There are times when small gestures could mean the difference between a company that cares and a company that simply treats its customers as numbers on a balance sheet. Just recently, Tesla proved that it is an example of the former, with CEO Elon Musk notifying a wheelchair bound Model 3 customer that the electric car maker will be installing a power liftgate on his all electric sedan — and the upgrade will be on the house.
The story of the Model 3 customer, which was related through a letter, was shared by the Tesla China Twitter account. Writing to the company, the customer noted that the Model 3 had been his dream car since April 2016, when he placed a reservation for the all electric sedan. Unfortunately, tragedy struck in 2018 when he met an accident, resulting in a spinal injury.
After the accident, the Model 3 customer lost his ability to use his legs. Confined to a wheelchair and with his dream car seemingly out of his grasp, the EV enthusiast opted to cancel his Model 3 order. His dream to own a Tesla Model 3 seemed dashed until he returned to work and learned that his wheelchair did not fully deter him from doing his job properly.
His experience at work led him to dream of regaining his ability to drive. He firmly set a goal to apply for a C5 license in China, which is used by individuals with special needs. The Model 3 owner successfully received his C5 license in 2019, and when it was time to look for a vehicle, he immediately gravitated towards Tesla’s midsize sedan.
Unfortunately, the imported Model 3 was out of his price range then. The Tesla fan decided to get BYD Qin ProDM instead, since it was affordable and it also had a feature like Smart Summon. In the long run, though, BYD’s Smart Summon-like feature could not handle certain slopes, which proved inconvenient. And thus, the idea of revisiting the Model 3 was in order.
Fortunately, Gigafactory Shanghai had started producing the MIC Model 3 at the time, and it was available for a reasonable price. The Tesla enthusiast did not hesitate this time around. He pulled the trigger on a Long Range RWD variant of the locally made sedan. His vehicle will have basic Autopilot, which should help make driving easier. However, he opted to not order the Full Self Driving suite, at least for now, or at least until a good payment scheme is available.
With his order now on the way, the Model 3 customer asked the electric car maker if it could make features like Smart Summon standard in its vehicles in the future. Such features, after all, may seem like party tricks to the layman, but they are life changing for individuals with mobility issues. The Tesla enthusiast also asked if Tesla could install a power liftgate for the frunk and trunk of the Model 3, since closing the frunk and trunk are very difficult for wheelchair bound individuals.
Interestingly enough, Elon Musk responded to the Model 3 customer’s request, stating that Tesla would be adding a power liftgate at no additional cost. It’s a relatively small gesture, but it shows a degree of empathy that’s quite rare among carmakers today. The upgrade will cost Tesla a bit more to produce the vehicle, after all, but it would mean a big difference for the Model 3 customer.
Elon Musk is no stranger to goodwill gestures to Tesla customers. Back in 2017, for example, Musk offered to fix the damages on a Model S for free after its owner used the vehicle to save a fellow driver on the road. During the incident, the Model S owner noticed that another driver was slumped over the steering wheel. Responding quickly, the Tesla owner used his Model S to stop the other vehicle. Once the two cars were stopped, the Tesla driver proceeded to administer first aid. The CEO lauded the actions of the driver, later stating that Tesla will be providing all repair costs free of charge.
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
