Hypothesis: Algorithms can affect a lifeform's characteristics and behavior as much as genetics or more
Experiment: Test learning of behavior by birds to achieve greater fitness for long distance travel over water that supplements their genetic predisposition
Analyze: By substituting other birds with robots indisputably running algorithms, the learned behavior transfers to the bird not initially most efficient at long distance travel
Conclusion: Algorithms optimized the effectiveness of a bird's flight by correcting drawbacks in its behavior faster than genetic change would have
To me this reinforces the notion that through constructing positive habits and removing negative feedback loops I can override "default" behaviors that I believe are detrimental or simply not desired and replace them with heuristics that align with my overarching goals in life.
I am indeed talking about ground effect–that's why I included a link for "flying close to the surface reduces aerodynamic drag" which explains how it works.
I also specifically addressed how algorithms differ from memes in footnotes 4 and 14.
This is the proper Kantian answer. Certain basic human capacities are innate (e.g. perceptual grasp of relative object size), but it is through socialization processes that these capacites are "assembled" into knowledge and meaning.
A Freudian take that applies more to behavior in the workplace is that certain drives are innate to the organism and require discharge lest tension builds up, and it is through learned "algorithms" that we find acceptable ways to relieve these tensions.