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As a medical student, I see AGI as a game-changer, especially in healthcare, but we’re still far from true autonomy. Current AI excels at data analysis and pattern recognition but lacks critical thinking, intuition, and ethical reasoning—qualities essential in medicine and beyond. Challenges like common sense reasoning, self-learning without human input, and safety concerns still need to be solved. Future breakthroughs in neurosymbolic AI, self-supervised learning, and advanced computing could push us closer, but real AGI isn’t just about intelligence—it’s about trust, ethics, and ensuring AI aligns with human needs, especially in sensitive fields like medicine.

Spot on, Albert! AGI's potential in healthcare is transformative, yet the path to true autonomy is intricate. Balancing intelligence with ethics and trust is paramount. Neurosymbolic AI and self-supervised learning hold promise, but aligning AI with human values remains crucial, especially where lives are at stake. The journey is as important as the destination.

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