The Friction Paradox: Why AI Must Be Difficult
The question "How do we use AI?" has shifted from the zeitgeist to a deafening noise where all answers feel equally valid and equally absurd. "It is a tool." "It is a partner." "It is cheating." "It is devaluing work." We are exhausted by the debate because we are focusing on the wrong side of the equation: we are looking at what the technology can do, rather than what we can do with the technology. To the instrumentalist, this is a matter of utility: How do we make it faster? To the cognitivist, this is a question of ontology: What does it do to the thinker?
Teaching Jacqueline High
There is an industry growing around the idea that we need "Perfect Prompts" to get good results from AI. They sell us libraries, cheat sheets, and structural guides.
They are lying to us.
AI doesn't need perfect grammar: it needs Context.
Below is the raw, unedited log of a session I ran 15 minutes before a lesson.