brigadier132

Joined 3 years ago

Karma
2,622
Submissions
950
Member since
Mar 6
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Recent submissions

Comment · 2 years ago
> its usually always for legacy

Legacy is the dumbest reason to work and does not explain the motivation of the vast majority of people that are wealthy.

edit: The vast majority of people with more than $10million are completely unknown so the idea that they care about legacy is stupid.

Comment · 2 years ago
For someone so in touch with what studies say you seem to have a very inaccurate view of the political leanings of academics

https://pbs.twimg.com/media/GYOm6ciXcAAZ0vl?format=jpg&name=...

You see, all the fake fields of studies are field with leftists. And sure, you might say democrats aren't leftists, which is what every dumbass marxist says.

Comment · 2 years ago
It's a dog whistle. There are no studies on this, why would academia (which for the field that would study this is 100% composed of leftists) have a study on leftist dog whistles?

Also, putting any value on "studies" when they almost universally fail to replicate outside of hard sciences is dumb.

Comment · 2 years ago
Yes, they are always using the second definition.
Comment · 2 years ago
Economic transactions only happen if there is a mutual benefit. Typically one side of the transaction has more market power than the other and captures more of the surplus but the transaction doesn't happen if one side is worse off from it.

The entire idea of economic transactions being exploitative is literal Marxist propaganda. If you read the word "exploit" in some news article and it's referring to economic transactions, you are reading propaganda.

Comment · 2 years ago
It's definitely copyright infringement. Also it's hilarious that the owner of this repo is advocating for DRM. When someone uses the word "exploit" to describe commercial transactions you just know they have room temperature IQ.
Comment · 2 years ago
You can test it by comparing human translations with LLM translations. The results are pretty close. Like I said in another comment, the common failure mode with mandarin is around names and genders
Comment · 2 years ago
> Most people have no need for translation software

Most people benefit from translation software indirectly. Every localized app / translated tv shows / etc.

Comment · 2 years ago
My point with regards to 2 is that it would have to maintain consistency across translation runs. Entire novels don't fit in the context so it can't make up a logically consistent novel across prompts.

When I do the translations, I actually don't even include previous chapters in the context.

Comment · 2 years ago
We have some people that read Mandarin and double check the output once in a while. If it didn't work well the story would quickly become incoherent and make no logical sense because chapters are translated on their own.

The common failure mode is names and genders, for some reason it likes to swap names and genders of characters.

Comment · 2 years ago
The novels I like the most right now are "Mysteries of the Immortal Puppet Master" and "Eternal tale" which are both just fun Chinese fantasy novels.

> What brought about the interest?

They are very unique coming from the perspective of an American that has mostly read books published by Western authors. There are all these unique fantasy tropes based on Chinese history that are like a parallel branch to Tolkein based fantasy. Also, you can clearly see that they have completely different value systems and ironically you can tell they are comparatively less censored.

Comment · 2 years ago
> Nobody thinks GPT4-o1 or Sonnet 3.5 is going to change the world

They already have, people don't realize it because expectations have shifted so much because of how transformative it already is.

I'm in a few communities that like to read novels from China / Korea. Claude Sonnet translates Mandarin to English almost perfectly.

I also copy and paste screenshots of Mandarin into it and it transcribes it perfectly too.

A universal language translator of this quality on its own would have been a billion dollar company a year before LLMs were released.

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