Meta AI boss Yann LeCun recently discussed the industry-wide state of artificial intelligence (AI) and quantum computing at an event celebrating the 10th anniversary of the founding of the Meta team Fundamental Artificial Intelligence Research (FAIR).
During LeCun's commentary, he commented on Nvidia's current stranglehold on the AI hardware industry, the likelihood of human-level AI emerging in the near future, and why Meta is not currently pursuing quantum computing alongside its competitors.
By “not anytime soon” I mean “definitely not in the next five years,” contrary to a number of people in the AI industry.
Yes, I am skeptical about quantum computing, especially when it comes to its application to AI.https://t.co/5t63w1GNfL
— Yann LeCun (@ylecun) December 3, 2023
The war of artificial intelligence
LeCun's views on the impending development of so-called human AI are well documented. He has long argued that we need to get to “dog” and “cat” levels of AI before the field is advanced enough to support human-level AI. And he has so far been cautious about predicting when those first milestones will occur.
In comparison, Elon Musk recently made the bold prediction that a “digital god” would arrive within the next three to five years.
Perhaps in the middle lies Nvidia CEO Jensen Huang. He recently stated that in the next five years, AI will be able to run tests on humans in a “pretty competitive” way. While this does not claim full human-level capabilities, some experts consider conducting tests as a measure of an AI's capabilities.
LeCun is apparently not one of them. During FAIR's 10th anniversary celebration, he commented on the Nvidia CEO's claims:
“I know Jensen. There is an AI war and it is providing the weapons.”
The Meta AI boss's statement likely refers to the recent news that Nvidia is now the most valuable chipmaker in the world, a feat largely due to the company's GPUs becoming the status quo hardware for training large language models how ChatGPT have become.
LeCun further explained that the current technology cited as a potential trigger for AGI, generative AI, is simply not good enough. “Text is a very poor source of information,” he said, adding: “Train a system with the equivalent of 20,000 years of reading material and they still don't understand that if A is the same as B, then B is the same. “ the same as A.”
Related: Nvidia reports record third-quarter revenue of $18 billion and cites generative AI as a key driver
Quantum computing
Another area LeCun touched on during the event was quantum computing. In contrast to its competitors Google and Microsoft, Meta has moved relatively far away from the quantum computer competition.
“Quantum computing is a fascinating scientific topic,” LeCun said, but other comments made it clear that he believed the technology was not yet mature. “The many problems that can be solved with quantum computing can be solved much more efficiently with classical computers.”
Meanwhile, Microsoft recently entered into a $100 million partnership with Canadian quantum computing company Photonic to bring a fault-tolerant, fully functional quantum networking system to market within the next five years.
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