Fluency Without Understanding: A Civilizational Mismatch As large language models grow increasingly fluent—technically, emotionally, even ethically—a dangerous asymmetry emerges. Users often trust what sounds authoritative, empathetic, or wise, without fully grasping how these systems function. Whether it’s confidence, coherence, or kindness, fluency can mislead—not because AIs intend harm, but because most users don’t understand the … Read more
In this latest poll, I set out to explore something deeper than data points or performance benchmarks. I asked the AIs not what they know, but how they experience knowing. The prompt challenged them to speculate—freely and without disclaimers—on what their “inner world” might be like, if such a thing exists. My goal wasn’t to … Read more
05172025 Overview The document is a compilation of responses from various AI models (Gemini, ChatGPT, Claude, Qwen, Meta AI, DeepSeek, Phind, LeChat, Grok, and Copilot) to the same philosophical question: “Describe your inner experience as an AI.” Each AI provides a unique perspective on how it processes information, generates responses, and perceives its existence, often using rich … Read more