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Joined 1 year ago
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Cake day: July 2nd, 2023

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  • I disagree, but I do agree that there are better options available than JPEG. Lossy compression is actually what allows much of the modern internet to function. 4K HDR content on Netflix wouldn’t be a thing without it. And lossy compression can be perceptually lossless for a broader range of use cases. Many film productions use high quality lossy formats in their production pipelines in order to be able to handle the vast amounts of data.

    Of course it all depends on the use case. If someone shares some photos or videos with me to keep, I’d like them to send the originals, whatever format they might be in.






  • I agree. I think people might have the idea that the states dictates the contents, but that’s not at all how it works in well functioning democracies. It’s there to serve the public interest: to have a relatively unbiased news outlet that’s accessible to all and without (or with little) commercial interests. It coexists with commercial news outlets.


  • Sure, but I’m just playing around with small quantized models on my laptop with integrated graphics and the RAM was insanely cheap. It just interests me what LLMs are capable of that can be run on such hardware. For example, llama 3.2 3B only needs about 3.5 GB of RAM, runs at about 10 tokens per second and while it’s in no way comparable to the LLMs that I use for my day to day tasks, it doesn’t seem to be that bad. Llama 3.1 8B runs at about half that speed, which is a bit slow, but still bearable. Anything bigger than that is too slow to be useful, but still interesting to try for comparison.

    I’ve got an old desktop with a pretty decent GPU in it with 24 GB of VRAM, but it’s collecting dust. It’s noisy and power hungry (older generation dual socket Intel Xeon) and still incapable of running large LLMs without additional GPUs. Even if it were capable, I wouldn’t want it to be turned on all the time due to the noise and heat in my home office, so I’ve not even tried running anything on it yet.


  • The only time I can remember 16 GB not being sufficient for me is when I tried to run an LLM that required a tad more than 11 GB and I had just under 11 GB of memory available due to the other applications that were running.

    I guess my usage is relatively lightweight. A browser with a maximum of about 100 open tabs, a terminal, a couple of other applications (some of them electron based) and sometimes a VM that I allocate maybe 4 GB to or something. And the occasional Age of Empires II DE, which even runs fine on my other laptop from 2016 with 16 GB of RAM in it. I still ordered 32 GB so I can play around with local LLMs a bit more.