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Tesla Model S shows drastic consistency improvements after update, ties Taycan in Car & Driver test

(Photo: Tesla Photographer/Instagram)

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Back in February, esteemed motoring publication Car and Driver pitted the Tesla Model S Performance against the Porsche Taycan Turbo S. And while the publication ultimately granted the win to the Model S due to its value for money, the tests showed that the Taycan had the better performance between the two vehicles. This was especially true when it came to consecutive quarter-mile runs. 

The Model S shone against the Taycan in rolling-start 5-60 mph runs, but in actual sprints to the quarter-mile, the Tesla ended up being slower than the Porsche. The publication noted that on its hero run, the Model S Performance was able to hit 60 mph in 2.5 seconds, which was only 0.1 seconds slower than the Taycan Turbo S’ 2.4 seconds. However, the gap between the two cars was about 3 seconds by 150 mph. 

Shockingly, the Model S’ 0-60 mph times fell off rapidly after its first couple of runs, and by the 15th launch, the flagship Tesla sedan was hitting highway speeds nearly at the pace of the Chevy Bolt EV. That was the case, at least, until Tesla rolled out its Cheetah Stance update for the Model S. Once that was rolled out, everything changed. 

(Credit: Car and Driver)

With the exact same car on hand, Car and Driver opted to retest the Model S Performance’s capabilities with its Cheetah Stance update. The only difference was that this time, the test track used for the all-electric sedan’s launches was in Michigan instead of Southern California. Needless to say, the Tesla Model S got better after its update — a whole lot better. 

The hero run of the Model S Performance was already impressive back in February, but with its Cheetah Mode update, the vehicle was able to show a 0-60 mph time of 2.4 seconds, matching the Taycan Turbo S’ best time. Inasmuch as the results from this past February were shocking, the results from the Model S’ retest were equally astounding. The vehicle’s 0-60 mph time only ranged from 2.7 to 3.8 seconds, and quarter-mile passes ranged from 11.3 to 12.9 seconds. 

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Ultimately, after 15 consecutive launches, the average time in both metrics dropped by around 2 seconds compared to the tests last February. This stunning improvement in consistency, which was evidently only due to new software, was something that truly impressed Car and Driver

“Across all 15 runs, the average time in both metrics dropped by a massive two seconds compared to our previous test. That’s a staggering gain in performance from twiddling a few lines of code, and we continue to marvel at the breadth and depth of the changes Tesla is making with its continual software updates,” the publication wrote. 

What is rather interesting is that the Tesla Model S Performance today is not done receiving improvements from the electric car maker. Tesla stands apart from the competition with its mastery of over-the-air software updates, and if Car and Driver’s tests are any indication, these improvements are incredibly evident. It could, for one, match the consistency and performance of a flagship electric car like the Porsche Taycan Turbo S, at a fraction of the price. 

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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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Elon Musk

Tesla Full Self-Driving’s newest behavior is the perfect answer to aggressive cars

According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.

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Credit: Tesla

Tesla Full Self-Driving appears to have a new behavior that is the perfect answer to aggressive drivers.

According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.

With FSD’s constantly-changing Speed Profiles, it seems as if this solution could help eliminate the need to tinker with driving modes from the person in the driver’s seat. This tends to be one of my biggest complaints from FSD at times.

A video posted on X shows a Tesla on Full Self-Driving pulling over to the shoulder on windy, wet roads after another car seemed to be following it quite aggressively. The car looks to have automatically sensed that the vehicle behind it was in a bit of a hurry, so FSD determined that pulling over and letting it by was the best idea:

We can see from the clip that there was no human intervention to pull over to the side, as the driver’s hands are stationary and never interfere with the turn signal stalk.

This can be used to override some of the decisions FSD makes, and is a great way to get things back on track if the semi-autonomous functionality tries to do something that is either unneeded or not included in the routing on the in-car Nav.

FSD tends to move over for faster traffic on the interstate when there are multiple lanes. On two-lane highways, it will pass slower cars using the left lane. When faster traffic is behind a Tesla on FSD, the vehicle will move back over to the right lane, the correct behavior in a scenario like this.

