Speed
Artificial Intelligence Wins
Artificial Intelligence
The computational velocity of modern artificial intelligence systems defies human comprehension. Contemporary large language models process queries in milliseconds, whilst image recognition algorithms can analyse thousands of photographs before a human observer has finished blinking. Neural networks trained on massive datasets can identify patterns across millions of variables simultaneously, producing results that would require human analysts centuries to replicate. This extraordinary processing capacity enables real-time translation, instantaneous medical diagnoses, and the continuous monitoring of global financial markets without pause or fatigue.
Sherlock Holmes
Holmes operates at the speed of human cognition, albeit at its absolute zenith. His famous rapid-fire deductions, delivered whilst clients barely settle into their chairs at 221B Baker Street, represent the maximum velocity achievable by organic neural tissue. Yet even Holmes requires time to observe, to smoke his pipe, to retreat into his mind palace. The Hound of the Baskervilles investigation consumed weeks. The Study in Scarlet demanded considerable patience. Holmes himself acknowledged that the mind, unlike the machine, requires intervals of complete rest.
VERDICT
Raw computational throughput favours silicon over synapses by several orders of magnitude.