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Porsche Taycan win against Tesla Model S is suspicious, says veteran drag racer

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Just recently, motoring publication Top Gear posted a video comparing the Porsche Taycan Turbo S to the Tesla Model S Performance. The publication featured a drag race between the two vehicles which ended with the Taycan taking the win from the Model S. The quarter-mile race seemed to be a clean win for the Porsche, but according to a veteran drag racer, there are some aspects of the race that were, to say the least, suspicious. 

Brooks of DragTimes has extensive experience on the drag strip, being the owner of vehicles like the McLaren 720S and the new Ford GT. With a garage filled with high-performance cars and innumerable straight-line races under his belt, Brooks knows a thing or two about drag racing. His experiences with his Model S P100D also make him a veteran Tesla owner who knows all the quirks of the all-electric sedan inside out when launching from a straight line. 

With this in mind, the veteran drag racer noted that there seems to be several things that are wrong about the results of Top Gear‘s quarter-mile race between the Porsche Taycan Turbo S and the Tesla Model S Performance. The motoring publication listed the Model S’ 0-60 mph time at 2.68 seconds, its 0-100 mph at 6.46 seconds, and its quarter-mile time at 11.08 seconds at 124.0 mph. The DragTimes host noted that this immediately rings some alarm bells, as the Model S Performance is known to clock 10.6-second quarter-mile times regularly. 

But it gets stranger. Looking at the figures listed by Top Gear after the two vehicles’ drag race, it appears that the publication basically copy-pasted the exact same performance figures of the Model S from a race against a Mercedes AMG E63S from 2017. This, according to Brooks, is highly suspicious, since the chances of a vehicle having the exact same 0-60 mph, 0-100 mph, quarter-mile time, and trap speed in two different drag races are incredibly thin. 

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Apart from this, the DragTimes host argued that the Model S which raced against the Taycan Turbo S did not seem to be in Launch Mode. This is because the Model S squats when Launch Mode is engaged, something that did not seem to happen in Top Gear‘s video. The motoring publication did not seem to engage the full capabilities of Ludicrous Plus Mode as well, as the graphics on the vehicle’s MCU and instrument cluster do not feature the same settings as a Model S with its maximum performance enabled. 

Top Gear noted that the Porsche Taycan Turbo S completed the quarter-mile in 10.69 seconds, which is 0.39 seconds faster than the Model S’ 11.08-second quarter-mile time. Brooks noted that in drag races, a 0.39-second gap would usually correspond to about four car lengths. This is pretty odd since in the Top Gear video, the Taycan Turbo S was only one car length ahead of the Model S Performance when it crossed the quarter-mile mark. 

If the DragTimes host’s observations are correct, then it means that Top Gear misrepresented the Tesla Model S in its recent comparative video against the Porsche Taycan Turbo S. This is unfortunate, as the two vehicles are actually neck-in-neck, and they do feature quarter-mile performance that can make an exciting drag race. The Porsche Taycan Turbo S is a great vehicle too, and its two-speed gearbox will likely give it an advantage over the Tesla Model S Performance at high speeds. 

Simply put, the Porsche Taycan Turbo S is a worthy competitor that has the potential to win against a Raven Tesla Model S Performance with Launch Mode and Ludicrous Plus fair and square. Misrepresentations, whether intentional or not, only do Porsche an injustice. The Model S deserves better, and the Taycan Turbo S does too. 

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Watch Brook’s breakdown of Top Gear‘s Porsche Taycan Turbo S vs Tesla Model S Performance drag race in the video below. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla stuns with another FSD approval in Europe, its second in two days

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Tesla has stunned by gaining yet another approval for its Full Self-Driving suite in Europe, its second in two days and its fifth overall.

Belgium will be the latest country to allow Tesla owners to utilize FSD on public roads in Europe, joining a quickly growing list that started with the Netherlands, Lithuania, and Estonia.

On Tuesday, Denmark announced its approval of the FSD suite, which has now been followed by Belgium just one day later.

The country’s Minister of Mobility, Annick De Ridder, announced the approval on her X account, stating that she had just signed the approval of Tesla FSD. It now goes to the country’s homologation department for the last step of the approval process.

The Belgian approval is one of mighty importance because it truly shows how quickly countries in Europe could greenlight the FSD suite consecutively. Approvals are already coming in relatively quickly, which is a great sign.

Perhaps the next big development that could come from FSD approvals in Europe is an approval from a country like England, Italy, France, Spain, or Germany. It would be something to see how FSD would perform in a major European metro, such as London, Barcelona, Madrid, Paris, Rome, or Berlin.

Full Self-Driving does an excellent job of roaming around major U.S. cities like New York and Los Angeles, but other high-profile international cities of significance would truly mark a line in the sand for Tesla, which can simply enable any vehicle in its customer-owned fleet to run FSD with the correct approvals.

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SpaceX’s Elon Musk relieves worries about orbital data centers

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Rendering of Elon Musk overlooking a Starship fleet (Credit: Grok)
Rendering of Elon Musk overlooking a Starship fleet (Credit: Grok)

SpaceX CEO Elon Musk recently confronted worries about orbital data centers and launching satellites in mass quantities in space, as some voiced concerns about crowding.

