Helpful, but unless there's an ML/AI form of docking scoring function that's also new the resulting bound conformations are helpful but not really useful for predicting activity. Enough to get started - but can this technology find docked poses for structures or pockets that do not have (high?) similarity to the training set?

As has been said somewhat sadly at various conferences, "Scoring functions suck". They can be trained within (close?) families, they can show reasonable poses when enthalpies predominate but non-bonded/grease interactions were and probably still aren't a strength. It's a start until a crystal structure is generated and will help if/when the sar goes to hell and another is required.