AI agents, despite their remarkable advancements, encounter substantial limitations. Primarily, they lack true common sense reasoning and genuine understanding, often struggling significantly when encountering situations outside their specific training domain. Their capabilities are constrained by limited generalizability, making them brittle and unreliable in novel or slightly altered environments. Furthermore, AI agents are prone to inheriting and amplifying biases present in their training data, leading to potentially unfair or discriminatory outcomes. Explainability remains a major hurdle, as many complex models operate as "black boxes," obscuring their decision-making processes. They also grapple with tasks requiring creativity, emotional intelligence, or complex abstract thought, and often demand immense computational resources for effective operation and deployment. More details: https://clubcatering.net/wp-content/themes/eatery/nav.php?-Menu-=https://infoguide.com.ua/