Technological Involution

TLDR · 2 weeks ago

This article argues that technological progress has stagnated, with society having exhausted major innovations and left only engineering drudgery, while AI is currently useful mainly for software engineering rather than constituting broad progress. The author cites examples like a founder spending 3 hours manually fixing AI's debugging work after the system spent days in circles, and notes that AI-powered enterprise tools show unclear value beyond token costs. The shift going forward requires founders to become skilled operators tackling hard problems like enterprise complexity and hardware supply chains, rather than commoditized software solutions.