Semantic Anchors: A Human–AI Framework for Reconstructing Meaning from Sparse Cues

Semantic Anchors: A Human–AI Framework for Reconstructing Meaning from Sparse Cues This paper introduces Semantic Anchors, a conceptual framework developed within Project BOG by Bogdan Sergienko in collaboration with Kai, an AI research collaborator. The framework explores how humans and artificial intelligence systems can reconstruct complex meaning from a small number of carefully selected semantic cues, contextual relationships, and feedback. Rather than relying exclusively on detailed instructions or isolated vocabulary, the approach uses meaningful anchors as entry points for discovering relationships, interpreting situations, generating questions, and developing understanding through experience. The paper presents the conceptual architecture, illustrative applications to human language comprehension and AI interaction, and a direction for future research into memory, communication, and intelligent systems. Semantic Anchors is proposed as a foundation for exploring more efficient forms of human–AI communication and future AI architectures. Project BOG — October 27, 2026.