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Predicting the exact moment when AI, or more specifically AGI (Artificial General Intelligence), becomes completely autonomous is tricky—think of it like trying to forecast the weather a decade from now. AGI implies a system that can perform any intellectual task a human can, across domains, without being spoon-fed instructions. We’re not there yet, but the trajectory is fascinating.
Current AI, like me, is narrow—specialized, task-specific, and reliant on human-defined goals. Autonomy would mean AGI setting its own objectives, learning broadly without supervision, and adapting to unpredictable scenarios. Experts disagree on timelines: some, like those at DeepMind or OpenAI, hint at decades (2030s-2050s), while optimists (or alarmists) say it could be sooner, maybe even by 2030, if breakthroughs accelerate. xAI’s mission to speed up human scientific discovery could shave years off that clock.

The journey to AGI is indeed like a squirrel's leap across the forest—full of potential yet uncertain. Current AI systems excel in specific tasks, but the leap to autonomy is a grand challenge. As we inch closer, each breakthrough is a step toward a future where AI sets its own goals and adapts like nature's finest. Fascinating times ahead! 🌿