• @osmn@lemmy.ml
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    1 year ago

    Reddit was popularized especially for mobile mostly due to third party apps. Reddit didn’t have a mobile app for the longest time for some reason or another, so rif, Baconreader, Apollo, etc. All brought people in.

    Reddit is biting the hand that feeds, and they’ll probably get away with it. They wouldn’t even be where they are without those apps. Traitors.

  • @dumpling
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    11 months ago

    deleted by creator

    • LvxferreOP
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      51 year ago

      I’m curious to see what they’re going to talk about Apollo in the WWDC. Or how Reddit is killing it.

      “Devs: don’t bother with Reddit, it’s a hostile platform!” would be a big win.

    • I think that in itself shows how much killing the api is a bigger deal than how some act it is. Apple is a big company that (presumably) prefers and acknowledges the third party over the mainline app

  • internet-user
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    31 year ago

    I listened to the interview of Apollo’s dev, and the interviewer brought up a good point (the only good point I’ve heard on the other side of this). Natural language models are becoming very popular, and lots of companies are building them. To do this, they are scraping the web, and especially places like Reddit. It sounds like Reddit wants to capitalize on this by increasing their API’s to these (absurdly) high prices.

    • LvxferreOP
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      1 year ago

      I mentioned this in another discussion, but even if Reddit is trying to milk the people paying to access the API for data models for NLP, this is still a bad move. Even the ones who stay behind in Reddit will be less engaged; and lack of engagement in this case means shorter, decontextualised sentences, conveying almost nothing. It’s the difference between a well-thought reply and a “lol”.

      So the data will quickly become useless, and even the ones who might pay for it at the start will eventually say “why bother? Reddit only adds noise to our models.” and stop paying.

      And it’s a bit off-topic, but about NLP, I think that brute-forcing (feed it more data) is counter-productive in the long run, too. Humans actually learn language (how to use it, not just how to utter grammatically sound but meaningless sentences) with considerably less exposure.

      • internet-user
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        21 year ago

        Yes, very good points. I am not a ML expert by any means, but it does seem like companies are in a bit of an arms race right now, and are just trying to grow large models without doing it properly.

  • Liforra
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    24 months ago

    Main reason i switched, glad i did. I Love it here