This announces the AI Visibility Boundary and Non-Equivalence Theorem, which defines AI Visibility as an upstream learning discipline and clarifies that downstream systems such as SEO prompting ranking and analytics are not equivalent to learning conditions within large language models.
Boundary and Non-Equivalence Theorem.
This release concerns the AI Visibility Boundary and Non Equivalence Theorem, which defines what ...
The AI Visibility Downstream Instrumentation Theorem classifies marketplace definitions as dependent observation layers that measure learned representations without redefining the upstream discipline governing how information becomes learnable by large language models.
The AI Visibility Downstream Instrumentation Theorem, a formal framework that separates AI Visibility as an upstream post-training learning discipline ...
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