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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.”

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.

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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

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.

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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.”

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.”

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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.”

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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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance. 

More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system. 

Jensen Huang’s praise for Tesla FSD

Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”

During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:

“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies. 

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“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said. 

Nvidia’s platform approach vs Tesla’s integration

Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.

“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.

He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.

“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”

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He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.

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Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

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Credit: xAI/X

xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters. 

The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.

xAI’s turbine deal details

News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.

As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X. 

xAI’s ambitions 

Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”

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The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. 

xAI announced the investment round in a post on its official website. 

A $20 billion Series E round

As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. 

Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”

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xAI’s core mission

Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.

xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5. 

“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote. 

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