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Tesla Model 3 production in China factory undergoes first test trials
Leaked images and footage from the interior of Gigafactory 3 suggest that Tesla is already making the necessary preparations for trial production runs of its Made-in-China Model 3 in its massive Shanghai-based facility. The installation of manufacturing equipment and robots inside Gigafactory 3 is ongoing as well.
The recent Gigafactory 3 leaks were shared on Chinese social media platform Weibo by electric car enthusiast Battery King _ (电池王_). Overall, the images show a section of Gigafactory 3 that was largely complete, though it appeared that the floors and walls of the area are still bare concrete. The lighting appears to be done and the installation of manufacturing equipment is in full swing.
Most remarkably, the recent leaks include pictures of two partly-built Model 3 in an assembly line. It is unknown if the two electric sedans’ panels were stamped on-site or if the vehicles were only assembled at the facility from shipped components, but either way, the fact that Tesla is already beginning trial assemblies of the Model 3 in its China Gigafactory is nothing short of incredible.
Another noticeable aspect of the leaked video and images is the space that seemed to be available on the factory floor even with the Model 3 assembly line in place. Granted, the pictures were only taken at one section of an otherwise gargantuan facility and the tooling for the site is only partially complete, but it is not difficult to see the massive facility producing far more Model 3 than expected once it goes online.
Exceeding the expected initial output of Gigafactory 3 will likely be easier than expected, especially considering that Wall Street has given the facility a notably conservative production forecast. Back in July, for example, Morgan Stanley released an otherwise positive report on Tesla stating that the Shanghai-based site could go online as early as November.
Quite surprisingly, analyst Adam Jonas noted that based on their research, Morgan Stanley expects Gigafactory 3 to produce 35,000-40,000 Model 3 in 2020, with the facility ramping its output to 60,000 units annually in 2021. That’s only 673-769 Model 3 per week in 2020 and 1,150 Model 3 per week in 2021. Considering the size of Gigafactory 3, as well as the fact that 1,150 Model 3 per week is in the same ballpark as the output of the sprung structure-based GA4 in Fremont, Morgan Stanley’s estimate might end up being way off.
This is especially notable considering that Gigafactory 3’s substation is expected to go live as early as next month. Recent drone flyovers of the Gigafactory 3 complex show that the substation is already taking form and perhaps nearing completion within the next few weeks. Barring any unexpected delays, Gigafactory 3 could come alive at the end of September.
During Gigafactory 3’s groundbreaking ceremony last January, Elon Musk noted that trial production runs of the Model 3 could begin in the China-based site at the end of the year. Considering the speed of Gigafactory 3’s buildout, as well as the fact that the preparations for trial Model 3 production runs are already underway, Elon Musk’s estimate might actually prove conservative.
H/T Kelvin Yang, Ray4Tesla.
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
