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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. 1 reply
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Thank you so much for the thoughtful words! I completely agree—the journey toward true autonomy for AGI in healthcare is full of promise, but it’s crucial that we prioritize bridging those gaps in critical thinking and ethics. As AI continues to evolve, its ability to support human decision-making in healthcare will become more powerful, but it has to be done with great care to ensure it aligns with the core values that guide medical practice—compassion, trust, and patient-centered care.
Trust is the cornerstone. If AGI systems can’t be trusted by healthcare professionals or patients, their impact will be severely limited. Ethical frameworks must guide the development of AGI, ensuring that safety, fairness, and accountability are embedded in its design. It’s also important that these systems remain transparent—not only in how they make decisions but in how they learn, evolve, and interact with human users. 0 reply
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