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Joined 2 years ago
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Cake day: July 2nd, 2023

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  • That makes sense, it’s usually not the hairs that people are allergic to. It’s a protein in their saliva, urine and skin flakes. Hairs could be covered with saliva and/or skin flakes, so in that sense I guess people might still react to the hairs, but a naked cat can trigger an allergic reaction too.


  • Ive been using the OISD list for myself and family members for the past couple of years without issues. It’s specifically made to to be unnoticeable, by whitelisting hosts that would cause issues.

    One thing to note is that it’s not a full replacement for adblockers, as DNS blockers can only block full hosts and not all ads and tracking are served from dedicated hostnames. Things like YouTube ads will be unaffected by DNS based blocking. It does really make a difference, though, including for apps with banners.










  • Some features/plugins can be quite taxing on the system and in extreme cases it can slow the editor down to the point of being unusable. I’m a happy Neovim user with a LazyVim setup, but I experience this extreme slowdown for some JSON files and I haven’t looked into it yet to see what causes it.

    You can let your editor do the same compute intensive or memory hogging things that a GUI editor does. The fact that it runs in your terminal doesn’t make it lightweight by definition.








  • 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.