News
Tesla Model 3 “Phantom Drain” compared to Model S and Model X
Tesla Model 3 currently leads the pack in terms of having the highest parasitic battery drain, or better known as “Phantom Drain”, over Tesla’s more mature Model S and Model X.
Phantom Drain represents the amount of charge an electric vehicle loses when it is not being driven or operated by a person, similar to how smartphones lose battery power while in standby mode. In the case of Tesla vehicles, the battery discharges while the car is not being driven in order to provide power to its onboard electronics and auxiliary functions, such as the battery’s thermal management system. According to the Model 3 Owners Guide, the vehicle, on average, should discharge at a rate of around 1% per day, similar to Tesla’s quotes for the Model S and Model X’s battery drain levels.
However, looking at data collected through TezLab, a popular app among the Tesla owners community that tracks vehicle power usage, efficiency, and other statistics, Ben Sullins of the Teslanomics YouTube channel was able to see a significantly larger discharge rate from the Model 3. Ben was also able to compare the differences in vampire drain between the 3,855 Model S, 1,281 Model X, and 362 Model 3 being sampled.
Looking at the distribution of Phantom Drain between the Model S, Model 3 and Model X, it could be seen that around 60% of TezLab’s users experienced drain levels similar to Tesla’s quoted levels, which are on the 1-2% range per day. However, the differences between battery drain of the Model 3 and the Model S and X become more prominent over time. It’s worth noting that any parasitic losses as a result of TezLab connecting to the vehicle on a recurring basis may also be accounted for in the results being reported.
-
- Phantom Drain Info Graphic comparing Model S, Model 3, Model X [Credit: TezLab]
-
- A comparison of the Phantom Drain levels of the Model 3, Model S, and Model X. [Credit: Ben Sullins/YouTube]
-
- A comparison of the Phantom Drain levels of the Model 3, Model S, and Model X. [Credit: Ben Sullins/YouTube]
As noted by Ben, the Model 3’s Phantom Drain levels exhibited volatility sometime during the November 2017 to January 2018 period. Ben’s recent real-world range test using his RWD Long Range Model 3 on an LA to Las Vegas route showed an even more drastic level of Phantom Drain, with his car losing almost 20 miles of range while he and his companion ate lunch. That’s a loss of more than 6% from the Model 3’s rated 310-mile range in the span of an hour.
The drain levels of Model 3 owners using the TezLab app has started becoming more normalized, suggesting that the longer the vehicles are on the road, and as Tesla pushed firmware updates to its Model 3 fleet, the more consistent the cars’ drain levels became. Back in 2015, we covered a Model S that lost an average of 2.3% rated range per day while the vehicle was left in 16-degree Fahrenheit (-9 C) weather.
Overall, Tezlab’s data shows that the Model 3 is becoming more consistent as the maturity of the vehicle’s software is improving. Other features like its battery thermal management systems and its auxiliary functions are improving over time as well. These improvements are a trademark of Tesla, which is known as one of the only carmakers whose vehicles get better after they roll off the showrooms.
Watch Ben’s video on the Phantom Drain of the Model 3 compared to the Model S and Model X.
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.
News
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.
News
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”
