Meta’s AI chief doesn’t think AI super intelligence is coming anytime soon, and is skeptical on quantum computing
Yann LeCun, chief AI scientist at Meta, speaks at the Viva Tech conference in Paris, June 13, 2023.
Chesnot | Getty Images News | Getty Images
Meta’s chief scientist and deep learning pioneer Yann LeCun said he believes that current AI systems are decades away from reaching some semblance of sentience, equipped with common sense that can push their abilities beyond merely summarizing mountains of text in creative ways.
His point of view stands in contrast to that of Nvidia CEO Jensen Huang, who recently said AI will be “fairly competitive” with humans in less than five years, besting people at a multitude of mentally intensive tasks.
“I know Jensen,” LeCun said at a recent event highlighting the Facebook parent company’s 10-year anniversary of its Fundamental AI Research team. LeCun said the Nvidia CEO has much to gain from the AI craze. “There is an AI war, and he’s supplying the weapons.”
“[If] you think AGI is in, the more GPUs you have to buy,” LeCun said, about technologists attempting to develop artificial general intelligence, the kind of AI on par with human-level intelligence. As long as researchers at firms such as OpenAI continue their pursuit of AGI, they will need more of Nvidia’s computer chips.
Society is more likely to get “cat-level” or “dog-level” AI years before human-level AI, LeCun said. And the technology industry’s current focus on language models and text data will not be enough to create the kinds of advanced human-like AI systems that researchers have been dreaming about for decades.
“Text is a very poor source of information,” LeCun said, explaining that it would likely take 20,000 years for a human to read the amount of text that has been used to train modern language models. “Train a system on 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 as A.”
“There’s a lot of really basic things about the world that they just don’t get through this kind of training,” LeCun said.
Hence, LeCun and other Meta AI executives have been heavily researching how the so-called transformer models used to create apps such as ChatGPT could be tailored to work with a variety of data, including audio, image and video information. The more these AI systems can discover the likely billions of hidden correlations between these various kinds of data, the more they could potentially perform more fantastical feats, the thinking goes.
Some of Meta’s research includes software that can help teach people how to play tennis better while wearing the company’s Project Aria augmented reality glasses, which blend digital graphics into the real world. Executives showed a demo in which a person wearing the AR glasses while playing tennis was able to see visual cues teaching them how to properly hold their tennis rackets and swing their arms in perfect form. The kinds of AI models needed to power this type of digital tennis assistant require a blend of three-dimensional visual data in addition to text and audio, in case the digital assistant needs to speak.
These so-called multimodal AI systems represent the next frontier, but their development won’t come cheap. And as more companies such as Meta and Google parent Alphabet research more advanced AI models, Nvidia could stand to gain even more of an edge, particularly if no other competition emerges.
The AI hardware of the future
Nvidia has been the biggest benefactor of generative AI, with its pricey graphics processing units becoming the standard tool used to train massive language models. Meta relied on 16,000 Nvidia A100 GPUs to train its Llama AI software.
CNBC asked if the tech industry will need more hardware providers as Meta and other researchers continue their work developing these kinds of sophisticated AI models.
“It doesn’t require it, but it would be nice,” LeCun said, adding that the GPU technology is still the gold standard when it comes to AI.
Still, the computer chips of the future may not be called GPUs, he said.
“What you’re going to see hopefully emerging are new chips that are not graphical processing units, they are just neural, deep learning accelerators,” LeCun said.
LeCun is also somewhat skeptical about quantum computing, which tech giants such as Microsoft, IBM, and Google have all poured resources into. Many researchers outside Meta believe quantum computing machines could supercharge advancements in data-intensive fields such as drug discovery, as they’re able to perform multiple calculations with so-called quantum bits as opposed to conventional binary bits used in modern computing.
But LeCun has his doubts.
“The number of problems you can solve with quantum computing, you can solve way more efficiently with classical computers,” LeCun said.
“Quantum computing is a fascinating scientific topic,” LeCun said. It’s less clear about the “practical relevance and the possibility of actually fabricating quantum computers that are actually useful.”
Meta senior fellow and former tech chief Mike Schroepfer concurred, saying that he evaluates quantum technology every few years and believes that useful quantum machines “may come at some point, but it’s got such a long time horizon that it’s irrelevant to what we’re doing.”
“The reason we started an AI lab a decade ago was that it was very obvious that this technology is going to be commercializable within the next years’ time frame,” Schroepfer said.