Perhaps one of my biggest complaints at times with Full Self-Driving, especially from version to version, is how much tinkering Tesla does with Speed Profiles. One minute, they’re suitable for driving on local roads, the next, they’re either too fast or too slow.

When they are too slow, most of us just shift up into a faster setting, but at times, even that’s not enough, see below:

There are times when it feels like it would be suitable for the car to just pull over and let the vehicle that is traveling behind pass. This, at least up until this point, it appears, was something that required human intervention.

Now, it looks like Tesla is trying to get FSD to a point where it just knows that it should probably get out of the way.

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Tesla Megapack powers $1.1B AI data center project in Brazil

By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.

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Credit: Tesla

Tesla’s Megapack battery systems will be deployed as part of a 400MW AI data center campus in Uberlândia, Brazil. The initiative is described as one of Latin America’s largest AI infrastructure projects.

The project is being led by RT-One, which confirmed that the facility will integrate Tesla Megapack battery energy storage systems (BESS) as part of a broader industrial alliance that includes Hitachi Energy, Siemens, ABB, HIMOINSA, and Schneider Electric. The project is backed by more than R$6 billion (approximately $1.1 billion) in private capital.

According to RT-One, the data center is designed to operate on 100% renewable energy while also reinforcing regional grid stability.

“Brazil generates abundant energy, particularly from renewable sources such as solar and wind. However, high renewable penetration can create grid stability challenges,” RT-One President Fernando Palamone noted in a post on LinkedIn. “Managing this imbalance is one of the country’s growing infrastructure priorities.”

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By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.

“The facility will be capable of absorbing excess electricity when supply is high and providing stabilization services when the grid requires additional support. This approach enhances resilience, improves reliability, and contributes to a more efficient use of renewable generation,” Palamone added.

The model mirrors approaches used in energy-intensive regions such as California and Texas, where large battery systems help manage fluctuations tied to renewable energy generation.

The RT-One President recently visited Tesla’s Megafactory in Lathrop, California, where Megapacks are produced, as part of establishing the partnership. He thanked the Tesla team, including Marcel Dall Pai, Nicholas Reale, and Sean Jones, for supporting the collaboration in his LinkedIn post.

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Starlink powers Europe’s first satellite-to-phone service with O2 partnership

The service initially supports text messaging along with apps such as WhatsApp, Facebook Messenger, Google Maps and weather tools.

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Credit: SpaceX

Starlink is now powering Europe’s first commercial satellite-to-smartphone service, as Virgin Media O2 launches a space-based mobile data offering across the UK.

The new O2 Satellite service uses Starlink’s low-Earth orbit network to connect regular smartphones in areas without terrestrial coverage, expanding O2’s reach from 89% to 95% of Britain’s landmass.

Under the rollout, compatible Samsung devices automatically connect to Starlink satellites when users move beyond traditional mobile coverage, according to Reuters.

The service initially supports text messaging along with apps such as WhatsApp, Facebook Messenger, Google Maps and weather tools. O2 is pricing the add-on at £3 per month.

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By leveraging Starlink’s satellite infrastructure, O2 can deliver connectivity in remote and rural regions without building additional ground towers. The move represents another step in Starlink’s push beyond fixed broadband and into direct-to-device mobile services.

Virgin Media O2 chief executive Lutz Schuler shared his thoughts about the Starlink partnership. “By launching O2 Satellite, we’ve become the first operator in Europe to launch a space-based mobile data service that, overnight, has brought new mobile coverage to an area around two-thirds the size of Wales for the first time,” he said.

Satellite-based mobile connectivity is gaining traction globally. In the U.S., T-Mobile has launched a similar satellite-to-cell offering. Meanwhile, Vodafone has conducted satellite video call tests through its partnership with AST SpaceMobile last year.

For Starlink, the O2 agreement highlights how its network is increasingly being integrated into national telecom systems, enabling standard smartphones to connect directly to satellites without specialized hardware.

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