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Tesla Giga Berlin employees bid farewell to ‘Mister Gigafactory’
Tesla employees that are working at the company’s Giga Berlin project in Germany are bidding farewell to Evan Horetsky, the company’s manager for the site.
Tesla reportedly relieved Giga Berlin Horetsky from his position on Thursday. The reasons for his dismissal are currently unknown.
However, last week, Tesla’s Global Supply Manager of Construction, Michaela Schmitz, was already saying her goodbyes to Horetsky. “it was my honor to work for and with you. We will finish it for you, Giga Meister. Take care!!” she said on one of Horetsky’s LinkedIn posts.

According to Rbb24, a German media site, people close to the Giga Berlin project stated that Horetsky was relieved of his duties. Some are speculating it is because of the water bill fiasco that took place last week.
However, Schmitz’s post was published on Horetsky’s LinkedIn before the water bill issue took place. This indicates that Horetsky may have been let go before the water was shut off at the construction site, and could be an indication of why the bill wasn’t paid.
Teslarati reported the rumors of a water shutoff at the Giga Berlin site. However, the water was still seen running normally, and the project never halted, local sources said.
I was at the GIGABERLIN at 17:00 pm
and could see that the cement mixing plant was still working and cement transporters were cleaned, WITH WATER.
it looks like the water is running.!!!! pic.twitter.com/LYLdHZ9g0Z— Gigafactory Berlin News (@Gf4Tesla) October 15, 2020
However, the report from Rbb24 says that the Strausberg Erkner water association did have a past due amount that went unpaid. Tesla paid the balance, and the water service was reactivated shortly after.
The site reported:
“Last week, the Strausberg Erkner Tesla water association had temporarily shut off the construction water because a payment deadline had expired. After the money was received, the water ran again.”
While the water bill was quickly taken care of because there appeared to be no interruption in Giga Berlin’s construction, the project manager’s responsibility would likely be to ensure that no possibility of interruptions could occur. This starts with the routine paying of bills that keep the site operating as usual.
If Horetsky was let go on early last week, there may have been nobody to handle paying the bill, which could be the reason as to why the water was shut off at the site temporarily.
Interestingly, Horetsky has supervised other Tesla projects, including the completion of Tesla Gigafactory 1 in Sparks, Nevada, and the initial construction phases of Giga Shanghai in China. Horetsky also oversaw the Fremont plant’s preparations for vehicle production. It is possible that Horesky could be assisting with other Tesla projects, as Giga Texas is also in its construction stages.
During Tesla’s Q3 Earnings Call on Wednesday, October 21st, the company outlined the timeline for Giga Berlin’s first phases of production, which are expected to begin in Summer 2021.
The company said in its Update Letter:
“Construction of the Gigafactory in Berlin continues to progress rapidly. Buildings are under construction, and equipment move-in will start over the coming weeks. At the same time, the Giga Berlin team continues to grow. Production is expected to start in 2021.”
According to Tesla’s Senior VP of Powertrain and Energy Engineering Drew Baglino, Giga Berlin’s initial ramp will require assistance from its pilot 4680 battery cell production line in Fremont.
Tesla’s pilot 4680 battery cell line in CA will support Giga Berlin’s initial ramp
“We will incorporate 4680 design solutions into many applications in time across both energy and vehicle, and we can use our pilot production facility in Fremont to support the new factory in Berlin as it ramps,” Baglino said.
Tesla will introduce the Model Y to Giga Berlin’s production lines initially but plans to manufacture other vehicles at the German plant in the future.
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.