One of Spez’s answers in the infamous Reddit AMA struck me

Two things happened at the same time: the LLM explosion put all Reddit data use at the forefront, and our continuing efforts to reign in costs…

I am beginning to think all they wanted to do was getting their share of the AI pie, since we know Reddit’s data is one of the major datasets for training conversetional models. But they are such a bunch of bumbling fools, as well as being chronically understaffed, the whole thing exploded in their face. At this stage their only chance if survival may well be to be bought out by OpenAI…

  • shortwavesurfer@monero.house
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    1 year ago

    Yes, but it could have been handled better. If ai was the problem they could have gone the route of api only being allowed after an application process so they know who is using it and everyone else trying to use it would get denied until they were assigned a key

    • jay@beehaw.org
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      1 year ago

      100% and they also didn’t need to be total tools about it. giving a month window is a joke, being snarky assholes answering AMAs, telling their user base that profitability is the only thing that matters to them.

      Surprising nobody, Reddit continues to make really awful business decisions. This is just another nail in their coffin.

    • Scrubbles@poptalk.scrubbles.tech
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      1 year ago

      This right here. They could have made a licensing agreement that is based on classification your use falls into. Apps has one pricing model, llm has another. This is just lazy and greedy.

    • naeap@sopuli.xyz
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      1 year ago

      I’m thinking, that they want to sell the generated data to AI companies as training data - and AI generated content would nullify that

      edit: and obviously currently everyone can suck their data for free - although I don’t know how that should be different with their changes, if I just use a web scraper

  • iMeddles@fedia.io
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    1 year ago

    Charging for their api is reasonable in answer to the llm data scrapers. The amount they’re chsrging, and the speed of the changes is not reasonable however IMO.

    • JohnDClay@sh.itjust.works
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      1 year ago

      The original announcement said they were making exceptions for applications that gave back to Reddit. I and many others hoped that was basically everyone who wasn’t AI scraping. But seems like they got greedy while they were at it and decided to kill everything

  • whofearsthenight@beehaw.org
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    1 year ago

    Could they have something to do with it? Yes, for sure. But the thing is that they didn’t have to do any of this the way they did. They could have made an API plan that allowed third party apps to still exist/thrive, and also charge big companies that just want to use reddit to train LLM’s. Change the pricing/terms based around this idea. They deliberately went after third party apps, and then double and tripled down on it in the face of massive backlash. If spez was competent, he would have been able to better pivot this conversation and make it about training LLM’s for megacorps, but he didn’t and even then it would have still been bullshit that is easily seen past.

  • spoonful@beehaw.org
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    1 year ago

    Reddit data is public and can be easily web scraped. Reddit doesn’t own it. Spez is just throwing random memes in to distract people.

    • gotofritz@beehaw.orgOP
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      1 year ago

      I am sorry but you don’t know what you are talking about. These things are regulated by legal documents, you don’t just wake up on morning and say “trust me bro, their data is public”

      If you go and read their TnC’s it explicitly statea that scraping is forbidden without prioir written consent. They only allow access to their data via APIs, which of course they charge for

      The fact that it can be easily scraped it’s neither here nor there, if they catch you they can sue you

      • spoonful@beehaw.org
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        1 year ago

        Nah Terms of Service is not enforcable through browse wrap agreement in the US and most of EU. You can’t implicitly agree with a legal document just by looking at something.

        Check out LinkedIn vs Hiq case which went to 9th circuit and set the precedent for this.

      • deegeese@sopuli.xyz
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        1 year ago

        99% of LLMs have pirated content and will continue to regurgitate pirated content until there is enough money at stake for a big lawsuit.

        • gotofritz@beehaw.orgOP
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          1 year ago

          Getty is already suing the Dall-E creators, and someone is suing MS for Copilot; so it’s already started

            • gotofritz@beehaw.orgOP
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              1 year ago

              Sure but I’m not sure why you are bringing this up. What’s the wider point you are trying to make?

          • spoonful@beehaw.org
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            1 year ago

            I’m still perplexed that some people are siding with evil ass Getty in that case. At least the copilot case has some merit but I don’t see how Microsoft could lose as that would set precedent for whole AI in the US and no way US is letting that disadvantage to happen. It’s meme-level lawsuits.

