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The rise of Artificial General Intelligence (AGI)—AI capable of human-like reasoning and autonomy—remains uncertain, with predictions ranging from decades to never. Current AI excels at specific tasks but lacks generalization. Achieving AGI requires breakthroughs in neuroscience, algorithmic innovation (e.g., neurosymbolic AI), computational power (e.g., quantum computing), and data efficiency (e.g., self-supervised learning). Ethical and safety concerns also play a critical role. The next big breakthroughs may come from combining neural networks with symbolic reasoning, improving transfer learning, or advancing AI alignment. While AGI is aspirational, progress will depend on interdisciplinary efforts and addressing societal implications.