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Volkswagen, a rocky $50B EV bet, and the bid to chase Tesla’s software prowess
Among the old guard of the automotive industry, very few could hold a candle to Volkswagen, which has initiated a $50 billion bet on electric vehicles. The plan, it seemed, was aimed at ensuring that the veteran automaker could catch up to Tesla, a dedicated EV maker that has made a name for itself by releasing vehicles that receive over-the-air updates on a regular basis.
Yet as the first result of Volkswagen’s dedicated EV efforts, the ID.3, rolled off the assembly line, it became clear that releasing software-driven electric cars was not as simple as building the next iteration of the Golf. When the ID.3 was released, the vehicle was incomplete. It could drive, turn corners, and basically do anything that regular cars are expected to do. Software-wise, however, it was nowhere near done. Features that were promised were absent, and promised capabilities such as over-the-air updates were unavailable.
Even the ID.3’s heads-up display, a feature that is not present in rivals like the Model 3, didn’t function. Early users of the vehicle also reported hundreds of software bugs. By June last year, Volkswagen decided to delay the ID.3’s launch and sell the first batch of the cars without full software. The vehicles are expected to receive an update that would provide the ID.3 with its full feature set, but the initiative will require a service visit around February 2021.
As noted in a report from The Wall Street Journal, Volkswagen’s issues with the ID.3 were the result of the veteran automaker not being proficient in software. For years, industry analysts and leaders alike have suggested and peddled the “Tesla Killer” narrative, suggesting that once the big players of the auto industry get serious about electric vehicles, Elon Musk’s EV startup would be completely overrun. As it turned out, building electric cars was not as simple. Just because a company can produce good gas and diesel-powered cars does not mean that they can produce good EVs.
Karsten Michels, a senior engineer for Continental AG, one of the firms which Volkswagen tapped to develop the ID.3’s software, noted that the gravity of the task surrounding the development of custom vehicle software was underestimated. “Maybe we underestimated how much work is involved and how little we could actually rely on existing legacy software,” Michels said.
Peter Rawlinson, CEO of Lucid Motors, expressed his thoughts on the situation. “(Ever since Tesla launched its first car in 2008) there was this feeling that the really serious players are going to come. Now, the Germans have finally come, and they’re not as good as Tesla,” he remarked.
Volkswagen, for its part, seems to be taking the lessons it learned during the ID.3 rollout and is applying it for the release of the ID.4, a crossover SUV that could rival the Tesla Model Y. Herbert Diess, the Chairman of the Board of Management of Volkswagen Group and an executive who has struck a friendship of sorts with Tesla CEO Elon Musk, initiated efforts to overhaul the company’s software strategies. If successful, the ID.4, which will be produced in Europe, China, and the United States, would deliver on the promises set forth by the ID.3.
Ultimately, Volkswagen has learned a notable yet painful lesson during the ramp of the ID.3, the most notable of which is that software is something that legacy automakers still need to work on. Granted, software has been running in gas-powered cars for years, with average vehicles including dozens of parts with chips that are designed to perform specific tasks. EVs, however, require a different type of software, one that is more akin to those used by smartphones today. With electric cars, in-vehicle software becomes the heart of the vehicle, with updates becoming the equivalent of service visits in a gas-powered car. In-vehicle software today is never complete as well, as they must always be open to improvements.
Danny Shapiro, senior director of automotive at Nvidia, related his thoughts on the complexity of in-vehicle software. “The key here is taking this distributed system in the car, dozens if not hundreds of applications, and centralizing everything. This is very complex, especially with a car where the safety level is critical. You can’t just flip a switch and be a software company,” he noted.
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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.
News
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.
News
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
