News
Elon Musk shares insights on jet tracker ban, Twitter’s privacy info policy updates
Twitter officially banned the account of jet tracker Jack Sweeney on Wednesday, together with his other accounts that track notable people such as Elon Musk. Sweeney’s ban has been linked to an incident involving Elon Musk’s Baby X, his youngest son with record producer and musician Grimes. Twitter also updated its privacy information policy.
Jack Sweeney’s POV
Jack Sweeney’s Twitter account @ElonJet tracks the routes of the Tesla CEO’s private jet using air traffic data and posts it to the public via the social media platform. On Wednesday, Sweeney stated that his @ElonJet account, his personal account @JxckSweeney, and his other jet trackers were suspended as well. The University of Central Florida college student noted that he would continue tracking Elon Musk’s plane and sharing the information via alternative social media platforms such as Mastodon.
Before his Twitter accounts were suspended, Sweeney’s Musk jet tracker was reportedly shadowbanned. A shadowban makes it difficult for other Twitter users to find an account.
Elon Musk’s POV
Elon Musk shares some insights on why Sweeney’s jet trackers were banned through Twitter recently.
“Any account doxxing real-time location info of anyone will be suspended, as it is a physical safety violation. This includes posting links to sites with real-time location info. Posting locations someone traveled to on a slightly delayed basis isn’t a safety problem, so is ok.
“Last night, car carrying lil X in LA was followed by crazy stalker (thinking it was me), who later blocked car from moving & climbed onto the hood. Legal action is being taken against Sweeney & organizations who supported harm to my family,” Musk wrote.
Twitter’s Private Information Policy
Amidst news of Sweeney’s jet trackers’ suspensions, Twitter updated its Private Information Policy, prohibiting anyone from sharing another person’s “live” location “in most cases.”
“When someone shares an individual’s live location on Twitter, there is an increased risk of physical harm. Moving forward, we’ll remove Tweets that share this information, and accounts dedicated to sharing someone else’s live location will be suspended,” Twitter explained.
Twitter users can share their own live location. They can also share the location information of other users as long as it is not on the same day. Twitter permits users to share the location of public gatherings, such as concerts or political events—although it did not clarify if “live” locations are permitted for these types of events.
The updated privacy policy also includes private media images or videos of private individuals without their consent. Although, this part of the policy seems to have leeway since Twitter recognizes that “there are instances where users may share images or videos of private individuals, who are not public figures, as part of a newsworthy event.”
The Main Issues
- What is freedom of speech?
- Does freedom of speech have limits?
- What is privacy for public figures?
- Does affiliation with a public figure affect a person’s right to privacy?
Before acquiring Twitter, Elon Musk claimed that he wanted the platform to be a space that promotes freedom of speech. The billionaire used Sweeney’s @ElonJet account to highlight that he was committed to free speech on Twitter. At the time, Musk acknowledged that @ElonJet was a “direct personal safety risk.”
While Musk may have accepted the risk to his own safety by keeping Sweeney’s account live, his family might be a different matter. The same may go for the other people who Sweeney kept tabs on through his Twitter accounts.
However, Musk was not the only one at fault here. Sweeney’s jet tracker supposedly provides the potential locations of public figures. However, it is not always clear-cut. In the Baby X incident, for example, the alleged perpetrator may have thought that the @ElonJet account was making Musk’s potential location public, not his son’s.
The information Sweeney dispenses might be too ambiguous, and may lead to many misunderstandings. For instance, earlier this year, Taylor Swift made headlines after Yard calculated that her flight emissions were 1,184.8 times more than the average person’s. Yard based its calculations on Sweeney’s @CelebJets account. While the figure might seem shocking, a spokesperson for Swift explained that the pop star loans her jet out regularly, so Yard’s findings were argued as “blatantly incorrect.”
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News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
