Seems like he’s been pushed into using LLMs as a way to cope with the deluge of LLM-generated security reports.

  • locuester@lemmy.zip
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    2 months ago

    I run Qwen 3.6 27B at home. For “free”. It is extremely useful.

    My point being that I’m not going to be priced out of using it

    • GreenKnight23@lemmy.world
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      2 months ago

      qwen is garbage. it can’t even count the elements within an array of numbers.

      to be clear though, it’s not just qwen. all code models are fucking trash.

      • bss03@infosec.pub
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        2 months ago

        Yep, while I don’t use them myself, I saw the output of the latest models at the beginning of May. While there are some “good” things in it, the vast majority of the output was unnecessary maintenance load or just wrong. And, while the person showing off the output claimed they couldn’t have written the code, I didn’t see anything particularly special.

        On top of that, I don’t believe the output of Qwen (or any other coding model) can be distributed without violating a large number of copyrights, so it’s entirely inappropriate for FOSS projects.

        • GreenKnight23@lemmy.world
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          2 months ago

          I don’t believe the output of Qwen (or any other coding model) can be distributed without violating a large number of copyrights

          I have a perfect example for that. I asked Qwen to write a simple python socket app. one for server and one for client.

          While I was reading through forum posts about python socket communication, I found a post from 8 years ago. same script. same variable names. same comments. word for word. line for line. the same exact script.

          so much for AI “not stealing content”.

    • Mikina@programming.dev
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      2 months ago

      What hardware that needs? My issue with running local models was that it’s too much of a resource hog to be able to do gamedev on the same machine, and any sensible model needs pretty expensive hardware to just get a server for it. Especially with current prices.

      • locuester@lemmy.zip
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        2 months ago

        64GB unified memory. I run it (and a lot more) on a dgx spark, but a Mac mini would suffice also.

        You could prob run 4-bit version on a RTX card with 32g. Maybe even 24g. Like a 5090 or 4090 or such.

        So much info out there.

        • wewbull@feddit.uk
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          2 months ago

          Mac Minis top out at 48GB and are 1.8k when configured like that. It’s going to be at least $2k to buy anything that has a hope of running it at a reasonable speed.

          Running local isn’t free, but at least it’s just a single upfront payment.

          • Darkaga@lemmy.world
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            2 months ago

            The M4 Pro Mac Mini caps out at 64GB RAM. Whether or not Apple can sell you that SKU right now is a different question with the ongoing DRAM shortage.

      • AlteredEgo@lemmy.ml
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        2 months ago

        Geforce 3090 with 24TB should be able to run a “Q5 version” of it. Maybe get a second older computer, or maybe you can run two cards in one PC.

        • MadhuGururajan@programming.dev
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          2 months ago

          you get free electricity or your PC parts are made of magic? running inference workloads frequently is going to have a significant impact. This is on top of using your PC for other things like gaming and work.