u/OkPosition6537
Quick note: You cannot poison already trained models.
Starting a conversation with an AI and expecting it to get worse by spouting nonsense won't change anything.
Yes, companies can use conversations to train new models, but these conversations will enter a final training phase, not when the model is establishing its foundations, and they also undergo curation.
That's not how LLMs work, because if they did, they would be useless.
For example, if you're having a conversation about avocados, and the model has to shift the weight of tokens that connect to "green" for the conversation to be more precise, you'd have a completely schizophrenic model for talking about anything other than avocados.
There's some beef between this man and the dog
A produtora disse que nunca viu um centavo dos 61 milhões. Mas o dinheiro foi pros EUA.
To numa terapia que nao posso mais com carboidrato: 0 açucar, 0 arroz, 0 feijao, 0 farinha, 0 padaria, 0 leite, algumas poucas frutas tipo abacate. Não me sobra muita opção.
Com vocês meu couve-flor cozido na mostarda dijon e oregano, ovo mexido com champignon frito no azeite e no creme de pistacho. Ficou uma delicia, fica registrado pra eu lembrar que tava uma delicia e esquecer da vontade animalesca de açucar agora.
Flat earther proves that Earth is a globe.... Again.
In Swordfish (2001), Hugh Jackman is constantly pressing 4,5 and 6 on the keyboard, until he smashes "3456" simultaneously. This scene is not described as realistic by computer experts.
First of all: I've been diagnosed with bipolar disorder. I went through 10 years of failed treatments before receiving a diagnosis that would bring some minimal results for me, and even then they are not definitive results.
Today, the causes of mental illnesses are defined as "biopsychosocial." Literally everything. How can you work scientifically with something that is caused by everything and that we can't test or measure on anything? The symptom tables for some of these illness are radically broad, preventing any precise definition.
The worst, for me, is the "genetic cause." It's theorized that mental illnesses are caused or facilitated by genes, but not by one gene, nor by a defined line of genes, but by dozens of variable genes that together would cause the problems. This makes absolutely no sense; our gene pool is gigantic, and we have genetic lines identical to those of a lot of other random people. Until we have a precise DNA mapping tool, this theory should not be accepted so easily.
This sounds to me similar to how, in the past, populations suffering from nutritional deficiencies and developing illnesses as a result were often labeled as carriers of infectious diseases simply because people close to them presented the same illness. When in reality, what defined proximity was a similar diet causing the same nutritional deficiency.
In my view, saying that a person has a high chance of developing the same illness as their parents because of their blood is an almost outrageous simplification of the possible causes.
It is one of the only fields where science has not yet been able to prove the causes with any degree of precision, and yet theories with numerous flaws are widely accepted.
I'm not saying we should deny the existence of mental illnesses, but rather understand that they have conventional definitions and shouldn't have such weak, widely supported theories based on trial and error instead of understanding the real cause.
We accept conventions and transform them into beliefs for convenience.