• cmnybo@discuss.tchncs.de
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    3 months ago

    I haven’t used Opera since they switched from their own engine to chrome. They are now owned by a Chinese company, so it probably has at least as much tracking built into it as Google Chrome now.

          • coolmojo@lemmy.world
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            3 months ago

            Have a look at Otter browser It aims to replicate the old interface. It is using QtWebEngine as Presto was closed source. It is in development since 10 years now. And it is open source.

              • coolmojo@lemmy.world
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                3 months ago

                Qt WebEngine uses code from the Chromium project. However, it is not containing all of Chrome/Chromium: Binary files are stripped out Auxiliary services that talk to Google platforms are stripped out, Source

                • baduhai@sopuli.xyz
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                  3 months ago

                  While that’s one of the reasons I don’t want to use chromium, it’s not actually the main reason, if so I’d just use Ungoogled Chromium. I just want more web engines, and I dont want google to monopolise the internet.

    • rottingleaf@lemmy.zip
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      3 months ago

      I used Fifth a bit, which is something aesthetically similar to old Opera made with fltk and a webkit port to fltk. But it’s abandoned now.

      It’s so sad really, when I was a Windows user, it was Opera, when I moved to Linux, it was again Opera, then I also started using Conkeror (based on XULRunner).

      Then Opera died. Then XULRunner died. No usable web browser anymore.

  • Bandicoot_Academic@lemmy.one
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    3 months ago

    Intresting. But I’m curious about the performance.

    A bigger LLM (mixtral) already struggles to run on my mid-range gaming PC. Trying to run an LLM that isn’t terrible on a standard laptop wouldn’t be a good experience.

    • tal@lemmy.today
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      3 months ago

      I have no idea how this is set up to work technically, but most of the heavy lifting is gonna be on the GPU. I’m not sure that it matters much whether the browser is what’s pushing data to the GPU or some other package.

      • Bandicoot_Academic@lemmy.one
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        3 months ago

        Most people probably don’t have a dedicated GPU and an iGPU is probably not powerfull enough to run an LLM at decent speed. Also a decent model requires like 20GB of RAM which most people don’t have.

        • douglasg14b@lemmy.world
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          3 months ago

          It doesn’t just require 20GB of RAM, it requires that in VRAM. Which is a much higher barrier to entry.

            • T156@lemmy.world
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              3 months ago

              Not exactly. Most integrated chips have a small pool of dedicated VRAM, and then a bit more that they share with the system memory, though it’s generally only a portion, not all of it. It’s only Apple’s unified memory, and maybe other mobile chips that has them both share memory pool entirely, for better or worse, as far as I’m aware.

              But it is worth noting that if you don’t have enough VRAM and have to put it into RAM, the minimum expectation is that you have twice the amount of RAM space. So if you have a GPU with 4GB of VRAM, and need to offload the extra to the system, you don’t need 16 GB, you need 32 GB.

      • T156@lemmy.world
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        3 months ago

        Unlikely, at least on non-nvidia chips, and even on AMD, it’s only the latest four chips that support it. Anything older isn’t going to cut it.

        You also need a fairly big amount of VRAM for models like that. (4 GB is the minimum for the common kinds, which is more than typical integrated systems, or 8 GB of system memory). You can get by with system RAM, but the performance will be quite bad, since you’re either relying on the CPU, or you’ll be adding the latency from data moving between them.