• krypt@lemmy.world
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    2 hours ago

    Kinda like how very AI company in silicon valley was scrambling to figure out Deepseek worked when it released for free?

    • boonhet@sopuli.xyz
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      2 hours ago

      They’re releasing it open weighs mostly, not open source necessarily.

      Not all that different from the freeware model, where you get a binary that you can run, but you don’t really have the building blocks to make it yourself.

      • shortwavesurfer@lemmy.zip
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        1 hour ago

        Yeah, for me, I am very strict about that. If it is not open source, I will not use it.

        I’m aware of the difference between open weight models and open source models, and I will not use open weight models because they are not open source.

        Before I learned that I should care, I used closed source software and so now have some closed source software that I still use because of the fact that I got used to it and can’t really easily get rid of it.

        AI is the very first technology where I can draw the line immediately and say I will never use a closed source system.

        I have switched to open source software and operating systems as much as possible, but because of the fact that I used operating systems and software before I cared about open source, I still have some dead weight to drag around. And with AI, I’m hoping to avoid that issue.

        For example, every application on my phone is open source, except for one, and I find that app useful enough that I cannot get rid of it.

        • vrighter@discuss.tchncs.de
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          57 minutes ago

          source includes the training data. If i gave someone the full source code of a wasm interpreter and a wasm blob that contains all of the logic of the actual application, with no way of building that blob yourself, and call that open source, I’d be laughed out of the room.

          “open source” models usually do exactly this

  • Glytch@lemmy.world
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    2 hours ago

    “They’re using their plagiarism machine to plagiarize our plagiarism machine!”

  • WolfLink@sh.itjust.works
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    4 hours ago

    Like other Chinese companies, Alibaba tapped into Anthropic’s technologies through tens of thousands of unauthorized accounts, according to the letter, which was viewed by The New York Times. Then it used the data it collected to train its own A.I. systems. Anthropic asked the lawmakers, who lead a Senate committee that was about to hold a hearing on A.I., to explore ways of curbing China’s distillation.

    Lmfao they are complaining about what’s basically the same thing as what they did to people to create their AI in the first place

    • vane@lemmy.world
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      2 hours ago

      I still have logs from Anthropic bot not respecting robots.txt ddosing my home lab and stealing code. Where can I send them ?

    • Zos_Kia@jlai.lu
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      1 hour ago

      No what the Chinese do is much more ethical because they actually pay for the tokens. Basically anthropic is complaining that companies use and pay for their product :'(

  • cy_narrator@discuss.tchncs.de
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    5 hours ago

    Do you know something? When Chinese copy AI they open source it but your American companies would never do that

    • Korkki@lemmy.ml
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      4 hours ago

      Us strategy is to chase the latest frontier model and while they burn money to get to that economy solving model they just plant to get everybody hooked, so they can ramp up prices later and make mega profits. Chinese just see the AI as a productivity multiplier and expect the money to be made elsewhere, their models are open and their Ai companies work on a loss. US plan really expects that there is eventually A) no competition, and B) their shit can actually be so useful that soon nobody can live without them. Everything the Chinese do is just poison to US AI companies.

  • T156@lemmy.world
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    4 hours ago

    Weird argument they’re making, since distillation doesn’t give you the AI. It just gives you the style of the AI.

    If you distilled Google’s newest Gemini into a GPT-2 model, all it would do is just sound like it. Your GPT-2 model isn’t suddenly going to be as capable as the model you distilled.