Part 10/15:
Confabulation and Lack of Inhibition: Fundamental Challenges
A significant shortcoming shared between AI and human cognition is confabulation—the tendency to generate plausible but false information.
Unlike humans, current models lack a concept of inhibiting irrelevant or false information.
The absence of negative reasoning or inhibitory circuits means models "make up" answers, especially when uncertain.
Implications:
Without neural inhibition, models can't filter or cross-verify information effectively.
Fine-tuning or prompt engineering can mitigate this, but these are patchwork solutions.