They sure will. Here's a quick analysis of how, from my perspective as someone who studies societal impacts of natural language technology:

First, some guesses about system components, based on current tech: it will include a very large language model (akin to GPT-3) trained on huge amounts of web text, including Reddit and the like.

It will also likely be trained on sample input/output pairs, where they asked crowdworkers to create the bulleted summaries for news articles.

The system will be some sort of encoder-decoder that "reads" the news article and then uses its resulting internal state to output bullet points. Likely no controls to make sure the bullet points are each grounded in specific statements in the article.

(This is sometimes called "abstractive" summarization, as opposed to "extractive", which has to use substrings of the article. Maybe they're doing the latter, but based on what the research world is all excited about right now, I'm guessing the former.)