- cross-posted to:
- news@lemmy.world
- history@lemmy.world
- cross-posted to:
- news@lemmy.world
- history@lemmy.world
A student, as part of a contest, used a machine-learning algorithm and CT scans to analyse on closed scrolls, buried by Mount Vesuvius in October AD 79. The breakthrough could unlock the contents of hundreds of never-before-seen writings.
I want an AI based translation of allthe Dead Sea Scrolls as long as we can remove the bias from the training data. Bonus points of it can additionally qualify reasoning for translations. So we can error check.
Emphasis mine. So then you don’t want an AI based translation of all the Dead Sea Scrolls?
i dont want the translation to be informed by the human understanding of the significance of the content, nor the subjective expectations of what a holy scripture would intent to say, based on a personal understanding of faith.
i dont think this should be controversial.
Reality is biased.
All the Dead Sea Scrolls that we know of. I am about 90% sure we have them all, 10% that the Vatican has a text fragments or two that they are sitting on.
It shouldn’t take 40-45 years to take a few photographs and any translation difficulties would be better solved by the community vs individual professors.
I don’t see the point, I’ve never seen an AI that can translate better than a human
That doesn’t mean one doesn’t exist. Think of how far video transcription has come in the last decade. AI will absolutely surpass human ability to quickly and very accurately translate text.
AI is waaaay better for English to Chinese translation, I can tell you that from experience in my personal life.
There’s a lot of nuance to translation, especially for languages with completely different structures.
Not seeing the point of everything you’ve never seen is a good way to get poked in the eyes my friend.
Regardless of capability a human will have a bias. So maybe have multiple humans of varying beliefs and then have the AI train to remove the bias?
AI might also have a bias depending on its training data.