Comment on This new data poisoning tool lets artists fight back against generative AI
MxM111@kbin.social 11 months agoI would not call it “fundamentally” different at all. Compared to, say, regular computer running non-neural network based program, they are quite similar, and have similar properties. They can make a mistake, hallucinate, etc.
kayrae_42@lemmy.world 11 months ago
As a person who has done machine learning, and some ai training and who has a psychotic disorder I hate they call it hallucinations. It’s not hallucinations. Human hallucinations and ai hallucinations are different things. One is based of limited data , bias, or a bad data set with builds a fundamentally bad neural network connection which can be repaired. The other is something that can not be repaired, you are not working with bad data, your brain can’t filter out data correctly and you are building wrong connections. It’s like an overdrive of input and connections that are all wrong. So you’re seeing things, hearing things, or believing things that aren’t real. You make logical leaps that are irrational and not true and reality splits for you. While similarities exist, one is because people input data wrong, or because they cleaned it wrong, or didn’t have enough. And the other is because the human brain has wiring problem caused by a variety of factors. It’s insulting and it also humanizes computers to much and degrades people with this illness.
MxM111@kbin.social 11 months ago
As I understand, healthy people hallucinate all the time, but in different sense, non-psychiatric sense. It is just healthy brain has this extra filter that rejects all hallucinations that do not correspond to the signal coming from reality, that is our brain performs extra checks constantly. But we often get fooled if we do not have checks done correctly. For example, you can think that you saw some animal, while it was just a shade. There is even statement that our perception of the world is “controlled hallucination” because we mostly imagine the world and then best fit it to minimize the error from external stimuli.
Of course, current ANNs do not have such extensive error checking, thus they are more prone to those “hallucinations”. But fundamentally those are very similar to what we have in those “generative suggestions” our brain generates.
kayrae_42@lemmy.world 11 months ago
Those aren’t quite the same as a hallucination. We don’t actually call them hallucinations. Hallucinations are a medical term. Those are visual disturbances not “controlled hallucinations”. Your brain filtering it out and the ability to ignore it makes it not a hallucination. It’s hallucinations in a colloquial sense not medical.
Fundamentally AI is not working the same, you are having a moment of where a process from when in the past every shadow was a potential danger so seeing a threat in the shadow first and triggering fight or flight is best for you as a species. AI has no fight or flight. AI has no motivation, AI just had limited, bad, or biased data that we put there and spits out garbage. It is a computer with no sentience. You are not really error checking, you are processing more information, or reassessing once the fight/flight goes down. AI doesn’t have more information to process.
Many don’t see people with psychotic disorders as equal people. They see them as dangerous, and and people to be locked away. They use their illnesses and problems as jokes and slurs. Using terms for their illness in things like this only adds to their stigma.
MxM111@kbin.social 11 months ago
You are arguing about terminology use. Please google "controlled hallucinations" to see that people do use the term in non-psychiatric way.