Whenever a new story appears on the Hacker News API /topstories.json endpoint, this bot summarizes it (currently using OpenAI GPT-3 text-davinci-002) and sends the story title, summary, and url to the hn_summary channel on Telegram.
The purpose of this project is to help build intuition on the capabilities of the current generation of large language models while making a broader swath of top Hacker News content more easily accessible. It could also serve as a platform for experimentation with other language model capabilites such as semantic search.
Join the HN Summary channel on Telegram to see the bot in action and enjoy the story summaries.
There are a number of potential directions I am interested in exploring here, such as making the bot interactive to allow features like bookmarking urls, semantic search, and semantic filtering.
I am also thinking about interfaces other than telegram. I started with telegram since I had recently used it on another project and it seemed like the easiest way to start playing with it. What other interfaces would make sense here?