Musk’s SpaceX plans to combat the issue of needing data centers by launching them into space instead of taking up valuable real estate on Earth. It has been a major point of SpaceX’s future, including its looming IPO, which could be the largest ever.

In a recent interview filmed at SpaceX’s Starlink terminal factory in Bastrop, Texas, Elon Musk directly addressed concerns that deploying large numbers of AI satellites for orbital data centers could crowd Earth’s orbit. His message was straightforward and reassuring: space is vast beyond human intuition.

“Space is really big,” Musk said. “It’s not like space is gonna get crowded. Space is enormous. If you actually look at it relative to the Earth, the satellites are so tiny you can’t even see them.” He emphasized that even zooming in makes a satellite appear large, but from a planetary perspective, they are minuscule specks.

Musk pointed to SpaceX’s real-world experience operating roughly 10,000 Starlink satellites as evidence that large constellations can be managed safely. “We’ve got a pretty good idea of how to operate just really large constellations and do it safely,” he noted. SpaceX remains the only operator with meaningful experience at this scale, giving the company unique insight into tight orbital packing without compromising safety

The discussion highlighted SpaceX’s plans for “AI1” satellites—essentially orbiting racks of AI compute powered by massive solar arrays and cooled via radiative panels in space’s vacuum.

These satellites leverage proven Starlink V3 technology, making them simpler to design than communications satellites. A first-generation unit targets around 150 kW peak power, with a 70-meter wingspan for solar panels and radiators. Laser links will connect them to each other and the Starlink network, delivering low-latency access (on the order of a few milliseconds from low-Earth orbit).

FCC accepts SpaceX filing for 1 million orbital data center plan

Musk framed orbital data centers as a practical solution to Earth’s constraints on AI growth. Ground-based facilities face power shortages, water demands for cooling, and grid limitations. In space, constant sunlight (no day-night cycle), vacuum radiative cooling, and abundant solar energy offer clear advantages.

Production will ramp up at an expanded “Gigasat” factory in Bastrop, with solar manufacturing already underway and full AI satellite output expected at reasonable volume by the end of 2027. Starship’s rapid, high-volume launch capability, aiming for multiple flights per hour, will make massive deployment feasible.

Critics sometimes raise risks like space debris or Kessler syndrome, but Musk’s response underscores scale: even a million satellites would represent an imperceptible fraction of available orbital volume when viewed against Earth’s size. SpaceX’s automated collision avoidance and deorbiting designs for Starlink further mitigate concerns.

This vision ties into broader ambitions. Musk sees orbital AI compute as a step toward harnessing more of the Sun’s energy, advancing humanity on the Kardashev scale from a Type 0 civilization toward Type 1 and eventually Type 2. By moving power-hungry data centers off-planet, SpaceX aims to unlock orders-of-magnitude more compute while preserving Earth’s resources.

Musk’s comments should ease public anxiety. With proven operational expertise, incremental engineering, and the immensity of space itself, orbital data centers represent not overcrowding, but smart expansion into the final frontier.

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Investor's Corner

Tesla Full Self-Driving hits Level 4? One analyst says yes

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Credit: Tesla

Tesla Full Self-Driving (Supervised) is currently listed as a Level 2 suite in terms of its passenger cars. As its Robotaxi platform continues to move quickly, it has been recognized as a Level 4 ride-sharing program by the State of Texas, as Tesla recently self-certified itself.

However, a Wall Street analyst is arguing that Tesla (NASDAQ: TSLA) has effectively achieved Level 4 autonomy in most conditions in all of its vehicles, drawing on personal experience and data released by the company.

Alex Potter of Piper Sandler said in a note to investors on Wednesday that “Tesla has solved the self-driving puzzle,” pointing to decisions to offer insurance discounts for FSD-enabled policies as a signal of confidence, which is backed up by stellar safety records compared to human driving.

Investing.com initially reported on Potter’s new note.

Additionally, Potter looks at the recent start of Cybercab production at Giga Texas as a potential indication that Tesla is ready to offer some level of unsupervised driving at least in the near future. The Cybercab has no steering wheel or pedals, completely eliminating the ability for human input.

He also sees Tesla’s allocation of “several hundred million USD (if not $1B+)” as confidence internally, seeing as it would be tough to set aside that amount of capital toward a project that the company does not see as relatively near-term.

Forward thinking, especially as Cybercab has no human controls, it would make sense that Tesla is at least close to self-driving. How close is another question.

Tesla has routinely teased that unsupervised FSD is close, but there are still a lot of things it feels as if the company has to roll out some more capability, including unsupervised parking features, known as “Banish,” better operation with regional self-driving performance, and other improvements.

That is not to say that Tesla FSD is super impressive already. It has already completed coast-to-coast drives across the United States and Canada, it routinely takes the stress out of driving for most people, and it has proven through Tesla Safety Reports that it is safer and involved in accidents less frequently than humans.

Even Potter believes it is capable, as he used it to go from Missoula, Montana, to Minneapolis, Minnesota, back in April.

“There’s no substitute for personal experience,” he wrote.

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