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When in doubt build a model based on the Kan extension. Or at least, use Lawvere's simplified version of it ( determination/choice).
* Questions (A) -> Little Red Riding Hood (B) -> Learning [Wolf Detection] (C)
A -> C maps to False ( A -> Ω), which hints at the idea that marginal knowledge can be modeled as a topos. We can also show the nature of the transition from Google Search to GPT.
* All objects are marginal.
* Questions (A) -> Little Red Riding Hood (B) -> Learning [Wolf Detection] (C)
A -> C maps to False ( A -> Ω), which hints at the idea that marginal knowledge can be modeled as a topos. We can also show the nature of the transition from Google Search to GPT.
* All objects are marginal.