The emergence of large reasoning models (LRMs) has fundamentally challenged our understanding of what constitutes genuine intelligence in artificial systems. These sophisticated AI architectures, designed to display elaborate step-by-step thought processes before delivering answers, promise to bridge the gap between computational pattern matching and authentic human-like reasoning. Yet beneath their impressive veneer of deliberation lies…