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A Tesla Semi with structural batteries and 620 miles of range is a haymaker against trucking emissions
The Tesla Semi may be requiring a lot of patience among its reservation holders, but it appears that the all-electric Class 8 long-hauler will be well worth the wait. While speaking at the European Battery Conference organized by the Federal Ministry of Economics, Elon Musk remarked that the Tesla Semi will be equipped with a structural battery pack. This, together with other optimizations, should allow the Tesla Semi to have a range of up to 620 miles in the future.
“Getting a range of 500 km is I think, quite easy. And this is assuming a truck that is pulling a load of something in the order of 40 metric tons. So that’s a heavy truck. For long-range trucking, up to, we think, easily 800 kilometers, and we see a path over time, to get to about 1,000 kilometers of range. We think this is going to be extremely competitive and compelling to trucking companies,” Musk said.
The Tesla Semi’s initial range of 300-500 miles per charge is no joke, but it does give the impression that the Class 8 long-hauler is best used for short or medium routes. With a 620-mile range, however, things become very different. Together with its low operating costs, stellar safety systems, as well as built-in driver-assist features like Convoy Mode, the Tesla Semi could very well be a haymaker against the emissions of the trucking industry.
The trucking industry is among the biggest culprits in the transportation sector’s overall emissions. Following the unveiling of the Tesla Semi back in 2017, the Environmental Defense Fund published a post stating that the transportation sector accounts for 7% of total fine particulate matter globally. Commonly known as soot, particulate matter has been linked to several diseases such as cancer, heart attacks, and strokes. Freight trucks produce nearly half of the transportation sector’s total fine particulate matter.
There is no doubt that a shift to electric trucks would benefit the environment and humanity as a whole. Unfortunately, battery-electric trucks have been constrained by range so far. Even vehicles made by veteran truckers like the eCascadia are only able to travel a measly 250 miles per charge. That makes battery-electric trucks limited in their use, despite their environmental benefits. Even the Tesla Semi’s initial iteration, which was announced with 300-500 miles of range per charge, is not comparable to the range of diesel long-haulers, which are fitted with 200-gallon tanks and are capable of running over 1,000 miles with a full tank.
Things become very different with a battery-electric truck that is capable of traveling 620 miles between charging sessions. In the United States, semi truck drivers are mandated by law to drive no more than 11 hours per day with a 14-hour work day cap before they are required to rest. At highway speeds, this translates to drivers covering about 600-650 miles per shift. Considering Elon Musk’s recent statements about the Semi, it appears that Tesla is improving its Class 8 truck to such a degree that it would be a compelling alternative even to long-range diesel and gas semis.
The trucking market is pretty much dictated by the businesses that are dependent on it. With this in mind, there is a good chance that businesses using trucks for their operations would shift to battery-electric trucks once they offer more advantages compared to their traditional counterparts. In the Tesla Semi’s case, the low operating costs, better performance, and safety improvements are already there. And with 620 miles of range, businesses will likely find very little reason to stick with fossil fuel-powered trucks.
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.