I wanted to use gpt-4o to refactor the code of the trie-hard crate that was featured on hacker news recently. I thought if I removed the enums from the library, I can better understand the simplified code and might be able to play with different trie implementations in rust. Then I woke up today and read the announcement for ChatGPT-o1, had the idea to compare ChatGPT-o1 with ChatGPT-4o on the task of doing this refactoring.
This is a follow-on from the original blog post Extracting HN Book Recommendations with the ChatGPT API.
Method used In the original post I didn’t describe the process used to arrive at the results. I originally had a much longer post with much discussion about the process, but it was too long and the structure was poor, so I rewrote it in a more concise form. In the process I excluded the explanatory stuff.
2023-10-12: I have written a followup with some details about the process used to generate this list: Extracting HN Book Recommendations with the ChatGPT API, Vol. II
I love books and I enjoy reading through the Hacker News (HN) book recommendation threads. On HN, there’s almost 200 stories so far this year that have the separate word “book” in the title, and aren’t linked to another page. I wondered what the most commonly recommended or mention books are.