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Ford Europe CEO trolls Tesla’s 7,000 vehicles/week production milestone
Ford Europe CEO Steven Armstrong took to Twitter recently to pour some cold water on Tesla’s production milestone for Q2 2018. Responding to Elon Musk’s tweet congratulating the Tesla team for producing 7,000 vehicles (comprised of 5000 Model 3 and 2,000 Model S & X) in a single week, Armstrong issued a sharp retort, mocking the electric car and energy company by stating that Ford could accomplish the same manufacturing feat in just 4 hours.
7000 cars, circa 4 hours. ❤️Ford Team❤️ https://t.co/FZSclsFoS0
— Steven Armstrong (@StevenArmstrong) July 1, 2018
Armstrong’s trolling of Elon Musk’s announcement comes as the latest development in Ford and Tesla’s ongoing Twitter feud. Just recently, Elon Musk incited another sharp retort from the American legacy automaker after he likened Ford’s energy to a “morgue” in a statement to the Wall Street Journal. Considering that Musk expressed his criticism of Ford’s energy during a time when it was uncertain if Tesla could achieve its 5,000/week target for the Model 3, Ford’s VP of Communications Mark Turby quipped back at the serial tech entrepreneur, citing Ford’s capability to roll off a new F-150 truck every 53 seconds from its production line.
Ford’s latest response to Tesla’s production milestone received a notable reaction from thousands of Twitter users. While some found the tweet to be humorous, others noted that Armstrong’s statement might prove to be Ford’s Steve Ballmer moment. Steve Ballmer is a former CEO of Microsoft who infamously laughed off the potential of the Apple iPhone when it was unveiled back in 2007. Just like Armstrong’s response to Musk’s tweet, Ballmer noted in a now-meme-worthy interview in 2007 that Apple was selling zero devices (the iPhone was not yet available for purchase during the interview) while Microsoft was already selling millions of phones every year. As tech history would ultimately prove, however, it would take Apple a very short time before the iPhone helped the Cupertino-based tech company overtake Microsoft in market capitalization. Considering that the Model 3 has been dubbed the “iPhone of cars,” Armstrong’s most recent diss at Tesla’s capability to produce the compact electric car does invoke a lot of Ballmer’s reaction from his interview 11 years ago.
While the Ford Europe CEO’s comment seems to be designed to incite a strong reaction from the Tesla community (it did), the legacy automaker’s retort does come from a place of authority. Ford, after all, is the company that literally started the utilization of an automobile assembly line, with founder Henry Ford introducing it for the Model T back in December 1913. As history would later prove, the assembly line would be Ford’s magic bullet in the automotive industry, allowing the company to dominate American car sales with sheer production numbers and accessibility to the masses alone. This expertise has carried over to the company’s current operations, as reflected by Turby’s mention of the F-150 line rolling off trucks every 53 seconds.
With Tesla attaining a pace of 7,000 Model 3, Model S, and Model X per week, however, Ford would be wise to not underestimate the upstart electric car maker. Tesla, after all, has proven that it is unafraid to innovate outside the industry norm, as demonstrated by the company setting up GA4 in the Fremont factory’s grounds and air-freighting six airplanes worth of robots from Europe to the United States. On top of this, Ford is also dealing with a number of challenges as well, including its recent decision to stop the production of all its cars except the Mustang and the upcoming Focus Active Crossover, which is set to be released next year. Ford is also lagging in terms of EV adoption, with the company yet to release an electric car comparable to offerings from fellow legacy automakers such as GM and Nissan.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
