Octopus Outsmarts AI: Why Flexible Biology Still Reigns Over Rigid Algorithms
-
Recent AI advances like ChatGPT have sparked familiar fears about out-of-control AI, but natural examples like the octopus show current AI's limitations.
-
Octopi evolved over 100 million years into remarkable shape-shifters, while robots still struggle to match their abilities despite decades of efforts.
-
Consciousness likely emerged in animals as an efficient evolutionary adaptation for dealing with complex, changing environments.
-
Current AI is hardwired without the learning flexibility of biology, more like a sophisticated wind-up toy than a conscious being.
-
AI pioneers once tried to replicate human-like common sense in programs, but the probabilistic training of modern AI has moved away from that approach.