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Top Gear doubles down on Tesla vs Porsche race, claims Model S’ actual results are worse

(Credit: Top Gear/YouTube)

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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. 

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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. 

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.

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 expands driverless Robotaxi geofence in Austin

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Credit: @JoeTegtmeyer/X

Tesla has expanded the operational geofence for its driverless Robotaxi service in Austin, Texas, marking the first such increase in some time. The updated Service Area for Robotaxi in Austin now spans about 288 square miles and is roughly 9 percent larger than the previous boundary.

This incremental growth adds approximately 24 square miles of coverage, bringing the prior zone of roughly 264 square miles into a broader footprint that better serves northern suburbs.

The expansion extends the geofence northward toward Pflugerville along the US 183 corridor, incorporating additional neighborhoods north of the Domain and areas such as Mesa Park. These additions include higher-end residential and commercial districts that previously sat just outside the allowed operating zone.

Riders can now request unsupervised trips that begin or end in these newly included locations, provided the entire route remains inside the digital boundary:

Tesla first launched public Robotaxi operations in Austin in mid-2025 with a modest initial zone of about 20 square miles. Subsequent enlargements in 2025 and early 2026 steadily grew the map until it covered much of the metropolitan area.

After the last major update roughly ten months earlier, the company held the boundary steady while it collected additional miles and refined the FSD suite.

The modest nine percent increase still matters for daily utility. Longer trips become possible, more residents gain access, and the fleet can accumulate more diverse real-world data across new road types and traffic patterns. Observers note that the added territory aligns with existing Tesla service infrastructure, which could support more efficient vehicle staging in the North end of Austin.

Although the geofence has grown, Tesla continues to operate a relatively small unsupervised fleet in the city. The company has emphasized safety and software readiness over rapid geographic scaling. This latest map update signals that Tesla remains committed to expanding Robotaxi availability in its home market as it prepares for further software improvements and potential Cybercab deployments.

The 288-square-mile zone now gives Austin riders one of the larger driverless service areas currently available in the United States.

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Elon Musk’s Grok can basically control anything in your Tesla now

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Credit: Tesla

Tesla’s 2026 Summer Update turns Grok from a talking companion into a true in-car controller, with considerably expanded capabilities. Where the assistant once answered questions and handled navigation, it can now operate hardware and software through ordinary speech, including several requests at the same time.

Grok has become incredibly robust over the past few quarters, and this new ability that Tesla has included with its Summer Update is perhaps the clearest sign of just how capable it has become.

You can issue many commands to Grok at once, and each will be taken care of: anything from headlight control to climate adjustments to mirror folding can now all be taken care of with a simple sentence spoken toward Grok:

Here’s another example I used in my Model Y:

Tesla’s official Release Notes list the core powers of Grok’s new capabilities: Grok can place phone calls from a paired phone, search a streaming service and queue music, adjust climate, and search the Controls panel. Drivers can also ask it questions about the vehicle or the latest features included in a recent software update.

It can also take care of driving settings, dynamics, and other relevant preferences that deal with how the car operates and handles.

Tesla Summer Update begins rolling out: a look at the new features

It’s also more of a use case than a novelty feature. Grok was great for learning about something that was being pondered while Full Self-Driving was taking care of the major automotive responsibilities, but it did have some useful functionality when it came to navigation.

Another less-noted improvement is the swift transition that Grok has from thinking of its answer to giving you one. In the past, it would take a few seconds for Grok to truly come up with a valuable response. It now seems that it is improving, at least slightly.

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Tesla is fixing Full Self-Driving’s pothole problem

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Tesla Model Y L in a field
Credit: Tesla

Tesla Full Self-Driving is set to get a major fix with pothole avoidance, a feature that CEO Elon Musk said recently was “coming soon.” The feature has been included within the FSD v14 release notes for some time as an upcoming improvement.

Potholes come in all shapes and sizes, but one thing is universal about them, and that is the fact that every driver wants to avoid them. Driving into or over a pothole can cause tire and wheel damage, alignment issues, and even, in some more severe instances, injury to occupants or major damage to a vehicle in despair.

Tesla Cybercab uses a unique strategy for picking up the right rider

Musk said late last night in a post that pothole avoidance while utilizing the Full Self-Driving suite is “coming soon.”

Full Self-Driving, even in its most recent and robust forms, still has its shortcomings. While the suite has performed exceptionally well with avoiding on-road obstacles like cardboard boxes, horse droppings, car parts, and other debris, it still seems to struggle with recognizing certain things.

Potholes and other abrupt changes in a road’s layout are things that FSD still tends to struggle with. Perhaps the suite’s 3D modeling is still in need of some additional data or some sort of script that will help it to avoid a potentially destructive pothole or bump in the road that would be easily recognizable by the human eye.

Musk has mentioned pothole avoidance for some time, with the initial idea coming in April 2019 when an owner first requested the feature. Musk said that Tesla would “definitely” develop pothole avoidance.

In August 2020, Musk said Tesla was in the process of labeling bumps and potholes so cars can either slow down or steer around them altogether.

Tesla to utilize micro maps for pothole-detection in future update

Avoiding major disturbances in the road is a necessary feature for Full Self-Driving to have, especially as Tesla is working toward a fully autonomous program that will eventually allow every occupant in the vehicle to sleep, work, or enjoy leisure time while traveling.

That truly begins this week with the launch of Cybercab on Thursday.

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