On "science that is greater than the sum of its parts", the post hits on key ingredients:
+ understanding of problems from multiple perspectives and across multiple dimensions;
+ pragmatic engineering for high-quality execution;
+ touching the real world, doing it at scale;
+ demonstration and iteration, always;
that can together enable "execution-driven science." In practice, much of that R&D progress is posted at https://pasteur4d.ai/research and other offshoots of https://arxiv.org/pdf/2112.03235
