News
Tesla implicated in foreign worker scandal after reports of visa violations
The San Jose Mercury finds that up to 140 low wage workers were used to build the new Tesla paint shop at the Fremont factory. They were supplied with phony B1/B2 visas by foreign companies.
Updated: Tesla has issued a response to the story which can be seen here.
Tesla is justly proud of its new state-of-the-art painting facility capable of scaling up to 500,000 vehicles per year at the Fremont factory, but a report coming from the San Jose Mercury published on May 15 says that underpaid foreign workers contributed to the construction of the paint shop violating terms of their B1/B2 visas.
The Mercury began its investigation after Gregor Lesnik, a native of Slovenia who worked on the expansion of Tesla’s multimillion dollar Fremont factory paint shop in 2015, filed suit against Tesla and several other defendants. Lesnik was seriously injured while working on the paint shop project after slipping on loose tile and falling three stories before breaking both legs, ribs, and sustaining a concussion.
The newspaper reports that in 2014, Lesnik was an unemployed electrician living with his mother in Velenje, Slovenia. His girlfriend was expecting their first child and money was tight. He saw an ad seeking workers placed by ISM Vuzen, a construction company located in Slovenia. Vuzem provides teams of Eastern European workers to build manufacturing plants in Europe and the U.S. Among its clients are Mercedes-Benz, Toyota, Volkswagen, Ford, and Saab.
In March, 2015, Tesla selected Eisenmann, a German-based manufacturer of industrial systems, to expand the Fremont paint shop. Eisenmann claimed it was the most valuable contract in its history at $100 million. Soon it began hiring subcontractors to fill out the work force for the project. It turned to Vuzen for some of those workers.
Vuzen helped Lesnik apply for a US visa. Eisenmann assisted. Robert Keller, its US purchasing manager based out of Chicago, was listed as Lesnik’s U.S. contact. After Lesnik filed his lawsuit, Eisenmann denied that it had any legal responsibility for him.
US immigration officials were told that Lesnik was a supervisor with specialized training who would be working at a paint shop for a BMW factory in South Carolina. Keller told INS in a letter that Lesnik was a “supervisor of electrical and mechanical installation. His assignment will involve multiple border entries,” Keller wrote, “but in no way adversely affect the employment of citizens of the United States.”
That couldn’t be further from the truth, says Rob Stoker, president of the Building and Construction Trades Council of Alameda County. “There’s definitely something wrong with this picture.” He claims a local company lost the bid on the Tesla project party because their labor costs were higher. The job would have meant tens of thousands of work hours and valuable training for local apprentices. “It killed us,” Stoker said. “We had so many people — ready, willing and able — needing this.”
For Lesnik and his fellow employees provided by Vuzen, the work in Fremont paid an average of $5 an hour with no benefits. They often worked 12 hour days, sometimes 7 days a week. He claims that Tesla employees who he worked side by side with were earning up to 10 times as much.
Tesla denies any responsibility for Lesnik, his injuries, or his immigration status. A company spokesperson told the Mercury, “Tesla expects all its contractors and their subs … to comply with all applicable pay laws.” Of course they do. But the real question is, how closely do they look at the status of people working at their facilities?
As with similar worker abuse issues that have beset other companies, such as Apple’s troubles with Foxconn, it is one thing to have high expectations. It is quite another to take adequate steps to ensure those expectations are met. All too often, it is easier to look the other way, especially when millions of dollars are involved.
Source and photo credit: San Jose Mercury
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
