Machine learning innovations often combine additively or multiplicatively and can be stacked without interfering, though the degree of compatibility depends on the specific details.

“and it tends to be the case that ML innovations are very additive or maybe multiplicative depending on how you think about it, where basically you can keep stacking innovations and usually the innovations just sort of just add together and don't interfere with each other, though obviously it's going to depend on the details.”