A monthly generative AI hackathon called Sundai Club focuses on building useful tools, with a recent session dedicated to exploring applications for journalists. The group brainstormed ideas like tracking political posts on TikTok, automating FOIA requests, and summarizing court hearings, ultimately choosing to develop a tool that helps reporters identify interesting papers posted to the Arxiv.
You hardly need ChatGPT to generate a list of reasons why generative artificial intelligence is often less than awesome. The way algorithms are fed creative work often without permission, harbor nasty biases, and require huge amounts of energy and water for training are all serious issues. Putting all that aside for a moment, though, it is remarkable how powerful generative AI can be for prototyping potentially useful new tools.
Using another word embedding of Reddit threads as well as a Google News search, the coders created a visualization that shows research papers along with Reddit discussions and relevant news reports. The resulting prototype, called AI News Hound, is rough-and-ready, but it shows how large language models can help mine information in interesting new ways. Here’s a screenshot of the tool being used to search for the term “AI agents.
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