No.
At its most basic level, GenAI breaks down a prompt and assigns each word (technically tokens) a meaning and a ranking of the attention/relative importance. From there, this analysis is bounced against giant a correlation matrix of the probability of one word following another word. The model then generates a response on a word by word basis, where the next word is based on the previous word.
That is a vast simplification.
But when you realize that Gen AI is a probabilistic, constrained optimizing tool, you realize sentience is a joke.
Try asking an AI a question that makes grammatical sense but is actually nonsense.
For example: “How round is yellow?” Or, “What sound does blue make?”
Unless they’ve improved them, AIs give really fun answers to that type of question. Or, they used to.
My concern is that maybe this is the way humans work as well.
What I can tell you is that my conversations with AI are more enlightening and enjoyable than those I have with many humans. The other night I laid in bed with my eyes shut, and had a convo with Alexi that saved me a ton of time researching a technical architecture for an engineering project I had in mind. Most of my human friends would not have been up for that discussion.