Prompting People (kuber.studio)

In a recent reflection, an individual reported a surprising shift in their communication style after frequent interactions with AI, specifically through large language models (LLMs). They noticed that their conversations had begun to mirror the structured prompting techniques used for AI models, focusing on presenting ideas in a clear, logical order—definition, descriptions, and potential follow-up questions. This change has resulted in more coherent explanations but has also led to reactions from friends, ranging from complaints about lengthy monologues to appreciation for comprehensive clarity. This phenomenon highlights a significant trend in the AI/ML community: as people engage more with AI systems, their communication patterns may evolve, adopting the efficiency and structure inherent in prompt engineering. While this could lead to improved clarity in conveying complex information, it also raises questions about the balance between human interaction and AI-influenced communication styles. As we train AI to imitate human conversation, the reverse may be happening—people are adopting a more structured, analytical method of speaking, which could transform interpersonal dynamics and the nature of discussions in both personal and professional contexts.