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Tesla is looking to build on-site housing for Gigafactory 1 employees, says Elon Musk
At some point in the future, some employees working at Tesla’s Gigafactory 1 in Nevada would be able to simply walk or bike to their homes after a shift at the massive facility. Tesla is looking to expand Gigafactory 1, with Elon Musk recently stating during a conversation with NV Gov. Brian Sandoval that he envisions the company to hire more than 20,000 people for the factory. To help house this upcoming influx of workers, Musk noted that Tesla is looking to create an on-site housing compound in Gigafactory 1’s premises.
Tesla’s NV Gigafactory is less than 30% complete, but it already employs roughly 7,000 people. During a technology and innovation summit held at the factory on Tuesday, Elon Musk stated that in order for Gigafactory 1 to hit its target number of employees, the area needs to offer more infrastructure, such as schools, buildings, roads, and affordable housing. As a way to address the need for more housing units for Gigafactory 1’s future workers, Musk noted that Tesla is considering a project that involves building a housing compound for its employees.
“The biggest constraint on growth here is housing and infrastructure. We’re looking at creating a housing compound on site at the Gigafactory, using kind of high-quality mobile homes,” Musk stated.
Nevada’s real estate market was affected by the arrival of Gigafactory 1. The state of Nevada took a blow during the housing crash and recession, and by 2010, the state had a 14% unemployment rate, with more than 175,000 Nevada residents being unemployed. When Brian Sandoval became governor after winning the 2010 race, Nevada was ranked as one of the worst states in terms of bankruptcies and home foreclosures. To push the state’s recovery, Sandoval worked to attract tech companies to set up shop in the state. One of these companies was Tesla, which chose Nevada as the site for its Gigafactory 1.
Gigafactory 1 is located about 25 miles east of Reno, NV. For now, many of the facility’s employees live in Reno, as well as several surrounding cities linked to the battery factory via I-80 and the newly-completed Hwy 50, such as Carson City, Fernley, and Sparks. Real-estate prices in areas around Gigafactory 1 have risen over the past years. In Reno alone, the average monthly rent is now $1,318 per month, a 58% increase over rental rates six years ago. In the Reno/Sparks area, median home prices recently hit an all-time high, reaching $389,000 in July. Considering Musk’s new guidance, Gigafactory 1’s employees would almost triple once the facility is complete. Thus, there is definitely a need for practical, affordable housing around the facility.
It remains to be seen what type of housing Tesla would introduce for Gigafactory 1’s employees. That said, the housing initiative does go in line with some ideas that Elon Musk recently expressed. During his now-infamous podcast with Joe Rogan, for one, Musk teased the concept of a smart home with a more efficient air conditioning system. Musk’s side venture, The Boring Company, has also developed the Boring Bricks, which are designed as a cost-effective way to construct homes. Considering Elon Musk’s penchant for the creative, there is a good chance that Tesla’s on-site housing compound at Gigafactory 1 might feature some notable elements as well.
The concept of the mill towns, or settlements that are built around factories, have been around since the late 1800’s. In recent years, some of Silicon Valley’s most prominent companies have explored a rather similar concept. Last year, for example, Google and Facebook issued a proposal to build self-contained towns near their respective headquarters. These towns would feature amenities such as their own grocery stores, shops, cafes, movie theaters, gyms, and hundreds of apartments that can accommodate the companies’ expanding employee base. If Elon Musk’s words would prove to be true, it might only be a matter of time before a sort of “Tesla town” emerges just outside of Reno, Nevada.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
