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Porsche Taycan showcases track abilities beside high-performance cars in the Nurburgring

[Credit: cvdzijden - Supercar Videos/YouTube]

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Porsche has been very vocal about its aim to ensure that the Taycan, its first all-electric car, would be at home on the racetrack. Porsche’s gasoline-powered cars are famed for their performance and their “soul,” and the company has maintained that the Taycan would be no different.

This means that the upcoming electric four-door sedan would have to be proficient and tuned enough to handle the world’s most challenging racecourses. To accomplish this, Porsche has been taking some of the Taycan’s camouflaged prototypes to one of Germany’s most iconic tracks — the Nurburgring. The intense, twisting 12.93-mile racetrack is famed for its difficulty, resulting in an adage which states that “if a vehicle runs on the Nurburgring, it can run anywhere.”

Just recently, the Porsche Taycan was sighted sharing the famous racetrack with some of Germany’s most iconic high-performance cars, as well as a number of fellow camouflaged prototypes from Audi, BMW, and Mercedes-Benz, to name a few. A video of the vehicles was posted by YouTube’s cvdzijden – Supercar Videos channel, which shares clips of vehicle testing sessions in the racetrack.

The recent Nurburgring session is part of the Industry Pool, an initiative that involves more than two dozen OEMs, all of which combine financial resources to rent out the racetrack four days a week, 16 weeks a year (usually two weeks/month between April and October). In true Industry Pool fashion, several unreleased vehicles could be seen aggressively tackling the turns of the track, but among all of the cars, the Taycan stands apart due to its stealthy way of hugging turns and then exploding forward with its instant torque.

Porsche’s approach to refining the track capabilities of the Taycan is indicative of its experience in the auto industry. Over the past months, the automaker has been taking its camouflaged Taycan prototypes to the Nurburgring for track sessions. This approach seems to be a little bit different from Tesla and its Track Mode for the Model 3 Performance, which was largely developed in-house and heavily software-based. Tesla CEO Elon Musk dubbed Track Mode as an “Expert User Mode” for the electric car, in the way that it would allow drivers to tweak their vehicles’ settings according to their preferences.

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The Porsche Taycan is expected to be marketed as a competitor for the Tesla Model S, but its listed specs are more comparable to the Model 3 Performance. The German automaker states that the Taycan would be able to accelerate from 0-60 mph in 3.5 seconds, eventually hitting a top speed of 155 mph. The vehicle is also expected to feature a 310-mile range per charge, and it would be supported by Porsche’s upcoming Charge Parks, a fast-charging network not unlike Tesla’s Superchargers.

Porsche seems to be the one legacy automaker that is really committed to its electric car push. While companies like Jaguar and Mercedes-Benz have released electric vehicles, neither one has announced a dedicated charging infrastructure for their cars. That said, this is not to say that everything about the Taycan is going well.

The company plans to build the Taycan at its Zuffenhausen facility in Stuttgart, Germany, a location that also manufactures the Porsche 911, 718 Boxster, and the 718 Cayman. Last July, Porsche head of production Albrecht Reimold noted that it is quite difficult to find a location to set up the Taycan’s assembly lines in the facility, especially considering the work that would have to be done to transform the factory and optimize it for the electric car’s production. Ultimately, Porsche aims to build 20,000 Taycans per year when the vehicle enters production, which is expected to begin in 2019.

Watch the Porsche Taycan fit right in with other high-performance cars in the video below.

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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’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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