index cec0406..007478f 100644
@@ -17,4 +17,4 @@ a research/tool direction for separating meaning from style in embedding space
the technical approach would involve learning a decomposed representation: one component that captures semantic content (what the text is about, what claims it makes) and another that captures stylistic/tonal dimensions (formality, emotional valence, voice, register). once you have this, interpolation becomes a geometric operation — you move along the style axis from "formal" to "casual" while holding the content vector fixed. this has obvious applications in writing assistance, but the interesting research question is whether such a clean decomposition actually exists in embedding space or has to be imposed.
-connects to [[ai-conversationalist|AI conversationalist]] which needs exactly this capability — mimicking someone's conversational style while generating novel content. also connects to [[writing-tools|writing tools suite]] for the practical application, and [[personalized-autocomplete|personalized autocomplete]] since your personal writing style is essentially a point in this tone space. the research framing puts it adjacent to [[llm-behavior-improvement|LLM behavior improvement]] — better understanding of how style and content interact in embeddings would make controllable generation much more reliable.
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+related: [[ai-conversationalist|AI conversationalist]], [[writing-tools|writing tools suite]], [[personalized-autocomplete|personalized autocomplete]], [[llm-behavior-improvement|LLM behavior improvement]]
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