Lucid’s unveiling of the Air was impressive; there is no doubt about that. It has all the ingredients for a great electric car: Speed, power, capability, luxuriousness, range, quality engineering, and a team of highly-dedicated engineers who are working to improve upon the already solid foundation that the company has laid down.
Immediately, what thought came to my mind while watching the presentation was, “They’re legit.” It is evident that Lucid was taking things seriously and was not using a bunch of fancy B-roll and suspenseful music to sell a product that wasn’t in production. No way. Lucid was dead serious about their car, and they recognize that until production begins and the Air starts being delivered to consumers, they haven’t accomplished a damn thing.
That’s a refreshing mindset in today’s day and age. To be honest, I understand a lot of companies are coming out and saying that they’re the next big thing. They’re the next Tesla, and their EV platform is the one that is going to solve all the problems.
These claims have come up empty time and time again. But Lucid definitely took a different approach. While describing and laying out the Air piece by piece for viewers to gauge thoughts on, the company’s CEO Peter Rawlinson was vocally supportive of Lucid’s efforts this far. However, he knows that the hard work is far from over. Just ask Elon Musk, who called Model 3 manufacturing “production hell” a few years ago.
That is what is super respectable about Lucid. They know that production is the real test, and it is one that never ends. After manufacturing begins and cars are delivered, there will be room for celebration, and there will be time to look at the accomplishments over the last five years. Until then, it’s hard work and grinding it out.
But it begs the question, can Lucid catch up to Tesla? Is this possible?
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Tesla has a considerably-sized head start by a few years over Lucid, and Tesla has already been given the nod that it has a multi-year advantage over some of the biggest companies in the world. Volkswagen and Audi have both admitted it in the past, but their focus has not primarily been on EVs. Gas cars have filled the minds of VW CEOs for years.
Ever since VW has started manufacturing the ID.3 and ID.4, they have been plagued with a variety of issues that have been software related. Volkswagen has fantastic engineering, and the problems they have faced have been hindering the company’s ability to release a quality EV promptly.
Now, VW has an extensive and successful history in automotive manufacturing. While they have only a few years of experience with developing electric cars, they have still stumbled from time to time, and this is after having so many years of manufacturing experience.
Lucid could experience some of those problems when the production of the Air begins. These issues could be a big problem because they may delay the ultimate delivery date of the Dream Edition, which is Spring 2021.
However, there is a chance that Lucid has worked out all of the kinks. Let’s not forget that Lucid didn’t spring up overnight. It was originally Atieva and was founded in 2007. It seems that a lot of the significant work was done when Peter Rawlinson came on, who worked for Tesla and helped with the Model S.
Rawlinson is a seasoned and experienced veteran, and he has done some awe-inspiring things with Lucid thus far. But is there a chance that Lucid can catch up to Tesla? Sure, but what proof is there that they have a chance?
First off, it is the range. 517 miles of range in the Air, which is impressive considering it is only a 113 kWh battery pack. This is an unheard-of amount of traveling distance in an EV and is considerably more than the Model S’ 402-mile rating. Next, the performance of the Air is critical to the company’s competition with Tesla. The Air is faster than the Model S Performance, but will it be faster than the Plaid Mode Model S? It is unknown, but many seem to think that the newly-engineered flagship sedan from Tesla will be the perfect answer to the Air. Whether that becomes a reality or not remains to be seen.
What is ultimately essential with the development of the Air is we can see that real EV manufacturers are coming to light with competitive products. For so long, legacy automakers have pumped out half-hearted attempts at producing an electric car. They throw a low kWh battery pack into a sedan, give it 100 miles of range and call it “the next big thing.” News flash: it isn’t. If you want to compete in this sector, you have to give consumers a reason to want your vehicle over a Tesla, which is really the benchmark at this point, especially since the Model 3 is widely affordable.
Lucid answered a lot of those questions on Wednesday night. They proved that their car is worth it, and they have plenty of things that could be “better” than what Tesla has to offer. But, it might not be for long, because Elon Musk is the master at taking the wind from a competitor’s sails when a new product is launched.
In reality, anything can happen. But the good news is the fact that Tesla now has a real competitor who seems to be serious about EV manufacturing. There is no goal way down the road for production, and their car works and is tested. With the competition, Tesla could see its best days yet, and Lucid could ultimately be another driving force behind widespread EV adoption.
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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
