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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)BL
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2 yr. ago

  • I've already predicted that scraper activity would crash due to AI in my most recent MoreWrite essay, and seeing this only makes me confident in that assessment.

    On a wider front, I suspect that web search in general's gonna dive in popularity - even if scraper activity remains the same during the AI winter, the bubble (with plenty of help from Google) has completely broken the web ecosystem which allowed search engines (near-exclusively Google) to thrive, through triggering a slop-nami that drowned human-made art, supercharging SEO's ability to bury quality output, and enabling AI Summary™ services which steal traffic through stealing work.

  • Basically. Its to explicitly prevent Xe from becoming the load-bearing peg for a massive portion of the Internet, thus ensuring this project doesn't send her health down the shitter.

    You want my prediction, I suspect future FOSS projects may decide to adopt mascots of their own, to avoid the "load-bearing maintainer" issue in a similar manner.

  • …You know, if I actually believed in the whole AGI doom scenario (and bought into Eliezer’s self-hype) I would be even more pissed at him and sneer even harder at him. He basically set himself up as a critical savior to mankind, one of the only people clear sighted enough to see the real dangers and most important question… and then he totally failed to deliver. Not only that he created the very hype that would trigger the creation of the unaligned AGI he promised to prevent!

    As the cherry on top of this shit sundae, the bubble caused by said hype dealt devastating damage to the Internet and the world at large in spite of failing to create the unaligned AGI Yud was doomsaying about, and made people more vulnerable to falling for the plagiarism-fueled lying machines behind said bubble.

  • Now we need to make a logic puzzle involving two people and one cup. Perhaps they are trying to share a drink equitably. Each time they drink one third of remaining cup’s volume.

    Step one: Drink two-thirds of the cup's volume

    Step two: Piss one sixth of the cup's volume

    Problem solved

  • Two ferrymen and three boats are on the left bank of a river. Each boat holds exactly one man. How can they get both men and all three boats to the right bank?

    Officially, you can't. Unofficially, just have one of the ferrymen tow a boat.

  • Hey, remember the thing that you said would happen?

    The part about condemnation and mockery? Yeah, I already thought that was guaranteed, but I didn't expect to be vindicated so soon afterwards.

    EDIT: One of the replies gives an example for my "death of value-neutral AI" prediction too, openly calling AI "a weapon of mass destruction" and calling for its abolition.

  • Discovered some commentary from Baldur Bjarnason about this:

    Somebody linked to the discussion about this on hacker news (boo hiss) and the examples that are cropping up there are amazing

    This highlights another issue with generative models that some people have been trying to draw attention to for a while: as bad as they are in English, they are much more error-prone in other languages

    (Also IMO Google translate declined substantially when they integrated more LLM-based tech)

    On a personal sidenote, I can see non-English text/audio becoming a form of low-background media in and of itself, for two main reasons:

    • First, LLMs' poor performance in languages other than English will make non-English AI slop easier to identify - and, by extension, easier to avoid
    • Second, non-English datasets will (likely) contain less AI slop in general than English datasets - between English being widely used across the world, the tech corps behind this bubble being largely American, and LLM userbases being largely English-speaking, chances are AI slop will be primarily generated in English, with non-English AI slop being a relative rarity.

    By extension, knowing a second language will become more valuable as well, as it would allow you to access (and translate) low-background sources that your English-only counterparts cannot.