In the AI era, knowledge is not losing value. What is losing value is the old habit of training people to store facts, reproduce answers, and mistake test performance for thought.

Before you get lost in the fantasy of agent automation, first get clear on token costs. Then talk about efficiency, workflow, value, and the shift in mindset.

Some value judgments look objective and rational, but what they really erase is why a particular person wants something, loves it, or believes it is worth having.

This is a personal blog, also a long-term experiment in writing and knowledge deconstruction.