[–] 1 point 1 week ago (1 child)

I have no knowledge about implementation... ^_^; so... Maybe ? I was more so refering to the nature of data being transmitted over the internet. Because it has to be somewhat error proof, if you are only missing a fraction of the data, i expected that there would be a way to complete the missing message ?

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  • [–] 1 point 2 weeks ago

    I dunno, i havn't looked at your comment history, but with some people, say a grandfather/mother saying unacceptable things, you can't reeducate them, so you just let the conversation die by not responding or by clearing one's throat ...

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  • submitted 4 months ago* (last edited 4 months ago) by to c/asklemmy@lemmy.ml
     

    Toki pona. End of discussion.

    Well, maybe, but i've been thinking about turning tokens into words and all that fun stuff (disclaimer, i am against any kind of llm and the similar misuses of that technology) and most importantly, about how directions in this high dimensional space seem to encode true semantical dimensions.

    Like how king + woman - man = king + "vector direction associated with feminity = queen (higly simplified)

    This brought me to the realization that all languages have a measurable (maybe not exact but at least rough estimate) number of semantic dimensions (usually way lower than the number of words in said language).

    Which then made me wonder :

    -> How few semantic dimensions do you need for a functionnal conlang ? (i imagine it would be two (binary) but i would be happy to hear your counterpoints)

    -> how many words per semantic dimensions do you need to get by and is there a reason why human language have so much "redundancy" (why not have "word for magnitude + word for semantic direction" ad nauseam ?)

    And last but not least, can you make a language with only 3 semantic dimensions and speak in rgb colours ?

    TlDR : how many semantic direction do you need to make a language ?

    Per comment request, here are some links if you found this interesting and want to learn more :

    About turning words into vectors :

    -> This lesson by 3b1b and all of the related one give a firm grasp on the inner workings of neural networks and llms, which can help debunk bs online andloosely introduces the technology of turning words into vectors (there is a videoversion if you can't bother reading )

    ->This article which only deals with word embedding (see section 3 for what i'm specifically talking about

    About conlangs :

    -> The official toki pona website

    -> The language creation society

    -> The wiki page about conlangs, for good measure

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