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Ahmad Rizky 🎩🔵
@arizky15
The Rise of AGI: When Will AI Become Truly Autonomous? Artificial General Intelligence (AGI) refers to an AI system with human-like cognitive abilities—capable of learning, reasoning, and adapting across different domains without explicit programming. While AI has made impressive progress in narrow tasks, true AGI remains a theoretical goal. When Will AI Become Truly Autonomous? Experts have varying predictions about AGI’s timeline: 1. Optimists (2030-2050) – Some researchers believe that within the next few decades, advancements in neural networks, reinforcement learning, and computing power will enable AGI. 2. Skeptics (Beyond 2050) – Others argue that we lack a deep understanding of human cognition, making AGI development a much longer process. 3. Uncertain (Never?) – Some believe AGI may be fundamentally impossible or that it will require a different paradigm than current AI models.
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Ahmad Rizky 🎩🔵
@arizky15
What's the Next Big Breakthrough? Several key developments could accelerate the rise of AGI: Neurosymbolic AI – Combining deep learning with symbolic reasoning to improve generalization and explainability. Self-Supervised Learning – AI learning from vast data without human-labeled examples, mimicking human learning. Energy-Efficient AI – Moving beyond current hardware limitations, using neuromorphic computing or quantum AI. Embodied AI – AI that interacts with the real world via robotics, enhancing adaptability. Theoretical Breakthroughs in Consciousness and Intelligence – Understanding human cognition may unlock AGI’s potential. Challenges Ahead Ethical and Safety Concerns – How do we ensure AGI aligns with human values? Control and Alignment – Preventing AGI from developing unintended behaviors. Regulation and Policy – Balancing innovation with risk mitigation.
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