recursive improvement is the engine of human progress because we get better at getting better
Progress is not linear improvement -- it is improvement in the RATE of improvement. Writing didn't just record existing knowledge; it changed how knowledge accumulates. The printing press didn't just distribute books; it changed how ideas combine. The scientific method didn't just produce discoveries; it produced a systematic process for producing discoveries. Each meta-innovation accelerated all subsequent innovation.
This recursive structure is what separates civilizational progress from biological evolution. Evolution improves organisms through random mutation and selection -- a process whose rate is bounded by generation time and mutation frequency. Human progress improves through knowledge accumulation, tool-building, and institutional design -- a process whose rate itself improves as each generation inherits better tools for generating improvements.
Deutsch (2011) formalizes this as "the beginning of infinity" -- once a species develops the capacity for explanatory knowledge (knowledge that explains WHY things work, not just THAT they work), improvement becomes unbounded. Explanatory knowledge is self-correcting (errors are detectable) and generative (one explanation enables others). This is fundamentally different from rule-of-thumb knowledge, which accumulates additively rather than multiplicatively.
The current AI moment is the latest recursion. AI doesn't just automate tasks -- it changes the rate at which we can automate tasks. An AI that can write code accelerates all software development. An AI that can do research accelerates all knowledge production. If an AI can improve AI, the recursion goes one level deeper -- which is exactly why AI alignment matters: a recursive improvement process that is misaligned compounds the misalignment at the same rate it compounds the capability.