Connect with us

News

Audi e-tron customers face more delivery delays, fines for canceled orders: report

Published

on

As Audi starts delivering the e-tron all-electric SUV to customers, some reservation holders in Norway are complaining over extra delays in vehicle deliveries. One e-tron reservation holder even reported to Norwegian media that he was faced with a fine when he attempted to cancel his order for the vehicle.

Around 7,000 Norwegians placed reservations for the Audi e-tron since it was unveiled last year, but the deliveries of the all-electric SUV have been slower than expected. Amidst large orders for the vehicle and limited supplies of components such as batteries, Audi has faced challenges in the SUV’s rollout. Roar Lauvstad, a reservation holder for the e-tron, noted in a statement to news publication Tek.no that he had been informed of a possible six-month extra wait time for his order, despite deliveries of the SUV already beginning in the country.

Audi has rolled out a “Fast Track” system for Norway, which allows immediate delivery of the e-tron provided that reservation holders order a specific variant of the SUV. The starting price of the e-tron in the country is listed at around NOK 650,000 (around $74,000), but the “Fast Track” variant, the Audi e-tron 55 Advanced Plus, costs around NOK 840,000 (around $95,000). This, according to Lauvstad, forces reservation holders like himself to either select a more expensive version or wait several more months for the actual variant he selected.

Unfortunately, Lauvstad met an unexpected roadblock when he attempted to cancel his e-tron order. According to the reservation holder, he was informed that be would be facing a fine amounting to 8% of his order’s purchase price. “I could break the contract (or) buy a Fast Track car, but I couldn’t just break the contract. They would then have 8% (around $6,800) of the purchase price of around NOK 750,000 (around $85,000) for breach of contract. So now I’m still waiting,” he said (translated using Google Translate).

Audi’s delays with the rollout of the e-tron come amidst reports that the German automaker is running into issues with the supply of the SUV’s batteries, which are sourced from LG Chem, the same company that provides cells for other EVs like the Porsche Taycan and the Jaguar I-PACE. Citing unnamed sources, The Brussels Times reported last month stated that Audi is only operating the e-tron’s production facilities 6 hours a day. Audi’s plant in Györ, Hungary, which produces the e-tron’s electric motors, are reportedly seeing delays as well, partly due to the effects of a workers’ strike earlier this year.

Advertisement
-->

Audi’s growing pains with the ramp of the e-tron echo some of the struggles that Tesla faced when it was starting the production of its vehicles. The Tesla Model X was noteworthy for being delayed due to its design and over-the-top tech, and the Model 3 ramp was aptly described by Elon Musk as production hell. Based on what Audi is experiencing with the e-tron, it appears that even experienced automakers are bound to go through some pains as they learn how to build competitive electric cars.

One thing that appears to be different between Tesla and Audi is how the companies manage requests for cancelation among reservation holders. While Audi seems to have included a penalty in the fine print of its e-tron reservations, Tesla has allowed order cancellations that are practically worry-free. As noted by Elon Musk, orders for Tesla’s electric cars are still fully refundable even after seven days or 1,000 miles.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

Published

on

Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

Advertisement
-->

FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

Continue Reading

News

Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Published

on

Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

Advertisement
-->

This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

Continue Reading

Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

Published

on

Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

Advertisement
-->

Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

Continue Reading