LLMs are a tool with vanishingly narrow legitimate and justifiable use cases. If they can prove to be truly effective and defensible in an application, I’m OK with them being used in targeted ways much like any other specialised tool in a kit.
That said, I’m yet to identify any use of LLMs today which clears my technical and ethical barriers to justify their use.
My experience to date is the majority of ‘AI’ advocates are functionally slopvangelical LLM thumpers, and should be afforded respect and deference equivalent to anyone who adheres to a faith I don’t share.
Translation isn’t as easy as easy as just take the word and replace with another word from different language with same definition. I mean yes a technical document or something similar can be translated word for word. But, Jokes, songs and a lot more things differ from culture to culture. Sometimes author chooses a specific word in a certain language based on certain culture which can be interpreted in multiple ways to reveal hidden meaning for readers.
And sometimes to convey the same emotion to a reader from different language and culture we need to change the text heavily.
I remember the Babelizer from the early internet, where you would input a piece of text, and the Babelizer would run it through five or six layers of translation, like from English to Chinese to Portuguese to Russian to Japanese and back to English again, and the results were always hilariously nonsense that only vaguely resembled the original text.
One of the first things I did with a LLM was to replicate this process, and if I’m being honest, it does a much better job of processing that text through those multiple layers and coming out with something that’s still fairly reasonable at the far end. I certainly wouldn’t use it for important legal documents, geopolitical diplomacy, or translating works of poetry or literature, but it does have uses in cases where the stakes aren’t too high.
LLMs can’t perform any of those functions, and the output from tools infected with them and claim to, can intrinsically only ever be imprecise, and should never be trusted.
could you explain little bit more
LLMs are a tool with vanishingly narrow legitimate and justifiable use cases. If they can prove to be truly effective and defensible in an application, I’m OK with them being used in targeted ways much like any other specialised tool in a kit.
That said, I’m yet to identify any use of LLMs today which clears my technical and ethical barriers to justify their use.
My experience to date is the majority of ‘AI’ advocates are functionally slopvangelical LLM thumpers, and should be afforded respect and deference equivalent to anyone who adheres to a faith I don’t share.
What do you think about these;
Translation isn’t as easy as easy as just take the word and replace with another word from different language with same definition. I mean yes a technical document or something similar can be translated word for word. But, Jokes, songs and a lot more things differ from culture to culture. Sometimes author chooses a specific word in a certain language based on certain culture which can be interpreted in multiple ways to reveal hidden meaning for readers.
And sometimes to convey the same emotion to a reader from different language and culture we need to change the text heavily.
I remember the Babelizer from the early internet, where you would input a piece of text, and the Babelizer would run it through five or six layers of translation, like from English to Chinese to Portuguese to Russian to Japanese and back to English again, and the results were always hilariously nonsense that only vaguely resembled the original text.
One of the first things I did with a LLM was to replicate this process, and if I’m being honest, it does a much better job of processing that text through those multiple layers and coming out with something that’s still fairly reasonable at the far end. I certainly wouldn’t use it for important legal documents, geopolitical diplomacy, or translating works of poetry or literature, but it does have uses in cases where the stakes aren’t too high.
LLMs can’t perform any of those functions, and the output from tools infected with them and claim to, can intrinsically only ever be imprecise, and should never be trusted.
you’re right thank you you chanced my opinion https://lemmy.zip/post/59083587