AI is having its Nobel moment. Do scientists need the tech industry to sustain it?

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AI’s moment as a commercial blockbuster has also reached the pinnacles of scientific recognition.

FILE – Computer scientist Geoffrey Hinton, who studies neural networks used in artificial intelligence applications, poses at Google’s Mountain View, Calif, headquarters on Wednesday, March 25, 2015. Hinton doesn’t work at Google anymore. Nor did the longtime professor at the University of Toronto do his pioneering research at the tech giant.

Neural network advances came from “basic, curiosity-driven research,” Hinton said at a press conference after his win. “Not out of throwing money at applied problems, but actually letting scientists follow their curiosity to try and understand things.” Researcher John Jumper, left, and Demis Hassabis, CEO of DeepMind Technologies, the AI division behind Gemini, speak to Associated Press at the Google DeepMind offices in London, Wednesday, Oct. 9, 2024 after being awarded with the Nobel Prize in Chemistry.

“I wanted to recreate a modern day industrial research lab that really did cutting-edge research,” Hassabis said. “But of course, that needs a lot of patience and a lot of support. We’ve had that from Google and it’s been amazing.”3 Bay Area counties are among the most at risk in U.S. for natural disasters. One is trying to improve its preparedness.

“Obviously there are these big companies now that are trying to cash in on all the commercial success and that is exciting,” said Zemel, now a Columbia professor. “And over time, it turned out that Sam Altman was much less concerned with safety than with profits. And I think that’s unfortunate,” Hinton said.

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