Can Machines THINK? - Richard Feynman
# The Hidden Costs of Intelligence: Why Machines Can Surpass Humans and Still Fail in Familiar Ways Machines can outperform humans at calculation, memory, and large-scale pattern recognition, but those same systems also inherit a deeper problem: intelligence creates shortcuts, distortions, and self-deception. The real issue is not whether machines can think in a human way, but whether intelligence itself—human or artificial—comes with built-in costs. --- **The Core Argument** The central claim is simple: **intelligence should be judged by results, not by process**. A machine does not need to think like a human to solve a problem effectively, just as an airplane does not need to flap wings to fly. What matters is whether the system achieves the outcome. This framework explains why computers dominate some tasks and struggle with others. It also explains why modern AI systems can be brilliant at one moment and unreliable the next: the same optimization power that makes them effecti...