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Elon Musk pledges to improve Tesla’s service location coverage within 3-6 months
In a recent announcement on Twitter, Elon Musk pledged to “fix” the existing gaps in the coverage of Tesla’s service locations. According to the CEO, Tesla would aim to expand the reach of its service centers to areas beyond big North American cities within the next 3-6 months. Musk also issued the same pledge to all countries that Tesla will be operating in by the end of next year.
Just reviewed Tesla’s service locations in North America & realized we have major gaps in geographic coverage! Sorry for this foolish oversight. Tesla will aim to cover all regions of NA (not just big cities) within 3 to 6 months.
— Elon Musk (@elonmusk) October 17, 2018
Musk’s announcement on Twitter comes at a time when Tesla seems to be at the brink of reaching even more impressive milestones in vehicle delivery and production. In 2019, for one, Tesla aims to produce 10,000 Model 3 per week, resulting in a yearly output of more than 500,000 vehicles. Such a fleet requires a strong network of service centers in all areas where Teslas are being sold.
Tesla’s service centers are admittedly one of the company’s biggest points of improvement. Over the years, Tesla’s vehicles have developed the notorious reputation for being incredibly difficult to repair. Anecdotes from Tesla owners from the initial days of the Model S alone indicate that getting vehicles serviced, particularly for repairs, could become a taxing experience, partly due to the lack of spare parts and the number of certified body shops that can actually service the electric cars.
Elon Musk has since pledged to address this issue. In the 2018 Annual Shareholder Meeting, Musk discussed the expansion of Tesla Service Centers and authorized body shops. Addressing the company’s shareholders, Musk noted that year-over-year, Tesla expects to see a doubling of service center capacity for Tesla.
“We’re rapidly expanding service centers. Year over year, probably see a doubling of service center capacity for Tesla. We’re making major progress on the body-shop front. This is quite a big deal. We’re creating Tesla body shop repair locations. We should have by the end of the month in at least the Top 10 metro areas in the US being able to be serviced by a Tesla body shop. This will be a dramatic improvement in the cost and time of body repair,” Musk said.
Musk also teased the idea of launching in-house body repair shops to address damages from minor accidents quickly. Tesla launched the first set of in-house repair shops earlier this year, and so far, they seem to be working well. A Model 3 that got damaged from an accident at a parking lot, for one, was fully restored by an in-house body shop in just 25 hours.
Norwegians are right to be upset with Tesla. We are having trouble expanding our service facilities in Oslo especially. Can solve quickly with Tesla mobile service vans, but awaiting govt permission to do so.
— Elon Musk (@elonmusk) July 5, 2018
That said, Tesla’s service network still has a long way to go, particularly in foreign regions. Last July, reports emerged that Tesla owners from Norway are getting aggravated by the company’s slow service. Responding to the reports on Twitter, Elon Musk admitted that “Norwegians are right to be upset with Tesla” considering that the electric car maker is having trouble expanding its service facilities in the region.
As the impending global rollout of the Model 3 approaches, Tesla seems to be preparing itself for a massive influx of vehicles abroad. In Tilburg, Netherlands, for example, the company recently acquired an expansive facility located close to its assembly plant and delivery center. The facility, which spans 387,500 square feet (36,000 square meters), is speculated to serve as a hub where parts for vehicles are stored and distributed to surrounding regions. Considering that a shortage of parts is among the problems that plague owners, the Tilburg hub would likely play a vital role in ensuring that Tesla’s service networks are fully equipped and ready to address owner’s concerns in a timely manner.
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
