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For example, if you're comparing different software tools, create an actual comparison table with columns for features, pricing, pros, and cons rather than describing each tool in paragraph form. If you're explaining a multi-step process, number the steps and use consistent formatting for each. If you're providing examples, use a predictable structure where each example follows the same pattern.

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In a 2023 living note from Shalizi, it's proposed that LLMs are Markov. Therefore there's nothing special about them other than being large; any other Markov model would do just as well. Shalizi therefore proposes Large Lempel-Ziv: LZ78 without dictionary truncation. This is obviously a little silly, because Lempel-Ziv dictionaries don't scale; we can't just magically escape asymptotes. Instead, we will do the non-silly thing: review the literature, design novel data structures, and demonstrate a brand-new breakthrough in compression technology.

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