In recent months, Tesla CEO Elon Musk has been far from the only person at the company using the X platform regularly to spread information about its products. Amidst calls for Tesla to advertise, the use of X from both executives and other employees has increased substantially in the past few months, not unlike how Musk has used the platform over the years.
Beginning around when the Cybertruck was released in November, executives and engineers from the company began sharing information about the pickup, and that has continued steadily since. Executives have also increasingly spoken directly to people on X about that and other subjects, sharing details about the company’s products and responding to some when they raise questions.
Tesla launches advertising on X in the U.S., expanding ‘small scale’ strategy outlined by Musk
Around the launch of the Cybertruck, Tesla employees who received early copies of the vehicle started posting about them regularly, noting specific details about the vehicles and often responding to users in the threads that followed. This played a seemingly key role in marketing the truck and bringing awareness of it to the public, while helping to spread correct information about them.
Below is a post made by Cybertruck Lead Engineer Wes Morrill in December, featuring his dog and talking about the vehicle’s rear seats at a time when little was known about the pickup.
Front seats have enough room underneath for a nice burrow, and it has a window… pic.twitter.com/AEuwBnaE1m
— Wes (@wmorrill3) December 17, 2023
Tesla executives have also been more vocal, both on X and in more regular media appearances, including people like Design Lead Franz von Holzhauzen, Vice President of Vehicle Engineering Lars Moravy, and Vice President of Investor Relations Martin Viecha, among others still.
These executives have, once again, been focused on educating the public about Tesla’s products, answering customer questions and responding to inaccuracies. Discussions have ranged from those on the Cybertruck and the upgraded Model 3 to the Optimus robot, the Full Self-Driving (FSD) beta and more.
Tesla Vice President of Public Policy and Business Development, Rohan Patel, has regularly been sharing information about the company’s products and ongoing plans for the past few months. As a recent example from last week, Patel responded directly to inquiries about when Tesla’s FSD beta would become available as a subscription in Canada, saying it was being worked on and would likely be in “the coming weeks.”
Elon approved this Canada update and the team is working on the technical and regulatory procedures to make sure we don’t trigger any unintended provincial issues. Barring any setbacks, I’d expect this in the coming weeks.
I take responsibility for missing this one when the… https://t.co/ZZjUjwMfRw
— Rohan Patel (@rohanspatel) March 9, 2024
Another example includes Tesla Director of Product Design Javier Verdura, who recently pointed out that the Cybertruck tent camper wasn’t fully set up in photos from one publication, making it look worse than when it’s set up properly.
The picture shown in the Electrek article is not properly nor fully set up. They literally posted the worst possible picture they could find. When set up properly, the tent looks great. When stowed, it hides neatly under the tonneau cover avoiding aero drag when driving
— Javier Verdura (@JVerdura) March 9, 2024
While CEO Elon Musk hasn’t slowed down in his posting habits, many of them are not about Tesla, SpaceX or his other companies these days, instead being about politics. Still, looking at Musk’s Twitter history, it isn’t hard to see how often he was using the platform to spread news and information about Tesla and SpaceX, all the way back to his early tweets in 2011 and 2012—and this approach seems to be similar to what many at Tesla are now following him into.
In 2022, Visual Capitalist published an article mapping out all of Musk’s tweets between 2012 and 2021, with the vast majority of them being related to Tesla and SpaceX. The piece also lays out the growth of Musk’s follower count during that time, which stands at 175.9 million at the time of writing, up from about 65 million when the article was published.
You can see a few of the graphics from the Visual Capitalist article below.
Credit: Visual Capitalist Credit: Visual Capitalist Credit: Visual Capitalist
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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
