Comment by ACCount37

Your mistake is thinking that the user wants an algorithm that solves Wordles efficiently. Or that making and invoking a tool is always a more efficient solution.

As opposed to: the user is a 9 year old girl, and she has this puzzle in a smartphone game, and she can't figure out the answer, and the mom is busy, so she asks the AI, because the AI is never busy.

Now, for a single vaguely Wordle-like puzzle, how many tokens would it take to write and invoke a solver, and how many to just solve it - working around the tokenizer if necessary?

If you had a batch of 9000 puzzle questions, I can easily believe that writing and running a purpose specific solver would be more compute efficient. But if we're dealing with 1 puzzle question, and we're already invoking an LLM to interpret the natural language instructions for it? Nah.