Large Language Models have no understanding or reasoning capability. They only generate patterns based on what they were trained on in response to an input. W

Large Language Models have no understanding or reasoning capability. They only generate patterns based on what they were trained on in response to an input. While they can produce very sophisticated outputs, it is still pattern matching and predictive generation, not reasoning. Other AI systems based on other methods (provers and related-logic systems) can derive facts or "reason" based on their inputs and rules. Their "truth-telling" capacity is only as good as their inputs and derivation rules. Better questions would be: "What are the capabilities and limitations of this AI system?" "Who created this AI and for what purpose?" "How was this AI created and how does it work? (what inputs was it given / trained on and how does it use those inputs to generate outputs?)"