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Tesla Model 3 wins Detroit News’ 2018 Car of the Year award: ‘It is Apple on wheels’
It appears that Elon Musk was right to bet the future of Tesla on the Model 3. Since the electric car started getting delivered to its long list of reservation holders, the vehicle has won the hearts of EV enthusiasts and old-school gearheads alike. A member of the latter group is Henry Payne of The Detroit News, who previously noted in an appearance at Autoline TV that he purchased a Long Range RWD Model 3 simply because there is no other vehicle like it on the road.
Payne is a true-blooded car enthusiast. Apart from being a 30-year veteran of the news industry, Payne is also an avid racecar driver and a professional automotive critic. He is also the farthest from being a stereotypical EV buyer, openly admitting that he’s not a “greenie” and that he is not a global warming believer. That said, if there is one thing that Payne knows, it is cars — how they work, and how good they are.
As it turns out, Tesla’s midsize sedan ended up impressing the automotive veteran. So impressed was Payne with his Tesla Model 3 that in a recent column, he actually selected the electric sedan as The Detroit News‘ 2018 Car of the Year. That’s right. An electric car — a rather tame version of the vehicle at that — convinced a lifelong gearhead that it was arguably the best vehicle available in the United States this year.
Payne noted that Tesla made history in 2018, becoming the first viable startup automaker he encountered in his lifetime. Elaborating on the Model 3, Payne noted that the vehicle has remained competitive in the auto industry despite being a sedan in a market that loves larger vehicles like SUVs. The automotive veteran further pointed out that Tesla was able to achieve all of this despite the constant barrage of skepticism from the company’s critics, Elon Musk’s Twitter missteps, and the company’s manufacturing errors such as over-automating the Model 3 line.
Ultimately, though, Payne stated that the Model 3 is exceptional simply because it reimagines what a car could be like. And it was able to do so without compromising on performance.
“The $55,000 Model 3 succeeds because it is Apple on wheels. Musk re-imagined the car like Steve Jobs re-thought the phone — as a study in design minimalism that is both gorgeous and more efficient than established platforms. Privately, other automaker execs tell me they admire Tesla for innovations that are pushing the industry forward: over-the-air updates, better connectivity, better user interfaces.”
“As different as the Tesla’s operating system is, it sacrifices little in performance to segment athletes like BMW and Alfa. Despite its inherent weight disadvantage, the porky 80.5-kWh battery is integrated to the chassis low in the car, making for good vehicle dynamics.”
What’s particularly noteworthy is that Payne dubbed the Model 3 as the 2018 Car of the Year despite having what appears to be outdated information about the vehicle. For one, he referenced a track test from Motor Trend‘s Randy Pobst, stating that the Model 3 Performance was just a second slower than the Alfa Romeo Quadrifoglio. That particular test mentioned by The Detroit News veteran involved the pre-release version of the Model 3 Performance’s Track Mode. Tesla actually collaborated with Pobst to fine-tune the “release version” of Track Mode after the vehicle’s loss to the Alfa in the initial test. With the release version of Track Mode, the Model 3 Performance soundly beat the Alfa Romeo Quadrifoglio’s time.
Ultimately, though, the auto veteran noted that the Model 3’s combination of driving dynamics and software integration makes the electric car a remarkable vehicle overall.
“A showcase for autonomous features like summon and automatic lane-change, the high-tech Model 3 reaffirms the joy of driving,” Payne concluded.
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
