Recent discussions within developer communities have exposed a troubling paradent: many technical teams deploying AI tools lack foundational understanding of how these systems actually work. An internal workshop at one organization revealed that even senior developers and team leads couldn't articulate basic concepts about language models or explain what artificial intelligence fundamentally means. This knowledge deficit extends beyond isolated cases, with JavaScript developers and others expressing confusion about how to begin learning ML fundamentals amid an overwhelming sea of courses and resources. The gap highlights a critical mismatch between the rapid adoption of AI tooling and the educational foundation developers actually possess.