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Tesla Model 3 gets Full Self-Driving HW3 upgrade: Full details with lessons learned
True to Elon Musk’s expectations on Twitter last month, it appears that Tesla is now looking to ramp Hardware 3 retrofits for owners who purchased the Full Self-Driving suite and whose cars are equipped with HW2 or HW2.5. A recent account involving a Tesla owner-enthusiast’s experience with her Model 3’s HW3 upgrade shows that there are still some areas in the retrofit process that can be improved.
Tesla Model 3 owner-enthusiast TeslaJoy was looking to do a video on the company’s recent voice command update when she noticed that the feature on her vehicle was not working properly. This prompted her to make an appointment with Tesla to get her car checked in and fixed. During the troubleshooting process, she inquired if a possible HW3 retrofit could be done to her vehicle as well. Fortunately, a HW3 unit was available for her Model 3, and so, a rather eventful upgrade process began.
Tesla Service Centers currently receive batches of HW3 units from the electric car maker, and each unit is assigned to a specific VIN. This is the reason why for now, at least, owners are not advised to call Tesla to schedule a HW3 retrofit. Fortunately for Joy, the Tesla Service Center opted to perform the HW3 upgrade at the same time as her appointment, since she would need to bring her Model 3 back for a retrofit anyway.
Since the retrofit was estimated to take around 5 hours, Tesla asked the Model 3 owner to leave her car for the day and claim it the next business day. That was December 31, which meant that the vehicle should be ready the day after New Year’s. As it would turn out, the Service Center would end up encountering difficulties installing the necessary firmware on Joy’s Model 3. This resulted in delays, which culminated in the vehicle’s HW3 retrofit being completed on January 5, 2020, over five days after the Model 3 owner turned in her car.
Hardware 3 retrofits are available for owners who have purchased Tesla’s Full Self-Driving suite, and whose cars are still equipped with the company’s HW2 and HW2.5 units. With Hardware 3 installed, owners will be able to utilize the full suite of FSD capabilities that the company is rolling out today. One of these is the FSD preview that Tesla rolled out for the holidays, as well as features like traffic cone recognition.
True to Elon Musk’s words on Twitter, the HW3 retrofit is free for owners who have purchased the company’s FSD suite. Joy, for her part, was able to get FSD last March at a discounted price of $2,000 on top of her Enhanced Autopilot. FSD currently costs $7,000 when it is included in a new vehicle’s order.
Based on Joy’s experience, it appears that owners should expect to wait some time for their vehicles are set to be retrofitted. In the Model 3 owner’s case, her car’s upgrade ended up taking days since the first HW3 kit that was installed did not function properly. This resulted in the vehicle essentially getting retrofitted twice, causing delays. Tesla did give Joy a $500 Uber voucher due to the absence of loaner vehicles, but the whole experience showed notable points for improvement nonetheless.
In a way, TeslaJoy‘s experience with her Model 3’s HW3 retrofit stands in stark contrast with the experiences of Model S owner Sofiaan Fraval, whose car was upgraded by a Service Center during a voluntary HEPA replacement. In Fraval’s case, his Model S was fully retrofitted within a matter of hours, and it was calibrated in pretty much the same day. A Tesla Model S owner who runs the Electric Dreams YouTube channel also received his vehicle’s HW3 retrofit without any issues, and it was performed by a mobile technician, not a Service Center.
In the Electric Dreams host’s case, the entire HW3 retrofit was conducted from the convenience of his home, with a mobile service tech coming over in the morning, taking an hour and a half for the installation to be completed, and an additional two hours for the necessary firmware to be loaded onto the vehicle. This is in line with Elon Musk’s previous statement on Twitter, where he stated that HW3 retrofits should be possible through Tesla’s mobile service fleet.
Overall, there seems to be a variance with regards to the experience of owners when getting their vehicles retrofitted with Tesla’s FSD computer. Some owners seem to be experiencing a seamless, painless process, while some, like Joy, end up having to test their patience. Hopefully, as Tesla ramps its HW3 retrofits this quarter, the company could work in optimizing its upgrade process, so there are more experiences like the Electric Dreams host’s, and less like TeslaJoy‘s.
Watch TeslaJoy‘s HW3 experience 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
