5 Surprising Ways Today's AI Fails to Actually "Think"

Large language models demonstrate impressive capabilities in tasks like coding and conversation, creating an illusion of genuine thinking that recent research reveals to be fundamentally flawed. Studies show these AI systems collapse when problems become complex, produce contradictory reasoning chains, trap users in error loops, achieve inflated benchmark scores through data leakage, and lack the true understanding that defines human intelligence.