Automation Without Understanding
Summary
Automation Without Understanding argues that AI systems are beginning to produce genuine research-level mathematics while the human infrastructure that ensures understanding is weakening. The essay contends that mathematical capacity is a strategic asset and should be treated as infrastructure. It further recommends that AI systems performing consequential reasoning expose their decision-critical claims in formal, machine-checkable form to create auditable AI reasoning.