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SpaceX’s South Texas Starship factory has a new tallest building
Less than four months after construction began, the newest addition to SpaceX’s South Texas Starship factory is now the facility’s tallest building.
While substantially shorter than the Starship launch tower SpaceX has constructed a few miles down the highway and likely still a few months away from completion, Starbase’s new ‘wide bay’ became the tallest on-site manufacturing building on February 17th, 2022. Barring surprises, it’s poised to substantially improve the factory’s maximum Starship and Super Heavy booster production capacity within the next few months.
On February 17th, after extending the crane used for the task, SpaceX and contractors installed the first prefabricated section of the wide bay’s fifth ‘level,’ raising the new structure slightly higher than Starbase’s ‘high bay’ assembly building – the previous record holder. Measuring around 85 meters (280 ft) tall, the high bay is currently used for all Super Heavy booster assembly and also supports the final ‘stack’ of Starship prototypes, which – when fully stacked – are taller than the ‘mid bay’ their tank sections are first assembled in.
SpaceX and its primary contractor began assembling the high bay in July 2020. The building reached its full height by early October and was ready – with a slight workaround – to start stacking SpaceX’s first Super Heavy booster prototype by January 2021. Despite the fact that the new building is significantly larger and requires several times as much framework, SpaceX’s ‘wide bay’ assembly has only taken slightly longer. Based on past trends, it will likely take less than a week for all four sections of the wide bay’s fifth level to be installed, at which point the whole structure will be approximately 90 meters (~295 ft) tall.
It remains to be seen if the wide bay will get a smaller sixth level for its roof. SpaceX turned the top of the high bay into a combination of a bar, meeting room, entertainment venue, and an observation deck with wraparound windows.
SpaceX has never used the high bay to stack more than one vehicle (Starship or Super Heavy) at a time, seemingly implying that it only has enough usable floor space for three 9-meter (30 ft) wide sections of either rocket. Measuring about 40 meters (130 ft) tall, Starbase’s ‘midbay’ is the hub for Starship tank section stacking but is too short to be used for nose section installation.
If SpaceX maintains its pace, the wide bay could easily have its basic structure completed by the end of next month. Additionally, a supplier has already delivered most of the components needed for the wide bay’s two large bridge cranes, meaning that SpaceX likely won’t have to cut a hole in its roof – like it was forced to do with the high bay – to begin using the new building as soon as possible.
It’s not entirely clear how the wide bay will integrate into the current ship and booster assembly flow but the building will likely measure around 35m by 50m wide (115 ft x 165 ft), 95-100m (310-330 ft) tall, and offer approximately twice as much usable surface area as the high bay upon completion. CEO Elon Musk says that SpaceX’s goal for Starbase is to complete at least one Starship and Super Heavy booster per month by the end of 2022. With the wide bay and some general streamlining, that may actually be achievable.
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.
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
