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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."

Go deeper

Updated 1 hour ago - Sports

Olympics dashboard

Team USA's Simone Biles during the women's team final on day four of the Tokyo 2020 Olympic Games at Ariake Gymnastics Centre on Tuesday in Japan. Photo: Fred Lee/Getty Images

🤸🏾‍♀️: Simone Biles reacts to "love and support" after withdrawing from all-around gymnastics and team finals, citing her mental health

🏃: U.S. pole vaulter Sam Kendricks withdraws from Games after positive coronavirus test

🏊‍♂️: Caeleb Dressel wins gold in men's 100m freestyle —Bobby Finke wins gold in first men's Olympic 800m freestyle

📷: In photos: Tokyo Olympics day 6 highlights

🗓: The Olympic events to watch today

💵: Olympic athletes see more sponsorship opportunities

🏃‍: Female Olympians push back against double standard in uniforms

Go deeper: Full Axios coverage - Medal tracker

Felix Salmon, author of Capital
2 hours ago - Economy & Business

Giant earnings growth for the world's largest companies

Illustration: Aïda Amer/Axios

Never in the history of capitalism have the world's biggest companies grown as fast as the tech giants in recent years.

Why it matters: A series of stunning earnings reports this week — with another one likely to arrive Thursday afternoon, from Amazon — has underscored the astonishing growth among a group of companies that were already some of the most profitable of all time.

Biden administration outlines goals to slow migration

Vice President Kamala Harris speaks during a press conference in Guatemala City on June 7. Photo: Jim Watson/AFP via Getty Images

Vice President Kamala Harris has big goals for improving conditions in Central America to help slow migration from the region toward the United States.

Driving the news: Senior administration officials unveiled five sweeping goals during a call on Wednesday: Bettering economic prospects; rooting out corruption; promoting human rights, labor rights, and a free press; preventing gang violence; and combating sexual, gender-based and domestic violence.