Transformer models don’t “think” – they optimize probability. Their output is impressive, but it’s entirely non-conceptual.
Why Transformers Don’t Think
Despite the hype, Transformer-based models (like GPT) lack fundamental characteristics of thinking systems:
- No real-world grounding
- No understanding of causality
- No intentions or goals
- No model of self or others
- No abstraction or symbol grounding
- No mental time travel (memory/planning)
They are statistical mirrors, not cognitive agents.
A Transformer is not a mind. It’s a sophisticated parrot with vast echo chambers.