28-11-2024, 04:04 AM
Piggybacking on what others have just said: keep in mind we've seen huge leaps in AI research in these past years, and that some problems current LLMs may not be able to solve correctly, may very well be solvable a couple of models down the line. For all we know, ChatGPT-5 might be able to crack simple substitution ciphers in English. The thing is, those abilities may not translate to better odds at solving the VMS.
I would argue that all current and future LLMs' 'reasoning' capabilities will continue to be bound by their underlying Language Model nature - they might be able to tackle tasks involving natural languages or some formal ones (algebraic expressions, predicate calculus, etc.) but will probably suck at translating or manipulating low resource languages like Voynichese.
You can choose to delve into the theory behind LLMs and even go as far as making statements like 'If ChatGPT, Llama, Gemini and Claude all suck at [task X], theres no way in hell they'll ever crack the VMS' in your video. You can count on AI enthusiast to come back and ask the same question as soon as a new model capable of solving [task X] shows up though.
I think it'd be best to give people a base test, something reproducible from the comfort of their PCs, so that they can check for themselves whether the latest chatbot can or cannot crack Voynichese.
I think a good base test for future chatbots would be to give them a message coded using any of the advanced Steganographia technique or a pseudo-Voynichese cipher (I think we got a couple of those here in this forum). If an AI ever manages to extracts the plaintext from one of those without any hints at all, then I'd say it's worth looking into.
I would argue that all current and future LLMs' 'reasoning' capabilities will continue to be bound by their underlying Language Model nature - they might be able to tackle tasks involving natural languages or some formal ones (algebraic expressions, predicate calculus, etc.) but will probably suck at translating or manipulating low resource languages like Voynichese.
You can choose to delve into the theory behind LLMs and even go as far as making statements like 'If ChatGPT, Llama, Gemini and Claude all suck at [task X], theres no way in hell they'll ever crack the VMS' in your video. You can count on AI enthusiast to come back and ask the same question as soon as a new model capable of solving [task X] shows up though.
I think it'd be best to give people a base test, something reproducible from the comfort of their PCs, so that they can check for themselves whether the latest chatbot can or cannot crack Voynichese.
I think a good base test for future chatbots would be to give them a message coded using any of the advanced Steganographia technique or a pseudo-Voynichese cipher (I think we got a couple of those here in this forum). If an AI ever manages to extracts the plaintext from one of those without any hints at all, then I'd say it's worth looking into.



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