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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”.










  • For me they only work in relatively quiet environments, or with earplugs. As soon as a car drives by it completely drowns out the sound. With music that might not be an issue, but with podcasts or calls it’s very annoying. I’ve bought earplugs especially for this, as my other earbuds have issues with wind while running, but it does feel like it’s defeating the purpose a bit. I guess turning them all the way up would also work, but that doesn’t feel healthy. Other than that I like them and the mic quality is also good according to people I’ve spoken with over the phone.


  • 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.


  • I’m not sure, it depends on your configuration and blocking list. I don’t use native tracking protection, and my blocklist (oisd) prioritizes functionality over blocking, so in my case everything just works and I don’t have anything special added to my whitelist. I don’t like DNS blocking to be in the way and I also share my configuration with some family members, so that’s why I’ve made this choice, but if you prefer a stricter approach you might have to do some whitelisting.


  • If the iCloud Private Relay ODoH DNS server is used it will show up as a DNS leak, even if the IP address from its response isn’t used for browsing. For privacy it doesn’t matter, as with ODoH the DNS resolver doesn’t know your IP or identity, the most important thing is whether it will bypass the NextDNS blocklist. In my testing I couldn’t visit any website that was blocked by NextDNS, meaning that the iCloud DNS resolver wasn’t used as the primary DNS resolver, which matches with their documentation (that page 10 that I linked to earlier). Note that Apple will only use a custom DNS resolver if you’re using the native DoH option, so for example the configuration that you can get from https://apple.nextdns.io/.

    You can easily test it yourself: block a hostname in NextDNS that you haven’t visited recently (due to cache) and try to visit it in Safari.

    I don’t know why Apple still uses the Cloudflare DNS resolver even if it seems to be ignoring its responses. Maybe they use it for some custom metadata that’s sent along with the request which somehow is important for the relay. All I know is that I’ve never seen it bypassing the NextDNS blocklist, which again is exactly how it’s documented by Apple.


  • So for some reason Apple keeps using their DNS resolver even with a custom DoH resolver configured, but in my testing it didn’t affect the blocking capabilities of NextDNS at all, meaning that the answers from their resolver are just ignored (or used for some other purpose). The way NextDNS knows that you’re using another resolver is by letting the browser resolve some unique hostnames, so that way it will show up even if the answers from that resolver aren’t used. As to why Apple does this I don’t know. In theory it could be the case that Apple just used whichever answer arrives first and that NextDNS just happened to be faster in my testing, but that doesn’t match with how it’s documented in their PDF.

    Which one to pick (if you don’t just want to use them at the same time) depends on what your goal is. I use iCloud Private Relay + NextDNS + AdGuard, but nowadays I mainly use another browser with a built-in adblocker, so iCloud Private Relay and AdGuard aren’t used in that case.

    I use NextDNS everywhere I can and use a list that prioritizes not breaking anything. It’s a nice backstop. It’s not a replacement for an in-browser adblocker in my opinion, unless you don’t care that it’s less effective.