This is an account based on the articles linked throughout and at the end of the article. I thank Kevin Huang for sharing these with me The 1920s were a pivotal period for scholars interested…
This is language so it could be a valid use for LLMs. An LLM trained on an unknown language won’t be usable like you’re thinking. It won’t be able to explain or translate anything. It will only be able to recognize the plausibility of sentences in that language and produce new sentences that nobody will be able to understand.
For those worried about AI replacing human beings: far from it! Diviner is a very fast, never-tired assistant, as the articles describe it. Reading and making sense of these ancient writings can only be done by humans, especially when the textual content is unattested
It’s being used to identify duplicates and portions where there may be overlap to try and create full texts. Humans are doing the work, the AI here is helping them sort through the data.
Don’t make me point to the sign:
“AI is poorly suited to situations where data is spare, because it will simply start making up random shit.”
Any statistical analysis method -> AI
This is language so it could be a valid use for LLMs. An LLM trained on an unknown language won’t be usable like you’re thinking. It won’t be able to explain or translate anything. It will only be able to recognize the plausibility of sentences in that language and produce new sentences that nobody will be able to understand.
Not all AI is LLMs
It’s being used to identify duplicates and portions where there may be overlap to try and create full texts. Humans are doing the work, the AI here is helping them sort through the data.