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The DFEH’s case against Tesla has been filed, and its allegations are very, very serious

The Fremont factory. (Credit: Tesla)

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Just a few days ago, Tesla noted in a blog post that the California Department of Fair Employment and Housing (DFEH) is intending to file a lawsuit against the company over alleged systemic racial discrimination and harassment in the its CA facilities. The DFEH’s lawsuit has now been filed, and just as Tesla’s blog post suggested, its accusations are indeed very, very serious. 

The lawsuit, which was electronically filed to the Superior Court of California, County of Alameda on February 9, 2022, pointed out that Tesla is currently the “largest and highest-profile” electric car company in the world. The suit also highlighted that “Tesla’s Fremont factory is the only nonunion major American automotive plant in the country.” And while a job at Tesla is typically seen as a “golden ticket” for those without a technical background or college degree to secure a job in tech and a path to a career and a living wage, there is segregation and a systemic racism issue prevalent in the company’s CA facilities. 

The Department of Fair Employment and Housing alleges that this segregation, as well as the absence of Black and/or African Americans in leadership roles, has resulted in rampant racism being left unchecked for years. 

“As early as 2012, Black and/or African American Tesla workers have complained that Tesla production leads, supervisors, and managers constantly use the n-word and other racial slurs to refer to Black workers. They have complained that swastikas, “KKK,” the n-word, and other racist writing are etched onto walls of restrooms, restroom stalls, lunch tables, and even factory machinery. They have complained that Black and/or African American workers are assigned to more physically demanding posts and the lowest-level contract roles, paid less, and more often terminated from employment than other workers. 

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“They have also complained that Black and/or African American workers are often denied advancement opportunities, and more often and more severely disciplined than non-Black workers. More significantly, these numerous complaints by Black and/or African American workers about racial harassment, racial discrimination, and retaliation lodged over a span of almost a decade have been futile. For example, Defendants turned, and continue to turn, a blind eye to years of complaints from Black workers who protest the commonplace use of racial slurs on the assembly line. Tesla was, and continues to be, slow to clean up racist graffiti with swastikas and other hate symbols scrawled in common areas.” 

Details of the allegations against Tesla were quite shocking, as they include instances that, for all intents and purposes, should have resulted in a quick termination against the perpetrators. This is something that Tesla has reportedly done in the past, as outlined by the company in its response to a $137 million jury verdict, which came as a result of a lawsuit filed by ex-employee Owen Diaz, who accused the company of racial abuse during his tenure around 2015 through 2016. According to Tesla, two contractors behind Diaz’s racial abuse were promptly terminated, while another was suspended following an internal investigation. 

Following are some of the detailed allegations outlined by the DFEH against Tesla. 

“Throughout the day, every day, Black and/or African American workers heard Defendants’ workers, leads, supervisors, and managers make racial slurs and comments about Black workers.27 Examples of the racist language include the n-word, “porch monkey,” “monkey toes,” “boy,” “hood rats,” and “horse hair.” Defendants’ workers, including production leads and supervisors, made references to Black and/or African Americans in racist comments and racist jokes such as “N[ ] word out of the hood,” “from the ghetto,” “Tesla [was] hiring lazy coons,” and “go back to Africa.”

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“Because the factory was racially segregated, Defendants’ workers referred to the areas where many Black and/or African Americans worked as the ‘porch monkey station.’ Defendants’ workers with tattoos of the Confederate flag made their racially incendiary tattoos visible to intimidate Black and/or African American workers. Racial slurs were also dispensed in Spanish and included ‘mayate’ and ‘negrita.’ Additionally, Defendants’ workers referred to the Tesla factory as the ‘slaveship’ or ‘the plantation,’ where Defendants’ production leads ‘crack[ed] the whip.’ Many Black and/or African American workers understood these terms to be references to how Defendants treated its Black and/or African American workers. One Black worker heard these racial slurs as often as 50-100 times a day.

