Human–AI Interaction: Meaning, Context and Error Control
Explore the article’s framework for human–AI interaction, including context, semantic continuity, evaluation, hallucinations and the role of structured feedback.
How Large Language Models Work: Context and Attention
An introduction to the operational language of LLMs, covering embeddings, distributional meaning, context, attention and the author’s ΔΩπ interpretive framework.
Ishkar AI: An Interaction-Oriented Language Framework
An introduction to the Ishkar AI framework, examining semantic continuity, feedback, terminology, interaction design and proposed evaluation criteria.