10 ms·
The other point I find missing is that this kind algorithmic optimization tends to miss solutions that are quite obvious to "system designers" due to local maxi
by xondono 7y ago
The other point I find missing is that this kind algorithmic optimization tends to miss solutions that are quite obvious to "system designers" due to local maxima (evolutionary roadblocks).
For instance, nature has not figure out how to evolve wheels even in flat regions.
- anon73044 7y agoCounter point: the tumbleweed. Also, you're assuming that wheels are the most efficient design for traveling, but bullions of dandelions seem to spread their seeds every year along with dozens of other plants.
- lonelappde 7y agoNature favors balls over wheels, because wheels are much harder to stabilize.