I'm reminded of an early machine learning experiment where a system self-trained to perform a certain task on a piece of dedicated hardware did so unexpectedly. The researchers "knew" the solution but wanted to learn how their project solved it.
At some point, the sensing for analog effects became the most efficient way to achieve the result by exploiting flaws or unique properties in the individual components, sort of like that inductance backdoor where a particular set of instructions in a certain circuit leaks into another until it's energized enough to trigger it like a relay. Anyway, the result was unintuitive but worked.
Anyway, there's no doubt that after millions and millions of years, there are natural principles at the quantum and atomic levels that biologics are taking advantage of that we're basically only at the "allegory of the cave" level of understanding.
At some point, the sensing for analog effects became the most efficient way to achieve the result by exploiting flaws or unique properties in the individual components, sort of like that inductance backdoor where a particular set of instructions in a certain circuit leaks into another until it's energized enough to trigger it like a relay. Anyway, the result was unintuitive but worked.
Anyway, there's no doubt that after millions and millions of years, there are natural principles at the quantum and atomic levels that biologics are taking advantage of that we're basically only at the "allegory of the cave" level of understanding.
The micro is very much relative.