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Tesla is willing to help other automakers, but ask nicely

Credit: Volkswagen | Teslarati | Audi

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Earlier this week, I wrote an article talking about the German car companies and their obsession with mentioning Tesla. Volkswagen, Audi, and BMW are all gunning for Tesla in terms of electric vehicle technology and manufacturing. While the three German giants admit that Tesla holds a multi-year lead in the EV sector, they all believe they can catch up to Elon Musk and the rest of the crew.

After publishing the article, Elon responded and said that Tesla was willing to help companies transition to sustainable forms of transportation because it would help the world as a whole. However, there is evidence to suggest that Tesla and Elon are going to help those who ask for it, not those who attempt to take information in a manner that could be considered “sneaky.”

Additionally, one of Musk’s followers had asked if Tesla’s Autopilot could be shared with other automakers in an attempt to not only accelerate the charge towards semi and fully-autonomous driving. Musk simply replied, “Sure,” indicating that there did not seem to be any boundaries in terms of what Tesla would be willing to share with its “competitors” as capitalism would refer to them as.

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To me, I found that simple “Sure” reply as one of the most interesting Tweets of Musk’s illustrious Twitter career. Not only has the CEO provided many of my friends and me with a fair share of laughs and me because of his great sense of humor, but his digs at other companies, as well as some of the more ironic things that he has said, have always intrigued me.

When he said, “Sure,” all I thought of was the lawsuit that Tesla currently holds against an Xpeng engineer who formerly worked for Tesla.

For those of you that are not familiar, Tesla sued Xpeng engineer Cao Guangzhi earlier this year, who used to work for Tesla.

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Guangzhi allegedly stole pieces of Tesla’s Autopilot source code and attempted to sell it to Xpeng for financial gain. Guangzhi had downloaded portions of the code to his personal laptop and then shared it through Apple Airdrop, which is hard to track because of the encryption that Apple uses. However, he ensures that he removed it from his personal laptop before leaving Tesla to join Xpeng.


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The case is still ongoing.

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But what I found most interesting about Musk’s simple one-word answer was the fact that he stated he would be willing to share Autopilot’s developments with other automakers. But it seems it needs to be done in good and harmless fashion, and not in a sneaky way. This is entirely understandable, in my opinion.

If Guangzhi did what Tesla is accusing him of doing, it would be seriously sneaky and flawed. Tesla is the leader in semi-autonomous driving thanks to the developments of its Artificial Intelligence team, led by Andrej Karpathy. What separates Tesla from every other company in self-driving is the fact that it is continuously improving thanks to the company’s Neural Network. As information is communicated to the Neural Network with every Tesla vehicle on the road, the company’s self-driving software becomes more sophisticated and more accurate as it can predict the next movements of the drivers around a car.

If this source code were to be leaked or given to another company, it could be detrimental to Tesla’s lead in the self-driving universe. I’m excited to see how the case plays out.

More recently, Tesla sued Rivian for poaching former employees and stealing trade secrets. Interestingly enough, I had some time to read over several pages of the complaint from Tesla to Rivian, and some employees openly admitted to taking confidential documents when they left Tesla.

I am a big Rivian fan. I think R.J. Scaringe, the company’s CEO, is a brilliant person who has a lot of potential to do amazing things. I have recommended to a couple of my friends that they should invest in an R1T instead of getting a Cybertruck because they don’t like the Tesla pickup’s design. But either way, it seems from my understanding of legal documentation, it is going to be up to Tesla to prove that Rivian asked these employees to take things and that they are openly going after past Tesla employees. I think that is going to be a tough cookie to crack.

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But either way, Rivian didn’t go to Tesla for help directly. I feel that if they needed help with electrification or self-driving code, they should have reached out to Elon directly.

Elon has stated for years that the biggest enemy of Tesla is not competitors who are developing sustainable electric vehicles. The companies that are the biggest threat to Tesla are the biggest threat to us all, which are the ones who refuse to adapt to the sustainable transportation revolution. Companies that want to develop and improve internal combustion engine machines are a threat. Not financially, but environmentally, because they’re ignoring the apparent crisis that is going on in the world.

Does it seem like Elon wouldn’t be willing to help other automakers develop their vehicles if they asked for help? I don’t think so. Personally, when I look at Musk’s mission, I see a man who is interested in collaborating with anyone and everyone, as long as they are willing to admit that their push toward sustainability is the focus and not on the backburner.

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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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