But 2K and 4K do refer to the horizontal resolution. There’s more than one resolution that’s referred to as 2K, for example 2048 x 1080 DCI 2K, but also 1920 x 1080 full HD, since it’s also almost 2000 pixels wide. The total number of pixels is in the millions, not thousands.
For 4K some common resolutions are 4096 x 2160 DCI 4K and 3840 x 2160 UHD, which both have a horizontal resolution of about 4000 pixels.
That’s not as effective, since it can’t block anything that’s hosted from a hostname that also serves regular content without also blocking the regular content. It also can’t trick websites into thinking that nothing is blocked and it can’t apply cosmetic rules. I use it for my devices, but in browsers I supplement it with uBlock Origin (or whatever is available in that browser).
That’s because Bitwarden used various methods to enable auto-fill in places where the native auto-fill capability of Android doesn’t work. See https://bitwarden.com/help/auto-fill-android/ for an explanation.
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 would look into how Matrix handles this, for example. It involves unique device keys, device verification from a trusted device, and cross-signing. It’s not just some private key that’s spread around to random new devices where you lose track of.
They’ve implemented it in such a way that you only have access to an encrypted chat on a single device, so no syncing between devices. Syncing E2EE chats across devices is more difficult to pull off, but it’s definitely possible and other services do that by default.
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”.
“Uncensored”: https://x.com/KarlMaxxer/status/1823753493783699901. I don’t know if this is really true, but if it is, it’s something that they should’ve called out in their article.
Right, I see what you mean now. I misread your comment as explaining something that was already clear.
A false positive is when it incorrectly determines that a human written text is written by AI. While a detection rate of 99.9% sounds impressive, it’s not very reliable if it comes with a false positive rate of 20%.
I might be wrong, but I think they will probably let the OS handle the biometrics offline, which means that they won’t have access to your biometrics, they just work with cryptographic keys. Otherwise it doesn’t make sense, as apps usually don’t have direct access to the fingerprint reader. It will probably be similar to how a passkey works.
“Our analysis shows that the two voices are similar but likely not identical,” Berisha said.
They also point out the main differences between the two voices in the paragraphs below this quote. I do believe that they hired a voice actress and that they didn’t train on SJ’s voice, or at least not entirely. However, I wouldn’t be surprised if there was big push for finding a voice similar to SJ’s voice in Her, no matter how much they deny this.
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.
It is, though. Safari has native support for 3rd party adblockers, it’s just that many people don’t know. AdGuard is one of the good options. Safari is doing the actual blocking for the most part (the extension just hands over the filterlists), but nowadays some of the adblockers include an optional extension that applies some rules for complex ads that are not supported by the Apple API, such as on YouTube. As an end user you just have to install and enable the adblocker.
Then there are also other browsers available with built-in adblockers. Admittedly those are all limited in some ways because they’re forced to use the same browser engine (outside of the EU), but they are very effective at blocking ads.
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.
It’s off by default, but activated when you end your search query with a question mark. That option can be turned off.