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Tesla Semi truck production would showcase lessons gained from Model 3
Being the electric car maker’s first entry into the trucking industry, the stakes are high for the Tesla Semi. Just like the Model 3, Tesla could revolutionize the trucking industry if the Semi proves to be a success. The company is aiming to start production of the Semi sometime in 2019 — a target that exhibits Elon Musk’s tendency to adopt aggressive manufacturing timelines. That said, if Tesla’s progress in the Model 3 ramp is any indication, there is a good chance that the Semi could be Tesla’s first vehicle to not run into major problems when it starts production.
Tesla is no stranger to missed production deadlines. In 2007, Tesla announced that it has plans to build 10,000 of the then-mythical Model S sedan annually starting in 2009. Production was ultimately delayed, and the vehicle was introduced in June 2012. The Model X experienced an even more significant delay, with deliveries starting on September 2015 instead of its initially planned early 2014 release. Tesla’s latest vehicle, the Model 3, has experienced delays as well — an ordeal that CEO Elon Musk aptly dubbed as “production hell.” When the handover of the first 30 Model 3 was held last year, Musk announced that Tesla is aiming to produce 5,000 units of the electric sedan a week by the end of 2017. Tesla was only able to hit that target at the end of Q2 2018.
Considering Tesla’s history and reputation for delays, does this mean that the Semi would follow the same fate? Most likely not. On the contrary, the Semi might very well be the first Tesla vehicle that would not experience a delay as bad as its predecessors. Tesla might miss its 2019 target for the truck given that the timeline was announced by a very optimistic Elon Musk, but once manufacturing begins, there is a good possibility that the Semi would not take the company to “production hell” like the Model 3.
When Elon Musk unveiled the Semi last November, he pitched the vehicle as an electric truck that can disrupt the trucking industry. With stunning performance specs such as a 0-60 mph time in 5 seconds flat, a capability to haul 80,000 lbs of cargo, and a range of 500 miles per charge for the Long Range version, the Semi is a serious long-hauler. These impressive specs aside, one thing that made the Semi quite remarkable was the fact that it shared components with the Model 3, from its four electric motors to the two touchscreens on the driver’s console. A video of the Semi shared earlier this year on YouTube even showcased how the truck features an air vent similar to the Model 3.
Tesla is not done with the Semi either. As testing of the vehicle continues, Tesla is rolling out improvements to the truck’s design. Back in May, Elon Musk stated that the Semi’s range would be closer to 600 miles per charge. During the Q2 earnings call, Elon Musk also teased a new battery module “that’s actually lighter, better, (and) cheaper.” These new modules are expected to start production sometime in Q1 2019, which could result in vehicles being lighter and having more range — advantages that are pertinent for the electric long-hauler.
Tesla’s production ramp for the Model 3 proved to be a classic tale of trial and error, with a dash of automation-driven hubris thrown in. Over the past year, the company learned a lot of lessons as it evolved from an upstart automaker into a more mature car company. When Tesla starts the Semi’s production, there’s a good chance that it would no longer be a company that adopts unrealistic release timelines. Instead, it would be an automaker that has gained experience over years of missed deadlines. The fact that the Semi shares components with the electric sedan would be a given plus, but the real boost in the manufacturing of the electric truck would likely be caused the expertise that Tesla gained when it tackled the challenge of the Model 3 ramp.
The market for the Tesla Semi is vast, and so far, reactions from the market are encouraging. During the company’s Q1 2018 earnings call, Elon Musk and CTO JB Straubel noted that Tesla has around 2,000 reservations for the vehicle. Tesla has also acquired orders from companies such as PepsiCo, FedEx, and UPS in the United States and Bee’ah from the United Arab Emirates, to name a few.
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
