zlacker

>>tablet+(OP)
Machine translation and speech recognition. The state of the art for these is a multi-modal language model. I'm hearing impaired veering on deaf, and I use this technology all day every day. I wanted to watch an old TV series from the 1980s. There are no subtitles available. So I fed the show into a language model (Whisper) and now I have passable subtitles that allow me to watch the show.

Am I the only one who remembers when that was the stuff of science fiction? It was not so long ago an open question if machines would ever be able to transcribe speech in a useful way. How quickly we become numb to the magic.

>>retrac+J
Translation seems like the ideal application. It seems as though an LLM would truly have no issues integrating societal concepts, obscure references, pop culture, and more, and be able to compare it across culture to find a most-perfect translation. Even if it has to spit out three versions to perfectly communicate, it’s still leaps and bounds ahead of traditional translators already.

>>kulaha+25
> it’s still leaps and bounds ahead of traditional translators already

Traditional machine translators, perhaps. Human translation is still miles ahead when you actually care about the quality of the output. But for getting a general overview of a foreign-language website, translating a menu in a restaurant, or communicating with a taxi driver? Sure, LLMs would be a great fit!

>>crote+C9
I should’ve been more clear that this is basically what I meant! The availability of the LLM is the real killer because yeah - most translation jobs are needed for like 15 minutes in a relatively low-stakes environment. Perfect for LLMs. That complex stuff will come later when verifiability is possible and fast.