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Top Gear doubles down on Tesla vs Porsche race, claims Model S’ actual results are worse
Top Gear‘s saga involving a drag race between the Tesla Model S Performance and the Porsche Taycan Turbo S continues to unravel, as CEO Elon Musk expressed his comments on Twitter and the motoring publication posted an update defending its results.
Following the release of a thorough analysis of the Model S vs Porsche Taycan drag race which suggested that Top Gear did not engage the Tesla’s Launch Mode and full Ludicrous Plus capabilities in the race, CEO Elon Musk took to Twitter to offer his take on the two vehicles’ bout. According to Musk, Top Gear did miss the Model S’ real performance figures, especially since the numbers published by the motoring publication were inconsistent with what regular Tesla owners have recorded on their vehicles.
Amidst criticism from the electric car community, Top Gear has issued a response explaining its Model S Performance vs Taycan Turbo S drag race results. Quite surprisingly, the motoring publication admitted that they did use Model S figures from a previous race in the Tesla vs Porsche drag battle. Even more surprisingly, Top Gear claimed that this was done in favor of the Tesla Model S Performance.
Explaining its results, Top Gear stated that the best figures recorded for the Tesla Model S Performance during its battle with the Taycan were a 0-60 mph time of 2.83 seconds, a 0-100 mph time of 6.64 seconds, and a quarter-mile time of 11.23 seconds at 123.2 mph. These figures were worse than the 0-60 mph time of 2.68 seconds, 0-100 mph time of 6.46 seconds, and quarter-mile time of 11.08 seconds at 124.0 mph listed by the publication in its comparative video.
“These were numbers we recorded in a Model S on a previous occasion. We ran them because these are the best figures we’ve achieved in a Model S to date so we know that’s what the car is capable of. And just to be clear, the Tesla was in Ludicrous+ mode, the battery was pre-conditioned and both cars had around 85 per cent charge before the first run,” Top Gear wrote.
Looking at Top Gear‘s statement and clarification, it appears that the motoring publication is suggesting that the Raven Model S Performance actually has worse capbilities than a vehicle that it used from back in 2017. This does not align with the experiences of Tesla owners at all, many of whom have reported that the Raven Model S Performance can actually outrun a Tesla Model S P100D in the quarter-mile.
Interestingly, Top Gear‘s clarification did not address the main concern expressed by the Tesla community about the Model S vs Taycan race — that the Tesla was not in Launch Mode during its drag battle with the German-made all-electric sports car. This, apart from the fact that a video of the Model S’ interior while it was racing with the Taycan showed that the vehicle’s Range Mode was activated, further clouds Top Gear‘s defense of its race.
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Overall, it is quite disappointing to see Top Gear standing by its Tesla Model S Performance vs Porsche Taycan Turbo S drag race results. With the race practically debunked, it would not be in the Porsche Taycan’s best interests to run away with a win from the Model S at this point. The Taycan deserves a clean win, and it is something that it can actually achieve, considering its dual-speed gearbox. Simply put, it would be better for Top Gear at this point to race the two vehicles again, this time with both cars on Launch Control, and this time with an actual Raven Model S, to provide an accurate depiction of a drag race between these two excellent vehicles.
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
