Raw LLM Responses

Let's do an actual criticism of "AI"... AI or Artificial Intelligence is not just generating pictures of cats or generating your English essay. It is way broader term than just that. Some examples of Artificial Intelligence may include almost all recommendation algorithms, search algorithms, computer vision, speech recognition, automation, and many more. Because Artificial Intelligence is such a broad term, researching in one domain may influence other domains further. You could draw a line that connects ChatGPT and DeepMind because they used the same technology. The same can be said for Midjourney or Stable diffusion and RF Diffusion to generate new proteins for specific functions. These models are not a fiction. They are reality, and they have already been used in many ways. (Let's take an example from the video source) When you are trying to halt the progression of Generative AI, should you be entitled to a vaccine for malaria? I know that this question is a bit of a stretch. But it paints the picture. One more thing that should be noted. High-quality data is more important than more data, and better training algorithms are more important than high-quality data. This implication can be reduced to: Algorithms > Quality of the data > Amount of data. If "poisoned" pictures can't be used as reliable training data, then they might not be used in the first place. I think that should be the goal for artists: "Not to destroy but to coexist". What I would advocate for is a simple way to "destroy" a resource for the machine but not for the human. What I am against is trying to damage the system. Source video that I mentioned: https://youtu.be/P_fHJIYENdI Sources used to create the claims: My university program for Artificial Intelligence (CTU Open Informatics) P.S. I am aware that I may have biases for this topic since I am primarily a programmer then artist, but I don't think that the biases invalidate my perspective