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Tesla, other EVs required to have ‘traditional engine’ sound to meet new EU rule
Electric vehicles such as Teslas are known for being incredibly quiet. Without an internal combustion engine’s controlled explosions under the hood, electric cars are capable of operating in near-total silence. This, according to a new EU rule, will be changed soon.
A new EU rule coming into force on Monday requires new electric vehicles to be equipped with a pedestrian noisemaker. The new regulations follows concerns that low-emission vehicles such as battery-electric cars are simply too quiet for the road, making them a risk for pedestrians, cyclists, and visually-impaired individuals (among others). According to the new ruling, a car’s Acoustic Vehicle Alert System (AVAS) must be engaged when reversing or traveling below 12 mph (19 km/h).
In its ruling, the EU noted that vehicles usually back up or travel at low speeds in areas that are near people, such as city streets or crosswalks, though the new regulations does allow drivers to deactivate their vehicles’ pedestrian noisemakers as necessary. By 2021, the EU noted that all electric vehicles — not just new models coming to the market — must be equipped with an AVAS.
Quite interestingly, the ruling mentioned that the noise-emitting devices would give EVs a sound that is similar to a “traditional engine,” according to a BBC report. This particular detail is notable, since making electric vehicles sound identical to conventional cars will likely result in some levels of noise pollution, something that EVs completely avoid.
Road noises, after all, are considered the second most harmful environmental stressor in Europe, surpassed only by air pollution. The European Federation for Transport and Environment (also known as Transport and Environment or T&E), for one, notes that vehicle noises are a “major cause, not only of hearing loss, but also of heart disease, learning problems in children and sleep disturbance.”
On the flip side, pedestrian noisemakers do make it far easier for the visually impaired to detect where vehicles are on the road. This was highlighted by Guide Dogs for the Blind, a charity that has complained about the absence of sounds from low-emission vehicles. Guide Dogs welcomed the new EU ruling, though the group noted that it would be better if EVs are required to produce sounds at all speeds.
The UK’s Minister of State at the Department for Transport, Michael Ellis, noted in a statement to the publication that the ruling came about as a result of the government wanting the “benefits of green transport to be felt by everyone,” while considering the safety needs of people at the same time. “This new requirement will give pedestrians added confidence when crossing the road,” he said.
While the consideration for the visually-impaired is quite admirable in the new ruling, it is quite interesting to see the EU regulations require electric vehicles to sound like traditional gas cars. EVs, after all, could have their own unique sound, as could be seen in the Jaguar I-PACE, the Audi e-tron, and even the prototype units of the Porsche Taycan. Even Tesla seems to be working on an AVAS, as hinted at by what appears to be a speaker grille on a Model 3’s underbody. Nevertheless, when Tesla rolls out its vehicles’ pedestrian noisemakers, one could be assured that it would be designed to minimize noise pollution, and it would most likely not simulate the sounds of a “traditional” engine.
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.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
