(4.7.4) Grimme : The primary purpose of Kohn-Sham DFT for AI/ML approaches seems to be the efficient generation of the required huge amount of reasonably accurate reference data (mostly energy and forces). AI will be also involved in the building of exchange-correlation functionals -for example, by following Perdew's approach of satisfying 17 theoretical constraints; see contribution (3.1.2). A paper in this vein by Kirkpatrick and Cohen appeared recently. 725 . (4.7.6) Galli : I would like to mention DFT-based deeppotential MD (DeePMD) by Robert Car and Weinan E's group in Princeton 717 and machine learning dielectric screening for the simulation of excited state properties of molecules and materials 726 , which may eventually be used also to derive dielectricdependent hybrid DFAs.