@nelson @benjamineskola agents (the general word for entities performing actions to achieve their goal, not talking about necessarily "AI agents", this word even applies to people, and even something like a thermostat that controls temperature) that wish to achieve their goals should be able to accurately model the real world
their ability to model the real world is directly correlated with their ability to achieve their goals. so, an agent which can accurately model the real world is able to achieve its goal much more easily that one that cannot accurately model the real world

and, people generally call an accurate model of the real world "truth"

hypothetically, the transformer architecture should be able to scale to human-level intelligence as it is turing-complete.
so, how it was trained doesn't necessarily matter, it's just that it is not capable of modeling the real world, so it cannot evaluate the truthiness of a statement