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AI can solve complex problems, generate human-like text, and even beat grandmasters in chess. But ask it whether a couch can fit through a doorway, and it might hesitate. Why? Because AI still struggles with common sense; something humans develop naturally from experience.
Common sense is our ability to understand everyday situations, make logical connections, and apply basic reasoning. It’s why we know that you shouldn’t use a toaster in the bathtub or that a glass dropped from a table will likely break.
For AI, these things aren’t obvious. AI learns from data, not experience, meaning if it hasn’t been trained on a specific scenario, it might fail to recognize the most basic cause-and-effect relationships.
Big players like OpenAI and DeepMind are working on AI models that incorporate commonsense reasoning, using vast knowledge bases and simulations. Efforts like ConceptNet and Deep Learning for Common Sense (DL4CS) are helping AI understand basic logic.
Yet, even today’s most advanced AI models are far from truly thinking like humans. While AI can predict outcomes based on patterns, it still lacks the innate understanding that makes human intelligence so flexible.
AI is improving, but true common sense requires a deep, intuitive understanding of the world – something even the best machine-learning models don’t have yet. Until then, AI will remain an incredibly smart tool that still needs a human touch to fill in the gaps.
What do you think? Will AI ever match human intuition, or is common sense something only we can master?
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