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Tesla's battery acquisitions are paying off in spades, and giving rivals a lot of pain

(Credit: Tesla)

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There was a time, not too long ago, when Tesla skeptics questioned the company’s focus in designing and producing its own batteries with a dedicated partner like Panasonic and a facility like Gigafactory 1 in Nevada. Batteries, after all, are available off-the-shelf from companies like LG Chem, and it seemed pretty futile for Tesla to insist that it needs its own battery supply for its future business. 

Fast forward to 2020, and Tesla’s extreme focus on battery development is paying off in spades. Over the years, Tesla has acquired multiple companies that have, in some way, enabled the company to accelerate or improve its products’ batteries. Included among these are Grohmann Automation, whose machines are the bread and butter in Gigafactory 1, Maxwell Technologies, and more recently, HIBAR systems

At this point, Tesla’s batteries have pretty much become the gold standard for EVs, and the company appears to be well on its way towards releasing vehicles that have a range of 400 miles or more. The Plaid Model S and X will likely be the first of these, as well as the next-gen Roadster, which will have 620 miles of range. Even the reasonably-priced Cybertruck tops out at over 500 miles of range per charge. Massive battery developments are needed to achieve these, and Tesla seems to have done it, or at least is well on its way. 

This does not appear to be true for other OEMs attempting to enter the electric vehicle market. As veteran companies unveiled their EVs, and as none have really managed to hold a candle to Tesla’s flagship Model S in terms of range, it is becoming evident that the electric car maker’s investments in batteries may have actually been the right strategy all along. Daimler, for one, seems to be feeling this inconvenient truth, with works council chief Michael Brecht explaining during a recent interview with Manager Magazin that Tesla’s battery-related acquisitions are actually having an effect on Germany’s EV efforts. 

Daimler launched its first EV, the Mercedes-Benz EQC, in 2018, and it has not really lived up to the hype. Despite being dubbed at some point as a potential “Tesla Killer” due to its pedigree and excellent German build quality, the all-electric SUV has faced battery shortages and low sales. Registrations in Germany for the vehicle only show about 55 units sold to date despite all the ad campaigns dedicated to the SUV. Battery supply shortages have also forced Daimler to cut the annual production target of the EQC by 50% from 60,000 to just 30,000.

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Quite interestingly, Brecht partly blames Tesla for some of the challenges facing the EQC today. Explaining his points to the publication, he argued that one of the reasons Daimler is struggling with battery demand is because Tesla bought Grohmann Engineering, which has valuable technology that could be used for battery-related developments and activities. Brecht also mentioned that Grohmann was actually hired by Mercedes-Benz to build up its own battery manufacturing capacity. 

Brecht’s statements are notable since it is quite rare to see a veteran car manufacturer actually point the finger at Tesla to explain the dire condition of its own EV program. One can only hope that perhaps, the EQC would be a lesson that Daimler could learn from. After all, Daimler, among German automakers, would likely have no issues tapping into Tesla’s established technologies, batteries and powertrains alike, as the two companies have already worked together in the past. Elon Musk has stated that eventually, Tesla may be open to selling its batteries and powertrains with other OEMs. If this were to happen, it would be wise for Daimler to wait right in front of the line to avoid another EQC-sized flop.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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Credit: xAI

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.

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“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.

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Credit: Grok Imagine

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:

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  • 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.
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Tesla is not sparing any expense in ensuring the Cybercab is safe

Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.

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Credit: @JoeTegtmeyer/X

The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility. 

Intensive crash tests

As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays. 

Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads. 

Prioritizing safety

With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.

Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.

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