Why hasn't longer-horizon training slowed AI progress?

Despite predictions that AI training would slow down as tasks grow harder and require more computing power, progress has continued accelerating. Three key reasons explain this: engineers keep eliminating costly software bugs that waste computing resources, humans struggle to accurately measure intelligence once AI reaches near-human levels, and raw intelligence isn't the only factor driving capability — things like memory, persistence, and tool familiarity matter just as much.