I’ve been experimenting with a project that generates short daily news briefings personalized to a user’s interests. The idea came from realizing how much time I was spending scrolling through multiple news sites every morning just trying to figure out what actually mattered that day. I wanted something closer to a short daily audio briefing instead. The system currently works roughly like this: • Collect recent news articles from multiple sources • Rank stories using a scoring algorithm to identify the most relevant ones • Filter based on a user’s topic preferences (AI, tech, markets, etc.) • Generate summaries of the selected stories • Assemble the summaries into a short briefing (~5–7 minutes) • Convert the final briefing into audio The goal is to create something like a personalized daily news podcast, but generated automatically from current articles. I’m still experimenting with the pipeline and would be really interested in feedback from people here, especially on: • story ranking approaches • summarization quality • whether personalization actually improves news consumption If anyone is curious about the prototype, it’s here: https://pulsemedialaboratories.com/listen I’d also be interested in hearing whether people think AI-generated personalized news briefings are actually a good direction for news consumption, or if editorial curation will always be better. submitted by /u/OGstudlystud
Originally posted by u/OGstudlystud on r/ArtificialInteligence
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