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SpaceX Starship’s Raptor engine test facilities are about to get a big upgrade, says Elon Musk
According to CEO Elon Musk, SpaceX’s Starship and Super Heavy rockets are about to get a new test stand that will enable additional and more useful static fire tests of their Raptor engines.
These modifications could reportedly lead to a simplified engine design and will generally expand SpaceX’s ability to rapidly acceptance-test a huge number of Raptors – a necessity given that each Starship/Super Heavy pair will need up to 43 engines.
Musk’s additional insight came by way of a tweet response to an article published today on NASASpaceflight.com, discussing SpaceX’s recently-unearthed plans to reactivate a test stand that hasn’t seen use in almost half a decade. Known as the tripod stand, the large concrete structure was originally built in the 1990s by Beal Aerospace, a now-defunct spaceflight startup, and came under SpaceX ownership when the company bought the McGregor, Texas facilities in 2003.
SpaceX repurposed the stand to static fire Falcon 9 boosters for a number of years, eventually replacing it with a ground-level installation in 2015 that has since been used to test more than 60 Falcon 9 (and Heavy) boosters. It’s not a huge surprise that SpaceX decided to make the change, given that the tripod stand necessarily placed Falcon boosters several hundred feet off the ground, making what was already a challenge even more arduous (and dangerous) for workers.
NASASpaceflight.com also notes that the stand produced far more noise pollution, encouraging SpaceX to move the replacement stand partially underground.
After four years of inactivity, NASASpaceflight.com photos show that SpaceX is well into the process of refurbishing McGregor’s tripod stand. This time, Musk says it will be modified to support vertical Raptor engine testing, likely requiring a new custom mount and new liquid methane and oxygen propellant farms.
By far the most interesting detail to come out of this development is Musk’s indication that moving Raptor static fires to a vertical stand could actually allow SpaceX to simplify the engine’s design by creating more flight-like test conditions (and thus better data). At the moment, all Raptor acceptance testing is done on a separate test stand located elsewhere at SpaceX’s McGregor facilities. Those stands are horizontal, an engineering decision likely motivated by their relatively cheap and fast construction thanks to sidestepping the need for large, water-cooled thrust diverters.
SpaceX does all of its Merlin Vacuum, Merlin 1D, Falcon 9 booster, and upper stage static fire testing on vertical stands at its McGregor facilities, with Raptor’s horizontal stands being the only exception to the rule. As such, it was likely just a matter of time before SpaceX replaced the horizontal Raptor facilities with vertical stands. Given that SpaceX plans to modify an entirely separate stand to support vertical testing, it’s likely that the company will modify the existing stands to support vertical testing as soon as the tripod stand is up and running.
For Falcon 9 and Heavy, SpaceX has relied on a total of five main engine/vehicle test stands: two for Merlin 1D, one for MVac, one for boosters, and one for upper stages. SpaceX builds engines and rockets in Hawthorne, tests every engine separately in Texas, returns them to Hawthorne, installs them on their respective booster/upper stage, and tests those stages in McGregor before they are shipped to their launch site.
Although that sounds undeniably arduous, the four stands pictured above (plus the F9 booster stand further up) have managed to support the entirety of SpaceX’s 82 launches. A new upper stage test stand is being built, but it has yet to be completed and is only necessary because Falcon 9 upper stages are expendable. According to SpaceX planning documents, Starship and Super Heavy will only perform static fire testing at the launch site. As such, something like the cluster of four Merlin stands above could very likely support the production and testing of 100-200+ Raptor engines annually, enough to build numerous boosters and ships.
SpaceX moves fast, so stay tuned for updates as work continues on the tripod stand and paves the way for even more significant changes at SpaceX’s McGregor, Texas test facilities.
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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.”
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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
