Mark Zuckerberg told the world in October 2021 that he was rebranding Facebook to Meta as the company pushes toward the metaverse.
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Facebook users are now able to delete some personal information that can be used by the company in the training of generative artificial intelligence models.
Meta updated the Facebook help center resource section on its website this week to include a form titled “Generative AI Data Subject Rights,” which allows users to “submit requests related to your third party information being used for generative AI model training.”
The company is adding the opt-out tool as generative AI technology is taking off across tech, with companies creating more sophisticated chatbots and turning simple text into sophisticated answers and images. Meta is giving people the option to access, alter or delete any personal data that was included in the various third-party data sources the company uses to train its large language and related AI models.
On the form, Meta refers to third-party information as data “that is publicly available on the internet or licensed sources.” This kind of information, the company says, can represent some of the “billions of pieces of data” used to train generative AI models that “use predictions and patterns to create new content.”
In a related blog post on how it uses data for generative AI, Meta says it collects public information on the web in addition to licensing data from other providers. Blog posts, for example, can include personal information, such as someone’s name and contact information, Meta said.
The form doesn’t account for a user’s activity on Facebook-owned properties, such as their public Facebook comments and Instagram photos. CNBC contacted Meta for information about whether that first-party information will continue to be used in training its generative AI models. The company hasn’t responded.
Like many tech peers, including Microsoft, OpenAI and Google parent Alphabet, Meta gathers enormous quantities of third-party data to train its models and related AI software.
“To train effective models to unlock these advancements, a significant amount of information is needed from publicly available and licensed sources,” Meta said in the blog post. The company added that “use of public information and licensed data is in our interests, and we are committed to being transparent about the legal bases that we use for processing this information.”
Recently, however, some data privacy advocates have questioned the practice of aggregating vast quantities of publicly available information to train AI models.
Last week, a consortium of data protection agencies from the U.K., Canada, Switzerland and other countries issued a joint statement to Meta, Alphabet, TikTok parent ByteDance, X (formerly known as Twitter), Microsoft and others about data scraping and protecting user privacy.
The letter was intended to remind social media and tech companies that they remain subject to various data protection and privacy laws around the world and “that they protect personal information accessible on their websites from data scraping, particularly so that they are compliant with data protection and privacy laws around the world.”
“Individuals can also take steps to protect their personal information from data scraping, and social media companies have a role to play in enabling users to engage with their services in a privacy protective manner,” the group said in the statement.
Here’s how you can delete some of your Facebook data used for training generative AI models:
Go to the “Generative AI Data Subject Rights” form on Meta’s privacy policy page about generative AI.
Choose from three options that Meta says “best describes your issue or objection.”
The first option lets people access, download, or correct any of their personal information gleaned from third-party sources that’s used to train generative AI models. By choosing the second option, they can delete any of the personal information from those third-party data sources used for training. The third option is for people who “have a different issue.”
After selecting one of the three options, users will need to pass a security check test. Some users have commented that they’re unable to finish completing the form because of what appears to be a software bug.
Co-founder and chief executive officer of Nvidia Corp., Jensen Huang attends the 9th edition of the VivaTech trade show in Paris on June 11, 2025.
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Nvidia CEO Jensen Huang has downplayed U.S. fears that his firm’s chips will aid the Chinese military, days ahead of another trip to the country as he attempts to walk a tightrope between Washington and Beijing.
In an interview with CNN aired Sunday, Huang said “we don’t have to worry about” China’s military using U.S.-made technology because “they simply can’t rely on it.”
“It could be limited at any time; not to mention, there’s plenty of computing capacity in China already,” Huang said. “They don’t need Nvidia’s chips, certainly, or American tech stacks in order to build their military,” he added.
The comments were made in reference to years of bipartisan U.S. policy that placed restrictions on semiconductor companies, prohibiting them from selling their most advanced artificial intelligence chips to clients in China.
Huang also repeated past criticisms of the policies, arguing that the tactic of export controls has been counterproductive to the ultimate goal of U.S. tech leadership.
“We want the American tech stack to be the global standard … in order for us to do that, we have to be in search of all the AI developers in the world,” Huang said, adding that half of the world’s AI developers are in China.
That means for America to be an AI leader, U.S. technology has to be available to all markets, including China, he added.
Washington’s latest restrictions on Nvidia’s sales to China were implemented in April and are expected to result in billions in losses for the company. In May, Huang said chip restrictions had already cut Nvidia’s China market share nearly in half.
Last week, the Nvidia CEO met with U.S. President Donald Trump, and was warned by U.S. lawmakers not to meet with companies connected to China’s military or intelligence bodies, or entities named on America’s restricted export list.
According to Daniel Newman, CEO of tech advisory firm The Futurum Group, Huang’s CNN interview exemplifies how Huang has been threading a needle between Washington and Beijing as it tries to maintain maximum market access.
“He needs to walk a proverbial tightrope to make sure that he doesn’t rattle the Trump administration,” Newman said, adding that he also wants to be in a position for China to invest in Nvidia technology if and when the policy provides a better climate to do so.
