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Tesla Giga Texas production moves closer as paint shop machinery arrives
The initial production runs at Tesla’s Giga Texas facility are moving closer to reality. A new drone video from a local resident shows Giga Texas’s paint shop facility is set to begin construction soon as paint application machinery has arrived on site.
With Tesla scheduled to begin production at Giga Texas later this year, crews are on-site daily to complete what will be Tesla’s largest production facility to date. One of Giga Texas’s primary focuses is completing the work of the main structure, which appears to be coming along at a reasonably fast pace, something Tesla has displayed at its other manufacturing facilities in China and Germany. With Giga Texas several months into construction, specific areas of the facility are beginning to be erected as the first production runs move closer with every passing day.
A new shipment of containers was spotted at the facility on Monday evening by YouTube channel Terafactory Texas, who spotted seven large boxes that appear to be housing several elements of what will be the Giga Texas paint shop.
Three of the containers say “TC Mod, while three others say “E-Coat.” The final container says “Top Coat,” meaning all seven containers are likely headed to the paint shop as their descriptions align with machinery that would be found within an automotive paint application facility.
E-Coat, or electrocoating, also known as electropainting in some regions, is a process used in automotive paint shops everywhere. For several years, Tesla has used this process as evidence points to a 2012 blog post from the electric car manufacturer.
Credit: Terafactory Texas | YouTube
The company detailed its paint process to ensure quality and corrosion protection:
“First, a Body-in-White is submerged into our pre-treatment bath where the aluminum gets prepared for its first treatment layer. We then dip Model S into a 75,000-gallon tank of advanced electro-coating solution to enhance the appearance of subsequent paint layers. After this e-coat dip, the car goes through a 350° F oven to ensure a “baked on” protection against corrosion.”
E-Coating is a process that has been used for around 50 years, according to ClearClad.com. Originally used to apply an anti-corrosive coating to steel car bodies, the process is now used for various consumer goods like hardware, jewelry, eyeglass frames, and giftware, among several other things. Electrical activity around the vehicle’s surface makes paint resin stick directly to a surface, creating a strong bond between the car and the paint.
TC Mod could stand for “temperature control module,” which would indicate that these containers are carrying HVAC units that are ideal for paint shops. In order for paint to have a strong bond and set correctly on an automotive body, it must be applied and dried in certain conditions. These modules would ensure that Tesla’s paint application process is done at correct temperatures, eliminating any possibility of a weak paint application.
Tesla has worked extremely hard to improve the quality of its paint shops. After paint quality was among the most common complaints from owners, Tesla managed to revamp its facility at the Fremont factory last year as the pandemic slowed production. Several applications acquired by Teslarati showed that Tesla was working to increase fire protection efforts within the paint shop, among some other projects. It worked, as the paint has improved according to some owners, including veteran teardown expert Sandy Munro, who was extremely impressed with the quality of his Model 3’s paint job during a recent drive across the country.
Giga Texas is expected to handle Model 3 and Model Y production for the Eastern half of North America. It will also manufacture the Tesla Cybertruck in either late 2021 or early 2022.
https://youtu.be/N2WG8BoD4c0
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
