There is a language that punishes the programmer if they are not polite enough
![](https://gekinzuku.com/pictrs/image/0cb57e22-f174-4516-bc35-1ccc64f14c2a.jpeg)
![](https://programming.dev/pictrs/image/170721ad-9010-470f-a4a4-ead95f51f13b.png)
![](https://programming.dev/pictrs/image/cb1f7ff7-0846-4158-8f55-bafbd97ca237.jpeg?format=jpg&thumbnail=256)
Large language models literally do subspace projections on text to break it into contextual chunks, and then memorize the chunks. That's how they're defined.
Source: the paper that defined the transformer architecture and formulas for large language models, which has been cited in academic sources 85,000 times alone https://arxiv.org/abs/1706.03762
Omg that's so evil I love it
username checks out
Definitely RE for me. I couldn't sleep after the first time I saw a crimson head. The sharks were terrifying too
ctrl-z
kill %1
What too much NCD does to a mf
Isn't that basically the same logic why European women would often ride sidesaddle?
This was initially conceived as a way to protect the hymen of aristocratic girls, and thus the appearance of their being virgins.[2][3]
woosh?
PLEASE PLEASE PLEASE PLEASE PLEASE DO .3 <- !3˜#15’$!3˜#240
I believe your "They use attention mechanisms to figure out which parts of the text are important" is just a restatement of my "break it into contextual chunks", no?
wttr gang
So like 5 youtube videos?
I'm being personally attacked
yeah it's my favorite way to exit Vim. I post it every time I get a chance lol https://gekinzuku.com/comment/202790
I don't have a very consistent naming theme. I've used various names related to music, science, and art. I have a decomissioned machine named "numbers" for example.
However, I would like to point out we have plenty more than 8 celestial bodies of interest in the solar system if you include Eris, Ceres, Pluto, Makemake, the moons of Jupiter, and more. It might not be indefinitely extendable, but may help in the short term.
Ah if you need it for work then teams/skype/zoom work calls will quickly burn through the 5GB. I'm not sure who the comments about bitching are directed to
Piped link for the same video: https://piped.kavin.rocks/watch?v=6XAln91Bs6k
You can look into Spotify Downloader
spotdl
, a Python package here: https://github.com/spotDL/spotify-downloaderIt doesn't download as you listen, but it'll do something smart and download all the tracks of a playlist/album/etc by grabbing high-quality audio from Youtube videos (and it magically avoids dreaded music video versions) if you feed it a Spotify URL. It also puts all the metadata in the tracks automatically.