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#dailychallenge day15
AGI Modularity Hypothesis
• The idea that Artificial General Intelligence (AGI) will be built from modular components, each specializing in different cognitive functions.
• Inspired by Human Brain: Similar to how the brain has specialized regions (e.g., vision, language, memory), AGI could have distinct modules for different tasks.
• Decentralized Processing: Instead of a single monolithic system, modular AGI would distribute intelligence across multiple specialized units.
• Improved Efficiency: Specialized modules could work together efficiently, reducing computational overhead compared to a single large model.
• Scalability: Allows for incremental improvements by upgrading or adding modules without retraining the entire system.
• Adaptability: Enables dynamic learning, where AGI can develop new skills by integrating new modules.
• Challenges: Ensuring seamless communication between modules, preventing conflicts, and maintaining generalization across tasks. 0 reply
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