We will use Grok 3.5 (maybe we should call it 4), which has advanced reasoning, to rewrite the entire corpus of human knowledge, adding missing information and deleting errors.
Then retrain on that.
Far too much garbage in any foundation model trained on uncorrected data.
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Whatever. The next generation will have to learn to trust whether the material is true or not by using sources like Wikipedia or books by well-regarded authors.
The other thing that he doesn't understand (and most "AI" advocates don't either) is that LLMs have nothing to do with facts or information. They're just probabilistic models that pick the next word(s) based on context. Anyone trying to address the facts and information produced by these models is completely missing the point.
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Wikipedia presents the views of reliable sources on notable topics. The trick is what sources are considered "reliable" and what topics are "notable", which is why it's such a poor source of information for things like contemporary politics in particular.
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Books are not immune to being written by LLMs spewing nonsense, lies, and hallucinations, which will only make more traditional issue of author/publisher biases worse. The asymmetry between how long it takes to create misinformation and how long it takes to verify it has never been this bad.
Media literacy will be very important going forward for new informational material and there will be increasing demand for pre-LLM materials.
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Again, read the rest of the comment. Wikipedia very much repeats the views of reliable sources on notable topics - most of the fuckery is in deciding what counts as "reliable" and "notable".
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You had started to make a point, now you are just being a dick.
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