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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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Swedish unions consider police report over Tesla Megapack Supercharger
The Tesla Megapack Supercharger opened shortly before Christmas in Arlandastad, outside Stockholm.
Swedish labor unions are considering whether to file a police report related to a newly opened Tesla Megapack Supercharger near Stockholm, citing questions about how electricity is supplied to the site. The matter has also been referred to Sweden’s energy regulator.
Tesla Megapack Supercharger
The Tesla Megapack Supercharger opened shortly before Christmas in Arlandastad, outside Stockholm. Unlike traditional charging stations, the site is powered by an on-site Megapack battery rather than a direct grid connection. Typical grid connections for Tesla charging sites in Sweden have seen challenges for nearly two years due to union blockades.
Swedish labor union IF Metall has submitted a report to the Energy Market Inspectorate, asking the authority to assess whether electricity supplied to the battery system meets regulatory requirements, as noted in a report from Dagens Arbete (DA). The Tesla Megapack on the site is charged using electricity supplied by a local company, though the specific provider has not been publicly identified.
Peter Lydell, an ombudsman at IF Metall, issued a comment about the Tesla Megapack Supercharger. “The legislation states that only companies that engage in electricity trading may supply electricity to other parties. You may not supply electricity without a permit, then you are engaging in illegal electricity trading. That is why we have reported this… This is about a company that helps Tesla circumvent the conflict measures that exist. It is clear that it is troublesome and it can also have consequences,” Lydell said.
Police report under consideration
The Swedish Electricians’ Association has also examined the Tesla Megapack Supercharger and documented its power setup. As per materials submitted to the Energy Market Inspectorate, electrical cables were reportedly routed from a property located approximately 500 meters from the charging site.
Tomas Jansson, ombudsman and deputy head of negotiations at the Swedish Electricians’ Association, stated that the union was assessing whether to file a police report related to the Tesla Megapack Supercharger. He also confirmed that the electricians’ union was coordinating with IF Metall about the matter. “We have a close collaboration with IF Metall, and we are currently investigating this. We support IF Metall in their fight for fair conditions at Tesla,” Jansson said.
News
Tesla HW4.5 spotted in new Model Y, triggers speculation
Owners taking delivery of recent Model Y builds have identified components labeled “AP45.”
Tesla’s Hardware 4.5 computer appears to have surfaced in newly delivered Model Y vehicles, prompting fresh speculation about an interim upgrade ahead of the company’s upcoming AI5 chip.
Owners taking delivery of recent Model Y builds have identified components labeled “AP45,” suggesting Tesla may have quietly started rolling out revised autonomy hardware.
Hardware 4.5 appears in new Model Y units
The potential Hardware 4.5 sighting was first reported by Model Y owner @Eric5un, who shared details of a Fremont-built 2026 Model Y AWD Premium delivered this January. As per the Model Y owner, the vehicle includes a new front camera housing and a 16-inch center display, along with an Autopilot computer labeled “AP45” and part number 2261336-02-A.
The Tesla owner later explained that he confirmed the part number by briefly pulling down the upper carpet liner below the Model Y’s glovebox. Other owners soon reported similar findings. One Model Y Performance owner noted that their December build also appeared to include Hardware 4.5, while another owner of an Austin-built Model Y Performance reported spotting the same “AP45” hardware.
These sightings suggest that Tesla may already be installing revised FSD computers in its new Model Y batches, despite the company not yet making any formal announcements about Hardware 4.5.
What Hardware 4.5 could represent
Clues about Hardware 4.5 have surfaced previously in Tesla’s Electronic Parts Catalog. As reported by NotATeslaApp, the catalog has listed a component described as “CAR COMPUTER – LEFT HAND DRIVE – PROVISIONED – HARDWARE 4.5.” The component, which features the part number 2261336-S2-A, is priced at $2,300.00.
Longtime Tesla hacker @greentheonly has noted that Tesla software has contained references to a possible three-SoC architecture for some time. Previous generations of Tesla’s FSD computer, including Hardware 3 and Hardware 4, use a dual-SoC design for redundancy. A three-SoC layout could allow for higher inference throughput and improved fault tolerance.
Such an architecture could also serve as a bridge to AI5, Tesla’s next-generation autonomy chip expected to enter production later in 2026. As Tesla’s neural networks grow larger and more computationally demanding, Hardware 4.5 may provide additional headroom for vehicles built before AI5 becomes widely available.
Elon Musk
Elon Musk’s Grokipedia is getting cited by OpenAI’s ChatGPT
Some responses generated by OpenAI’s ChatGPT have recently referenced information from Grokipedia.
Some responses generated by OpenAI’s ChatGPT have recently referenced information from Grokipedia, an AI-generated encyclopedia developed by rival xAI, which was founded by Elon Musk. The citations appeared across a limited set of queries.
Reports about the matter were initially reported by The Guardian.
Grokipedia references in ChatGPT
Grokipedia launched in October as part of xAI’s effort to build an alternative to Wikipedia, which has become less centrist over the years. Unlike Wikipedia, which is moderated and edited by humans, Grokipedia is purely AI-powered, allowing it to approach topics with as little bias as possible, at least in theory. This model has also allowed Grokipedia to grow its article base quickly, with recent reports indicating that it has created over 6 million articles, more than 80% of English Wikipedia.
The Guardian reported that ChatGPT cited Grokipedia nine times across responses to more than a dozen user questions during its tests. As per the publication, the Grokipedia citations did not appear when ChatGPT was asked about high-profile or widely documented topics. Instead, Grokipedia was referenced in responses to more obscure historical or biographical claims. The pattern suggested selective use rather than broad reliance on the source, at least for now.
Broader Grokipedia use
The Guardian also noted that Grokipedia citations were not exclusive to ChatGPT. Anthropic’s AI assistant Claude reportedly showed similar references to Grokipedia in some responses, highlighting a broader issue around how large language models identify and weigh publicly available information.
In a statement to The Guardian, an OpenAI spokesperson stated that ChatGPT “aims to draw from a broad range of publicly available sources and viewpoints.” “We apply safety filters to reduce the risk of surfacing links associated with high-severity harms, and ChatGPT clearly shows which sources informed a response through citations,” the spokesperson stated.
Anthropic, for its part, did not respond to a request for comment on the matter. As for xAI, the artificial intelligence startup simply responded with a short comment that stated, “Legacy media lies.”
