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The DFEH’s case against Tesla has been filed, and its allegations are very, very serious
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.
“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.”
“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.”
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
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
