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Tesla locks in world’s largest cobalt supplier Glencore for Gigafactory Shanghai, Berlin
Tesla has secured a deal to purchase 12 million pounds of cobalt annually from Glencore, a Swiss-based company that is recognized as the world’s largest miner of the metal. The partnership will keep Tesla away from a possible supply squeeze of cobalt as more automakers aim to break into the EV sector in the future.
The deal will supply both Giga Shanghai and Giga Berlin with enough of the metal to avoid a shortage in the future. With the electric vehicle sector continuing to grow, and demand for Tesla vehicles expanding in both Europe and Asia, the company has struck a deal that will alleviate any supply shortage concerns in the coming years.
The terms of the deal are unknown, and neither company responded to inquiries from Bloomberg, which first reported the partnership between the electric car maker and the cobalt supplier.
In both China and Europe, popular automakers like Volkswagen, BMW, and BYD are preparing for a future with electric transportation. In 2017 and 2018, a shortage in cobalt caused prices to spike, which seems to have given Tesla CEO Elon Musk the indication that his company must begin developing a battery that was less reliant on the metal. While Tesla continues to work on battery cells that are free of cobalt, the deal with Glencore ensures that the electric car maker will not be in short supply in the foreseeable future.
Tesla had been discussing the terms of a deal with Glencore since mid-January. However, Glencore’s automotive supply chain goes past the Silicon Valley-based automaker. The company signed an agreement with BMW in April 2019, and also with Korean battery manufacturer SK Innovation in December 2019.
Tesla is looking to ramp up production outside of the United States as demand continues to increase across the globe. With the company planning to begin a steady push of the Model Y in Europe and Asia in 2021, Tesla’s battery supply chain must be efficient and dependable to ensure a steady flow of reliable electric vehicles.
Giga Shanghai is currently producing vehicles at a run-rate of 200,000 a year, with production expected to increase when Tesla completes phase 2A of the facility. The completion of the second phase in China will introduce the Model Y to the largest automotive market in the world.
Meanwhile, Giga Berlin is still roughly a year away from its initial production push, which will begin with the Model Y. However, Tesla anticipates an annual production rate of 500,000 electric cars per year.
Tesla recently expanded on its use of cobalt within its battery cells in the 2019 Impact Report. The company currently utilizes “nickel-rich cathode materials” in its cells, which contain less cobalt concentration than cathode chemistries that other companies use in their batteries.
The company also expanded on its practices of using cobalt, which is controversial on its own due to its mining practices in the Democratic Republic of Congo. Glencore owns a mine in the DRC, but it is currently closed for maintenance. Tesla’s suppliers are required to follow the company’s “Supplier Code of Conduct” and its “Human Rights and Conflict Minerals Policy.” Each of Tesla’s suppliers is subjected to an annual third-party to ensure safe and humane mining practices.
Tesla’s deal with Glencore will ensure safe and humane cobalt mining, but it will also ensure the company’s long-term success as production and demand for continue to rise. The electric automaker will undoubtedly let go of any concern that may have to do with supply shortages while the industry continues to grow amid more competition entering the sector.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.