do hebbian if this if this is an error landscape if you do have you in learning you basically you don't care about the error you're just reinforcing yourself if you do perturbation learning then you it's very slow because you don't have a detailed signal you just you just rely on this one number it's kind of if you were to update every single neuron in your neural network with reinforcement learning considering the output the of the neural networks or the error considering that the reward not using