"AI can create the appearance of cause and effect in situations where none actually exists. Hallucinations, sycophancy, and deepfakes can look real, but none of them are."
"A hallucinated answer isn't a mistake. It's a fully 'baked' response that arrives cloaked in believability, reflecting expectations rather than reality."
"Deepfakes manufacture evidence of something that didn't happen or never existed, breaking the link between perception and reality."
"We are entering a period where the causal structure of knowledge itself is becoming unreliable, as technological outputs lack underlying causal connections."
AI technologies, including large language models, hallucinations, sycophancy, and deepfakes, create an illusion of cause and effect that is not grounded in reality. This results in a cognitive dissonance where individuals feel confident in information that lacks verifiable truth. The structure of knowledge is becoming unreliable, as these technologies produce believable outputs that do not reflect actual events or truths. The combination of these factors disrupts the fundamental understanding of causality in our information environment.
Read at Psychology Today
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