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Tesla case against Xpeng Motors over alleged Autopilot code theft faces roadblock
Tesla’s case against Chinese EV maker Xpeng Motors over the alleged theft of its Autopilot source code recently reached an unfortunate roadblock. In a recent update, a federal judge rejected a request from Tesla that would allow the company to access grand jury materials related to a former Apple engineer, who reportedly stole trade secrets before joining the Chinese EV maker.
Back in mid-January, Tesla subpoenaed XMotors, the US business unit of the China based Xpeng Motors. This was seen as a bid to gather evidence in its civil lawsuit against Cao Guangzhi, who previously worked on Tesla’s Autopilot team as an engineer. Guangzhi is accused of misusing Tesla’s intellectual property for the benefit of Xpeng, his new employer.
Tesla requested access to several materials, including the entire repository of Xpeng’s XPilot source code, referring to the Chinese EV maker’s own driver-assist system that is intended to rival Autopilot. The American electric car maker also requested access to clones of hard drives from Xpeng senior executives.
Interestingly enough, Tesla also requested access to court records related to a criminal charge against former Xpeng employee Zhang Xiaolang, who used to work for Apple. Like Cao, the former Apple employee is accused of stealing trade secrets before joining Xpeng. Unfortunately for Zhang, the Chinese EV maker opted to cut ties with him after criminal charges were filed.
It is these requests that were denied by a federal judge on Wednesday. In an announcement, US District Judge Vince Chhabria stated that the relevance of materials related to Zhang and Tesla’s claims against Cao was “speculative and tenuous.” “Discovery of this information is not proportional to the needs of this case at this time, especially given the potential for interference with an ongoing criminal prosecution, a concern raised by the US Attorney,” the US federal judge wrote, as noted in a TechNode report.
Apart from these, Tesla will also not be provided with images of work computers from several key Xpeng executives, including CEO He Xiaopeng and President Brian Gu. This was due to the executives being employed solely by China-based Xpeng Motors, not by the company’s US-based XMotors business unit. Tesla is not coming out of its requests empty handed, however. Xpeng is still required to produce the source code for its XPilot system. The source codes from XPilot and Autopilot are poised to be reviewed by a neutral third party, who will determine if any theft was indeed performed.
Xpeng has been pretty open about the fact that its business is inspired by Tesla, with the company stating that had used the American electric car maker’s patents to develop its vehicles. Its P7 sedan, which was recently revealed, is also poised to be a response to the Model 3, Tesla’s most successful car to date. Unfortunately, some of Xpeng’s actions in the past have suggested that the company’s inspirations from Tesla may go a bit deeper than expected. This is hinted at by the heavily Model S/X inspired interior of its vehicles, and the fact that its website seems to be a direct copy of Tesla’s configurator.
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.
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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
