Why I believe LLM be enhanced by tools called Reasoning Models

We imagined a talented painter who drew inspiration from a vast array of styles, techniques, and emotional experiences. This painter’s work was highly expressive, capable of evoking a wide range of emotions in viewers. However, the painter relied on intuition and the chaotic interplay of colors and forms, akin to how LLMs utilized strange attractors within their neural networks to represent emotions. These strange attractors guided the painter through the complex landscape of artistic expression, allowing for creative and fluid outputs. Yet, just as the painter might have produced a beautiful piece that lacked coherence or precise structure, LLMs could generate text that appeared emotionally resonant but sometimes lacked logical consistency or factual accuracy.