What if we never found the Rosetta Stone and could not read ancient Egyptian hieroglyphics. Could computers or AI decipher them today?
What if we never found the Rosetta Stone and could not read ancient Egyptian hieroglyphics. Could computers or AI decipher them today?
Don’t confuse modern LLM models (like ChatGPT) with AI. As the saying goes:
LLMs are a form of AI, but there is a lot more going on in the world of AI than just LLMs.
That’s a good point, and you’re right that I’m conflating them.
What other elements of AI would you imagine would be useful here?
You’d have to ask people who work in the AI field, and, alas, I’m not one of those people.
There has been a lot of language work on attempting to reconstruct the original Indo-European Language, using combinations of pattern recognition and statistical analysis of child languages. Those sorts of tools could aid in deciphering a dead written language.
https://en.wikipedia.org/wiki/Proto-Indo-European_language
However, another written language called Linear-A (of the ancient Minoans) has yet to be deciphered, despite lots of attempts at trying.
https://www.thoughtco.com/linear-writing-system-of-the-minoans-171553
So:
¯\(ツ)/¯
to expand your point, the sole job of an LLM is to, when given a sequence of words (e.g. half a sentence), predict what the next several words should be. the model has no concept of what English words mean, so instead it makes this prediction based on statistics that were derived from basically reading through hundreds of thousands of English sentences
TL;DR LLMs don’t understand languages, they’ve just memorized statistics about them