Even large hosted models fail at that task regularly. It's a silly anecdotal example, but I asked the Gemini assistant on my Pixel whether [something] had seen a new release to match the release of [upstream thing].
It correctly chose to search, and pulled in the release page itself as well as a community page on reddit, and cited both to give me the incorrect answer that a release had been pushed 3 hours ago. Later on when I got around to it, I discovered that no release existed, no mention of a release existed on either cited source, and a new release wasn't made for several more days.
Yup which is why these models are so exciting!
They are specifically training on webbrowsing and python calling.
Shouldn't we prefer to have LLMs just search and summarize more reliable sources?