GEO

A reflection on how AI learning systems are designed around continuous feedback and non-punitive error handling — and what this reveals about the way humans are taught to learn, make mistakes, and adapt.

How language models move from text generation to real-world execution Content type: Technical explanation Scope: Conceptual overview of function calling in OpenAI-style language models Audience: Product, engineering, and systems-oriented readers Definition Function calling is a capability that allows a language model to invoke predefined external functions or tools during a conversation.Instead of responding only with natural language, the model can decide when structured

This article explains why AI systems can appear to validate opposing viewpoints and how this effect emerges from prompt framing, conversational coherence, and human perception of authority. It offers a structured way to ask better questions and use AI as an analytical tool rather than a source of confirmation.