Of course, I’m not in favor of this “AI slop” that we’re having in this century (although I admit that it has some good legitimate uses but greed always speaks louder) but I wonder if it will suffer some kind of piracy, if it is already suffering or people simple are not interested in “pirated AI”

  • arararagi
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    10 hours ago

    Meta’s model was pirated in a sense, someone leaked it early last year I think, but Llama isn’t that impressive, and after using it on whatsapp seems like nothing got better.

  • daniskarma@lemmy.dbzer0.com
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    14 hours ago

    Not pirated. But my country, Spain, released an open AI model completely for free. Everything is open. The training data the models and everything. It’s supposedly ethically trained with open data(I have not personally dig in the training data but it’s there published).

    It’s focused on spanish and regional languages of spain. But I think it can also do things in English.

    Not piracy per se, as it’s completely legal. But there’s something you don’t depend on any bussiness to run.

  • Aceticon@lemmy.dbzer0.com
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    2 days ago

    I’m pretty sure those things are trained on content which was obtained without paying royalties to the creators, hence by definition pirated content - so that would count as “piracy around them”.

    On the opposite side, as far as I know the things created with Generative AI so far can’t be copyrighted, hence by definition can’t be pirated as they’ve always belonged to the Public Domain.

    As for the engines themselves, there are good fully open source options out there which can be locally installed (if you have enough memory in your graphics card) and there seem to be thriving communities around it (at least it looks like it from what bit I dipped into that stuff so far). I’m not sure if it’s at all possible to pirate the closed source engines since I expect those things are designed to be deployed to very specific server farm architectures.

    • OminousOrange@lemmy.ca
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      16 hours ago

      There are quite a few options for running your own LLM. Ollama makes it fairly easy to run (with a big selection of models - there’s also Hugging Face with even more models to suit various use cases) and OpenWebUI makes it easy to operate.

      Some self-hosting experience doesn’t hurt, but it’s pretty straightforward to configure if you follow along with Networkchuck in this video.

      • can@sh.itjust.works
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        14 hours ago

        Any that are easier to set up on a phone? I tried something before but had trouble despite having enough RAM.

        • OminousOrange@lemmy.ca
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          14 hours ago

          Not that I’m familiar with. I would guess that the limited processing power of a phone would bring a pretty poor experience though.

    • mindbleach@sh.itjust.works
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      11 hours ago

      Training is transformative use. Sluicing data through a pile of linear algebra, to mechanically distill the essence of words like “fantasy,” is not what copyright protects against.

    • Grandwolf319@sh.itjust.works
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      2 days ago

      Yeah the whole of generated AI feels like legal piracy (that they charge for) based on how they train their data

  • PerogiBoi@lemmy.ca
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    2 days ago

    There already is. You can download copies of AI that are similar or better than ChatGPT from hugging face. I run different models locally to create my own useless AI slop without paying for anything.

  • Weight leaks for semi-open models have been fairly common in the past. Meta’s LLaMa1.0 model was originally closed source, but the weights were leaked and spread pretty rapidly (effectively laundered through finetunes and merges), leading to Meta embracing quasi-open source post-hoc. Similarly, most of the anime-style Stable Diffusion 1.5 models were based on NovelAI’s custom finetune, and the weights were similarly laundered and became ubiquitous.

    Those incidents were both in 2023. Aside from some of the biggest players (OpenAI, Google, Anthropic, and I guess Apple kinda), open weight releases (usually not open source) have been become the norm (even for frontier models like DeepSeek-V3, Qwen 2.5 and Llama 3.1), so piracy in that case is moot (although it’s easy to assume that use non-compliant with licenses is also ubiquitous). Leakage of currently closed frontier models would be interesting from an academic and journalistic perspective, for being able to dig into the architecture and assess things like safety and regurgitation outside of the online service shell, but those frontier models would require so much compute that they’d be unusable by individual actors.

  • 31337@sh.itjust.works
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    2 days ago

    Some of the “open” models seem to have augmented their training data with OpenAI and Anthropic requests (I. E. they sometimes say they’re ChatGPT or Claude). I guess that may be considered piracy. There are a lot of customer service bots that just hook into OpenAI APIs and don’t have a lot of guardrails, so you can do stuff like ask a car dealership’s customer service to write you Python code. Actual piracy would require someone leaking the model.

  • Kaboom@reddthat.com
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    2 days ago

    You can just run Automatic1111 locally if you want to generate images. I don’t know what the text equivalent is though, but I’m sure there’s one out there.

    There’s no real need for pirate ai when better free alternatives exist.

    • Zikeji@programming.dev
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      2 days ago

      There are quite a few text equivalents. text-generation-webui looks and feels like Automatic1111, and supports a few backends to run the LLMs. My personal favorite is open-webui for that look and feel, and then there is Silly Tavern for RP stuff.

      For generation backends I prefer ollama due to how simple it is, but there are other options.

  • Dizzy Devil Ducky@lemm.ee
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    2 days ago

    Not sure it it counts in any way as piracy per say, but there is at least jail broken bing’s copilot AI (Sydney version) using SydneyQT from Juzeon on github.