Which ones were these “progressives”? Because I very much think that anyone running anything was self-proclaimed moderate at best.
But, considering that you wanted Trump to win anyway, I’m pretty sure you’re just a fucking loser with zero idea of what you’re talking about.
I don’t necessarily think you have to get on board with a party. In some ways, I understand the plight. A lot of politics caters to the rich, and if we have a two party system and they both show disdain for you, it feels like that’s it. However, a lot of party politics can be done at a local level, and while that is a generic answer, it is the answer. You can change your local party to cater to you because you make up a bigger proportion, and you can get your neighbors on board too. Show up and question your local politicians and they will be forced to change or they can be replaced.
It’s a boring answer, but it’s unfortunately what you have. Focusing on the big politics isn’t feasible.
I think both sides are up to their ears in corruption. Does that make me a loser?
Yeah, probably. Centrism is a loser ideology.
But that’s exactly how an LLM is trained. It doesn’t know how words are spelled because words are turned into numbers and processed. But it does know when its dataset has multiple correlations for something. Specifically, people spell out words, so it will regurgitate to you how to spell strawberry, but it can’t count letters because that’s not a thing that language models do.
Generative AI and LLMs are just giant reconstruction bots that take all the data they have and reconstruct something. That’s literally what they do.
Like, without knowing what your answer is for assassin, I will assume that your issue is that the question is probably “How many asses are in assassin?” But, like, that’s a joke. Assassins only has one ass, just like the rest of us. That’s a joke. And nobody would ever spell assassin as assin, so why would it learn that there are two asses in assassin?
I’m confused where you are getting your information from, but this is not particularly special behavior.
Actually, the Rs issue is funny because it WAS trained on that exact information which is why it says strawberry has two Rs, so it’s actually more proof that it only knows what it has been given data on. The thing is, when people misspelled strawberry as “strawbery”, then naturally, people respond, " Strawberry has two Rs." The problem is that LLM learning has no concept of context because it isn’t learning anything. The reinforcement mechanism is what the majority of its data tells it. It regurgitates that strawberry has two Rs because it has been reinforced by its dataset.
Lmao. This idiot just said helping black people hurts white people, and vice versa.