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Tesla is gathering the pieces for an Alien Dreadnought 2.0 attempt at Fremont
Recent construction permits filed for the Fremont Factory suggest that Tesla is looking to improve the massive electric vehicle production facility’s automation even further. With the plant’s ongoing improvements, it almost seems like Tesla is about to attempt yet another crack at Elon Musk’s once-failed initiative: the “Alien Dreadnought” factory.
The Fremont factory has caught the attention of the nation in the past weeks, as Elon Musk and Tesla locked horns with officials from Alameda County who insisted that the facility remain shut even after California moved to its Stage 2 response for the ongoing pandemic. After a lawsuit, an act of bold defiance from the CEO, some strong words from a CA Assemblywoman against Musk, and support coming from both sides of the political spectrum, the plant was finally allowed to formally return to its normal operations.
But even during the shutdown, Tesla has been exhibiting signs that it intends to improve the Fremont factory. Permits for paint shop improvements were filed, for example, and similar documents were submitted for upgrades in the facility’s vehicle production lines. These lines were speculated to be allotted for Model Y production, which would allow the company to produce the all-electric crossover en masse without any issues.
Just recently, Tesla also filed building permit applications for the addition of “MINO robot riser anchorage structural package” and “MINO Equipment and fixture anchorage” for the Fremont Factory. These may seem a bit understated, though a look at MINO’s expertise provides a notable hint at what Tesla may be planning for its main EV production facility in the United States.
MINO Automation is a firm that provides fully integrated automation production systems that are tailor-fit for its clients. As per the company’s website, MINO specializes in Body in White (BIW) manufacturing systems that concentrate on body framing, laser application, sealing, hemming, resistance welding, and automated stranger systems. MINO works with FANUC Robotics as well, which are also being utilized by Tesla.
A look at Tesla’s recent building permit applications for the Fremont factory shows that the electric car maker is set on improving its plant, and it is also doing what it can to raise its automated processes. Just as Elon Musk intended during the Model 3’s initial delivery event, more automation would likely result in a smooth production ramp. This, of course, is especially important with the Model Y, Tesla’s highest-volume EV to date.
Those who have followed Tesla over the years would know that the company had already attempted an extremely-automated vehicle production approach in the past. Dubbed as Elon Musk’s “Alien Dreadnought” initiative, the program, which was intended for the Model 3, was supposed to be Tesla’s big breakthrough for vehicle production.
Alas, history would show that this was not meant to be, as issues with the over-automated line eventually forced Tesla to adopt a more human-centered approach to Model 3 manufacturing. Even Elon Musk eventually stated that humans are ultimately “underrated.”
But Tesla today is not the same as the company as it was during the early days of the Model 3’s production ramp. Today, Tesla is an experienced mass-manufacturer of electric cars, having produced thousands upon thousands of Model 3 sedans last year. And the company is nowhere near done. Over in Shanghai, Tesla China is attempting to ramp its local Model 3 production at a pace that far exceeds the company’s operations in Fremont.
With this in mind, there seems to be no better time to attempt yet another crack at a hyper-automated factory than today. The Model Y is the perfect vehicle for such an initiative, considering that the crossover is a high-volume car that’s designed to be built in a simple and efficient manner. As per the findings of automotive teardown specialist Sandy Munro, the Model Y seems to be designed for automation, from its rigid wiring systems that are friendly to robots, to its giant casts that eliminate unnecessary parts.
Time will tell if Elon Musk and Tesla are going to attempt another Alien Dreadnought for the Fremont factory. But either way, the remaining months of the year will likely see the California-based electric car production facility manufacturing vehicles at a volume that has never been witnessed before.
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