“These Black and/or African American workers also had racial slurs directed at them. These workers were subjected to Defendants’ production associates, leads, and supervisors directly calling them the n-word throughout the day. One worker heard Defendants’ production associates and leads tell her to ‘Shut the fuck up, N[ ],’ and ‘All blacks look alike.’ Another Black worker reported that at least twice Defendants’ workers mocked him for eating watermelon during lunch. They accused him of being lazy, saying, ‘You’re eating watermelon, that’s why you’re lazy.’ These co-workers also speculated about his genitals and referred to him as ‘Mandingo’ or ‘big black guy.’ Another worker heard Defendants’ production lead and production associate crack racist jokes loud enough for others to hear. When he raised the jokes with them, the production associate slapped his shoulder and said it was just a joke. When another Black worker protested to being called a racial slur and asked Defendants’ production associates, leads, and supervisor to refer to him by his name, they retorted, ‘This N[ ] is crazy’ or ‘This N[ ] is tripping.’ They called him a snitch for complaining. 

“Notably, Defendants’ leads, supervisors, and managers were active participants and/or witnesses to these racist comments. Black and/or African American workers reported that Defendants’ leads and supervisors on the production line often said, ‘That stupid N[ ] over there’ or ‘That fucking N[ ], I can’t stand them.’ Regarding a group of Black production associates, Defendants’ supervisor said that “there [was] too many of them in there. They are not Tesla material.” Defendants’ supervisors complained about where Black and/or African American workers were assigned, saying, ‘Monkeys work outside,’ and ‘Monkeys need a coat in cold weather.’ A supervisor pointedly asked one African American worker, ‘Do most Africans have bones through their noses?’ Another African American worker reported that a group of Defendants’ production leads often laughed at her whenever she walked by them. These leads muttered’ N[ ]’ or ‘Shut up, N[ ]’ to her at first. When she started getting awards for her work performance, these leads openly called her these racial slurs. 

“On a daily basis, Black and/or African American workers were confronted with racist writing while working at Tesla. They saw racist graffiti – including’ N[ ],’ ‘KKK,’ swastikas, the Confederate flag, a white supremist skull, ‘go back to Africa,’ and ‘mayate’ – written on the restroom walls, restroom stalls, lockers, workplace benches, workstations, lunch tables, and the break room. These slurs were even etched onto Defendants’ machinery. One Black worker observed ‘hang N[ ]’ penned next to a drawing of a noose in the breakroom restroom. This worker also saw ‘all monkeys work outside’ and ‘fuck N[ ]’ on the breakroom walls. These racial slurs and racial comments, apparent to all who walked by, were left up for months, without Defendants bothering to remove them.” 

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As noted by Tesla in its recent blog post, it would be asking the court to pause the DFEH’s case to ensure that facts and evidence will be heard. The EV maker also noted that despite repeated requests, the DFEH has declined to provide Tesla with specific allegations or the factual basis for its lawsuit. Tesla did note, however, that over the past five years, the DFEH has been asked on almost 50 occasions by individuals who believed that they were discriminated against or harassed to investigate the company. But on every single occasion, the DFEH did not find any misconduct against Tesla. 

Teslarati has sent an inquiry to the California DFEH about its case against Tesla, and why it waited years to file a case against the EV maker considering the gravity of the suit’s accusations. The DFEH’s response would likely be covered in a separate article that would be written in the near future. 

The DFEH’s lawsuit against Tesla can be viewed below. 

DFEH vs Tesla by Simon Alvarez on Scribd

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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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Tesla Cybercab gets crazy change as mass production begins

Tesla has officially kicked off mass production of its groundbreaking Cybercab robotaxi at Giga Texas, and the first units rolling off the line feature a striking transformation that’s turning heads across the EV community.

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Credit: TechOperator | X

Tesla Cybercab has evidently received a pretty crazy change from an aesthetic standpoint, as the company has made the decision to offer an additional finish on the vehicle as mass production is starting.

Tesla has officially kicked off mass production of its groundbreaking Cybercab robotaxi at Giga Texas, and the first units rolling off the line feature a striking transformation that’s turning heads across the EV community.

VIN Zero—the very first production Cybercab—showcases a vibrant champagne gold exterior with a high-gloss finish, a dramatic departure from the flat, matte-wrapped prototypes that debuted at the 2024 “We, Robot” event.

This glossy sheen is a pretty big pivot from what was initially shown by Tesla. The company has maintained a pretty flat tone in terms of anything related to custom colors or finishes.

