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AGI will become truly autonomous when it can learn, adapt, and make complex decisions without human input. Right now, AI is powerful but still relies on predefined models and human oversight. For AGI to take the next big step, we need breakthroughs in areas like neurosymbolic AI, which combines deep learning with logical reasoning, making AI more intuitive and capable of understanding context. Another key factor is energy-efficient computing because true autonomy means operating independently without massive computational costs. Self-improving algorithms will also play a huge role, allowing AI to evolve and optimize itself over time. But perhaps the most important challenge is ensuring AI aligns with human values, so it makes ethical choices and avoids unintended consequences.