Advances? First we have to actually invent it. Text LLMs are just word prediction and generative models generally are neither intelligent nor have much room to grow at this point. And aside from that, every model is only as good as the training data it was trained on. If you train a model on smut and romance novels, then you have your perfect little eRP model for kinky chats, if you train your model on various programming languages then you have a good coding assistant, if you train your model on Reddit then you have an insufferable racist edgelord who wants to see the world burn. Point being, models are flawed in every sense of the meaning. All their word predictions end up going back to what humans have written in the past. All their word predictions have an inherent randomness to them due to how LLMs work, making them unreliable in their output, which includes even the best and largest models with access to the largest databanks & indexes out there. But the again, the biggest flaw is that they are not actually AI. They have no thoughts on their own, they don't really evaluate things on various factors. They all just still follow their simple programming of mimicking language, without being aware of anything. If you want to have a computer like this run your politics then go right ahead, but you already have to ask yourself, what model do we use? Based on what data - since it is inherently biased? How often can we re-roll / regenerate an answer until we like its outcome? Who has oversight over it? Because ultimately it's that person who is the decision maker. Politicians, for all their flaws, are still intelligent human beings that can be reasoned with. A computer can't be really swayed, not in the classical sense. You can sway a chatbot easily, because they typically use your chat history as context for their own output. This is inherently flawed because it means that the existing chat history will sort of lead the future responses, but it's incredibly limited due to context size requiring such vast amounts of vram / ram and processing power. That's why current models are sort of at their limit, sans some optimizations. You can't just upscale them because their energy requirements grow exponentially faster than their actual text output.

TLDR: "AI" is just overhyped corporate marketing of something that comes down to word prediction, fueled by sensationalist media scaremongering from people who don't understand how LLMs work. Using them for decision making would just give power to the shadowy person who oversees the model and its flawed bias of its training data.