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Tesla Model X Production Line Coming to Life
Elon Musk is proud of the new assembly line at the Fremont factory, which can be configured to build two different cars depending on consumer demand.
Elon Musk teases new Tesla production line powered by sea of robots
The Tesla Fremont factory recently shut down to add Production Line 2. The new line will be able to build both Model S and Model X automobiles — and it looks scarier than ever. Elon Musk’s recent Instagram photo of the new production line says there are a total of 542 robots installed along the line, with 15 working simultaneously at the central assembly point. Sharp eyed viewers insist there is a Model X chassis being worked on underneath all those robots.
>>>> HOT: Tesla opens up its Model X Design Studio to Signature reservation holders
Since the Model X crossover SUV will be built on much the same chassis as the Model S sedan, the ability to dynamically adjust the production line by model will provide a degree of flexibility unheard of in the industry. It will also help the company learn how to build the upcoming mass market Model 3 efficiently so the company can achieve its goal of making 500,00 cars a year by 2020.
https://instagram.com/p/6-7QX2QEba/?taken-by=elonmusk
Musk’s enthusiasm for his shiny new army of robots is in sharp contrast to his avowed aversion to the dangers of Artificial Intelligence. He told the MIT Aeronautics and Astronautics department’s Centennial Symposium last October, “I think we should be very careful about artificial intelligence. If I were to guess like what our biggest existential threat is, it’s probably that. … Increasingly scientists think there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.” Then he added: “With artificial intelligence we are summoning the demon.”
Before that meeting took place, he tweeted:
Hope we're not just the biological boot loader for digital superintelligence. Unfortunately, that is increasingly probable
— Elon Musk (@elonmusk) August 3, 2014
Then in January of this year, he donated $10,000,000 to help find ways to control Artificial Intelligence, calling it “potentially more dangerous than nukes.”
“It’s best to try to prevent a negative circumstance from occurring than to wait for it to occur and then be reactive,” Musk said. “This is a case where the range of negative outcomes, some of them are quite severe. It’s not clear whether we’d be able to recover from some of these negative outcomes. In fact, you can construct scenarios where recovery of human civilization does not occur. When the risk is that severe, it seems like you should be proactive and not reactive.”
In July, Elon Musk joined with Stephen Hawking and 1,000 other noted scientist in petitioning the United Nations to ban the development and use of autonomous weapons. The letter was presented at the 2015 International Joint Conference on Artificial Intelligence in Buenos Aires, Argentina.
Is there any danger that the robots on Tesla Production Line 2 will run amok and threaten the good citizens of Fremont with mayhem or subject them to involuntary servitude? Probably not. But they should be aware that, no matter how proud of them Elon Musk may be, he will always be keeping a watchful eye on them.
Source: Washington Post/The Verge
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