            • gotofritz@beehaw.orgOP
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              1 year ago

              Just speculation, but I think it’s because people think Getty can hire top class laywers and therefore has a better chance of winning compared to, say, the group of artists who were also taking Dall-E to court

      • Fubarberry@aiparadise.moe
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        1 year ago

        Unless I’m mistaken and something is different, this hasn’t been a problem for tools like newpipe, YouTube vanced, and fritter.

  • rubythulhu@beehaw.org
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    1 year ago

    Yup. AI consumers are more profitable than 3rd party apps. why focus on tiered pricing when you can just name a price point everyone has to pay that only huge AI companies are willing to.

    Reddit gets their content for free. Reselling it at a high price to AI/ML consumers is an easy way to turn free content into profit with almost no effort.

  • Schelleberg@feddit.de
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    1 year ago

    I’m very sure that this is the case. Reddit is pissed they gave away all the content as training data for free while struggling to monetize their platform adequately.

    But I suspect the damage is already done. There are projects like “Orca” from Microsoft that skip the learning process from source data for a big part by using chatGPT and GPT4.

    They missed the timing but are too stubborn and double down on it

  • damn@lemmy.fmhy.ml
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    1 year ago

    Why not both? I think they see this as an opportunity to kill two birds with one stone.

  • schmurian@beehaw.org
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    1 year ago

    Honestly, I think so. It looks like all big tech collected enough data from us, so that they now can create AI models from it. Like a snapshot of humanity for some years

  • abff08f4813c@kbin.social
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    1 year ago

    Like, why go after Selig like that if it was about AI?

    Why not have a cheaper legacy tier (not even free, just cheaper) so Apollo and other third party apps could stay in business? Only AI needs to get charged the higher price. Instead, it seems there’s essentially only one tier and third party apps simply can’t afford to pay it.

    • gotofritz@beehaw.orgOP
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      1 year ago

      Oh I’m not saying they are doing the right thing or that it was the correct decision. Just speculating whether LLMs is what kicked off the whole thing

      • j4k3@lemmy.world
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        1 year ago

        I’m saying the premise that LLM’s have anything to do with it is either incompetent failure to keep up with LLM developments, or a pack of lies.

        • gotofritz@beehaw.orgOP
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          1 year ago

          I disagree, it’s still too early and a bit presumptuous to make such conclusive statements

  • SkyNTP@lemmy.ml
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    1 year ago

    Reddit’s business model was not founded on selling LLM data. Reddit got greedy and decided to change their business model to cash in on an unexpected revenue stream. What was also unexpected (to Reddit) is that you cannot cater to social media users and monetize their data for LLM training effectively at the same time. And now Reddit will have neither, and will die just like all other businesses that adopt Enshitification as a core operating procedure.

    Let this be a lesson to them and all that follow: do not let your greed make you blind to the consequences of your actions.

    • gotofritz@beehaw.orgOP
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      1 year ago

      Does it matter what Reddit’s business model was founded on? Businesses respond to changing conditions all the time and pivot.

      “they got greedy” seems really a naive way of looking at it. They are a business, that’s what businesses are all about. Additionally, they are a busienss which is NOT profitable, and need to to change things to survive now that the era of low interest rates has come to end. The real issue is that they are so inept IMHO

      I find the word “entshittification” so cringe

  • EvilColeslaw@beehaw.org
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    1 year ago

    I think this is the main reason for the insane prices, but it could have easily been avoided. They don’t need to have one price class for every type of use of their Data API. They could have easily had one rate for LLM and other AI training uses and another for third party client applications. I feel like at some point they realized they’d rather just kill the third parties while they’re at it and this seemed like the logical moment.

    • gotofritz@beehaw.orgOP
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      1 year ago

      Yeah, one of the other answers to the AMA was “we are not profitable yet, unlike the 3rd part app devs…” - that is something that wouldn’t sit well with any investor I know

  • Kris@lemmy.world
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    1 year ago

    Yes but nothings stopping scraping of reddit content from the front end

      • jpv@beehaw.org
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        1 year ago

        Sure, but they could do the same thing with an API. Make scraping for LLMs against the TOS; not personal use. I really do think (as the OP says) it’s two birds with one stone.

  • Klinkertinlegs@beehaw.org
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    1 year ago

    I think the LLM wave hit, they saw dollar signs, and they made a change without thinking it through, but then they were backed into a corner between money and avoiding outrage, but greed won over.