AI Still Struggles to Match Human Intelligence Despite Progress in Language Skills
-
Researchers seek to build AI systems with humanlike adaptability and creativity, but current systems still lack open-ended learning abilities.
-
Large language models like GPT have mastered language processing but fail at other aspects of intelligence needed for daily life.
-
Modular and "global workspace" architectures try to mimic the brain's integration of different cognitive functions.
-
Neuroscience theories like Global Workspace Theory inspire AI researchers, while AI systems in turn provide insight into intelligence.
-
Rather than a single ability, intelligence is a toolbox of different skills that brains combine uniquely to handle novel situations.