38 lines
2.2 KiB
Markdown
38 lines
2.2 KiB
Markdown
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title = "On Mark Zuckerberg's recent claims"
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lastmod = 2024-09-27T20:20:20+02:00
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tags = ["copyright", "zuckerberg"]
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categories = ["tech", "llm"]
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draft = false
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meta = true
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[menu]
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[menu.posts]
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weight = 3001
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identifier = "on-mark-zuckerberg-s-recent-claims"
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The other day, a post on the Fediverse caught my attention, linking to [this article from The Verge.](https://www.theverge.com/2024/9/25/24254042/mark-zuckerberg-creators-value-ai-meta) I thought I'd make some things clear.
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This isn't the only website I run; in fact, this is not even the largest. I have written books worth of commentary and articles dealing with a variety of topics, a lot of which pertain to difficult, labyrinthine and opaque matters.
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The time I spent writing these wasn't free. The time I spent researching wasn't free. And as tradition demands, I put very few restrictions on the use of my writing; my only requirements for printing, copying, and distribution are that:
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1. If you find errors, let me know so I can fix them.
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2. The text must be whole, with all the notes and edits and footnotes and sidenotes and margin-notes.
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3. You're not allowed to charge for copies. At all. If you want to send someone a copy, cover the cost yourself.
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4. You're not allowed to paywall it; reproductions must remain free to access, and be complete.
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5. You're not to use my writing for machine learning or training 'ai' models of any sort.
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I don't think that's unfair; if anything, some of the articles I've written have taken years to put together.
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The idea that the value of my specific content is 'overestimated', to the point where I'd give up ownership of it, is silly.
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I'm not arguing that I should be paid for them using my work. I'm stating that my work should be accessible freely and, in its entirety.
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I have seen enough silliness from LLMs to know that they can't be trusted to faithfully reproduce complex writing, and the last thing I wish for myself is to be accused of claims I did not make.
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In short: Zucc, my writing doesn't exist to fuel climate change by training massive data matrices that can't even answer simple questions reliably.
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Wouldn't it be so much easier to use tools that algorithmically, predictably, reliably solve problems, instead of... whatever this is?
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