A specialized clear coat or process delivers the deep, reflective gloss without conventional painting. The result is a premium, mirror-like shine, and it looks pretty good, and gives the compact two-seater a more luxurious and futuristic presence than the subdued matte prototypes.

Photos shared by Tesla community members reveal VIN Zero in a showroom-like setting at Giga Texas, highlighting refined panel gaps, large aero wheel covers, and the signature no-steering-wheel, no-pedals interior optimized for full autonomy.

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The open frunk in some images offers a glimpse of practical storage, while the overall build quality appears more polished than that of test mules.

This glossy evolution aligns with Tesla’s broader production ramp. After the first unit in February 2026, the company has shifted to volume manufacturing, with dozens of units already spotted in outbound lots. CEO Elon Musk and the team aim for hundreds per week, paving the way for unsupervised FSD robotaxi networks that could slash ride costs to pennies per mile.

The Cybercab holds Tesla’s grand ambitions of operating a full-service ride-hailing service without any drivers in its grasp. Tesla has yet to solve autonomy, but is well on its way, and although its timelines are usually a bit off, improvements often come through the Over-the-Air updates to the Full Self-Driving suite.

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Tesla confirms Cybercab with no steering wheel enters production

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Tesla has confirmed today that its steering wheel-less and pedal-less Cybercab, the vehicle geared toward launching the company’s autonomous ride-hailing hopes, has officially entered production at its Giga Texas production facility outside of Austin.

The Cybercab is a sleek two-door, two-passenger coupe engineered from the ground up as an electric self-driving vehicle. It features no steering wheel or pedals, relying instead on Tesla’s advanced vision-only Full Self-Driving system powered by multiple cameras and artificial intelligence.

The minimalist cabin centers on a large display screen that serves as the primary interface for passengers, creating an open, futuristic space optimized for comfort during unsupervised rides. A compact 35-kilowatt-hour battery pack delivers exceptional efficiency at 5.5 miles per kilowatt-hour, providing an estimated 200-mile range.

Additional innovations include inductive charging compatibility and a lightweight design that enhances aerodynamics and performance.

Production at Giga Texas builds on earlier prototypes and initial units completed earlier in 2026. The facility, already a hub for Model Y and Cybertruck assembly, now ramps up dedicated lines for the Cybercab.

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This shift to volume manufacturing reflects Tesla’s strategy to scale affordable autonomous vehicles rapidly.

By focusing on a dedicated platform rather than adapting existing models, the company aims to keep costs low while prioritizing safety and reliability through continuous AI improvements.

The Cybercab’s debut in production carries broad implications for urban mobility. As the cornerstone of Tesla’s Robotaxi network, it promises on-demand, driverless rides that could slash transportation expenses, reduce traffic accidents caused by human error, and lower emissions through its all-electric powertrain.

Accessibility features, such as space for service animals or assistive devices, further broaden its appeal. Regulators and cities worldwide will soon evaluate its deployment, but the vehicle’s design already addresses key hurdles in scaling unsupervised autonomy.

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Challenges persist, including full regulatory clearance and building charging infrastructure. Yet this production launch signals momentum. With Cybercabs poised to roll out in increasing numbers, Tesla edges closer to a future where personal ownership meets shared fleets of intelligent vehicles.

The start of Cybercab production is more than just a new vehicle entering mass manufacturing for Tesla, as it’s a signal autonomy is near. Being developed without manual controls is such a massive sign by Tesla that it trusts its progress on Full Self-Driving.

While the development of that suite continues, Tesla is making a clear cut statement that it is prepared to get its fully autonomous vehicle out in public roads as it prepares to revolutionize passenger travel once and for all.

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Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

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(Photo: Hector Perez/YouTube)

Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.

Tesla Assisted Smart Summon (ASS) improvements

There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:

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“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”

As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.

This caused me to sprint across the lot to retrieve the vehicle:

Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.

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It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:

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I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.

It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.

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New Disengagement Categories

This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.

I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.

I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.

I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.

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Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.

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Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.

Inconsistency with Regional Traffic Patterns

Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.

In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.

Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.

This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.

Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.

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“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”

This could be one of those examples that Tesla just has to figure out.

Highway Operation

Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.

However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:

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Better Maneuvering at Stop Signs

Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.

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I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.

This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.

FSD seems to have worked through this particular maneuver:

FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.

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