this post was submitted on 11 Mar 2026
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166
How Much Do LLMs Hallucinate in Document Q&A Scenarios? A 172-Billion-Token Study Across Temperatures, Context Lengths, and Hardware Platforms [TLDR: 25%] (arxiv.org)
submitted 1 day ago* (last edited 1 day ago) by RandAlThor@lemmy.ca to c/technology@lemmy.world
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Evaluating 35 open-weight models across three context lengths (32K, 128K, 200K), four temperatures, and three hardware platforms—consuming 172 billion tokens across more than 4,000 runs—we find that the answer is “substantially, and unavoidably.” Even under optimal conditions—best model, best temperature, temperature chosen specifically to minimize fabrication—the floor is non-zero and rises steeply with context length. At 32K, the best model (GLM 4.5) fabricates 1.19% of answers, top-tier models fabricate 5–7%, and the median model fabricates roughly 25%.

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[–] Zink@programming.dev 5 points 1 day ago

I'm no expert and don't care to become one, but I understand they generally trained these models on the entire public internet plus all the literature and research they could pirate.

So I would expect the outputs of those models to not be some kind of magical correct description of the world, but instead to be roughly "this passes for something a person on the internet might write."

It does the thing it was designed to do pretty well. But then the sociopathic grifters tried to sell it to the world as a magic super-intelligence that actually knows things. And of course many small-time wannabe grifters ate it up.

What LLMs do is get you a passable elaborate forum post replying to your question, written by an extremely confident internet rando. But it's done at computer speed and global scale!