this post was submitted on 18 Aug 2023
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Probably not. We can algorithmically show if something is likely to be writing, but actually understanding it is a very complicated process that involves a lot of social sciences inferences. An LLM using chain or tree of thought would probably be your best shot.
I think if you're trying to model completely agnostically on every language possible translating entire words and existing known pictograms to what they mean. Then there might be a slight chance that kind of deciphering part of it. Just because humans usually come back to similar symbols and maybe it can pick up on something that we can't. But it would be a long shot to be sure