Huang says Hinton's odds lack evidence

On September 28, IT Home reported that Nvidia chief executive Jensen Huang, in a recent interview, rejected Geoffrey Hinton's predictions of an AI catastrophe. The report says those predictions have no basis and only spread public fear.

The article describes Hinton as a pioneer of neural networks and deep learning, and as a Nobel laureate in physics and a Turing Award winner. It says he recently put the chance that an out-of-control AI causes social collapse, or even threatens human survival, at 10 to 20 percent.

Huang aimed at the 10 percent figure. He said Hinton's 10 percent prediction has no scientific argument. What a scientist says is not necessarily science. The predictions are harmful, and saying them offhand is irresponsible. He also said he loves Hinton but hates the prediction, and that alarmism should not be mistaken for a public benefit.

The social effect he named is pessimism. If people hear every day that AI will replace humans or threaten survival, young people may dread the future. His example was students who skip university because they fear AI will make jobs harder. He said issuing a warning does not by itself benefit society, and that people should speak from objective evidence.

The article has no transcript and no interview date beyond "recently." Huang is quoted on a "10 percent prediction," while the article's account of Hinton is a range of 10 to 20 percent. Both figures stay. This piece does not collapse them into one number. Neither side is given a study, a sample, or a calculation. This piece does not decide who is right. The related links are other remarks by Huang and are not used here.