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Audi e-tron will ‘give Tesla shoppers a run for their money,’ says Consumer Reports
When Consumer Reports published its first impressions of the Audi e-tron, the organization proved quite optimistic about the German carmaker’s all-electric SUV. In a recently uploaded video, Consumer Reports‘ Mike Quincy, Jon Linkov, and Jennifer Stockburger provided more insights about their experience with the e-tron, covering several aspects of the vehicle such as its design, its range, and how it stacks up in comparison to the Tesla Model X.
Consumer Reports auto journalist Mike Quincy praised the vehicle, noting that the Audi e-tron is the “nicest EV I’ve ever driven” to date. “I like it more than any of the Teslas we’ve driven,” he said. The e-tron also earned some applause for its design, such as its rather conventional interior that follows the theme of Audi’s other vehicles. The SUV’s spaciousness and quietness on the road were also lauded.
The driving dynamics of the vehicle also received some praise, with Director of Operations at the CR Auto Test Center Jennifer Stockburger noting that the SUV performs very well as soon as it’s in motion. Commenting further, Consumer Reports Deputy Content Editor Jon Linkov stated that contrary to the snap of acceleration found in Tesla’s electric cars like the Model S, the Audi e-tron has “more of an elegant pull-away.”
Consumer Reports did have a number of negative comments about the e-tron, particularly on its range and price. At $80,000, Quincy noted that the e-tron seems too expensive for a vehicle that features such a limited range, though it was mentioned that perhaps the SUV’s real-world range was being underestimated. Other quirks of the SUV, such as a gear shifter that is a magnet for wrong inputs, were also mentioned as points for improvement. Linkov, for his part, argued that perhaps the limited range of the e-tron would be a non-issue for its target demographic.
“It may be that the market for this doesn’t take family road trips. They may fly. Electric cars today still make a case, particularly $80,000 ones, for a second car. Now there are a lot of people out there, and there are stories online about people, they own a Chevy Bolt, or they own a Leaf, and that’s their only car, and they still run into those headaches of ‘my gosh, I have to stop and charge it’ and it certainly is a case today depending on what you want out of an electric car,” he said.
In conclusion, Consumer Reports remained quite optimistic about the e-tron’s chances on the market, particularly as it is coming from a well-known company that’s known for good quality vehicles. This, according to Stockburger, is something that Tesla buyers might not have yet. “Do I think it’s gonna give Tesla shoppers a run for their money? Oh yeah. And I think there’s a confidence to be had from a mainstream manufacturer building this car, one with a ton of history, good quality, and I think there might be some confidence in the e-tron that maybe you don’t have in a Tesla,” she said.
Curiously enough, several updates on the e-tron remain unsaid in Consumer Reports‘ recent video, such as the ongoing recall for the SUV due to a potential fire risk. The range challenges of the e-tron have also been documented extensively, even by foreign organizations such as nextmove from Germany; and so far, reviews of the SUV which concluded that the vehicle’s range is being underestimated seem to be quite scarce.
The comparisons with the Model X also seemed quite interesting, considering that there was no mention of the recent update that Tesla rolled out into the SUV, which increased its range to 325 miles per charge using a battery that is only 5 kWh larger than the pack utilized by the e-tron. Long trips in an all-electric car have been addressed for years by the Supercharger Network, which allows Tesla’s vehicles to recharge their batteries during quick stops on the road.
Watch Consumer Reports‘ discussion on its Audi e-tron first impressions in the video below.
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.”
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.
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.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
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.
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.
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
