Save us from the reasoning / sentience / consciousness / thinking semantic quicksand.

Babbage’s Analytical Engine didn’t actually analyze anything, and terminology hadn’t gotten any more clear-cut since.

At some level of performance reasoning becomes the most effective method to predict the next token

Isn't "reasoning" in LLMs just training it to have an internal monologue to think through problems like a human would? i.e. extra tokens.

How do you define reasoning in a measurable way?

What’s the difference?