What people believe that is not accurate.
THAT IT UNDERSTANDS WHAT IT WRITES
It produces statistically likely text. Whether that constitutes understanding is a philosophical question; practically, it does not behave like something that understands.
THAT IT LEARNS FROM YOUR CONVERSATION
Most systems do not update themselves from your input. The conversation is context, not training.
THAT IT SEARCHES THE INTERNET
Only if specifically designed to. A plain language model generates from what it learned during training.
THAT IT IS ALWAYS IMPROVING BY ITSELF
Models improve when retrained by their developers, not continuously.
THAT IT WILL REPLACE ALL JOBS IMMEDIATELY
It changes tasks within jobs faster than it eliminates jobs entirely. The picture is more gradual than headlines suggest.
THAT IT IS NEUTRAL
It reflects patterns in its training data, including biases in that data.
THAT MORE EXPENSIVE MEANS MORE ACCURATE
Larger models are generally more capable and still hallucinate.
THAT YOU CANNOT TELL AI WRITING
Frequently you can, and detection tools are unreliable in both directions.
