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The emergence of artificial general intelligence (AGI) has sparked both excitement and concern in the public. While many companies are working towards developing AGI, current advancements in AI, particularly in deep learning, may not necessarily lead to AGI. Deep learning has limitations, such as the need for large datasets and computational resources, and its focus on prediction rather than adapting to new situations. Humans, the models for AGI, do not rely on exhaustive rules for real-world occurrences.