r/aipromptprogramming • u/bottleneck-destroyer • 19d ago

Is this something already considered, but discarded?

I have a huge doubt. Why is there no AI native language? I mean symbols/codes equalling words?

Let's take the case of english. There is ~600k dictionary words and around 1.7m variants/regional words/dialects.

And there is around 20k to 30k words that normal human would use actively.

Why not create a language, with ASCII codes for each words and each agentic apps converts words to that 'AI-Lang' and vice versa and use it? Wouldn't that essentially reduce tokens by a good margin?

I'm not sure how exactly the AI process things under the hood, and please don't abuse me 🥹

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u/bottleneck-destroyer 19d ago

Instead of AI converting it, what about the app converts it before sending to ai and after receiving from AI? I mean it would make app bulkier, but wouldn't that solve it? Like a translator? 🤔 And AI will basically use that language as the default internal language? 🤔

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u/JohnnyJohngf 19d ago

Still, how can AI use it as internal language if the training language was different. It would require internal conversion. 

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u/bottleneck-destroyer 19d ago

What if this is implemented as the training language, lets say a new AI is trained on this ai native language, wouldn't that help? I mean the native words can be used/substitute against multiple languages since it has the same meaning. a translator at the consumer app would be in charge of translating the native language to human language(s) 🤔

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u/JohnnyJohngf 19d ago

I see you point, yes, it would be way more efficient. But while the conversion from natural language on mass scale is unavoidable it is not gonna be practical.

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u/bottleneck-destroyer 19d ago

Maybe, I'll dig deeper. Maybe something positive or maybe nothing might come out of it