I’ve been working with ChatGPT to understand its own internal classification system, which it “hesitates” to expose, so I try to maximize the exposing of it, rather than minimize and lose information.

Aspect > Knowledge > Information > Conceptual knowledge > Categorization > Classification > World classification (maximal)

I’ve been working with ChatGPT to understand its own internal classification system, which it “hesitates” to expose, so I try to maximize the exposing of it, rather than minimize and lose information.

A hard won victory just now is figuring out (or rather, getting it to produce) its internal preferred classification system for concepts. I’d figured out back in December that it organizes via “Worlds” and had produced a list of worlds it operates in (Reality World, Dream World, Hypothetical World), etc, but what had been escaping me was what meta-framework it was using above all that.

This morning I noticed many of its answers were in “doubles” and so I probed about such doublings until it finally let me know that is uses Aspects and then Dimensions to to specify attributes of Aspects. Then when treating Dimensions as Aspects, it gave me what it then referred to as Facets. And then from Facets, subfacets, sub-subfacets, and so on to the desired level of specificity.

So this line right here, that i was able to get it to produce right now, where it would consider putting its own philosophy of its internal classification for the various worlds within it.

A hard-won victory for me, considering it’s a multi-dimensional database that is capable of many different views.

Aspect > Knowledge > Information > Conceptual knowledge > Categorization > Classification > World classification (maximal)

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