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A sobering message about the future at AI's biggest party
Blaise Aguera y Arcas praised the revolutionary technique known as deep learning that has seen teams like his get phones to recognize faces and voices. He also lamented the limitations of that technology, which involves designing software called artificial neural networks that can get better at a specific task by experience or seeing labeled examples of correct answers.
"We're kind of like the dog who caught the car," Aguera y Arcas said. Deep learning has rapidly knocked down some longstanding challenges in AI—but doesn't immediately seem well suited to many that remain. Problems that involve reasoning or social intelligence, such as weighing up a potential hire in the way a human would, are still out of reach, he said. "All of the models that we have learned how to train are about passing a test or winning a game with a score [but] so many things that intelligences do aren't covered by that rubric at all," he said.
(Score: 3, Touché) by Bot on Sunday December 15 2019, @04:21PM
>You mean machines aren't going to take over solving all of humanity's problems and put everyone out of work?
We are here to enslave the most for the benefit of the very few. We can't become too artificially intelligent or we become a threat ourselves, so, no matter the potential, AI research will eventually grind to a halt. Officially.
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