Earlier quoted context omitted.
Writing summaries of documents and correspondence is one of the major use cases of those models. Desensitionalization and debullshittification are very similar to summarization, so it stands to reason LLMs should handle these tasks just as well.
Summarized bullshit is still bullshit akin to a polished turd. Given that the choice of which articles to write is incredibly biased to begin with this approach does not seem effective. What could theoretically work is an “AI news agency” that “summarizes” many different sources to generate unbiased articles.
NewsMinimalist does this, it’s quite interesting. I’ve been using it since its introduction, and its been a fun way to get lots of summarized, de-sensationalized headlines. Specifically I enjoy setting it to 6.0 and reading the headlines that have impact that didn’t quite reach the 6.5+ threshold.