News
Tesla coverage turns negative a week before crucial Earnings Call
Tesla news coverage this week has been especially negative, and the timing of it, which comes a week before arguably the most anticipated Earnings Call in recent memory. With Tesla reporting production and deliveries that were well over Wall Street’s consensus, anticipation for the Q1 2021 Earnings Call is slightly higher than usual, and the FUD (Fear, Uncertainty, Doubt) is at an all-time high.
There are always a few negative Tesla stories every week. It might involve a story about some owners who didn’t receive adequate customer service, it might be about a production bottleneck that Tesla is encountering. However, these are relatively micro-scale issues that are resolved within a matter of days in most cases. This week, the news has been geared toward more disruptive, long-term, macro-level issues, like a very public car accident that has both sides of the Tesla circle butting heads, a test from a very well-known product review company that has to do with the aforementioned accident, and other safety issues that have resulted by a rumored irresponsible driving speed by a customer in China. Whether you agree with it or not, there seems to be a more coordinated attack on something that Tesla does well, which is to keep its drivers and owners safe. One of the strongest points of Tesla’s overwhelmingly successful venture into the automotive industry thus far was the company’s ability to keep vehicle occupants safe in the event of a crash, and also roll out software and semi-autonomous driving functionalities that aim to improve consumer safety in revolutionary ways.
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This doesn’t always turn out to be what the media wants to report, however. The week before the Q1 Earnings Call, it was relatively impossible to notice that the tide turned negative on Tesla news coverage. While it is understandable that a violent automobile crash that took the lives of two men should be covered, it captured national headlines and dominated news coverage across the world for several days. Interestingly, I don’t remember such widespread news coverage for the Ford Death Wobble.
Journalists find stories and then build upon them for other sorts of coverage. It’s spin-off coverage where readers get to see how creative the mind of a writer is. There are millions of stories that could be written based on the recent automobile accident. However, a majority of them were negative, and it doesn’t necessarily come down to truth, it comes down to perception. Unfortunately, I don’t believe that many of the journalistic coverages were completely accurate simply because of Autopilot’s misunderstood capabilities in the real world. I still receive questions and comments daily from those who I talk to who believe Teslas are capable of driving themselves. What is even more frustrating is that, at times, owners and drivers, who should have the company’s best interest at heart, spread content, Tik Toks, and other forms of social media portraying that their all-electric car can drive them from Point A to Point B while they sit in the back seat and take a nap. This kind of content is irresponsible, immoral, and wrong. Acting like a Tesla can drive itself completely just for few thousand views is a selfish act that puts the hard work of Tesla engineers at risk for losing all of their work.
That brings me to the unfortunate accident in Texas. We don’t know, yet, what the exact cause of the accident was. We don’t know who was in the driver’s seat, if AP was being tricked, or if it was even on at this point. Most evidence would likely indicate that AP couldn’t have been activated due to the lack of road lines, and the rate of travel isn’t something that AP would let the driver do, to begin with. Eventually, we will have all the facts of this story, and we will be able to accurately say who or what was responsible. But as of right now, those things cannot be speculated against.
Still, news sources are claiming that this car was “driverless,” which is a complete nonsensical narrative considering there are many boundaries that would require a driver to be present during the vehicle’s operation. This didn’t stop Consumer Reports from putting together one of the most ridiculously biased tests I have ever come across. I felt that it simply proved Tesla Autopilot would only be tricked in extreme circumstances, by not following the automaker’s directions and trying to outsmart one of the most capable semi-autonomous driving programs in the world.
The obvious effort to derail Tesla’s momentum is being noted by the fans, followers, and owners of the company. For the life of me, I cannot understand why. In my perspective, for years, MSM has been driving home the point of global climate change, using it as a way to scare people into change. While I believe that fear isn’t always the best way to convince a large group of people to do something, I think climate change is a real issue and it will affect people for generations to come. With cars being such a large contributor to the problem, you’d think the media, the same interests that have been preaching the dangers of carbon emissions for years, would report car companies who are working to transition the automotive industry to electrification, would get a “fair shake.” This just hasn’t been the case.
Trust me, I am a critic of Tesla when it is warranted. I have experienced issues with their customer service department personally, and I have been highly critical of their handling of other issues with its vehicles. I have spoken many times about the LR RWD Model Y and how it was a disgrace for Tesla to keep these pre-orderers in limbo for years. However, there are statistics that prove FSD and AP’s ultimate task: to make driving safer. Most recently, the Q1 2021 Safety Report showed Autopilot was nearly 10 times safer than a human driver. You don’t see mainstream media covering this, but you’ll notice automotive blogs and news outlets taking full advantage of the statistics, which prove Tesla’s mission is becoming more real with every mile driven.
With the momentum Tesla posted with the Production and Deliveries report, I think many people were expecting a big financial quarter. The timing of the negative news is eye-opening, and it seems to be a coordinated effort to perhaps slow down Tesla’s momentum moving forward. Tesla is gunning for yet another consecutive quarter, bringing the total to seven straight if things go well on Monday. Whether Wall Street will recognize the impressive tone of this feat, we’ll see. However, media coverage has done all it can to bring Tesla’s chances of a great quarter down, but with developments, demand, and deliveries all in healthy figures, there doesn’t seem to be much of a chance of that happening.
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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
