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The Age of Tesla: Consumer Reports survey reveals that the EV era has begun
Amidst the release of Tesla’s record-breaking numbers for 2020, which saw the electric car maker produce and deliver half a million vehicles during a pandemic, it appears that the American public is just about ready to embrace the EV revolution. This was emphasized in a survey conducted by Consumer Reports, which revealed that the American car buyers are just about ready to embrace the Age of Tesla and EVs.
Consumer Reports’ latest nationally representative survey on electric cars showed that public perception regarding EVs is taking steps towards the mainstream. While only about 30% of the survey’s respondents stated that they are notably familiar with electric cars, almost all the participants had at least heard of EVs. Interest in electric cars was extremely high, with 71% of US drivers stating that they would consider buying an electric car at some point in the future.
Nearly a third of the survey’s respondents indicated that they are interested in purchasing an electric car for their next car. More than 70% of the study’s respondents also agreed on the notion that electric vehicles would be better for the environment, and that automakers should offer more vehicle types such as plug-in electric pickups and SUVs alongside their car EV offerings.
Overall, the results of Consumer Reports’ survey shows that consumers are now becoming steadily more aware of electric cars. And while there are still some concerns about challenges such as the availability of charging stations on the road, Chris Harto, CR’s senior sustainability policy analyst, noted that the use of public charging stations is actually quite rare for a good number of electric car owners.
“American drivers are accustomed to having ready access to gas stations, and may not realize that if they have a personal garage or driveway, they’ll be doing most of their charging at home with an EV. Even though we have found that the typical driver would make as few as six stops at a public charging station every year, a more robust network of fast-charging stations would help alleviate buyers’ concerns about switching to an electric vehicle,” Harto said.
Amidst this shift, the progress and growth of companies like Tesla have been invaluable in pushing the electric vehicle revolution. Tesla’s Supercharger Network, for one, was established and ramped at a time when the company was only producing one vehicle, and at very limited numbers. But years down the road, the Supercharger Network stands as one of the most convenient and reliable rapid charging systems in the country. And considering that Tesla is only getting more aggressive with its Supercharger ramp, the rapid-charging system seems poised to be opened to other EVs as well.
What is rather remarkable is that the EV revolution is now going far beyond Tesla. While Tesla is still poised to lead the market thanks to its head start in battery tech and software, other compelling electric cars from other automakers are also being released. There’s Rivian with its R1T pickup and R1S SUV, both of which are designed to make waves in the luxury adventure market. Lucid Motors’s Air sedan is coming for luxury vehicles like the Mercedes-Benz S-Class. Even legacy automakers like Volkswagen are making some serious bets on electric vehicles, as evidenced by the efforts of VW exec Herbert Diess, a noted ally of Elon Musk.
As electric cars go mainstream and vehicles like the Model 3 and Model Y become more attainable, reasons for sticking with the internal combustion engine decreases significantly. With numerous regions like Europe and China looking to ban ICE cars within the coming years, after all, gas and diesel-powered vehicles are only going to be less compelling. And amidst this decline, electric vehicles like Tesla’s lineup are only bound to get more and more attractive.
EV-Survey-2020-Fact-Sheet-12.16.20-3 by Simon Alvarez on Scribd
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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.”
News
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
