They are LLM generated summaries, sure.
I guess I'm trying to understand your comment. Is there a distinction you're making between LLM summaries or LLM generated text, or are you stating that they aren't being transparent about the summaries being generated by LLMs (as opposed to what? human editors?).
Because at some point when I launched the app, it did say summaries might be inaccurate.
Looks like you found an example where it isn't properly citing the summaries. My guess is that they will tighten this up, because I looked mostly at the first and second page and most of those articles seemed to have citations in the summaries.
Like most people, I would want those everywhere to guard against potential hallucinations. No, the citations don't guarantee that there weren't any hallucinations, but if you read something that makes you go "huh" – the citations give you a low-friction opportunity to read more.
But another sibling commenter talked about the phys.org and google both pointing to the same thing. I agree, and this is exactly an issue I have with other aggregators like Ground.news.
They need to build some sort of graph that distills down duplicates. Like I don't need the article to say "30 sources" when 26 of them are just reprints of an AP/Reuters wire story. That shouldn't count as 30 sources.