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The Unpredictability of Artificial Intelligence
The dominant engineering paradigm right now is just get more data if it doesn't work. We need more to actually be able to converge on something like general intelligence. These networks are exhibiting obvious failures of abstraction and they're not learning the way humans learn. And we're discovering these failures, perhaps to the comfort of people who are terrified of AGI singularity being reached.