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Tesla Model 3 driven by the father of Track Mode breaks Plaid Model S’ lap record
Last year, Tesla shocked the electric vehicle world when it revealed that it had a Plaid Model S prototype that could be taken and pushed to its limits at the track. The vehicle, which was driven by a member of the Tesla development team, absolutely crushed the previous records set by four-door sedans at Laguna Seca, completing the tricky course in just 1:36.555.
This record, set by the formidable Plaid Model S, has now been broken. Surprisingly enough, the record was actually beaten by an upgraded version of its little brother, the Model 3 Performance. The Model 3 Performance definitely lacked the raw power of the tri-motor Model S, but it sure made up for it with clever mods and a master driver behind the wheel. The Model 3’s driver was Randy Pobst, a professional racer driver and, in a way, the father of Track Mode.
Back in October 2018, the Tesla Model 3’s development version of Track Mode was driven by Pobst against the Jaguar I-PACE EV400 and one of the best ICE cars available then, the Alfa Romeo Giulia Quadrifoglio. The development version of Track Mode performed well, and it toppled the I-PACE EV400 easily enough. It was, however, not enough to beat the Alfa Q4. Tesla then spent the next weeks working with Pobst to refine Track Mode’s setting and features, which were later rolled out as the release version of the special setting. With Track Mode’s release version, the Model 3 Performance was able to crush the Alfa Romeo Q4’s time easily.
Perhaps it is this experience and his intimate knowledge of the Model 3 Performance’s capabilities that allowed Randy Pobst to push the all-electric sedan to its absolute limits. Or perhaps it is the vehicle’s modifications from EV tuning house Unplugged Performance, which equipped the vehicle with both consumer and prototype parts from its Ascension-R package. Either way, the Model 3, driven by the driver who tuned its BMW M3-killing feature, completed a lap around the Laguna Seca raceway in 1:35.790.
What is even more interesting is that the Model 3 Performance was not specifically tuned for Laguna Seca. The vehicle is actually being prepared for the Pikes Peak Hill Climb, so its runs at Laguna Seca were simply a way to test the vehicle’s capabilities. The Model 3 even had a weight penalty during its record-breaking run, since it was equipped with a 160-lb roll cage that was mandatory for Pikes Peak. Even Pobst himself only flew in from the East Coast for 24 hours to test the vehicle.
In a statement to Teslarati, Unplugged Performance CEO Ben Schaffer expressed his excitement at the results of the Model 3 Performance’s Plaid-breaking lap. “Our expectations at Laguna Seca were simply to validate the car with Randy and to make sure we are safely dialed in for Pikes Peak. It definitely shocked us all when we beat the lap time of the mighty Plaid Model S prototype in our Model 3. The crazy thing is that we still have a lot of additional modifications being prepared and we’ve not come near the car’s full potential with our upgrades yet!” he said.

Now, one has to imagine just how fast the Plaid Model S could go around Laguna Seca with a professional driver like Randy Pobst behind its wheel. That run would likely be one for the books.
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.”