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Well, yes, garbage in garbage out. That's a given and not what's meant by "hallucination" in this context.
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the observation goes beyond garbage in garbage out. Mainly that we're always operating from some prior and limited understanding. That what may look like a hallucination could be closer to the truth than our current frameworks of understanding allow us to admit. The hermeneutic circle.
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Interesting. I wonder if current LLMs can break out of human limitations and understand the world more correctly.
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Here are some examples of the questions in the benchmark. If these are representative, they seem pretty cut and dry. https://artificialanalysis.ai/evaluations/omniscience#exampl...
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Was there something about this specific model and submission that made you feel compelled to write this self-evident observation?

Or would you describe your methodology as more like picking a random sentence fragment as an input value then generating completions from your existing corpus without any post-input "learning" process related to the rest of the source material?

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