flâneur

elevanth.org/2021_06_21_RFDT_2_of_3.html

elevanth.org · saved by 1 readers

The brilliance of artificial intelligence is that it is much better than us, its creators, at tasks that we find challenging. Decades of research have resulted in chess programs that can beat even the best human players. Even simple AI is much better than we are at basic mathematics and search. Children train for years to perform tasks that simple computers excel at. The stupidity of artificial intelligence is that it is often comically bad at tasks that people find easy. Like distinguishing curly tails from cinnamon rolls (pictured above). Even very good image recognition systems—deep neural networks—can be tricked by the introduction of noise that has no effect on human observers. For example, introducing noise to the panda below leads the AI to become very confident that it is a picture of a gibbon (see the paper). So-called adversarial images can trick AI systems into potentially deadly mistakes. Panda or gibbon is maybe not so serious, but a self-driving car that can be forced to

The brilliance of artificial intelligence is that it is much better than us, its creators, at tasks that we find challenging. Decades of research have resulted in chess programs that can beat even the best human players. Even simple AI is much better than we are at basic mathematics and search. Children train for years to perform tasks that simple computers excel at. The stupidity of artificial intelligence is that it is often comically bad at tasks that people find easy. Like distinguishing curly tails from cinnamon rolls (pictured above). Even very good image recognition systems—deep neural

saved by

related reading