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A recent Reddit post sparks debate on the limitations of generative AI, particularly Large Language Models (LLMs), in achieving true human-level intelligence. The user contends that LLMs, acting as sophisticated statistical mirrors of their training data, lack a fundamental world model necessary for genuine understanding. This deficiency, they argue, prevents AI from grasping causality and simulating real-world outcomes, capabilities inherent to human cognition. The post suggests that simply increasing the size and complexity of these models won’t overcome this hurdle, posing the thought-provoking question: Can current generative AI systems even handle tasks requiring real-world understanding, such as autonomously driving a vehicle? The discussion originated on Reddit at [https://old.reddit.com/r/artificial/comments/1m9bxl1/cmv_generative_ai_will_not_lead_to_humanlevel_ai/]