What surprises me about talented people in tech is their capacity to be brilliant in one area and entirely delusional in another, even within their domain. For instance, those who invented modern machine learning, fully aware of its mechanics and inherent weaknesses, might still claim, "Superintelligence is near; we need to prepare." I want to scream, "How can you, knowing exactly how it works, believe it will soon consume us?" Yet, they somehow do. A language model, however good, is still a machine learning model—a simple mathematical formula whose parameters are only as good as the dataset used to estimate them. Any dataset, no matter how large, has high-density regions, like news articles or fiction books, and low-density regions, like cutting-edge scientific and medical articles. Thus, the model excels in high-density areas and becomes unreliable in low-density ones. Anyone capable of training an LLM knows this; it's common machine learning knowledge. Yet, they persist in saying "superintelligence is near." So, I wonder if it's just human nature to excel in one area and be utterly mistaken in another, or if they are cold-blooded liars causing panic to profit from scared people?