What is artificial general intelligence (AGI)?

Loosely speaking, an artificial general intelligence (AGI) is a hypothetical future AI that’s smart like a human. There isn't agreement on an exact definition:

  • Wikipedia defines it as "AI that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks."

  • IBM defines it as "The science-fiction version of artificial intelligence, where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility."

  • Some define it as AI that can do most economically-valuable tasks (i.e., do most human jobs).

  • Some define it as AI that reasons in a way that generalizes to a lot of different problems, including problems in domains the AI hasn't encountered before.

AGI is often contrasted with narrow AI, which can only perform one specific task or a few closely related tasks, such as playing board games or recommending products.

Nobody has built AGI yet1, but some AI labs are explicitly trying to. Many experts expect that AGI will be built in the not-too-distant future. We don’t know what the first AGI will look like or whether it can be produced by scaling current architectures (such as GPT).


  1. Some people disagree and argue that current LLMs are AGI. ↩︎



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