Meta‘s chief artificial intelligence scientist Yann LeCun has spent much of the past week sparring with Elon Musk over the Tesla CEO’s treatment of scientists and news organizations, and for spreading false conspiracies on social media.
“I like his cars (I own a 2015 S, and 2023 S), his rockets, his solar energy systems, and his satellite communication systems,” LeCun wrote about Musk on Sunday in a Post on X, the social media site that Musk owns. “But I very much disagree with him on a number of issues.”
The spat began days earlier, on May 27, after Musk took to X to encourage people to apply for roles at his AI startup, xAI. The company, which last week announced it had raised $6 billion, is in a battle for AI engineers with high-profile startups, such as OpenAI and Anthropic, as well as top tech companies, including Google, Microsoft, Amazon and Meta.
Meta is trying to differentiate itself in the world of large language models, or LLMs, which have powered the recent boom in generative AI product development. While LLMs from xAI, OpenAI and Google are closed and proprietary for now, Meta is touting its Llama family of models as open source, meaning other researchers can copy, tweak or otherwise use them for their own AI initiatives.
In response to Musk’s promotional post, LeCun wrote, “Join xAI if you can stand a boss who makes promises that can’t be met, claims AI will ‘kill everyone’ and spews wild ‘conspiracy theories on his own social platform.'”
They continued going at it on Monday after Dr. Anthony Fauci testified publicly for the first time since leaving the government in 2022. Fauci appeared before the House Select Subcommittee on the Coronavirus Pandemic, facing broad criticism from Republicans who have long claimed he lied about the genesis of Covid-19.
Musk, who has previously called for the prosecution of Fauci, posted on X, “Why do Dems love Fauci so much.” He also unfollowed LeCun.
In response to being unfollowed, LeCun wrote, “Must have been my tweet in defense of Anthony Fauci.”
He followed by writing, “Elon’s call for Fauci to be prosecuted and imprisoned is pretty high up on the scale of anti-science a–holery.”
While Musk and Meta CEO Mark Zuckerberg have engaged in a yearslong public dispute and were even goading each other for months last year about a possible cage match, few tech leaders have been willing to criticize Musk in the open or bet against his companies.
Microsoft co-founder Bill Gates previously shorted Tesla stock. Investor Mark Cuban criticized Musk over his opposition to corporate Diversity, Equity, and Inclusion (DEI) efforts. And Meta co-founder Dustin Moskovitz has accused Tesla of consumer fraud.
In posts on X and LinkedIn over the weekend, LeCun said he disagrees with Musk’s secrecy when it comes to developing new technology and products and the “blatantly false” predictions he shares with the public, in addition to how he chooses to share “dangerous political opinions” and conspiracy theories.
Musk said in a post on X Monday that LeCun has been “out of touch with AI for a long time.” A Google Scholar link shared by LeCun indicates he has published 80 technical papers since January 2022.
LeCun and Musk didn’t respond to requests for comment on Monday.
The “blatantly false” predictions LeCun referenced included Musk’s claims that artificial general intelligence would arrive next year and that Tesla would bring 1 million robotaxis to market by 2020.
The latter promise came on a call with investors in 2019. At the time, Musk said robotaxis would make Tesla a company worth $500 billion. Tesla’s market cap topped $1 trillion in 2021, but the company still hasn’t delivered a single robotaxi.
Musk has also shared lofty goals for his brain implant startup Neuralink. He’s claimed Neuralink’s devices could enable “superhuman cognition” and “solve” autism and schizophrenia. During a “show and tell” recruitment event in late 2022, Musk said he plans to get an implant himself.
The company has implanted its flagship system in one human patient so far and has not received FDA approval for its technology.
LeCun was also critical of how Musk takes credit for the work of others. He pointed out that Musk’s only technical publication on Google Scholar is related to Neuralink. It was published in the Journal of Medical Internet Research in 2019. Musk is listed as the lead author, while the blanket term “Neuralink” is listed as the second author.
“I’m sure the scientists who hide behind this collective name are super happy about that,” LeCun said on X. “I just hope they won’t die bitter and forgotten.”
TikTok’s grip on the short-form video market is tightening, and the world’s biggest tech platforms are racing to catch up.
Since launching globally in 2016, ByteDance-owned TikTok has amassed over 1.12 billion monthly active users worldwide, according to Backlinko. American users spend an average of 108 minutes per day on the app, according to Apptoptia.
TikTok’s success has reshaped the social media landscape, forcing competitors like Meta and Google to pivot their strategies around short-form video. But so far, experts say that none have matched TikTok’s algorithmic precision.
“It is the center of the internet for young people,” said Jasmine Enberg, vice president and principal analyst at Emarketer. “It’s where they go for entertainment, news, trends, even shopping. TikTok sets the tone for everyone else.”
Platforms like Meta‘s Instagram Reels and Google’s YouTube Shorts have expanded aggressively, launching new features, creator tools and even considering separate apps just to compete. Microsoft-owned LinkedIn, traditionally a professional networking site, is the latest to experiment with TikTok-style feeds. But with TikTok continuing to evolve, adding features like e-commerce integrations and longer videos, the question remains whether rivals can keep up.
“I’m scrolling every single day. I doom scroll all the time,” said TikTok content creator Alyssa McKay.
But there may a dark side to this growth.
As short-form content consumption soars, experts warn about shrinking attention spans and rising mental-health concerns, particularly among younger users. Researchers like Dr. Yann Poncin, associate professor at the Child Study Center at Yale University, point to disrupted sleep patterns and increased anxiety levels tied to endless scrolling habits.
