Artificial intelligence pioneer says we need to start over

Geoffrey Hinton harbors doubts about AI's current workhorse. (Johnny Guatto / University of Toronto)

In 1986, Geoffrey Hinton co-authored a paper that, three decades later, is central to the explosion of artificial intelligence. But Hinton says his breakthrough method should be dispensed with, and a new path to AI found.

Speaking with Axios on the sidelines of an AI conference in Toronto on Wednesday, Hinton, a professor emeritus at the University of Toronto and a Google researcher, said he is now "deeply suspicious" of back-propagation, the workhorse method that underlies most of the advances we are seeing in the AI field today, including the capacity to sort through photos and talk to Siri. "My view is throw it all away and start again," he said.

The bottom line: Other scientists at the conference said back-propagation still has a core role in AI's future. But Hinton said that, to push materially ahead, entirely new methods will probably have to be invented. "Max Planck said, 'Science progresses one funeral at a time.' The future depends on some graduate student who is deeply suspicious of everything I have said."

How it works: In back propagation, labels or "weights" are used to represent a photo or voice within a brain-like neural layer. The weights are then adjusted and readjusted, layer by layer, until the network can perform an intelligent function with the fewest possible errors.

But Hinton suggested that, to get to where neural networks are able to become intelligent on their own, what is known as "unsupervised learning," "I suspect that means getting rid of back-propagation."

"I don't think it's how the brain works," he said. "We clearly don't need all the labeled data."

Additional Stories

How the China trade war threatens U.S. manufacturing jobs

Inside Fuyao Glass, a Chinese-owned factory in Moraine, Ohio. Photo: Andrew Spear/Washington Post/Getty Images

Automation and offshoring have destroyed millions of U.S. manufacturing jobs in the last 2 decades, but another, less-discussed threat to those jobs is the U.S.-China trade war.

The big picture: Almost a fifth of all manufacturing jobs in the U.S. are created by foreign companies that put their factories in American towns to get closer to the U.S. market, according to Brookings, and around a quarter of U.S. exports come from factories owned by foreign countries, reports the Washington Post.

Cities lead the backlash against dollar stores

Illustration: Aïda Amer/Axios

In an effort to revive shuttered main streets and empower mom-and-pop stores, a number of U.S. cities are passing laws to limit the rapid expansion of dollar stores in their neighborhoods.

Why it matters: Around 14 million people live in food deserts, per the USDA. Experts say one contributor to the crisis is the meteoric rise of dollar chains, which are popping up on every street corner, crowding out other retailers and grocers, and very rarely selling fresh food.

How Americans really see success

Data: Populace/Gallup Success Index; Chart: Axios Visuals

How Americans believe our society measures success — namely, fame — is totally different than how people define success in their own lives, according to a new Gallup/Populace survey of more than 5,000 Americans given first to Axios.

Why it matters: Our measures of personal success are highly individualized, but tend to follow some patterns for women and men, liberals and conservatives, and different levels of income, the survey found.

Read more at Axios
© Copyright Axios 2019