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Tesla’s Model 3 delivery challenges in Europe are growing pains for a global ramp
The arrival of the cargo ship Glovis Captain on the port of Zeebrugge earlier this week heralded new opportunities and challenges for electric car maker Tesla. The massive vessel is estimated to be carrying around 3,000 Model 3, which are expected to start an electric disruption in Europe’s passenger car market. At the same time, the arrival of the highly-anticipated sedan also means that deliveries to reservation holders in the region are about to begin.
Delivery Logistics Hell, Part 2
In true Tesla fashion, plans were underway to get the recently-arrived Model 3 to customers as quickly as possible. Thus, instead of taking a while before starting handovers to reservation holders in the region, Tesla immediately went to work. Reports from the Tesla community even indicated that they received messages from the carmaker indicating that they could pick up their Model 3 starting Wednesday at the company’s Tilburg facility, shortly after the cars arrived on Zeebrugge.
Soon, social media posts from the Tesla community revealed that the first Model 3 deliveries in Europe were already underway. That said, it did not take long before Tesla became unable to deliver as many vehicles as they estimated. Some reservation holders even went so far as to state that they were advised to pick up their Model 3 the following day. While an additional day is but a drop in the bucket compared to the nearly three-year wait for the electric sedan experienced by reservation holders, Tesla’s inability to deliver as many vehicles as it expected became a great inconvenience nonetheless.
On Wednesday, Elon Musk took to Twitter to apologize for the delivery delay in Europe. In a tweet, Musk explained that Tesla met some “unexpected challenges” with the vehicles coming through the Belgian port. Nevertheless, Musk noted that Model 3 deliveries should start moving on Thursday.
Sorry, many unexpected challenges with cars coming through Zeebrugge first time. Cars will start moving out in volume tomorrow.
— Elon Musk (@elonmusk) February 6, 2019
Logistics Challenges – Not Sweeter the Second Time
Ultimately, this is yet another case of Tesla miscalculating and shooting itself in the foot in the process. In the case of Europe’s first Model 3 deliveries, reservation holders were expecting their vehicles at a later date to begin with (the reservation holder Musk responded to on Twitter, for example, had a delivery date of 02/16/2019). The earlier delivery estimates, and the succeeding failure to meet said estimates, all transpired under Tesla’s own doing.
That said, Tesla’s journey with the Model 3 to date hints at something positive following the company’s logistics challenges in Europe, considering that the electric car maker faced the same issues in the US last September. During that time, Tesla was just hitting its stride with the production of the electric sedan. Tesla was also going for profitability, which required a record number of vehicle deliveries. Tesla’s deliveries became so backlogged that reservation holders saw their handover dates rescheduled multiple times.
Thanks to @LucWaterlot, some pictures of #glovisCaptain arriving full of #tesla #Model3 in #portofzeebrugge pic.twitter.com/rVxWBkWHNU
— FalconU (@UlricDabe) February 5, 2019
Just like Elon Musk’s recent tweet, the Tesla CEO owned up to Tesla’s challenges then, explaining that the company had gone straight from “production hell” to “delivery logistics hell.” Musk also mentioned later that challenges in logistics are easier to solve than production issues. True to the CEO’s word, Tesla delivered a record number of vehicles in the third quarter, with Q3 2018 handovers totaling 83,500 vehicles including 55,840 Model 3. Ultimately, these deliveries helped the company achieve its first definitively profitable quarter in years. These logistics challenges were completely absent in Q4 2018 as well, when Tesla delivered a total of 90,700 vehicles, including 63,150 Model 3.
Lessons Learned and Experiences Gained
With this in mind, it appears that Tesla’s current challenges in delivering the Model 3 to European customers are something that the company can handle. Tesla’s experience in the United States alone should help the electric car maker gain enough footing to conduct handovers in the region in a manner that is smooth, convenient, and well worth the nearly three-year wait for Model 3 reservation holders.
While Tesla appears to have miscalculated its initial European Model 3 deliveries, the company is in a constant effort to improve its logistics. Elon Musk took particular notice of this issue in the recently held Q4 2018 earnings call, when he was discussing the probability of Q1 2019’s profitability.
“We’re going to get cars to China and Europe and make sure that we have good logistics for the whole delivery process, from factory gate to the customer. That’s obviously pretty far from California to get to Europe and China and make it to, again, our two customers. So, we’re working every aspect of that logistics chain. And I think we’ve — I think it’s going to be good. I would say at this point; I’m optimistic about being profitable in Q1. Not by a lot, but I’m optimistic about being profitable in Q1 and for all quarters going forward,” Musk said.
For the meantime, the beast that is the Tesla Model 3 is still waiting for its chance to fully saturate the European market.
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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.
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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.
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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
