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Until it makes shit up that the original work never said.
The services I use, Kagi's autosummarizer and DeepL, haven't done that when I've checked. The downside of the summarizer is that it might remove some subtle things sometimes that I'd have liked it to keep. I imagine that would occur if I had a human summarize too, though. DeepL has been very accurate.
LLMs are especially bad for summarization for the use case of presenting search results. The source is just as critical of information for search as the information itself, and LLMs obfuscate this critical source information and combine results from multiple sources together...