A $500 million, 2,500 home development project will come to the City of Austin located near Tesla’s Gigafactory Texas as the electric automotive plant is catalyzing employment in the area and bringing on a need for more housing.
Hines, a real estate development company based out of Houston, has plans to develop a $500 million housing community on 1,400 acres. The plot of land will be large enough to have 2,500 new houses and between 1,250 and 2,000 multifamily units. Mirador, the project’s name, will be developed in the southeastern portion of Austin, in a location within close proximity to Tesla’s Gigafactory Texas, as just a fifteen-minute drive will get you to the factory from your front door.
Dustin Davidson, a managing director for Hines, said that the influx of employment opportunities, especially Tesla’s new factory, have surged the market for Austin’s residential real estate. “Lots of employment opportunities coming; Tesla’s obviously the big one, but they’re just one of many, and we believe more will come,” Davidson said to the Austin Business Journal (via KXAN).
Hines announced details of the project on its website:
“Mirador will consist of 2,500 single-family lots, 50 acres of multi-family and townhomes (including attached, detached, duplexes, quadplexes) and 75 acres of commercial land. The development will continue a partnership with Gehan Homes and Lennar Homes, add David Weekley Homes, Highland Homes, MHI Homes, and will bring on more builders to in the future. Conveniently located off the 130 Toll and Highway 71, the community offers a suburban ambiance with easy access to the new Tesla Gigafactory, the Circuit of the Americas Formula One racetrack, as well as all the local restaurants, parks, live music venues and other attractions Austin offers in under 15 minutes. Plus, residents can make use of the convenient on-site amenities, such as the 60-acre lake, over 600-acres of greenbelt, community parks, extensive trails and swimming pool.”
Tesla’s Gigafactory Texas is expected to amend an area weakened by the COVID-19 pandemic. Travis County officials launched a “Declaration of Disaster” in March 2020, and Federal Reserve data showed a 10.2 percent spike in unemployment filings from April 2019 to April 2020. According to a presentation given by Tesla in June 2020, the automaker projected that its new plant would supply “5,000 middle-skill jobs that fit a targeted economic development need” and would directly contribute $600 million in annual sales activity. The factory was also expected to create 4,000 new non-Tesla jobs due to “secondary effects.”
Gigafactory Texas’ most recent estimates have projected at least 15,000 new jobs both directly and indirectly at the plant. As of October 2021, Tesla had already created 5,000 new jobs in Austin, the most that any company had created in 2021. Amazingly, Tesla has not received an approval certificate from the State that would allow it to build vehicles at the plant and deliver them to customers, yet it still created more jobs than any other company in the Austin area last year.
Tesla Giga Texas drive-bys show just how massive Elon Musk’s Cybertruck factory really is
Austin: America’s New Hot Spot
Austin has been one of the United States’ most heavily developed cities in the past several years. Tesla may be the biggest name to move its corporate headquarters to the City, but it is not the only company to establish a relatively drastic presence in the area. Google is investing $50 million in Texas this year to develop office space. Amazon is building a new 3.8 million square foot distribution center in nearby Pflugerville. Apple is building a $1 billion campus in north Austin and will move some of its employees to the area.
However, Tesla’s Factory seemed to spark the job creation, according to Austin-area realtor Paul Smith. “Once Tesla was announced, now all of a sudden you have job creation. That’s the one thing that it didn’t really have is, southeast Austin was kind of neglected for a little bit, right?” Smith said. The surge of corporate projects in the area has contributed to skyrocketing home costs. The neighborhood closest to Mirador had its average house price jump $93,000 from December 2020 to December 2021, Redfin data suggests.
The influx of economic growth, which has largely been fed by the vast number of projects and companies headed to the region, has largely fueled housing costs to skyrocket thanks to increased demand. More families will move to the Austin area in the coming years due to its attractiveness to corporations and large companies. Austin was ranked #1 on Zillow’s hottest housing market for 2021. In 2022, the City ranks 10th.
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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.”
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
