Tesla is adding another tent to its Fremont Factory property, but it will not directly be used for production. Along with the new tent, Tesla has filed for several other things at Fremont, including Model S and Model X manufacturing line upgrades, and an update to the battery equipment production line project that Teslarati revealed in late August.
A new tent at Fremont, but not for production
Tesla has long utilized a heavy-duty tent known as a Sprung Structure for the production of the Model 3 and Model Y. Tesla has two of these “tents” on the Fremont property that it uses for automotive production, which are commonly referred to as General Assembly 4 and General Assembly 4.5.
The tents were initially thought to be a temporary place for production, but Tesla has since kept the structures built. In February 2021, Teslarati showed that Tesla filed with the City of Fremont to make the GA 4.5 tent permanent. The automaker applied for foundation implementations and permits to install below-ground utilities under the structure. It was part of a 64,000-square foot expansion of GA 4.5, as the Model Y had become Tesla’s most popular vehicle. It was also the only factory building the Model Y at the time.
Tesla has now filed to build yet another “temporary exterior tent,” according to filings seen by Teslarati. The company does not plan to utilize it for automotive production, at least not directly. Instead, the tent will provide coverage for tools, likely so they can be moved outside the production space but still be nearby and protected. The project’s cost is listed as $140,000.
Space and storage have been an issue for Tesla at the Fremont factory. A Morgan Stanley note from earlier this year indicated that Tesla was extremely confined in the factory, and expansion seemed like the only obvious option.
Tesla is considering a significant expansion of its Fremont Factory
Of course, Tesla is expanding with other factories, but Fremont is its longest-standing automotive manufacturing property. It is the only factory Tesla has producing all four vehicles, and the company has discussed expanding the property considerably. Elon Musk said earlier this year that Tesla was considering making the factory larger to accommodate more production. Teslarati reported on filings and drone footage that revealed Tesla may be taking early steps to make Fremont considerably larger so it can build more vehicles.
Battery Manufacturing Equipment Line Update
In late August, we reported that Tesla had filed to build a battery manufacturing equipment line on the second floor of the Fremont Factory. The project was valued at $1.5 million.
Tesla said in the filing:
“NEW BATTERY MANUFACTURING EQUIPMENT LINE ON 2ND FLOOR OF MAIN ASSEMBLY BUILDING. THIS PERMIT APPLICATION RELATES TO THE MODULE PORTION OF THE LINE.”
Another filing with the City of Fremont reveals Tesla is making progress on the project. It is now moving forward with the site plan, including the equipment layout, exhaust, power for the equipment, and a process piping plan. Tesla reiterated this project is taking place on the second floor:
“This project is located on the second floor of assembly building. Package will include equipment layout, tool anchorage plan, exhaust, power for equipment, and process piping plan.”
This filing is separate from the previous one and also has a cost of $1.5 million.
Model S and Model X manufacturing equipment upgrades
Tesla has also made numerous upgrades on the Model S and Model X production lines. On August 23, Tesla installed new rocker cell tools, and associated utilities which are automated arms used in production.
On September 20, Tesla also filed to install a new SubFrame Lift Assist, which “will help improve production associates’ ergonomic safety,” the automaker said in the filing.
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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.”
News
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
