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?
White Paper - The Aeonic Method™: A Strategic Antidote to AI’s Training Gap
This White Paper presents a compelling alternative to current approaches to AI: the Friction Framework. This is a premium, "slow-tech" methodology that functions as the strategic antidote. We argue that intentionally designed, manageable challenges—"positive friction"—are not impediments but catalysts for deeper learning, enhanced creativity, and more resilient skill development.