From Fremont, California to Shanghai, China, Tesla is establishing a production chain that is poised to grow together with the electric vehicle movement. But with CEO Elon Musk’s announcement that Tesla was scoping out locations for a new Cybertruck Gigafactory central United States, Tesla is now seemingly getting ready to enter the Heartland of the country. That’s a place where the internal combustion engine still reigns supreme, and where Teslas are still stereotyped as vehicles that are not for the mainstream.
A Gigafactory in the center of the United States serves several purposes. Logistically, an electric vehicle facility in the area would cut down on vehicle delivery times, especially for the East Coast. It would also allow for a complete focus on the Cybertruck until Model Y production also begins at the plant. But apart from these efficiencies, Tesla’s upcoming facility also has the potential to break the final stereotypes around Tesla’s vehicles once and for all.
In a way, Tesla’s presence in the middle of America establishes the company’s footing in a section of the country that has been an evident battleground for the electric carmaker. Central United States is widely perceived as an area where Silicon Valley-style solutions such as Teslas are not effective, as places where farming, agriculture, and other hard-nosed industries do not seem compatible with the sleek, streamlined electric vehicles from the company. A big part of this is the impression that Tesla’s vehicles are only for those with money, and not for the working man.
Scouting locations for Cybertruck Gigafactory. Will be central USA.
— Elon Musk (@elonmusk) March 11, 2020
Interestingly enough, the same people who would benefit the most from a vehicle like the Cybertruck are also stereotyped as a demographic that is far from being able to “afford a Tesla.” While Tesla prices have dropped over the past few years thanks to increased battery production and manufacturing efficiencies, there is still a pervading idea that the company’s electric cars are still out of reach for most car buyers. This is, of course, untrue, with the Model 3, Model Y, and Cybertruck priced aggressively.
It has been speculated that Tesla’s new Cybertruck will need a separate production facility to keep up with demand for the vehicle. The polarizing design of the all-electric pickup with its unmistakeable stainless steel exoskeleton has already amassed an unconfirmed half-a-million reservations. Elon Musk has mentioned in the Q4 2019 earnings call that the Cybertruck is seeing a lot of demand as well.
With Tesla producing the Cybertruck in the heart of the United States, legacy automakers may find themselves surprised once more that a disruptive company has taken hold of their longtime demographic. It could, for one, end up accelerating the efforts of legacy automakers such as Ford and GM with regards to their respective electric vehicle programs. Ford will likely not give up its most loyal customers freely to the Cybertruck, after all, and the best way the veteran carmaker could rival Tesla’s pickup would be to release the Ford F-150 Electric.
There are relatively no tell-tale signs of where the Cyber Gigafactory will be built, though rumors of Nashville being a potential site are abounding. Still, one thing remains certain: the impact of a Tesla production plant in the heart of America would break through the long-lived stereotypes that innovation is confined only in places like California. It would prove that with vehicles like the Cybertruck, the electric transition is reaching all corners of the country.
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
