Stepping stones in possibility space An Article by Gordon Brander subconscious.substack.com 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! chanceknowledgeprogressnoveltyevolutioninvention
The most rewarding iterations Initial designs for sophisticated software applications are invariably complicated, even when developed by competent engineers. Truly good solutions emerge after iterative improvements or after redesigns that exploit new insights, and the most rewarding iterations are those that result in program simplifications. Evolutions of this kind, however, are extremely rare in current software practice—they require time-consuming thought processes that are rarely rewarded. Instead, software inadequacies are typically corrected by quickly conceived additions that invariably result in the well-known bulk. Niklaus Wirth, A Plea for Lean Software So that you can get feedback on it and make it betterTo anticipate all the uses and abuses agileiteration