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Porsche Taycan’s repeatable performance claims put to the test by veteran drag racer
When Porsche launched the Taycan last year, its message was clear. It’s an all-electric performance car built for the track. You can take it with a battery half charged and you’ll still get the same level of performance you’d expect at full charge. At least that’s what Porsche promises.
DragTimes YouTube channel host and Tesla owner Brooks Weisblat recently put the Taycan Turbo’s repeatable performance claim to a real-world test. He took a Taycan Turbo and the more powerful Turbo S out on the track to see how they would perform launching from 0 to 60 mph and covering the 1/4 mile.
Weisblat specifically asked the engineers at Champion Porsche in Pompano Beach, FL to have both cars ready at full charge. However, while the Turbo had a 91% charge when he arrived, while the Turbo S was only at 57%. This presented a unique opportunity to test just how well the vehicles performed with such discrepancy in their battery levels.
At just a little bit more than half charge, the $185,000 Turbo S went from 0 to 60 mph in 2.67 seconds and ran a quarter-mile at 124 mph. It’s impressive for an all-electric vehicle but not so much for one housing the world’s first two-speed gearbox in an electric car.
“I kind of expected it to be a little better especially given it having the transmission,” Weisblat says. “I was expecting track speeds near 130 mph. The launch I wasn’t so sure because Porsche’s claiming it does 0 to 60 in 2.8 seconds.”
Previous testing done by DragTimes shows the Tesla Model S with a 96 percent charge can go from 0 to 60 mph in 2.45 seconds. That’s a couple of tenths of a second faster than the Turbo S, which has acceleration and speed advantages due to its two-speed transmission.
The Turbo, which has 90 less horsepower than the Turbo S, went from 0 to 60 mph at 2.8 seconds. It’s not as fast as the Turbo S but it’s nothing to scoff at. But here’s the kicker. After the first 60 mph, the Turbo S didn’t have much of an advantage over the less powerful Turbo. If the state of charge doesn’t matter as Porsche says, the Turbo should have at least similar or less performance.
But Weisblat’s testing shows the Turbo at 91% charge went from 60 to 100 mph in 8.41 seconds and took the 1/4 mile at 127 mph. That’s a whole 3 mph faster than the Turbo S, which was at 56% charge when testing began. Had both cars been raced against each other, the Turbo would have won hands down over the Turbo S. Weisblat also says that both Turbo and Turbo S used up about 2% of the battery after each 1/4 mile.
“State of charge does matter with the Porsche. There’s no question about it. Because the Taycan Turbo S sitting at 56 percent is tracking at 124 mph. The Turbo at 91 percent is going 3 mph faster. For those of you who don’t know about road racing or drag racing, that is a significant difference,” he said.
The results would have been different had both cars been charged fully. Weisblat estimates the Turbo S could go the 1/4 mile at 130 mph and launch from 0 to 60 mph at around 2.5 seconds so that it’s right in line with the Tesla Model S. However, he believes that the Turbo S would further drop to 7 seconds once it goes from 60 to 130 mph, just up to par with a Lamborghini Huracan. If so, he says the Model S could be “in trouble,” at least when you take it down to the race track.
To maintain these numbers, Porsche has to keep the Taycan’s battery at optimal temperatures using a unique battery thermal management system. Unfortunately, because the car relies purely on electricity, the Taycan uses up extra energy from the battery just to maintain its energy-intensive temperature control system.
It’s a double-edged sword, especially for an electric vehicle. Porsche had to sacrifice a few things in exchange for performance. A lot of people weren’t happy to hear that the EPA gave the Taycan Turbo S a range rating of 192 miles. The Taycan Turbo didn’t do much better at 201 miles, which is 182 whole miles less than the 373 miles of the Model S Long Range.
But then again, the Taycan isn’t exactly made for most people. In fact, with a six-figure price tag and the Porsche logo on its hood, it’s not even made for mainstream EV buyers. And it’s a good thing for the electric car market as a whole.
Elon Musk
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.
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.
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.
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.
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.
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.
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.”