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Elon Musk’s Tesla ‘Alien Dreadnought’ factory is coming to form–just not where critics expect it
There are many aspects of the Tesla ecosystem and Elon Musk’s past forecasts that critics love to attack. Among the most notable of these is the CEO’s vision of an “Alien Dreadnought” factory, an electric car production facility that is so automated, it resembles the extraterrestrial machines depicted in pop culture. Contrary to what critics today would say, Tesla’s hyper-automated factory is actually coming to form — it’s just not where it was initially expected to be.
Elon Musk’s Alien Dreadnought concept was initially intended for the production of the Model 3. Perhaps this is the reason why Musk originally announced an incredibly aggressive timeframe for the all-electric sedan’s ramp. Those who have followed the Tesla story over the past few years would know that the dreadnought did not come to pass. As issues mounted and delays became more prominent in the Model 3 ramp, Tesla and Elon Musk were forced to abandon the idea and instead adopt a manufacturing system that uses machines and people.
The Fremont factory continues to function in this manner until today. Just recently, Tesla critics were discussing how much Tesla is failing since it still maintains its sprung structure-based GF4 line. Others mocked the fact that some Model Y were getting accessories such as floormats installed on the grounds of the Fremont factory. While some criticism is warranted considering that Elon Musk’s Alien Dreadnought factory is yet to pass in its main vehicle plant, one thing is conveniently forgotten by critics: the Fremont factory is not the only Tesla facility that’s producing vehicles today.
Over in China, Tesla’s Gigafactory Shanghai is now back to full operations. And true to its reputation, the facility’s buildout continues to be insanely quick. The production of the Made-in-China Model 3 is already ongoing, with recent reports stating that around 3,000 units of the all-electric sedan are being manufactured every week. The construction of the Phase 2 zone, widely considered to be a facility intended for Model Y production, is also continuing at a rapid pace. Based on the way Gigafactory Shanghai is designed and the way that it’s ramping, it appears that the facility is well on its way towards becoming the first of Elon Musk’s Alien Dreadnought factories.
One thing that may be worth considering is the fact that the Fremont factory was not designed by Tesla. The California-based car factory’s history dates as far back as 1962, when it operated as the General Motors Fremont Assembly site until 1982, when it was closed. The plant was reopened in 1984 as the New United Motor Manufacturing, Inc. (NUMMI) plant, a joint venture between Toyota and General Motors, where it continued to produce vehicles until 2010. Tesla later bought the factory to produce the Model S sedan, a decision that was panned by critics then as an unnecessary expense.
With this in mind, it could be said that Tesla was not able to start with a blank canvas for its electric car production activities in the Fremont factory. The facility was constructed with conventional car making in mind, and Tesla essentially had to adapt its processes to the factory’s layout. Elon Musk’s admitted hubris aside, it would be quite a challenging endeavor to convert an automotive factory that was initially opened in 1962 into a hyper-automated, futuristic electric vehicle manufacturing machine. These challenges do not exist in Gigafactory Shanghai.
For its China-based site, Tesla was able to design a factory that’s optimized from the ground up for EV production. A look at the activities in the Phase 1 building would show that the site has notable similarities with the Fremont factory’s “tent-based” GA4 line, with its straightforward production process and its easy access to supply trucks. In a way, Gigafactory Shanghai’s Phase 1 zone is GA4 on steroids, and it seems to be working very well so far. With Gigafactory 3 now running, and with the facility’s Model Y production site coming to form, Tesla now has another opportunity to pursue Elon Musk’s Alien Dreadnought idea. But this time around, the company will be attempting the concept from a blank slate. And that might make all the difference.
The signs are already there. Recent drone flyovers in the Gigafactory Shanghai site show deep excavations connected to the Phase 1 building’s stamping area. Tesla has not revealed that the area is intended for, though speculations among the electric car community suggest that the location may host the company’s giant casting machine, which is designed to make vehicles easier to produce.
Elon Musk and Tesla have teased that the massive casting machine will be used for the Model Y, but the company may be looking to adopt such a technique for the Made-in-China Model 3 as well. And this is just the tip of the iceberg. Considering that it’s working with a blank canvas in Gigafactory Shanghai, Tesla can explore and develop automated vehicle production processes that would make the facility deserving of Musk’s Alien Dreadnought title.
Ultimately, it may not be too long before Tesla critics would have to swallow yet another bitter pill. Elon Musk’s Alien Dreadnought concept lives on, and while it may not be starting at the Fremont Factory as initially intended, there is very little that could stop the electric car maker from adopting the idea in facilities beyond Gigafactory Shanghai. Gigafactory Berlin will undoubtedly be incredibly automated as well, and there’s a good chance the Cybertruck Gigafactory will be too.
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
