News
Tesla is willing to help other automakers, but ask nicely
Earlier this week, I wrote an article talking about the German car companies and their obsession with mentioning Tesla. Volkswagen, Audi, and BMW are all gunning for Tesla in terms of electric vehicle technology and manufacturing. While the three German giants admit that Tesla holds a multi-year lead in the EV sector, they all believe they can catch up to Elon Musk and the rest of the crew.
After publishing the article, Elon responded and said that Tesla was willing to help companies transition to sustainable forms of transportation because it would help the world as a whole. However, there is evidence to suggest that Tesla and Elon are going to help those who ask for it, not those who attempt to take information in a manner that could be considered “sneaky.”
Tesla is open to licensing software and supplying powertrains & batteries. We’re just trying to accelerate sustainable energy, not crush competitors!
— Elon Musk (@elonmusk) July 29, 2020
Additionally, one of Musk’s followers had asked if Tesla’s Autopilot could be shared with other automakers in an attempt to not only accelerate the charge towards semi and fully-autonomous driving. Musk simply replied, “Sure,” indicating that there did not seem to be any boundaries in terms of what Tesla would be willing to share with its “competitors” as capitalism would refer to them as.
Sure
— Elon Musk (@elonmusk) July 29, 2020
To me, I found that simple “Sure” reply as one of the most interesting Tweets of Musk’s illustrious Twitter career. Not only has the CEO provided many of my friends and me with a fair share of laughs and me because of his great sense of humor, but his digs at other companies, as well as some of the more ironic things that he has said, have always intrigued me.
When he said, “Sure,” all I thought of was the lawsuit that Tesla currently holds against an Xpeng engineer who formerly worked for Tesla.
For those of you that are not familiar, Tesla sued Xpeng engineer Cao Guangzhi earlier this year, who used to work for Tesla.
Guangzhi allegedly stole pieces of Tesla’s Autopilot source code and attempted to sell it to Xpeng for financial gain. Guangzhi had downloaded portions of the code to his personal laptop and then shared it through Apple Airdrop, which is hard to track because of the encryption that Apple uses. However, he ensures that he removed it from his personal laptop before leaving Tesla to join Xpeng.
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The case is still ongoing.
But what I found most interesting about Musk’s simple one-word answer was the fact that he stated he would be willing to share Autopilot’s developments with other automakers. But it seems it needs to be done in good and harmless fashion, and not in a sneaky way. This is entirely understandable, in my opinion.
If Guangzhi did what Tesla is accusing him of doing, it would be seriously sneaky and flawed. Tesla is the leader in semi-autonomous driving thanks to the developments of its Artificial Intelligence team, led by Andrej Karpathy. What separates Tesla from every other company in self-driving is the fact that it is continuously improving thanks to the company’s Neural Network. As information is communicated to the Neural Network with every Tesla vehicle on the road, the company’s self-driving software becomes more sophisticated and more accurate as it can predict the next movements of the drivers around a car.
If this source code were to be leaked or given to another company, it could be detrimental to Tesla’s lead in the self-driving universe. I’m excited to see how the case plays out.
More recently, Tesla sued Rivian for poaching former employees and stealing trade secrets. Interestingly enough, I had some time to read over several pages of the complaint from Tesla to Rivian, and some employees openly admitted to taking confidential documents when they left Tesla.
I am a big Rivian fan. I think R.J. Scaringe, the company’s CEO, is a brilliant person who has a lot of potential to do amazing things. I have recommended to a couple of my friends that they should invest in an R1T instead of getting a Cybertruck because they don’t like the Tesla pickup’s design. But either way, it seems from my understanding of legal documentation, it is going to be up to Tesla to prove that Rivian asked these employees to take things and that they are openly going after past Tesla employees. I think that is going to be a tough cookie to crack.
But either way, Rivian didn’t go to Tesla for help directly. I feel that if they needed help with electrification or self-driving code, they should have reached out to Elon directly.
Elon has stated for years that the biggest enemy of Tesla is not competitors who are developing sustainable electric vehicles. The companies that are the biggest threat to Tesla are the biggest threat to us all, which are the ones who refuse to adapt to the sustainable transportation revolution. Companies that want to develop and improve internal combustion engine machines are a threat. Not financially, but environmentally, because they’re ignoring the apparent crisis that is going on in the world.
Does it seem like Elon wouldn’t be willing to help other automakers develop their vehicles if they asked for help? I don’t think so. Personally, when I look at Musk’s mission, I see a man who is interested in collaborating with anyone and everyone, as long as they are willing to admit that their push toward sustainability is the focus and not on the backburner.
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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
