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Tesla’s in-house body repair shop restores damaged Model 3 in 25 hours
Back in Tesla’s 2018 Annual Shareholder Meeting, Elon Musk stated that the company is opening in-house body shops to reduce the time it takes for owners to get their cars repaired. The first nine of these in-house body shops were announced in Tesla’s official website earlier this month, and so far, reports of the service they provide have been very positive.
Just last week, u/ekobres, a Model 3 owner and member of the r/TeslaMotors subreddit, shared his experience with Tesla’s in-house repair shop in Marietta, Georgia, which reportedly fixed a panel alignment issue in one day. According to the Model 3 owner, Tesla picked up the car, loaned him a vehicle, and delivered it back fully fixed and cleaned within nine hours. While this turnaround time was impressive, the work done in u/ekobres’ Model 3 was rather minor. Thus, it remained to be seen how fast Tesla’s in-house repair shops could fix a vehicle with more significant damages.
One such vehicle was sent to the same in-house body repair shop in Marietta, GA recently. The Model 3 was owned by the hosts of YouTube’s Like Tesla channel, who noted that their vehicle was damaged after a car backed into it. The electric car was still drivable after the accident, but a portion of its front bumper was hanging out, and its left headlight was cracked from the impact. Kim, the YouTube channel’s host, even aired her concern as to when they would get their Model 3 back, considering Tesla’s notorious wait times even for otherwise simple repairs.
Fortunately for the Model 3 owners, they were in the vicinity of Tesla’s in-house body shop in Marietta. Within an hour of the accident, the shop had been contacted, and necessary information such as the claim number and the electric car’s VIN were taken. The shop also started coordinating with the responsible party’s insurance provider. The next day, Tesla Service came by, dropped off a Model X loaner, and took the damaged Model 3 to be repaired.
Forty-five minutes after that, Tesla notified the Model 3 owners that their car had arrived at the shop, and around four hours later, images of the vehicle being worked on were sent over. Not long after, the in-house body shop sent another message informing the Model 3 owners that their car had been fully repaired, complete with a new bumper, front fender, headlight, and wheel. It was just 25 hours after the accident.
The rapid turnaround time of the Model 3’s repair stands as yet another example of Tesla’s continued attempts at improving its service to its growing customer base. This was highlighted in one of Elon Musk’s tweets last month, when he noted that Tesla is aiming to improve its in-house repair shops to such a level that same-day repairs become possible.
Tesla body shops are ramping up fast. Aiming to go from 30+ days using external body repair shops to same day body repair with prestocked parts at Tesla service centers.
— Elon Musk (@elonmusk) July 31, 2018
If these recent accounts are any indication, it appears that Tesla’s ramp of its in-house repair shops is moving alongside the company’s ramp for Model 3 production. While Tesla’s body shops are only addressing minor repairs for now (major damages are still referred to the company’s network of certified, third-party repair shops), the service they provide undoubtedly improves the ownership experience. Once Tesla’s in-house shops are fully ramped, the company might finally be able to shake off its image of providing great cars that are beautiful and powerful, but are a pain to get repaired.
Watch Like Tesla‘s Model 3 repair experience with an in-house body shop in the video below.
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
