In the more romanticized view, a machine intelligence unhindered by the need for sleep or the inefficiency of human communication could help solve complex challenges like climate change, poverty, and hunger.īut the resounding consensus within the field is that such advanced capabilities would take decades, even centuries-if indeed it’s possible to develop them at all. There are also differing opinions about what purpose AGI could serve. It’s not obvious, for instance, that there is only one kind of general intelligence human intelligence could just be a subset. No one can really describe what it might look like or the minimum of what it should do. The trouble is, AGI has always remained vague.
“It’s like, do we understand the origin of the universe? Do we understand matter?” “It is one of the most fundamental questions of all intellectual history, right?” says Oren Etzioni, the CEO of the Allen Institute for Artificial Intelligence (AI2), a Seattle-based nonprofit AI research lab. In 1950, Alan Turing, the renowned English mathematician and computer scientist, began a paper with the now-famous provocation “Can machines think?” Six years later, captivated by the nagging idea, a group of scientists gathered at Dartmouth College to formalize the discipline. Since its earliest conception, AI as a field has strived to understand human-like intelligence and then re-create it.
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