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Joined 1 year ago
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Cake day: June 23rd, 2023

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  • That’s the thing about automation and training models.

    First, they implement some sort of auto-reporting bot that requires a human to review them. In the beginning, it only about 50% accurate, but as they give it more and more examples of good and bad results through the human reviews, it moves to 80%, then 90%, then 99%, then 99.99% accuracy.

    After a while, the humans on the other end are so numb to the 9999 entries they have to mark as approved that they can barely tell what’s a rejection themselves, and the moderation team is asking itself just what this human review is actually doing. If it’s 99.99% accurate, why not let the bot decide?

    Then, the model moves on from auto-reporting to auto-moderation.

















  • Nebula is only populated by some of the Top 1% of YouTubers who made a name for themselves on YouTube. You can’t get in until you’re already well-known and they approach you. And once you’re in, you’re stuck shilling for Nebula on YouTube for the rest of your days.

    They do not care about the little guy, and expect YouTube to act as its vetting process. It is not a replacement for YouTube. If YouTube went belly up one day, they would not have any place to curate new talent, and would be riding the coattails of whatever ends up being the real replacement for YouTube.


  • No, it doesn’t.

    From Wikipedia:

    Enshittification, also known as platform decay,[1] is a way to describe the pattern of decreasing quality of online platforms that act as two-sided markets.

    From the guy who coined the term itself:

    Here is how platforms die: first, they are good to their users; then they abuse their users to make things better for their business customers; finally, they abuse those business customers to claw back all the value for themselves. Then, they die. I call this enshittification.