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 is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
-
The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
-
Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
Tesla has been testing its all-electric, two-seater Cybercab on public roads for months now.
Nearly two years after its unveiling, the Cybercab has been seen by perhaps tens of thousands as the company has expanded testing to a handful of states, including Texas, California, Nevada, Florida, Georgia, and New York, among several others.
However, nobody has seen one like this quite yet.
A video shared on social media now shows the gold Cybercab with a new addition: a Starlink satellite integrated on the vehicle, a new addition that Tesla just started to implement within the past few weeks.
@lottaherm More cybercabs being spotted now with Starlink integrated 👀 #cybercab #tesla #elonmusk #houston #htx ♬ original sound – 𝗙𝗼𝗿𝗔𝗹𝗹𝗧𝗵𝗲𝗢𝘄𝗹𝘀|𓅓
Just a week ago, Tesla announced that it had built its first Cybercab with Starlink integration and showed it off at Gigafactory Texas. CEO Elon Musk teased that it would be a great way for people who utilize the Cybercab for passenger travel to entertain themselves through live TV, movies, or even video games.
Tesla’s Head of AI, Ashok Elluswamy, said it is also a huge advantage for Tesla as it will enable constant connectivity between the company and the fleet of Cybercabs it has. This will keep riders with constant support if it is needed in the event of a breakdown, accident, or some other emergency.
Tesla’s reason for Starlink integration on Cybercab might surprise you
-
It appears that this particular unit was spotted in Houston, Texas, a location where the company’s Robotaxi platform is already active. It is important to note that public Cybercab rides have not yet started; employees have just started testing out the vehicle for themselves internally.
Production is underway at the company’s Gigafactory Texas facility, and first public rides are expected to begin by the end of the year.
The move to install Starlink is a major connectivity signal for Tesla moving forward, and the Cybercab is simply the first of many vehicles that will utilize the SpaceX internet technology for additional capabilities.
Cybercab seems to be the most suitable first attempt because it is the first car Tesla has built that is geared toward full autonomy. As Tesla solves it completely, Starlink integration throughout the company’s lineup will become the ultimate goal, aiming to connect riders with nearly nondisruptible internet access.
Tesla is building its largest East Coast Supercharger in New York City, planning to bring a 64- to 68-stall station to Queens, New York.
It will end up being tied for the largest Supercharger on the East Coast with this number of stalls. The largest on the Eastern Seaboard is located in Halifax, North Carolina, and is also 68 stalls.
Tesla is currently building a new 64-stall Supercharger station in Queens, New York. This will be the biggest Supercharger station on the East Coast of the U.S.
It will also have two pull-through stalls for EVs with trailers. Thx for the pics @LetsCleanNYC. pic.twitter.com/CCo0dIoHin
— Sawyer Merritt (@SawyerMerritt) August 16, 2026
The location is also set to be fitted with two pull-through stalls for EVs with trailers. We’ve seen Tesla implement these types of parking spots at newer locations as EV ownership continues to expand to those who do more than simply drive their cars.
There are plenty of Superchargers in the New York City metro, but they are mostly located in boroughs outside of Manhattan. There are five Superchargers in various neighborhoods of Manhattan, but there are limited plugs; usually only four per location. There are plenty of Destination Chargers in the Big Apple, though.
-
Queens, the Bronx, and Brooklyn have become popular locations for companies to build out charging infrastructure for those who live in the highly populated boroughs. There is simply much more real estate to build effective EV charging stations.
The Supercharger will be located in Maspeth, Queens, at 48-26 54th Road. Maspeth has I-495 running through it, so this will be a great location for Tesla owners to hop off the highway on their way to Long Island or to Manhattan to charge up before continuing their journey.
Tesla has done a really great job of expanding its charging footprint throughout the past several years, especially by building large-scale projects that cater to areas that have a high volume of traffic and are main routes of travel to major areas. Tesla is making an effort to make charging less stressful and more widely available in these concentrated regions.
Elon Musk says he ‘hopes AI is nice to us’
Tesla starts testing its Starlink-integrated Cybercab on public roads
