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Lucid Air Dream Edition shows impressive initial build quality thanks to human craftsmanship

Credit: Vivianna Van Deerlin | YouTube

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With the Lucid Air Dream Edition finally beginning initial deliveries more than a year after its unveiling, the automaker’s first builds are showing an impressive build quality thanks to Lucid’s focus on fine craftsmanship. A spacious, luxury interior also fills the inside of the Air Dream Edition, giving the impression that first owners are more than happy with what they have been given after a lengthy wait.

Vivianna Van Deerlin was one of the first owners of the Lucid Air Dream Edition and attended the October 30th, 2021 unveiling event in California. While Van Deerling attended the West Coast-located ceremony, which included breakfast, numerous speeches from Lucid executives, and a trunk full of Lucid-inspired goodies, she is a resident of New Jersey, and putting 3,000 miles on the car in the first few days was not what she planned for. The vehicle was then shipped to New Jersey, where she plans to take delivery soon.

However, a video Van Deerlin took at the Lucid Delivery Event in California showed the impressive build quality the Air sports in its early builds, and it may be the reason the car was awarded MotorTrend’s “Car of the Year” award. Lucid has already detailed that the first few units of the Air would be built by hand. In March, Lucid detailed the tedious-but-necessary process of taking out automation and bringing humans in to build the cars. It eliminates the uncertainty of mass production, and while fewer units can be built, quality is unmatched. “At this stage in the process, it’s less about the robots and more about the hands-on human element. It’s all carefully choreographed,” Lucid wrote in its blog. “We do have some robots and we do have automation, but this vehicle is put together by humans. And it takes real craftsmanship,” Art Schlaud, Director of Manufacturing for General Assembly said.

Lucid shows the tedious process of building the Air Dream Edition

If the Air Dream Edition delivery event told us anything, it’s that Lucid is bringing its finest vehicles to the forefront during its shiny-and-pretty delivery event. The cars are nearly flawless, and the exterior is almost as pretty as the interior.

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Van Deerlin may be one of the most qualified people on Earth to give a first impression of an EV. In 2009, Van Deerlin was a Model S reservation holder, and took delivery of an S85 in December 2012, she said. There was no infrastructure, Superchargers were not a thing, and electrification was far away from the mainstream. “It was a gamble at the time, but we believed firmly in the mission to transition the world to sustainable energy, so were excited to be early adopters of Tesla and help spread the word,” Van Deerlin said.

Lucid’s competitive nature, which has included plenty of mention of rival Tesla, does not make anything different for Van Deerlin. “This purchase of a Lucid Air in no way diminishes my passion for my Tesla vehicles, energy products and the Tesla community. I love our Model 3, Model S, and Roadster. For anyone who truly believes in the Tesla mission, and not just making money from Tesla stock, the success of more than one EV company is imperative. I see a future of transition to electric vehicles — but I do not see a future where everyone drives a Tesla,” she said on YouTube.

Build quality is a term that many Tesla enthusiasts are familiar with because it was a strong point of conversation for media for some time. Tesla was struggling with build quality when ramping up the Model 3 several years ago, after having the reputation of well-built cars with early adaptations of the Model S being handbuilt. CEO Elon Musk has always said that “production is hard,” and Lucid may get to experience that lesson in a few years when it begins to mass-produce the Air sedan or the “Project Gravity” SUV it will unveil. The real question is whether Lucid will be able to keep this impressive build quality up while it begins to scale its manufacturing processes. Past experiences have taught us that automakers tend to struggle with perfect build quality while balancing thousands of units per day.

Nevertheless, Lucid brought its A-game for its first impressions. Check out Van Deerlin’s video on the delivery experience below.

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I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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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.” 

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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. 

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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.

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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.

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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.

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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.

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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.

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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.

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