But that’s not to say that his downplaying of Washington’s concerns is valid, according to Newman. “I think it’s hard to completely accept the idea that China couldn’t use Nvidia’s most advanced technologies for military use.”
He added that he would expect Nvidia’s technology to be at the core of any country’s AI training, including for use in the development of advanced weaponry.
A U.S. official told Reuters last month that China’s large language model startup DeepSeek — which says it used Nvidia chips to train its models — was supporting China’s military and intelligence operations.
On Sunday, Huang acknowledged there were concerns about DeepSeek’s open-source R1 reasoning model being trained in China but said that there was no evidence that it presents dangers for that reason alone.
Huang complimented the R1 reasoning model, calling it “revolutionary,” and said its open-source nature has empowered startup companies, new industries, and countries to be able to engage in AI.
“The fact of the matter is, [China and the U.S.] are competitors, but we are highly interdependent, and to the extent that we can compete and both aspire to win, it is fine to respect our competitors,” he concluded.
Marek Antoni Iwanczuk | Sopa Images | Lightrocket | Getty Images
Google on Friday made the latest a splash in the AI talent wars, announcing an agreement to bring in Varun Mohan, co-founder and CEO of artificial intelligence coding startup Windsurf.
As part of the deal, Google will also hire other senior Windsurf research and development employees. Google is not investing in Windsurf, but the search giant will take a nonexclusive license to certain Windsurf technology, according to a person familiar with the matter. Windsurf remains free to license its technology to others.
“We’re excited to welcome some top AI coding talent from Windsurf’s team to Google DeepMind to advance our work in agentic coding,” a Google spokesperson wrote in an email. “We’re excited to continue bringing the benefits of Gemini to software developers everywhere.”
The deal between Google and Windsurf comes after the AI coding startup had been in talks with OpenAI for a $3 billion acquisition deal, CNBC reported in April. OpenAI did not immediately respond to a request for comment.
The move ratchets up the talent war in AI particularly among prominent companies. Meta has made lucrative job offers to several employees at OpenAI in recent weeks. Most notably, the Facebook parent added Scale AI founder Alexandr Wang to lead its AI strategy as part of a $14.3 billion investment into his startup.
Douglas Chen, another Windsurf co-founder, will be among those joining Google in the deal, Jeff Wang, the startup’s new interim CEO and its head of business for the past two years, wrote in a post on X.
“Most of Windsurf’s world-class team will continue to build the Windsurf product with the goal of maximizing its impact in the enterprise,” Wang wrote.
Windsurf has become more popular this year as an option for so-called vibe coding, which is the process of using new age AI tools to write code. Developers and non-developers have embraced the concept, leading to more revenue for Windsurf and competitors, such as Cursor, which OpenAI also looked at buying. All the interest has led investors to assign higher valuations to the startups.
This isn’t the first time Google has hired select people out of a startup. It did the same with Character.AI last summer. Amazon and Microsoft have also absorbed AI talent in this fashion, with the Adept and Inflection deals, respectively.
Microsoft is pushing an agent mode in its Visual Studio Code editor for vibe coding. In April, Microsoft CEO Satya Nadella said AI is composing as much of 30% of his company’s code.
The Verge reported the Google-Windsurf deal earlier on Friday.
Jensen Huang, CEO of Nvidia, holds a motherboard as he speaks during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, on June 11, 2025.
The sale, which totals 225,000 shares, comes as part of Huang’s previously adopted plan in March to unload up to 6 million shares of Nvidia through the end of the year. He sold his first batch of stock from the agreement in June, equaling about $15 million.
Last year, the tech executive sold about $700 million worth of shares as part of a prearranged plan. Nvidia stock climbed about 1% Friday.
Huang’s net worth has skyrocketed as investors bet on Nvidia’s AI dominance and graphics processing units powering large language models.
The 62-year-old’s wealth has grown by more than a quarter, or about $29 billion, since the start of 2025 alone, based on Bloomberg’s Billionaires Index. His net worth last stood at $143 billion in the index, putting him neck-and-neck with Berkshire Hathaway‘s Warren Buffett at $144 billion.
Shortly after the market opened Friday, Fortune‘s analysis of net worth had Huang ahead of Buffett, with the Nvidia CEO at $143.7 billion and the Oracle of Omaha at $142.1 billion.
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The company has also achieved its own notable milestones this year, as it prospers off the AI boom.
On Wednesday, the Santa Clara, California-based chipmaker became the first company to top a $4 trillion market capitalization, beating out both Microsoft and Apple. The chipmaker closed above that milestone Thursday as CNBC reported that the technology titan met with President Donald Trump.
Brooke Seawell, venture partner at New Enterprise Associates, sold about $24 million worth of Nvidia shares, according to an SEC filing. Seawell has been on the company’s board since 1997, according to the company.
Huang still holds more than 858 million shares of Nvidia, both directly and indirectly, in different partnerships and trusts.