story
You did not plan the entire thing, every word, ahead of time.
LLMs do the same thing, so... how is your intelligence any different?
Not that it matters, there's evidence that while LLMs output one word at a time, they've got forward-planning going on, having an idea of the end of a sentence before they get there.
Furthermore, when you ask an LLM to count how many r's are in the word strawberry, it will give you a random answer, "think" about it, and give you another random answer. And I guarantee you out of 3 attempts, including reasoning, it will flip-flop between right and wrong, but unlike a human, it will be random, because, unlike humans who, when asked "how many r's are in the word strawberry" will not be able to tell you the correct answer every. fucking. time.
edit: formatting
> How does Claude write rhyming poetry? Consider this ditty:
> He saw a carrot and had to grab it,
> His hunger was like a starving rabbit
> To write the second line, the model had to satisfy two constraints at the same time: the need to rhyme (with "grab it"), and the need to make sense (why did he grab the carrot?). Our guess was that Claude was writing word-by-word without much forethought until the end of the line, where it would make sure to pick a word that rhymes. We therefore expected to see a circuit with parallel paths, one for ensuring the final word made sense, and one for ensuring it rhymes.
> Instead, we found that Claude plans ahead. Before starting the second line, it began "thinking" of potential on-topic words that would rhyme with "grab it". Then, with these plans in mind, it writes a line to end with the planned word.
[https://www.anthropic.com/research/tracing-thoughts-language...]
