If that’s the case, then we anthropomorphize technology all the time. Like, constantly. How many times has your phone died when its not even alive? How does a phone drop a connection without hands? We feed a computer input and it regurgitates or spits out output, all without a mouth. The examples are endless but hard to immediately pick out, because the usage has changed to be completely commonplace. Even bytes were originally conceived as a play on words with ‘bite sized’ to refer to a small collection of bits. I don’t necccessarily defend these ‘AI’ tools, but policing the language people use ain’t it. Changing the word hallucinate to refer to a part of technology is exactly how language has functioned since always
that’s literally how it works though, the software is trained to remove noise from images and then you feed it pure noise and tell it there’s an image behind it. If that’s not hallucination idk what would be.
so is calling it fabrication. something incapable of knowing what is true cannot lie.
also, gpts and image generators are fundamentally different technologies sharing very little code beyond the basic matrix manipulation stuff, so the definition of truth needs to be very different.
*shrugs
I think calling it a hallucination is anthropomorphizing the technology.
If that’s the case, then we anthropomorphize technology all the time. Like, constantly. How many times has your phone died when its not even alive? How does a phone drop a connection without hands? We feed a computer input and it regurgitates or spits out output, all without a mouth. The examples are endless but hard to immediately pick out, because the usage has changed to be completely commonplace. Even bytes were originally conceived as a play on words with ‘bite sized’ to refer to a small collection of bits. I don’t necccessarily defend these ‘AI’ tools, but policing the language people use ain’t it. Changing the word hallucinate to refer to a part of technology is exactly how language has functioned since always
that’s literally how it works though, the software is trained to remove noise from images and then you feed it pure noise and tell it there’s an image behind it. If that’s not hallucination idk what would be.
so is calling it fabrication. something incapable of knowing what is true cannot lie.
also, gpts and image generators are fundamentally different technologies sharing very little code beyond the basic matrix manipulation stuff, so the definition of truth needs to be very different.