While current Large Language Models (LLMs) offer impressive capabilities, they exhibit significant limitations, particularly in decision-making and planning. Es

While current Large Language Models (LLMs) offer impressive capabilities, they exhibit significant limitations, particularly in decision-making and planning. Establishing a robust orchestration mechanism to guide LLMs' 'intelligent but error-prone intuition' remains a considerable challenge. Realizing such a system might take decades, if it is even feasible. The author contends that utilizing fear as a marketing tactic is a facile means to generate hype and solidify market dominance, often with state support. Success in human endeavors is a confluence of intelligence, timing, and fortuitous events. Extrapolating this to hypothetical future AI entities, it is unlikely that they would be exempt from similar complexities. An AI capable of negating the factor of 'luck' would likely require vast computational resources in a short period, rendering it vulnerable and fragile