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Tesla Autopilot’s 4D upgrade could lead to more FSD features
Tesla CEO Elon Musk stated that the company’s Autopilot systems are being upgraded to 4D, which will improve the performance and capabilities of the semi-autonomous driving function. Currently, Autopilot is operating with “~2.5D,” Musk said.
The developments came from a question that was asked by a Twitter follower of Musk’s who has issues using Tesla’s Summon feature on his driveway. Summon allows owners to retrieve their vehicles by using their Smartphones. By holding the “COME TO ME” button within the Tesla app, the car will use GPS vectoring to travel to the location of the phone.
Summon is a part of Tesla’s Full Self-Driving suite. But, the rework of Autopilot’s dimensional upgrade is apart of something much bigger. Perhaps it deals with a complete rewrite of Autopilot that will extend the company’s FSD features.
We need to finish upgrading Autopilot to 4D vs ~2.5D, then it will go up very steep slopes
— Elon Musk (@elonmusk) July 22, 2020
However, the owner stated that the grade of his driveway is slightly steeper than 10%, which inhibits the vehicle from traveling up roads that have inclines. The steepness of the slope, along with normal transitions from a street to a driveway, can present issues for Tesla’s Autopilot. This could be due to the lack of information that Tesla’s Neural Network has for navigating these environments.
With that being said, Tesla is developing a 4-dimensional system for Autopilot. The development of new elements for Autopilot to comprehend the surroundings and road environment of the vehicle could lead to more drastic improvements and an increasingly accurate comprehension of the roads a vehicle travels on.
Tesla’s currently Autopilot suite uses ~2.5D, Musk said. Now, it uses two-dimensional images along with labels, which could account for the around 2.5 dimensions that Musk spoke of in the tweet.
Adding dimensions to the Autopilot system will simply increase the accuracy of how the car reacts in certain situations. Currently, Tesla uses images from Autopilot cameras that are labeled with information. Tesla could use 3-dimensional stereoscopic scenes that are reconstructed from video, along with timestamps to improve accuracy.
A few members of the Tesla community put their two cents in on what the 4-dimensional Autopilot system could entail.
Reddit user u/__TSLA__ stated that curating a massive series of traffic scenarios and objects that a car might encounter during a drive could improve the accuracy of Autopilot and Tesla’s self-driving capabilities.
However, another Reddit user, u/Semmel_Baecker, said that 4D could mean that the Autopilot cameras could build a real-time 3D environment and then predict the movements of labeled objects in 4D based on past behaviors of other vehicles. This strategy would effectively use the Neural Network to learn the reactions of other drivers or objects.
Tesla continues to develop Autopilot behaviors to eventually release a “feature complete” Full Self-Driving suite in the future. The electric automaker continues to release patents that aim to build a more accurate Autopilot system that will accelerate the company’s journey toward Level 5 Autonomy, which Musk says is coming soon.
Most recently, Tesla submitted a patent titled, “Enhanced Object Detection for Autonomous Vehicles Based on Field View,” that would crop important objects in images and increase the resolution of those images. If pedestrians, vehicles, or other objects are available in an image, they would be available at an increased resolution to improve the accuracy of Autopilot.
Tesla’s exact plans for an Autopilot upgrade to 4-dimensional imagery is unknown. The increased accuracy is necessary for the company’s cars to drive in any environment. Tesla will soon release FSD’s “Driving on City Streets” function, which will complete the suite.
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.”
Elon Musk’s X will start using a Tesla-like software update strategy
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
