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

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  • 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.


  • I’m not going to defend Apple’s profit maximization strategy here, but I disagree. Most people won’t end up buying a cable and adaptare because they already have one, and in contrast to those pieces made of plastic and metal, the packaging is mostly made of paper. I’m pretty confident that the reduction in plastic and metal makes up for the extra packaging that’s produced for the minority that does buy a cable and/or adapter.






  • I don’t understand the relevance of what you’re saying. Do you mean that the platform should have the right to allow biological females only (following the definitions of your law system)? Do you think that that’s implied when a platform is female only and defensible in court? Not a snarky remark, just genuinely curious what you mean. This case was all about gender identity discrimination and I don’t see how biological sex fits into the picture.

    She had sued the platform and its founder Sally Grover in 2022 for unlawful gender identity discrimination in its services, and claimed Ms Grover revoked her account after seeing her photo and “considered her to be male”.

    Judge Robert Bromwich said in his ruling that while Ms Tickle was not directly discriminated against, her claim of indirect discrimination was successful as using the Giggle App required her “to have the appearance of a cisgender woman”.

    Judge Bromwich said the evidence did not establish Ms Tickle was excluded from Giggle directly “by reason of her gender identity although it remains possible that this was the real but unproven reason”.





  • In my opinion it’s more useful to look at grams of protein per kcal. You can only eat so many calories in a day, so that dictates your protein intake for a large part. If you eat 2000 kcal worth of peanuts, you’d ingest 80 grams of protein. With chickpeas that would be 110 grams and with chicken breast 425 grams. You don’t eat just protein rich things, so the higher the value, the higher your chances of ingesting enough protein when combined with (other) vegetables, grains, rice, oil, etc.

    I know that some people will read this comment as if I’m promoting meat consumption, so let me add that I firmly believe that the world would be a better place if we ate a lot less meat. I’m just using these examples for demonstration purposes, as they’re all at the right side of the graph. It’s always an option to supplement with a plant based protein powder.




  • WSL 1 is a compatibility layer that lets Linux programs run on the Windows kernel by translating Linux system calls to Windows system calls, so in that sense I understand the name: it’s a Windows subsystem for Linux [compatibility]. It doesn’t use the Linux kernel at all. With WSL 2 they’re using a real Linux kernel in a virtual machine, so there the name doesn’t make much sense anymore.