Embrace the Uncertainty of AI Insights

Large Language Models (LLMs) operate as reflection tools, producing results based on probabilistic methods rather than generating original scientific insights. Their functioning relies on weighing inputs to reflect consensus rather than connect pieces directly. While they may not consistently provide the same answers, randomness and occasional errors could lead to unexpected insights. Understanding this probabilistic nature is crucial for interacting effectively with AI and recognizing its limitations in scientific discourse.