One big complaint I have for reading news through RSS, is that there's no natural hierarchy/priority to the news. There's no front page, no headline, no size in RSS feeds. Given the way news agencies generates those feeds, there are _tons_ of repetition, tiny updates, some insignificant one-liner interview about some significant events. Not to mention the "no update at this point" updates. Entries that are not informative look exactly the same as---but often outnumbers---the entries that are informative.
An ideal news feed processor to me, would be one that reads through last weeks RSS feeds, and merges the all those tiny updates into coherent articles, ranked by the significance of the event. Sort of turning newspaper into a journal.
The merging and reflow should be well-within an LM's capability. However, I'm not sure if OpenAI's API can swallow an entire week's worth of RSS, or produce multiple full-sized articles, but this is something that I'd like to try when I get some free weekends.