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Report: Women discuss discrimination, harassment and “predator zone” at Tesla

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At a crowded Fremont Factory meeting, female employees shared stories of sexual harassment, mistreatment by male managers, unfair promotion decisions and more, sources told The Guardian.

One of the women there was AJ Vandermeyden, the female engineer who sued the company for pervasive harassment and pay discrimination. Shortly after this town hall took place, Vandermeyden was fired.

“They just want to absolutely crush anyone who speaks up,” Vandermeyden told the news outlet. “I spoke up, and I was made a sacrificial lamb for it. It’s a scary precedent.”

Tesla has rejected Vandermeyden’s claims, saying she was terminated for “falsely attacking our company in the press.”

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CEO Elon Musk did not attend the meeting of about 70-100 people. More than 20 women talked about their experiences, according to Vandermeyden and another attendee, with one woman describing parts of the company’s Fremont factory as a “predator zone” for harassment.

Vandermeyden also said that a number of women raised their hands when asked if they had been catcalled in the factory.

Some women allegedly talked about feeling unsafe and facing sexist remarks from superiors, while others talked about being dismissed and talked over in meetings with no other female employees.

One male leader spoke up and said it was unacceptable, and noted that he had daughters, according to Vandermeyden

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A former female manager, who was present but no longer works for the company, told The Guardian she was offended by that comment: “It’s insulting. You shouldn’t have to have daughters to know this.”

Tesla countered by saying that “executives attended because they wanted to hear directly from employees about their experiences and learn about how to improve the workplace,” in an email obtained by The Guardian.

Tesla further disputed the news outlet’s characterization of the event by saying, “Employees stood up to ask the executives questions, share their experiences at Tesla — both positive and negative — while others spoke of things that they believed Tesla was doing right and some came with suggestions. In some instances, employees were only looking for better collaboration with their HR business partners in general and had nothing to do with any allegations of harassment.”

The company statement said that when an employee referenced an area of the factory as a “predator zone,” it “surprised many in the room who had never heard of this term.”

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Tesla said that immediately after the meeting, a factory-wide message to supervisors about its “strict policy against any kind of harassment” was sent, adding, “Any complaints of catcalling in the factory are thoroughly investigated and action is taken where necessary.”

According to The Guardian, Tesla also said that “there was a lot of energy around ensuring we are proactively sourcing diverse talent and ensuring that we have an interview and assessment process that is free from bias.”

Vandermeyden said she spoke at the meeting because “it was finally giving women a venue to voice what was going on. It felt like Tesla had been saying I’m making all this up. And here were all the women saying, ‘No, it’s happening.’ It’s too big to deny.”

Harassment

AJ Vandermeyden sits in her Tesla outside her family’s home in San Carlos, California. (Source: Ramin Talaie for the Guardian)

Vandermeyden first got national attention when she went public with her lawsuit in February of this year, although the lawsuit was filed in September 2016.

She had been with Tesla since April of 2013, and alleged that during her time there she was subjected to behavior including “inappropriate language, whistling, and cat calls” at the hands of the mostly male staff. She further claims that she was paid less than her male colleagues despite performing work “equal in skill, effort, and responsibility.”

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Vandermeyden also says that her attempts to raise concerns about the quality testing of cars and office behavior toward women were ignored by male superiors.

Tesla confirmed Vandermeyden’s firing at the time saying:

“Despite repeatedly receiving special treatment at the expense of others, Ms. Vandermeyden nonetheless chose to pursue a miscarriage of justice by suing Tesla and falsely attacking our company in the press,” a spokesperson said. “After we carefully considered the facts on multiple occasions and were absolutely convinced that Ms. Vandermeyden’s claims were illegitimate, we had no choice but to end her employment at Tesla.”

This follows cases of alleged harassment at other tech companies, with Uber’s CEO Travis Kalanick recently resigning amid a reportedly turbulent office culture.

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As for not working at Tesla anymore, Vandermeyden had the following to say:

“I was never your enemy,” she said. “I still believe in the importance of transitioning the world to sustainable energy, but now I don’t get to be a part of it.”

Interim East Coast Editor for Teslarati, contributor for NextMobility. Share tips at mdolzer@teslarati.com

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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.

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tesla interior operating on full self driving
Credit: TESLARATI

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.

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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.

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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.

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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.

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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.

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Credit: Elon Musk | X

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.

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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.

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.

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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).

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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.

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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.

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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.

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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.

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tesla diner
Credit: Tesla

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.

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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.

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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.

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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.

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