again you start a new episode and you again adapt that randomly initialized network so what's actually learned here isn't the weight of the network what's learned during training is these rules that transform any randomly initialized network into a high performing network now of course you you might just object and say hey wait a minute i can just basically hard code the you know the optimal weights here into these hebian rules like my rules can simply you know not care about the input and simply output whatever good weights