[vunderba]

Not bad.

As someone who has dabbled in AI generated crosswords I found that providing samples of "good crossword clues" (which I curated from historical NYT monday puzzles) as part of the LLM context helped tremendously in generating better clues.

There was also a Show HN for a generative AI crossword puzzle system a few months ago so I'll include what I mentioned there:

Part of the deep satisfaction in solving a crossword puzzle is the specificity of the answer. It's far more gratifying to answer a question with something like "Hawking" then to answer with "scientist", or answering with "mandelbrot" versus "shape".

So ideally, you want to lean towards "specificity" wherever possible, and use "generics" as filler.

Link:

https://news.ycombinator.com/item?id=41879754

[abstractbill]

Thanks. Yes, specificity of solutions seems like a good metric to optimize for.

In some of my crosswords I get clues that are specific in clever ways (e.g. one of these has "Extreme, not camping" which I thought was really strange until I found the answer "intense" and was very impressed by that level of wordplay from an LLM!)