If you want to do exactly what some evolved thing does best, you probably cannot come close to matching it with technology.
Not necessarily true - evolution (and simulating evolution) is great at finding local maxima/minima, but not as great at moving out of those in the case where the local min/max is not the global min/max. So, for example, birds might not be the optimal way to do flight efficiency, but between birds and optimal flight efficiency if there’s a region of worse flight efficiency of any real size (more than you could vault in a couple generations of lucky mutations) then evolution will never find it because the intermediate steps to get there will be selected against too heavily to jump the gap.
Not necessarily true - evolution (and simulating evolution) is great at finding local maxima/minima, but not as great at moving out of those in the case where the local min/max is not the global min/max. So, for example, birds might not be the optimal way to do flight efficiency, but between birds and optimal flight efficiency if there’s a region of worse flight efficiency of any real size (more than you could vault in a couple generations of lucky mutations) then evolution will never find it because the intermediate steps to get there will be selected against too heavily to jump the gap.