Earlier quoted context omitted.
LLMs are very explicitly designed to "understand, and make judgments or have opinions that are based on reason". The learning part is debatable, as is the level of success achieved The mash-up of the entire internet is the mechanism by which they attempt to achieve the goal, not the goal itself. And it's only the first training step
> LLMs are very explicitly designed to "understand, and make judgments or have opinions that are based on reason". I think you've mistaken the sales pitch for the design. Not even the enclopedia anyone can edit comes remotely near that: "A large language model (LLM) is an AI model (typically a neural network) trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs…
I'd argue "analyze text" alone requires understanding, judgements and opinions. They also seem like prerequisites to "following instructions and behaving as assistants". The wikipedia quote is not using the same words, but I don't read it disagreeing with me
I'm not at all claiming that LLMs are good at understanding, judging and having opinions based on reason. I'm merely claiming that is what companies like OpenAI and Anthropic are trying to create when they make LLMs. It is what they are designing, and their fine-tuning is very directly designed to make LLMs better at these tasks (unlike the pre-training, which is just imparting the sum of all human writing)