News
Tesla responds to allegations of unjust pay and visa violations
Tesla has issued a response to this weekend’s report that a factory worker who worked on the company’s high-volume paint shop at Fremont, CA plant was part of a group of foreign workers that were paid $5/hr and operated outside the terms of their visas.
The story has gained attention after the San Jose Mercury published a report of its recent investigation on Gregor Lesnik’s suit against the electric vehicle maker and several other defendants for unfair treatment in a workplace. The Mercury reports that a Slovenian company called ISM Vuzem flew Lesnik and a group of foreign workers to the U.S. while housing them in “nondescript apartments” where they would be shuttled from and to the Tesla plant to work six to seven days a week at low wages.
Among the claims in the lawsuit via the Mercury:
- Eisenmann USA wrote letters to the U.S. Embassy on behalf of Lesnik and as many as 200 foreign workers stating they would supervise employees at a U.S. auto plant. Most of the Vuzem workers were nonsupervisory laborers and tradesmen.
- Tesla issued company security badges to the foreign workers, recorded their time on site and shared responsibility for setting safety conditions.
- Vuzem required foreign employees to regularly work between 60 and 70 hours a week. Vuzem paid Lesnik an average of 800 euros per month, or about $900, for a rate of less than $5 per hour. Lesnik was promised an equal amount when he returned home, but the company never paid the balance.
- The companies violated wage and employment laws and benefitted from the cheap labor of foreign workers. Workers were promised $12.70 an hour based on a standard workweek. The suit estimates they are due $2.6 million in overtime and premium pay.
Tesla has issued a response to the story defending their stance that the company operated within legal limits stating that Lesnik’s claim is a moral issue at heart, but the company will see to it that the right thing happens and all are treated fairly should the claims be true.
According to Tesla’s issued response, Lesnik’s accident as a result of slipping on loose tile and falling three stories while working on the company’s high-volume paint shop, was investigated by the government regulator that oversees workplace accidents (Cal/OSHA) and found to be not at fault of the company. Tesla’s statement says, “When Mr. Lesnik brought a workers compensation case, Tesla was dismissed from the case because the judge concluded that we had no legal responsibility for what occurred.”
Here’s a copy of Tesla’s full response to the story.
“At Tesla, we aspire to operate on the principles of hard work and exceptional performance, but always tempered by fairness, justice and kindness. There are times when mistakes are made, but those are the standards to which we hold ourselves. With respect to the person at the center of this weekend’s article in the Mercury News, those standards were not met. We are taking action to address this individual’s situation and to put in place additional oversight to ensure that our workplace rules are followed even by sub-subcontractors to prevent such a thing from happening again.
Gregor Lesnik was brought to the Tesla factory by a company called ISM Vuzem, a sub-contractor brought in by Eisenmann, the firm that we hired to construct our new, high-volume paint shop. We contracted with Eisenmann for the simple reason that we do not know how to build paint shops and they are regarded as one of the best, if not the best, in the world. In our dealings with them, we have found them to be an excellent company, run by good people.
The article describes how Mr. Lesnik came to this country, the conditions under which Vuzem employed him and others to do their work, and how Mr. Lesnik ended up being injured while on the job. Assuming the article is correct, we need to do right by Mr. Lesnik and his colleagues from Vuzem. This is not a legal issue, it is a moral issue. As far as the law goes, Tesla did everything correctly. We hired a contractor to do a turnkey project at our factory and, as we always do in these situations, contractually obligated our contractor to comply with all laws in bringing in the resources they felt were needed to do the job.
Regarding the accident that resulted in Mr. Lesnik being injured, Cal/OSHA (the government regulator that investigates workplace accidents like these) came to our factory, investigated the incident and found that Tesla was not responsible. When Mr. Lesnik brought a workers compensation case, Tesla was dismissed from the case because the judge concluded that we had no legal responsibility for what occurred.
All of that is fine legally, but there is a larger point. Morally, we need to give Mr. Lesnik the benefit of the doubt and we need to take care of him. We will make sure this happens. We do not condone people coming to work at a Tesla facility, whether they work for us, one of our contractors or even a sub-subcontractor, under the circumstances described in the article. If Mr. Lesnik or his colleagues were really being paid $5 an hour, that is totally unacceptable. Tesla is one of the highest paying hourly employers in the US automotive industry. We do this out of choice, because we think it is right. Nobody is making us do so.
Tesla will be working with Eisenmann and Vuzem to investigate this thoroughly. If the claims are true, Tesla will take action to ensure that the right thing happens and all are treated fairly.
Creating a new car company is extremely difficult and fraught with risk, but we will never be a company that by our action does, or by our inaction allows, the wrong thing to happen just to save money.”
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
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.
“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.”
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.
Elon Musk
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.
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.”
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.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
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.”
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.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
