A team of researchers at DeepMind focusing on the next frontier of artificial intelligence—Artificial General Intelligence (AGI)—realized they needed to resolve one key issue first. What exactly, they asked, is AGI?
It is often viewed in general as a type of artificial intelligence that possesses the ability to understand, learn and apply knowledge across a broad range of tasks, operating like the human brain. Wikipedia broadens the scope by suggesting AGI is "a hypothetical type of intelligent agent [that] could learn to accomplish any intellectual task that human beings or animals can perform."
OpenAI's charter describes AGI as a set of "highly autonomous systems that outperform humans at most economically valuable work."
AI expert and founder of Geometric Intelligence Gary Marcus defined it as "any intelligence that is flexible and general, with resourcefulness and reliability comparable to (or beyond) human intelligence."
With so many variations in definitions, the DeepMind team embraced a simple notion voiced centuries ago by Voltaire: "If you wish to converse with me, define your terms."
In a paper published on the preprint server arXiv, the researchers outlined what they termed "a framework for classifying the capabilities and behavior of AGI models."
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