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.
Using English is the only way that all my colleagues are able to read it, but if it’s just meant for you, or only for Spanish speaking people, I’d say why not.
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.
Telegram’s “privacy” is fully based on people trusting them not to share their data - to which Telegram has full access - with anyone. Well, apart from the optional E2EE “secret chat” option with non-standard encryption methods that can only be used for one on one conversations. If it were an actual privacy app, like Signal, they could’ve cooperated with authorities without giving away chat contents and nobody would’ve been arrested. I’m a Telegram user myself and I from a usability standpoint I really like it, but let’s be realistic here: for data safety I would pick another option.
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.
“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.
In many countries the age of consent depends on the context. By the looks of it, the Czech Republic is one of those countries:
The age of sexual consent in the Czech Republic is 15.
Additionally, the section of the Czech penal code 40/2009 Sb. covering “crimes against family and children” contains § 202 which criminalizes a “seduction to sexual intercourse” of any persons under 18 years by any promise or provision of payment, benefit, privilege or profit, for sexual intercourse, masturbation, exposure or similar behavior.
The red lines on the finish line are real and the ads are projected from a small vertical projector at the other side of the track and are not visible in real life.
Imagine a camera with only one column of pixels, so a resolution of 1x3000, for example. You point it in a fixed direction and you keep firing extremely fast. Eventually you’ve photographed everything that has passed the camera. Paste the pixels together from right to left, and you’ve got something resembling a normal photograph, but with some distortions due to the time difference between the photos. For example, if someone put their foot on the ground in front of the camera, it will be stationary between photos and appear smeared out in the final result. Since every column of pictures is made at the exact same location, you can determine that the person on the right has finished first and the person on the left last. They apparently measure this at the level of the torso (the red lines).
Exactly, so on this photo you can see exactly who finished at what position, because it’s all taken at the finish line.
Right, I see what you mean now. I misread your comment as explaining something that was already clear.
It’s by design. They photograph only one slice repeatedly at the finish and then paste them all together. That means that everything you see here was at the same location, not at the same moment in time.
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%.
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.
It’s off by default, but activated when you end your search query with a question mark. That option can be turned off.