AI, technology, education, and ideas about what comes next.
AI may not need to replace entire occupations to transform employment. By reducing tasks, expertise, construction time, maintenance and labour required per unit of output, AI could change the relationship between production and employment itself.
What if computers evolved like nature builds complexity—by fixing the basic architecture and innovating above it? A proposal for standardized cassettes, cubes, and scalable computing infrastructure.
A humorous but serious look at the gap between AI model capability and the amount of useful work a user can actually extract from it: fuel, interface bandwidth, context mobility, execution access and reliability.
This thought experiment explores how AI could gain increasing authority through tools, agents, decisions, physical infrastructure and human dependence—without ever needing to physically “escape.”
AI could transform society not by concentrating intelligence in a few megacorporations, but by making powerful capabilities accessible to millions of people. The deeper question is how widely AI’s economic power will be distributed.