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Tesla is pushing the limits of its proven Gigafactory formula in Texas
Tesla has, for all intents and purposes, developed a strategy for building its Gigafactories in a quick and efficient manner. This was shown in Gigafactory Shanghai, which started mass production of the Made-in-China Model 3 within a year after its groundbreaking ceremony, and in Giga Berlin, which is now also taking form despite the trickle of permits from German authorities.
Tesla’s Gigafactory formula seems to have been inspired by GA4, a “tent”-based Model 3 production line constructed in the Fremont Factory grounds as a way for the company to manufacture more vehicles during a period described by Elon Musk as “production hell.” The concept of GA4 was simple. Cars are progressively assembled as they pass through the sprung structure, while supplies are delivered through the loading bays at the side.
A look at Gigafactory Shanghai suggests that the facility is but a more permanent and evolved form of GA4, from its straightforward vehicle assembly process to its numerous loading bays. This was true for both the first and second phases of the facility, which produce the Model 3 and Model Y, respectively. Giga Shanghai’s construction was extremely rapid, with crews working 24/7 to finish the Phase 1 building’s factory shell. Once this was done, equipment was installed, and trial production of Model 3 test units started.
Gigafactory Berlin appears to be following a relatively similar pattern. During the massive facility’s buildout, it seemed that equipment was only installed after the complex’s buildings themselves were nearing completion. Granted, part of this may be due to the fact that Giga Berlin had to be constructed according to the permits that the facility receives. But despite this, the German plant seems to be progressing at a pattern that is quite similar to its China-based counterpart.
This does not seem to be true for Gigafactory Texas at all. Over the past months and as the facility enters its eighth month of construction, the activities surrounding Giga Texas have been incredibly interesting. In January, shipments from IDRA, the company behind the Model Y’s massive Giga Press in the Fremont Factory, were spotted in the complex. What appeared to be robots for vehicle production lines were spotted not long after.
Recent flyovers of the Gigafactory Texas complex suggest that there is now a steady stream of equipment being delivered and possibly being installed on the site. This was evident in a recently shared video from the Terafactory Texas YouTube channel, which captured images of what seemed to be Model Y Body-in-White machines being moved around the area.
It should be noted that Gigafactory Texas has only been under construction for eight months, and a significant part of its factory shell is yet to be completed. Despite this, Tesla already seems intent on initiating the installation and setup of its production equipment. This includes its Giga Press machines, which would produce the Model Y’s single-piece rear underbody.
This strategy would require a great deal of synchronization, of course. But if successfully done, such a system could result in Giga Texas being built at a rate that’s significantly faster than Giga Shanghai or Gigafactory Berlin.
Overall, it appears that over the years, Tesla has come up with a solid formula that enables the company to build its Gigafactories quickly. But in true Elon Musk fashion, Tesla seems to be determined to improve a proven formula nonetheless. Gigafactory Texas is quite fascinating in this sense, as it could very well be a project that demonstrates once and for all that it takes boldness and a constant urge to innovate to truly change the industry.
Watch a recent flyover of the Gigafactory Texas complex in the video below.
https://youtu.be/kaKI7aMG6_k
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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