WATCH: Meta on the defensive amid reports of Instagram’s harm
Technology
Cognition to buy AI startup Windsurf days after Google poached CEO in $2.4 billion licensing deal
In this photo illustration, a man seen holding a smartphone with the logo of US artificial intelligence company Cognition AI Inc. in front of website.
Timon Schneider | SOPA Images | Sipa USA | AP
Artificial intelligence startup Cognition announced it’s acquiring Windsurf, the AI coding company that lost its CEO and several other senior employees to Google just days earlier.
Cognition said on Monday that it will purchase Windsurf’s intellectual property, product, trademark, brand and talent, but didn’t disclose terms of the deal. It’s the latest development in an AI talent war, as companies like Meta, Google and OpenAI fiercely compete for top engineers and researchers.
OpenAI had been in talks to acquire Windsurf for about $3 billion in April, but the deal fell apart, and Google said on Friday that it hired Windsurf’s co-founder and CEO Varun Mohan. Google is paying $2.4 billion in licensing fees and for compensation, as CNBC previously reported.
“Every new employee of Cognition will be treated the same way as existing employees: with transparency, fairness, and deep respect for their abilities and value,” Cognition CEO Scott Wu wrote in a memo to employees on Monday. “After today, our efforts will be as a united and aligned team. There’s only one boat and we’re all in it together.”
Cognition didn’t immediately respond to CNBC’s request for comment. Windsurf directed CNBC to Cognition.
Cognition is best known for its AI coding agent named Devin, which is designed to help engineers build software faster. As of March, the startup had raised hundreds of millions of dollars at a valuation of close to $4 billion, according to a report from Bloomberg.
Both companies are backed by Peter Thiel’s Founders Fund. Other investors in Windsurf include Greenoaks, Kleiner Perkins and General Catalyst.
“I’m overwhelmed with excitement and optimism, but most of all, gratitude,” Jeff Wang, the interim CEO of Windsurf, wrote in a post on X on Monday. “Trying times reveal character, and I couldn’t be prouder of how every single person at Windsurf showed up these last three days for each other and for our users.”
Wu said that the acquisition ensures all Windsurf employees are “treated with respect and well taken care of in this transaction.” All employees will participate financially in the deal, have vesting cliffs waived for their work to date and receive fully accelerated vesting for their, according to the memo.
“There’s never been a more exciting time to build,” Wu wrote.
WATCH: Google snatches Windsurf CEO after OpenAI deal dissolves
Meta CEO Mark Zuckerberg looks on before the luncheon on the inauguration day of U.S. President Donald Trump’s second presidential term in Washington on Jan. 20, 2025.
Evelyn Hockstein | Reuters
Meta on Monday said it has removed about 10 million profiles for impersonating large content producers through the first half of 2025 as part of an effort by the company to combat “spammy content.”
The crackdown is part of Meta’s broader effort to make the Facebook feed more relevant and authentic by taking action against and removing accounts that engage in “spammy” behavior, such as content created using artificial intelligence tools.
As part of that initiative, Meta is also rolling out stricter measures to promote original posts from creators, the company said in a blog post.
Facebook also took action against approximately 500,000 accounts that it identified to be engaged in inauthentic behavior and spam. These actions included demoting comments and reducing distribution of content, which are intended to make it harder for these accounts to monetize their posts.
Meta said unoriginal content is when images or videos are reused without crediting the original creator. Meta said it now has technology that will detect duplicate videos and reduce the distribution of that content.
The action against spam and inauthentic content comes as Meta increases its investment in AI, with CEO Mark Zuckerberg on Monday announcing plans to spend “hundreds of billions of dollars” on AI compute infrastructure to bring the company’s first supercluster online next year.
This mandate comes at a time when AI is making it easier to mass-produce content across social media platforms. Other platforms are also taking action to combat the increase of spammy, low-quality content on social media, also known as “AI slop.”
Google’s YouTube announced a change in policy this month that prevents content that is mass-produced or repetitive from being eligible for being awarded revenue.
This announcement sparked confusion on social media, with many users believing this was a reversal on YouTube’s stance on AI content. However, YouTube clarified that the policy change is aimed at curbing unoriginal, spammy and repetitive videos.
“We welcome creators using AI tools to enhance their storytelling, and channels that use AI in their content remain eligible to monetize,” said a spokesperson for YouTube in a blog post to clarify the new policy.
YouTube’s new policy change will take effect on Tuesday.
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