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The case for Tesla to operate multiple car factories in the US has never been stronger
The recent controversial events surrounding Tesla and its main electric vehicle production plant in Fremont, CA, is one that will likely have repercussions on the company’s future. But beyond the controversy, the recent events surrounding Fremont highlight one key point: it is in Tesla’s best interests to ensure that its vehicle production facilities will no longer be exclusive to one state.
The Fremont factory and Alameda County’s insistence on keeping it closed has resulted in Tesla filing a case against the county. So far, the mayor of the City of Fremont and the City Palo Alto have sided with Tesla, and Elon Musk has remarked that the company’s HQ and future projects will be relocated to other sites, such as Gigafactory Nevada and a Texas site. In the midst of this all is a County Public Health Officer who has reportedly ignored Tesla’s efforts at proposing a reopening plan for the Fremont factory.
What is pretty ironic is the fact that among the carmakers currently operating a production facility in the United States, Tesla is arguably the most experienced in dealing with the COVID-19 pandemic. The electric car maker has successfully dealt with the virus in Shanghai, and following a government-mandated shutdown, Tesla was able to return to regular operations gradually. Once reopened, Gigafactory Shanghai adopted a series of serious anti-coronavirus strategies that helped the company’s workers stay safe despite the pandemic. Tesla intends to do the same in Fremont, if not more.
For now, reopening the Fremont factory will likely be the result of pressure on the county or a serious stroke of fortune that would allow Tesla and the County Public Health Officer eye-to-eye. Each of these requires more than its own stroke of luck, but it doesn’t necessarily have to be. That is, if Tesla has multiple electric vehicle production facilities in the United States. If Tesla has another factory in the US located in an area that is more supportive of the company, it would not have to go through legal means to reopen its primary production facility.
Tesla’s next facility will likely be located in Texas, and so far, Sen. Ted Cruz has stated on Twitter that the state is fully behind the electric car maker. Texas actually makes sense for Tesla, especially considering that SpaceX, Musk’s private space venture, already has a facility in Boca Chica. If speculations prove right, Tesla can very well be building its first Terafactory in the state, which will be making the Cybertruck, and perhaps other vehicles like Model Y and Semi as well.
Tesla is now at a point where it is producing vehicles that are not intended for a small demographic of car buyers. With the advent of the Model 3 and the Model Y, as well as the upcoming Cybertruck, Tesla is taking on the mainstream market, an industry that counts its production numbers in the hundreds of thousands. This means that the company is now poised to meet the juggernauts of the auto industry like General Motors and Volkswagen head-on, provided that it has the resources to do so. It just has to make sure that its vehicle production activities could not be stopped just because of a single factory shutdown.
With this in mind, it may be a good idea for Tesla to expand its vehicle production capabilities far beyond the Texas Gigafactory/Terafactory. Tesla’s vehicle lineup does not end with the Cybertruck, the Roadster, and the Semi, after all. References to a Tesla van have been stated before, and Tesla has also hinted at a vehicle that’s smaller and more affordable than the Model 3. The more successful Tesla gets, and the more advanced the company’s Full Self-Driving suite becomes, the healthier the demand for Tesla’s vehicles will be. To accomplish this, it may be a good idea to look at legacy auto’s playbook for once, and start establishing car factories across the United States.
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
