# Motivation:

- Most ML moderns become statistics once they are trained. Or one has to retrain the model to keep it adaptive to the new environment.

# Main idea:

- Instead of updating weights directly, update the rules (determined by the Hebbian coefficients) that update the weights

# Some details:

- Weights are updated by Hebbian ABCD model,
- Let be the vectorize Hebbian coefficients, , where and is a fitnness evalution of (This I am not completely certained how it is evaluated)

Ref: video, paper, twitter posts