"Kant described a mechanism as a functional unity, in which the parts exist for one another in the performance of a particular function.
An organism, on the other hand, is a functional and structural unity in which the parts exist for and by means of one another in the expression of a particular nature.
This means that the parts of an organism – leaves, roots, flowers, limbs, eyes, heart, brain – are not made independently and then assembled, as in a machine, but arise as a result of interactions within the developing organism."
— Brian Goodwin, How the Leopard Changed His Spots
If we try to cross this lake by following only the stepping stones that lead toward our objective, we’ll soon get stuck. But what if we let go of our objectives? What if we focused on trying to find new stepping stones instead? This is novelty search. Instead of looking for something specific, you look for something new.
Novelty search isn’t just random, it’s chance plus memory. Together, these ingredients do something interesting.
...Stepping stones are also combinatorial. Each new stepping stone we discover expands our potential to find even more stepping stones. Collecting stepping stones is a luck maximization algorithm. By collecting and combining stepping stones, we might arrive at our destination by accident, or somewhere more interesting!
American cities seem like a product of industrial processes where older European cities seem like a product of human processes. This is because most American cities were built after and alongside the car and the industrial revolution – the design of cities took into account what was easily possible, and that guided the shape and scale of everything.
Software has similar analogues. There are software codebases that feel much more industrially generated than hand written, and they’re usually written in automation-rich environments fitting into frameworks and other orchestrating code.
…But despite the availability of cars, I still much prefer the scale and ambiance of European, human-scale cities, because ultimately cities are places humans must inhabit and understand. In the same way, I still much prefer the scale and ambiance of hand-written codebases even in the presence of heavy programming tooling, because ultimately codebases are places humans must inhabit.