“Infinite scrolling and short-form video are designed to capture your attention in short bursts,” Dr. Poncin said. “In the past, entertainment was about taking you on a journey through a show or story. Now, it’s about locking you in for just a few seconds, just enough to feed you the next thing the algorithm knows you’ll like.”
Despite sky-high engagement, monetizing short videos remains an uphill battle. Unlike long-form YouTube content, where ads can be inserted throughout, short clips offer limited space for advertisers. Creators, too, are feeling the squeeze.
“It’s never been easier to go viral,” said Enberg. “But it’s never been harder to turn that virality into a sustainable business.”
Last year, TikTok generated an estimated $23.6 billion in ad revenues, according to Oberlo, but even with this growth, many creators still make just a few dollars per million views. YouTube Shorts pays roughly four cents per 1,000 views, which is less than its long-form counterpart. Meanwhile, Instagram has leaned into brand partnerships and emerging tools like “Trial Reels,” which allow creators to experiment with content by initially sharing videos only with non-followers, giving them a low-risk way to test new formats or ideas before deciding whether to share with their full audience. But Meta told CNBC that monetizing Reels remains a work in progress.
While lawmakers scrutinize TikTok’s Chinese ownership and explore potential bans, competitors see a window of opportunity. Meta and YouTube are poised to capture up to 50% of reallocated ad dollars if TikTok faces restrictions in the U.S., according to eMarketer.
Watch the video to understand how TikTok’s rise sparked a short form video race.
The X logo appears on a phone, and the xAI logo is displayed on a laptop in Krakow, Poland, on April 1, 2025. (Photo by Klaudia Radecka/NurPhoto via Getty Images)
Nurphoto | Nurphoto | Getty Images
Elon Musk‘s xAI Holdings is in discussions with investors to raise about $20 billion, Bloomberg News reported Friday, citing people familiar with the matter.
The funding would value the company at over $120 billion, according to the report.
Musk was looking to assign “proper value” to xAI, sources told CNBC’s David Faber earlier this month. The remarks were made during a call with xAI investors, sources familiar with the matter told Faber. The Tesla CEO at that time didn’t explicitly mention any upcoming funding round, but the sources suggested xAI was preparing for a substantial capital raise in the near future.
The funding amount could be more than $20 billion as the exact figure had not been decided, the Bloomberg report added.
Artificial intelligence startup xAI didn’t immediately respond to a CNBC request for comment outside of U.S. business hours.
The AI firm last month acquired X in an all-stock deal that valued xAI at $80 billion and the social media platform at $33 billion.
“xAI and X’s futures are intertwined. Today, we officially take the step to combine the data, models, compute, distribution and talent,” Musk said on X, announcing the deal. “This combination will unlock immense potential by blending xAI’s advanced AI capability and expertise with X’s massive reach.”
Alphabet CEO Sundar Pichai during the Google I/O developers conference in Mountain View, California, on May 10, 2023.
David Paul Morris | Bloomberg | Getty Images
Alphabet‘s stock gained 3% Friday after signaling strong growth in its search and advertising businesses amid a competitive artificial intelligence environment and uncertain macro backdrop.
“GOOGL‘s pace of GenAI product roll-out is accelerating with multiple encouraging signals,” wrote Morgan Stanley‘s Brian Nowak. “Macro uncertainty still exists but we remain [overweight] given GOOGL’s still strong relative position and improving pace of GenAI enabled product roll-out.”
The search giant posted earnings of $2.81 per share on $90.23 billion in revenues. That topped the $89.12 billion in sales and $2.01 in EPS expected by LSEG analysts. Revenues grew 12% year-over-year and ahead of the 10% anticipated by Wall Street.
Net income rose 46% to $34.54 billion, or $2.81 per share. That’s up from $23.66 billion, or $1.89 per share, in the year-ago period. Alphabet said the figure included $8 billion in unrealized gains on its nonmarketable equity securities connected to its investment in a private company.
Adjusted earnings, excluding that gain, were $2.27 per share, according to LSEG, and topped analyst expectations.
Read more CNBC tech news
Alphabet shares have pulled back about 16% this year as it battles volatility spurred by mounting trade war fears and worries that President Donald Trump‘s tariffs could crush the global economy. That would make it more difficult for Alphabet to potentially acquire infrastructure for data centers powering AI models as it faces off against competitors such as OpenAI and Anthropic to develop largely language models.
During Thursday’s call with investors, Alphabet suggested that it’s too soon to tally the total impact of tariffs. However, Google’s business chief Philipp Schindler said that ending the de minimis trade exemption in May, which created a loophole benefitting many Chinese e-commerce retailers, could create a “slight headwind” for the company’s ads business, specifically in the Asia-Pacific region. The loophole allows shipments under $800 to come into the U.S. duty-free.
Despite this backdrop, Alphabet showed steady growth in its advertising and search business, reporting $66.89 billion in revenues for its advertising unit. That reflected 8.5% growth from the year-ago period. The company reported $8.93 billion in advertising revenue for its YouTube business, shy of an $8.97 billion estimate from StreetAccount.
Alphabet’s “Search and other” unit rose 9.8% to $50.7 billion, up from $46.16 billion last year. The company said that its AI Overviews tool used in its Google search results page has accumulated 1.5 billion monthly users from a billion in October.
Bank of America analyst Justin Post said that Wall Street is underestimating the upside potential and “monetization ramp” from this tool and cloud demand fueled by AI.
“The strong 1Q search performance, along with constructive comments on Gemini [large language model] performance and [AI Overviews] adoption could help alleviate some investor concerns on AI competition,” Post wrote in a note.