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Tesla Autopilot twists and turns through complex Sin City construction zone on its own
The owner of a Tesla Model S released footage of his electric sedan seamlessly navigating on Autopilot through the sharp and narrow twists and turns of a construction zone.
Model S owner Fred Hassen was traveling on South Las Vegas Boulevard in the “Sin City” while using the vehicle’s Navigate on Autopilot feature as part of the Full-Self Driving suite. The Model S car managed to recognize the confusing lane shifts and road changes and navigate through the cones and safety barrels that were set up by local construction crews. Hassen seemed pleased by his car’s flawless navigation through the make-shift lanes, as can be heard in his video.
The appearance of traffic cones and traffic light indicators on the Model S’ instrument cluster suggests that the vehicle is equipped with Tesla’s latest Hardware 3 and capable of responding to red traffic lights and stop signs, including automatically stopping.
Autopilot progress in clearly marked construction zones is mighty impressive https://t.co/tb1tsuRQaD
— TREV PAGE (@Model3Owners) April 23, 2020
Navigate on Autopilot is one of the most sophisticated driver-assistance features in the automotive industry today. The suite is capable of performing lane changes, navigating through on and off-ramps, and helping drivers make their way through confusing construction zones. The development of Tesla’s software for its self-driving features helps the company work toward a “feature complete” Full Self-Driving suite, which aims to revolutionize the act of driving for every owner in the world.
Tesla’s Artificial Intelligence and Autopilot systems were broken down by Andrej Karpathy, Director of the company’s AI team. Karpathy explained that Tesla’s use of vehicle cameras and artificial intelligence trains its neural network to help cars respond to road conditions safely and accurately. Tesla’s fleet of 1,000,000 vehicles uses “raw images to perform semantic segmentation, object detection, and monocular depth estimation,” according to its website. These images are then used as data to improve the safety of Autopilot.
The data compiled by the fleet of Tesla vehicles is critical to Tesla’s teams who determine improvements that need to be made within the company’s self-driving software. Tesla vehicles likely travel through construction zones every day, but the performance of the cars continues to improve through its continuously-learning Neural Network.
In the past, a Tesla hacker known as “green” has showed Tesla Autopilot’s thought process when navigating through construction zones.
and finally a bit of construction zone (this is the only one of the set where AP is actually on), nothing groundbreaking since it was widely reported already long ago, but still interesting to see it "from the inside": pic.twitter.com/TmGkqhGPQz
— green (@greentheonly) November 7, 2019
The technology seems to recognize cones as the guidance point for the lane, forgetting about painted “on-road” lines when construction zones are concerned. The car understands that the standard path of travel is obsolete because of construction. Autopilot instead uses the cones lined up on both sides of the lane as the new guidance markers for travel. This video is from a previous version of firmware, so the program has improved since then as more data has entered the Neural Network.
Tesla initial plans were to release the “feature complete” FSD suite by the end of 2019, but the program was not ready for a full release. After the company release Stop Sign and Traffic Light recognition in mid-April, all that is left for Tesla to unveil is city driving. As the cars seem to be navigating through tricky construction zones with relative ease, city street driving could roll out soon.
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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.”
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Tesla Model 3 becomes Netherlands’ best-selling used EV in 2025
More than one in ten second-hand electric cars sold in the country last year was a Tesla Model 3.
The Tesla Model 3 became the most popular used electric car in the Netherlands in 2025, cementing its dominance well beyond the country’s new-car market.
After years at the top of Dutch EV sales charts, the Model 3 now leads the country’s second-hand EV market by a wide margin, as record used-car purchases pushed electric vehicles further into the mainstream.
Model 3 takes a commanding lead
The Netherlands recorded more than 2.1 million used car sales last year, the highest level on record. Of those, roughly 4.8%, or about 102,000 vehicles, were electric. Within that growing segment, the Tesla Model 3 stood far ahead of its competitors.
In 2025 alone, 11,338 used Model 3s changed hands, giving the car an 11.1% share of the country’s entire used EV market. That means more than one in ten second-hand electric cars sold in the country last year was a Tesla Model 3, Auto Week Netherlands reported. The scale of its lead is striking: the gap between the Model 3 and the second-place finisher, the Volkswagen ID3, is more than 6,700 vehicles.
Rivals trail as residual values shape rankings
The Volkswagen ID.3 ranked a distant second, with 4,595 used units sold and a 4.5% market share. Close behind was the Audi e-tron, which placed third with 4,236 registrations. As noted by Auto Week Netherlands, relatively low residual values likely boosted the e-tron’s appeal in the used market, despite its higher original price.
Other strong performers included the Kia Niro, the Tesla Model Y, and the Hyundai Kona, highlighting continued demand for compact and midsize electric vehicles with proven range and reliability. No other model, however, came close to matching the Model 3’s scale or market presence.
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Tesla Model Y Standard Long Range RWD launches in Europe
The update was announced by Tesla Europe & Middle East in a post on its official social media account on X.
Tesla has expanded the Model Y lineup in Europe with the introduction of the Standard Long Range RWD variant, which offers an impressive 657 km of WLTP range.
The update was announced by Tesla Europe & Middle East in a post on its official social media account on X.
Model Y Standard Long Range RWD Details
Tesla Europe & Middle East highlighted some of the Model Y Standard Long Range RWD’s most notable specs, from its 657 km of WLTP range to its 2,118 liters of cargo volume. More importantly, Tesla also noted that the newly released variant only consumes 12.7 kWh per 100 km, making it the most efficient Model Y to date.
The Model Y Standard provides a lower entry point for consumers who wish to enter the Tesla ecosystem at the lowest possible price. While the Model 3 Standard is still more affordable, some consumers might prefer the Model Y Standard due to its larger size and crossover form factor. The fact that the Model Y Standard is equipped with Tesla’s AI4 computer also makes it ready for FSD’s eventual rollout to the region.
Top Gear’s Model Y Standard review
Top Gear‘s recent review of the Tesla Model Y Standard highlighted some of the vehicle’s most notable features, such as its impressive real-world range, stellar infotainment system, and spacious interior. As per the publication, the Model Y Standard still retains a lot of what makes Tesla’s vehicles well-rounded, even if it’s been equipped with a simplified interior.
Top Gear compared the Model Y Standard to its rivals in the same segment. “The introduction of the Standard trim brings the Model Y in line with the entry price of most of its closest competition. In fact, it’s actually cheaper than a Peugeot e-3008 and costs £5k less than an entry-level Audi Q4 e-tron. It also makes the Ford Mustang Mach-E look a little short with its higher entry price and worse range,” the publication wrote.