I mean yeah, the main bottleneck in ML research used to be fixing python virtualenv hell when every existing torch repo breaks after two months of package updates, plus cuda and other version incompatibilities. That was like 95% of the work. Now it's more like 2% of the work and it's actually possible to get shit done without losing your mind.