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Tesla Model S beats Porsche Taycan’s Nurburgring lap by ~20 secs: German auto mag
A German motoring publication recently reported that Tesla’s “Plaid Powertrain” Model S prototype on the Nurburgring has effectively destroyed the lap record of the Porsche Taycan around the iconic track. What’s particularly remarkable was that the Model S reportedly beat the Taycan’s time by a wide margin.
German media outlet Auto Motor und Sport, which has been covering the region’s auto industry since 1946, stated in a recent report that the Model S beat the Porsche Taycan’s Nurburgring lap time by almost 20 seconds. An observer from the publication recorded a hand-stopped lap time of 7 minutes 23 seconds for the Model S, far quicker than the pre-production Taycan’s time of 7 minutes 42 seconds.
Granted, the motoring magazine’s hand-stopped Model S lap time is bound to have corresponding inaccuracies, but this does not take away from the fact that Tesla’s largest sedan not only completed a lap around the Nurburgring without throttling its power; it did so in commanding fashion. This feat, if any, provides an encouraging indication of Tesla’s constant development of its vehicles, particularly with regards to its flagship sedan.
It would be easy to criticize or dismiss Tesla’s accomplishment for running a lap in a vehicle that is not yet available for purchase. Elon Musk, after all, announced that the Plaid Powertrain equipped in the Model S units at the Nurburgring is still about a year before it enters production. That being said, it should be noted that the Taycan unit that ran the 7-minute-42-second lap around the nearly 13-mile track is also a pre-production vehicle, complete with a roll cage.
Just like Tesla, Porsche did not disclose the specs and equipment set of the Taycan in its record-setting run either, only stating that it was a prototype unit with over 600 hp. From this angle, at least, the Taycan’s run and the Tesla’s Plaid Model S’ lap could be compared, considering that both vehicles had equipment that was installed for the Nurburgring run.
If Auto Motor und Sport‘s hand-stopped time is anywhere close to the official lap times of Tesla’s Plaid Model S prototype, the electric car maker will not only be able to beat the high bar set by the Taycan with its 7:42 run; it will be able to join the likes of vehicles such as the Enzo Ferrari and the Pagani Zonda F Clubsport, both of which lapped the Nurburgring in 7 minutes and 24-25 seconds. These vehicles are a class far above that of performance production four-door cars, save for monsters such as the Mercedes-AMG GT 4-Door Coupé 63 S 4MATIC+, which completed the Nurburgring in 7 minutes 25 seconds.
With the introduction of its Plaid Powertrain and three-motor setup for the Model S sedan and Model X SUV, Tesla appears to be setting the stage for the release of a line of vehicles that are excellent both in a straight line and on the track. Together with the next-generation Roadster, Tesla’s Plaid Model S and X will likely establish once more that electric cars are simply superior to their gasoline and diesel-powered counterparts in every metric.
Elon Musk
Elon Musk says he ‘hopes AI is nice to us’
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.
News
Tesla starts testing its Starlink-integrated Cybercab on public roads
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.
News
Tesla is building its largest Supercharger on the East Coast in New York City
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.
