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.”
I’d like to hear from you. Contact me at maria@teslarati.com or via Twitter @Writer_01001101.
News
Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
