What is the difference between Strong AI, Weak AI, and Artificial General Intelligence (AGI)?

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These three terms describe AI on a spectrum of capability and 'understanding'. Weak AI (Narrow AI) — designed and trained for a specific task . Examples: spam filters, Alexa, image classifiers, even GPT-4 for chat. Cannot generalize beyond its trained domain. Strong AI — a philosophical concept of a system that has genuine consciousness and understanding, not just simulation. Hypothetical. Artificial General Intelligence (AGI) — a system that can perform any intellectual task a human can , with the same flexibility and transfer ability. Still hypothetical; today's systems are narrow. State of the art (2026): all production AI is Narrow AI , even highly capable LLMs. AGI remains an open research goal. Many candidates conflate Strong AI with AGI. Be precise: Strong AI = systems with genuine understanding/consciousness (philosophical), AGI = systems matching human-level cognitive flexibility (technical). Today's LLMs are Narrow AI, even very capable ones.