An AI does not lie. Nor does it tell the truth. It does not know what is true or what is false; it calculates probabilities. Its “reasoning” boils down to guessing which word is most likely to follow the previous one, based on the billions of sentences it has been shown.
The result can be stunning: fluent, elegant, convincing. But this ease is only an illusion. What we read is not verified knowledge; it is a string of words that “fit nicely”. Sometimes right, sometimes wrong, sometimes neither.
So the real danger is not AI itself, but our human reflex: confusing coherence with truth. In other words, mistaking chalk for cheese. It is this subtle, almost imperceptible slide that opens the door to confusion, through ignorance of how it works and through excessive trust in whatever “sounds right”.
Find the full transcript of this episode, along with all the sources and plenty more, at: For AI, truth does not exist
