It’s frustrating how many of these systems rely on hard coded word or even substring matching, and that in a world of large language models that can evaluate semantics.
Honestly it’s a blessing, hardcoded stuff can be easily circumvented by turning to 1337-speech or inserting whitespace. An AI scanning stuff would not only produce random false positives but also make the censorship actually work
I always enjoyed subs, but wished I could understand the original Japanese, so I took Japanese classes in HS and college to learn the language. Now I can’t help but listen to the Japanese AND try to read the subtitles at the same time. (ー_ー*)
This is like when I put on dubs and subs, because I’m lazy and hard of hearing! It’s fun because they never use the same translation for both so you get to watch the two fight it out over what’s being said!
As an older fan, because historically, dubs were utter crap. Until about 20 years ago, only kids anime got dubbed and when it was that version would be edited and censored. Some companies would also put out a parallel uncensored release and if one was available, it would be subs only.
Even when you started to get older teen anime dubbed, the voice casting tended to be pretty bad.
In my opinion most western voice actors can’t really convey the expression of anime character the Japanese VAs can bring to life.
This is caused by a lot of factors not inherently about voice acting performance, but the language differences. A lot of high pitched expressions are simply non-existed in most other languages, for example. Even if you imitated the tone completely, the language itself as a lot of people know and speak will make the aptly toned expression sound very very weird or creepy within the utterance of the target language.
So for most people dub is simply not on point, or a lot of the times even jarring to match the visual expression to the voice. Subs perfectly keep that distinction.
Most of the time people in western culture finding youngsters imitate anime stuff weird because of this distinction, not because they simply heated expressions, which the target language already has but in other tones and forms.
Because it doesn’t feel like extra work once you’ve gotten used to it, and it still feels like I’m watching a Japanese anime as intended by the original creators.
In Hitch Hikers Guide to the Galaxy, the most average person was created to go inconspicuously undercover on earth. Problem was that she was extremely beautiful and instead of being anonymous she attracted a lot of attention.
Average means average size, distance between eyes, size of lips etc etc.
this may be due to “spam” (commenting a lot). not sure. it would be helpful if they actually told you the reason. i got banned from commenting for 3 weeks lol.
I suppose in reality it’s the average of people who post pictures online and are willing to display it publicly, and probably weighted slightly by how many pictures of a person are uploaded (e.g. if someone has uploaded tens of thousands of pics of themselves - a celebrity or whatever - they will throw the average slightly towards their own face). Assuming the sample set is something like: all of social media photos of a person’s face.
People in the comment seems to not understand that it doesn’t mean average on the “scale of beauty/attractiveness”. But averaged features. Like if you merge all nose shapes of a million person you get this nose, ect.
It was tested already several years ago that people tend to like faces made by merging a lot of faces together and “averaging” them. Most of the time rating them more attractive than the individual faces used.
I don’t find the source anymore… I’ll check better later.
People in the comment seems to not understand that it doesn’t mean average on the “scale of beauty/attractiveness”. But averaged features. Like if you merge all nose shapes of a million person you get this nose, ect.
It more likely means ‘like faces that were called average in the dataset’ rather than an actual average.
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