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Tesla Model 3 owned by Motortrend staff highlights a real-life adventure
Automotive Journalist Alan Lau bought a “price-adjusted” Tesla Model 3 Performance inventory car a year ago and recounts the good and bad adventures he’s faced after 365 days ownership.
A visit to Laguna Seca Raceway, and a road trip later, Lau, a staff writer for MotorTrend, talked about his year-long journey, which cleared up a lot of misconceptions about Tesla’s more documented “issues.”
Lau broke down his experience with his vehicle’s performance specifications, charging options, Tesla Service, and what his final verdict was in regards to his all-electric powerhouse.
Most people know that the Model 3 Performance is a technological and automotive marvel. It is capable of 0-60 MPH in around 3 seconds, according to Lau’s personal experiences with the vehicle. The addition of Track Mode and software updates that increased the vehicle’s performance specifications were enough to impress Lau. One of the significant points of criticism Lau highlighted was the Model 3 brakes. He thinks their longevity on a track circuit is underwhelming as he was only able to navigate around Laguna Seca for three laps before they needed to cool down.
In terms of charing Lau notes plenty of options in the Los Angeles area. And his biggest positive was the amount of money he saved every month compared to owning a combustion engine car. ” In a normal month, I spend about $70 on charging the Tesla. Compared to my other gasoline car, a Honda CR-Z (with supercharger), I would have paid roughly $230 for fuel to drive the same distance in a month,” Lau said.
Tesla Service provided Lau with excellent customer service and timely fixes of a pothole-induced bubble in his tire, the installation of a carbon-fiber spoiler, and a misaligned seal.
His local Service Center fixed a tire issue after running into a pothole after his typical morning commute. Two hours and a few hundred dollars later, Lau was back on the road.
Tesla had not installed the 2018 Model 3 Performance vehicle with carbon-fiber spoilers, so Lau had that installed after taking delivery of the car. Also, his misaligned seal was replaced by a Tesla Ranger who arrived at his workplace in a Model S with the necessary equipment to fix the issue without Lau needing to visit the local service center.
“The process was rather convenient,” Lau said. “I first submitted a service request and picked an appointment time in the Tesla app on my phone. On the day of my appointment, a Tesla Ranger showed up in a Tesla Model S with tools and parts in the car. All I had to do was show her where my car was parked. Everything was done in 30 minutes.”
Lau has relatively no complaints about the year-long ownership of his vehicle. “As for the Model 3, I’m keeping it. Those fitment issues I had were so minor, and there were no major problems with the car,” he said.
The Model 3 has been Tesla’s most popular car for several years after beginning deliveries in 2017. The vehicle has continued to improve thanks to Over-the-Air updates and advancements in Tesla’s manufacturing and battery technology.
“A $70 monthly running cost for a car that can do 0-60 in 3.0 seconds? Honestly, a comparable alternative does not exist yet,” Lau concluded.
Lau’s year-long adventure with the Tesla Model 3 Performance can be found here.
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
