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Cake day: July 14th, 2024

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  • for example, “have seen revenues jump from zero to $20 million in a year,” he said. “It’s because they pick one pain point, execute well, and partner smartly with companies who use their tools,” he added.

    Sounds like they were able to sell their AI services. That doesn’t really measure AI success, only product market success.

    Celebrating a revenue jump from zero, presumably because they did not exist before, is… quite surprising. It’s not like they became more efficient thanks to AI.




  • DNS is a listing of address resolution. Ignoring/Dropping records is not modifying existing entries/mappings. That’s a different thing in my eyes.

    If the ruling were to declare published content must not be modified, I think there’s multiple levels to it too, and it may dictate to any degree between them.

    1. Interpretative tools (like a screen reader would be, or forced high contrast mode), which may be classified accessibility too
    2. CSS hacks that change display style but not what is shown (for example forcing a dark mode, reduced spacing, or bigger font sizes)
    3. CSS hacks or ad blockers that modify or hide content (block ads that would otherwise be rendered)

    The biggest danger for a “copyright violation” would be the last point. Given that styling is part of the website though, “injection with intent to modify” may very well be part of it too, though.

    It certainly would go directly against the open web with all of its advantages.

    /edit: Comment by manxu, who read the ruling, is a lot less alarming.






  • But what we find is that it’s not just that this content spreads; it also shapes the network structures that are formed. So there’s feedback between the effective emotional action of choosing to retweet something and the network structure that emerges. And then in turn, you have a network structure that feeds back what content you see, resulting in a toxic network. The definition of an online social network is that you have this kind of posting, reposting, and following dynamics. It’s quite fundamental to it. That alone seems to be enough to drive these negative outcomes.

    Trying to grasp it in my own words;

    Because social networks are about interactions and networks (follows, communities, topics, instances), they inherently human nature establish toxic networks.

    Even when not showing content through engagement-based hot or active metrics, interactions will push towards networking effects of central players/influencers and filter and trigger bubbles.

    If there were no voting, no followable accounts or communities, it would not be a social network anymore (by their definition).



  • Did you read the article? Their findings were that not using such algorithms did not have the expected effect. That social networks themselves, by their nature, lead to similar network, filter, and trigger effects. Chronological order made it worse, not better, apparently.

    The engagement driven algorithms making it worse seems intuitive. So I’m surprised and skeptical too. I haven’t read their paper, only the article/interview.