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Tesla Model S vs Porsche Taycan comparison finally hits the nail on the head

(Credit: CNET Roadshow/YouTube)

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For the longest time, the Tesla Model S and the Porsche Taycan have been compared in a manner that one would not necessarily be considered completely fair. Some would focus on the badge and build quality and automatically give the win to Porsche, while some would focus on tech and driver-assist features and give the win automatically to Tesla. But giving the crown of the best luxury EV on the market today is no joke, and comparing these two vehicles requires a deep dive. 

This is something that Roadshow was actually able to accomplish recently. In a video shared on its YouTube channel, the motoring publication compared the Model S and the Taycan on five fronts: Range and Charging, Acceleration, Handling, Design, and Price and Value. Using this metric, the publication was able to reach a result that is actually very fair to both vehicles. 

First up is range and charging, and in this sense, there is really no contest. Tesla’s years of work on battery research has paid off in spades, and this is shown by the Model S’ nearly 400-mile range. The Supercharger Network is icing on the cake, providing the Model S with a convenient way to charge its batteries during road trips. The Taycan has a tendency to exceed its EPA range figures, and it’s supported by a vast charging network too. But compared to Tesla’s raw range and Supercharger Network, the gap is simply too big. One win for Tesla. 

Acceleration is something that both vehicles excel at. In this sense, Roadshow noted that the top-tier versions of the two premium EVs, the Model S Performance and the Taycan Turbo S, are both insanely quick. The Taycan Turbo S is rated by Porsche with a 0-60 time of 2.6 seconds, but tests from publications have recorded the vehicle hitting 2.4 seconds instead. This was originally faster than the Model S Performance’s 2.5 seconds, but after Tesla’s Cheetah Stance Launch Mode update, the flagship sedan could now hit 60 mph in 2.3 seconds instead. That’s another win for Tesla, but only just. 

Things change when handling is discussed. While both are large vehicles, Roadshow noted that the Taycan simply feels much better to throw around corners. This is where Porsche’s pedigree comes to light as a veteran sports car maker, since the Taycan simply feels a lot lighter than its over 5,000-pound weight. The Model S Performance handles great too, but when thrown into the same corners at the same speed as the Taycan, the Tesla’s large size simply becomes more evident. The Taycan wins this round.

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Design is also something that was given to the Porsche. After all, the Model S has pretty much retained its design since its first iteration that was rolled out eight years ago. Save for a facelift, the Model S is still the same car that broke barriers back in 2012. Thus, the Taycan simply feels much newer and more fresh in this sense. The fact that the Taycan’s interior is filled to the brim with premium materials worthy of its price also adds to its edge against the Tesla Model S. 

But when it comes to the price and value of the two vehicles, it is difficult not to be impressed by the Tesla Model S. Roadshow opted to compare the Taycan 4S and the Model S Long Range, which are the more conservatively priced and specced versions of the two cars. But even then, a fully loaded Model S Long Range is still cheaper than a Taycan 4S that is so basic, it doesn’t even have adaptive cruise control. This, ultimately, proves that eight years on, Tesla’s flagship sedan still has a lot of fight left in it, and it’s not about to give up its crown easily either. 

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’s X will start using a Tesla-like software update strategy

The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.

The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.

X’s updates to its updates

As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks. 

“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.

The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.

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xAI and X

X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award. 

As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.

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Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award

The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.

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Credit: Grok Imagine

Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards

The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close. 

MotorTrend reverses course

MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.

According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.

Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.

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High cost and high capability

MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.

Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.

Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.

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Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia

The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.

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UK Government, CC BY 2.0 , via Wikimedia Commons

Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles. 

The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.

Grokipedia’s rapid growth

xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias. 

At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”

Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.

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Elon Musk’s ambitious plans

With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2. 

Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos

“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”

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