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Tesla has changed ‘majority-minority’ wording in its latest 10-K filing

Credit: Tesla

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Tesla has removed wording about having a “majority-minority” workforce in its latest 10-K filing, following recent statements from CEO Elon Musk opposing Diversity, Equity and Inclusion (DEI) initiatives—and a history of allegations of racial discrimination at the automaker’s factories.

In Tesla’s 10-K filing released on Monday, the automaker has changed some of the wording alluding to DEI measures at the company, instead adding a few new paragraphs at the end. The omitted wording from the prior year’s annual report, which can be found near the end of the Item 1, Business section of Tesla’s 10-K filing last year, reads as follows:

“With a majority-minority workforce, empowering our employee resource groups to take charge in driving initiatives that attract, develop and retain our passionate workforce is vital to our continued success.”

Both this and last year’s filings include the same opening line for the section:

“At Tesla, our employees show up passionate about making a difference in the world and for each other.”

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However, instead of the “minority-majority” workforce phrasing included in last year’s filing, the 10-K filed this week includes the following language:

“We remain unwavering in our demand that our factories, offices, stores and service centers are places where our employees feel respected and appreciated. Our policies are designed to promote fairness and respect for everyone. We hire, evaluate and promote employees based on their skills and performance. Everyone is expected to be trustworthy, demonstrate excellence in their performance and collaborate with others. With this in mind, we will not tolerate certain behaviors. These include harassment, retaliation, violence, intimidation and discrimination of any kind on the basis of race, color, religion, national origin, gender, sexual orientation, gender identity, gender expression, age, disability or veteran status.”

The filing goes on to mention Tesla’s anti-harassment training and leadership development programs, encouraging employees to speak up about misconduct by contacting the company integrity line, human resources, and managers, or by submitting concerns through the Take Charge process.

You can see Tesla’s full 10-K filing for the fiscal year 2023 here, along with its 10-K released a year ago for the fiscal year 2022 here. Although the “majority-minority” workplace phrasing has been removed from the 10-K filing, Tesla still says this on its website, adding that underrepresented groups represent 67 percent of the company’s U.S. workforce.

Musk and Tesla have also continually emphasized their opposition to racism in the workplace in response to allegations of discrimination over the years. Musk has instead recently made several statements on X calling DEI initiatives racist, even noting in December that he thinks “DEI must DIE.”

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“The point was to end discrimination, not replace it with different discrimination,” Musk added.

Earlier this month, Musk reiterated his opposition to these programs, saying that “DEI is just another word for racism.”

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Musk has also opposed what he terms the “woke mind virus,” which he has criticized several times over the past few years.

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Tesla has also faced multiple court cases alleging racial discrimination in the past, each of which the company and Musk have denied.

One such case included the high-profile trial of former contracted elevator operator Owen Diaz, who was denied his appeal by a judge in October for a third re-trial after being awarded $137 million by a jury in 2021. Diaz had worked at Tesla’s factory in Fremont, California, in 2015, and a second jury last April awarded him a $3.2 million verdict after he rejected a lowered settlement of $15 million from the first trial.

In a lawsuit in California in 2022, the Department of Fair Employment and Housing (DFEH) accused Tesla of operating a “racially segregated” workplace at the Fremont factory, to which the automaker responded by denying the claims and filing a formal complaint against the agency.

Earlier this month, Musk paid a visit to the Auschwitz concentration camp, and to a symposium opposing the rise of anti-semitism organized by the European Jewish Association (EJA), after X faced advertising boycotts and heavy criticism when Musk liked and replied to an anti-semitic post in November.

“I’m sorry for that post. It was foolish of me,” Musk said in an interview following the incident. “Of my 30,000 posts, it might literally be the worst and dumbest post I’ve ever done. I think over time it’ll be obvious that I’m far from anti-semitic.”

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Tesla accused of race-based discrimination, retaliation by former HR manager

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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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.

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Credit: @BLKMDL3/X

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.

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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.

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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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