Speaker defines AGI as a system capable of learning to perform at human level across all cognitive tasks. The speaker then summarizes recent capability progression—high school level a few years ago, then college level, and now PhD-level performance across many domains—and extrapolates that continued rapid progress could produce human-level learning systems in a short time.
I'll define AGI as sort of a system that is capable of learning how to perform at human level across all cognitive tasks.
And if you look at the past few years, this year we have systems that are capable of PhD level performance.
In many different domains. And before that we had college level performance. And before that, just a couple of years before that, we had high school level performance. So if you just look at this trend and extrapolate it out, you know, it's not for certain, but it shows that progress will likely continue. And it's not unreasonable that in a very short time we could get to a system that has the capability to learn how to perform at human level.
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