Sometimes discovery happens accidentally. I think investing in the intersection of the digital and biological worlds is a good general direction even if unfruitful intuitively from an early economical standpoint. I think biological systems have immense insights still to give that we should continue to explore!
Sure, but why would it be the ends of this process. Like, the comment above is arguing for symbiosys. My question is how does symbiosis make the system better or more efficient in the end. For example, if there is something to understand or gain from the biological systems, a fully digital system could probe it, emulate it and in general extract the relevant information much more efficient than a human.
Maybe it's my lack of understanding, so correct me if wrong, but I believe biological systems complete emulation are not yet a solved problem. You can approximate, omit variables, deal with error correction, and, at best, model it in a way that extrapolates it but you cannot confidently assert.
There's so little we know about biological systems despite much of the advancements, it's sort of pretentious to say we should give up on them because we can scale digital systems.
