Former Tesla co-founder JB Straubel’s battery recycling startup Redwood Materials announced recently that it had come to terms with Envision AESC for cell recycling efforts. After CNBC initially reported the partnership yesterday, Teslarati spoke to the battery recycling startup, indicating there are plenty of details that make the pairing ideal for the entire EV sector.
While Redwood’s most recent announcement sheds light on a partnership with AESC, it is not the only contributor to the batter recycling efforts that Straubel’s company is working on. With the conglomerate’s announcement, Redwood now works with the two largest battery manufacturing companies in North America. Along with AESC, Redwood is also working with Panasonic, Tesla’s supplier at its factory in Sparks, Nevada, known as the Tesla Gigafactory. While Envision AESC works out of Tennessee, Redwood has established two battery cell producers in separate regions of the United States, working on expanding its footprint of possible EV manufacturers who need assistance in responsibly disposing of their batteries.
Resuing battery materials will eliminate some criticism regarding mining, which can be hazardous to the environment. Ultimately, Redwood aims to give EV manufacturers the ability to reuse their materials, and it has gotten to the point that the difference between new and recycled materials is relatively “indistinguishable,” Straubel said.
However, Bill Williams, Envision AESC’s Director of Business Development, also chimed in on the partnership with Redwood. The two companies’ goals of sustainability and cost-effectiveness will help the development of the electric vehicle sector, along with the ongoing production of energy storage products that are becoming more popular.
Williams said:
“Envision AESC’s partnership with Redwood Materials will allow all production scrap from our US factory to be recycled, and, eventually, for Redwood to supply material for AESC. This circular supply chain supports Envision AESC’s deep commitment to sustainability and already creates substantial cost savings for Envision AESC that will be passed down to future electric vehicles and energy products.”
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Two Tesla Execs linked to advanced recycling startup Redwood Materials
Batteries from AESC’s facility in Smyrna, Tennessee, are being used to power electric buses, energy storage units, and the Nissan LEAF, among many other products, a Redwood spokesperson told Teslarati. Additionally, the material being received by Redwood from both the Tesla Gigafactory makes up for more than 1 GWh of material from Panasonic alone. This is ultimately fueled by the expansion of the Gigafactory, and the material received by Redwood will return to Panasonic and be put into new batteries, according to Redwood’s spokesperson.
Redwood will recycle all production scrap from any of its partners, including cathode and anode materials and cells or battery modules that don’t pass validation and are past the point of repair. The goal of its partnership with AESC is to produce material that could eventually be returned to the supplier as a part of a fully circular supply chain, eliminating the need for massive mining pushes or extensive contracts with battery material suppliers, the spokesperson added.
Redwood’s development of recycled goods will eventually turn the EV sector into an even more sustainable industry that could lead to the complete phase-out of combustion engines altogether. If batteries are sourced properly as the EV sector continues to grow, many of the cars on the road could contain recycled materials thanks to Redwood’s initiative, turning the already Earth-friendly EV sector into one of the most sustainable industries globally.
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.