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SpaceX rolls naked Starship prototype to test site
SpaceX has rolled a strange, naked Starship prototype from its Starbase, Texas factory to a nearby test site.
Beginning with its cone-tipped nose section, SpaceX started stacking Starship S26 in October 2022. By early January 2023, the prototype had been stacked to its full 50-meter (~165 ft) height and welded together. After about six more weeks of outfitting, Ship 26 left Starbase’s High Bay assembly facility and was transported to one of two stands formerly used for suborbital Starship test flights.
SpaceX lifted Ship 26 onto Suborbital Pad A on the morning of February 12th. Just a few hundred feet to the left, Starship prototype S25 watched from Suborbital Pad B while waiting for the start of its Raptor engine test campaign. Ship 26 is four months younger than Ship 25 and rolled out without Raptors installed, as it still needs to pass several simpler tests. That’s far from the only difference between the Starships.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Starbullet
Aside from a range of smaller design changes, Ship 26 has three main differences relative to most prior Starships. First, it has zero heat shield tiles. Since the 2020-2021 period of suborbital Starship flight testing, all finished ships (S20, S21, S22, S24, S25) have been fitted with ~10,000 black, ceramic heat shield tiles. Eventually, those tiles will (theoretically) protect Starships from the intense heat created by reentering Earth’s atmosphere at orbital velocity.
Ship 26 also has no flaps. Since SpaceX first fully assembled a Starship in October 2020, every ship the company has completed (SN8, SN9, SN10, SN11, SN15, SN16, S20, S21, S22, S24, S25) has had four large flaps and form-fitting ‘aerocovers’ installed. Starships need flaps to steer and orient themselves during orbital reentries. They also need flaps to control themselves during exotic landing maneuvers, which require ships to free-fall belly-down (like a human skydiver) and aggressively flip into a vertical orientation for propulsive landings.
Finally, and most confusingly, Ship 26 has no payload bay of any kind. The end result is a smooth, featureless Starship that looks like a steel bullet, can’t return to Earth, and can’t deploy satellites. Combined, the fact it exists at all almost seems like an elaborate, multi-month mistake. But SpaceX clearly intended to build Ship 26 and is now preparing to qualify it for flight.
Depot, Moon lander, or something else?
In simpler terms, Ship 26 is an intentionally expendable Starship with no way to launch satellites. That raises the obvious question: why does it exist? There are a few obvious possibilities. SpaceX is developing at least four types of Starships. The Crew and Tanker Ships will have heat shields and flaps. The Starship Moon lander will have no flaps or heat shield and will be painted white and insulated. A Depot Ship with stretched tanks will stay in orbit permanently and store propellant for in-space refilling.
Based on low-resolution renders, the bullet-like Depot Ship is the most reminiscent of Ship 26. However, there’s no evidence that Ship 26 has “exterior optical properties [optimized] for long duration [propellant storage].” The prototype also lacks any of the hardware likely needed for docking or propellant transfer and has propellant tanks that are the same size as past ships. To survive in orbit for days or weeks, it would need some kind of power source – typically solar arrays – that isn’t present. And even if an expendable Starship like S26 can already achieve SpaceX’s reported target of 250 tons (~550,000 lb) to low Earth orbit, 250 tons is only a fifth of a full propellant load.
Ship 26 could also be used for miscellaneous systems testing or a longevity demonstration in orbit. However, it’s unclear why SpaceX couldn’t simply do that with Ship 24 and Ship 25. Both have had their payload bays permanently sealed, meaning that they are only useful as test articles. The same is true for a tank-to-tank propellant transfer test SpaceX received a NASA contract to conduct in 2020. During that test, Starship will transfer “10 metric tons” of cryogenic liquid oxygen (LOx) between its main LOx tank and a smaller header LOx tank used to store landing propellant. But all Starships built to date have header tanks and could be used for the same test.
Ship 26 could exist primarily to demonstrate that a Starship with no flaps or heat shield tiles is aerodynamically stable during launch. However, expending an entire Starship for what amounts to wind tunnel testing would be extravagant.
Preparing for flight
Regardless, Ship 26 is clearly destined for more than the scrapyard. The bullet-like prototype was installed on Suborbital Pad A, which SpaceX has modified for cryogenic proofing and structural testing. While coordinating with Ship 25, which needs to conduct static fire tests, Ship 26 will be pressurized and loaded with liquid nitrogen, liquid oxygen, or both to safely simulate the thermal and mechanical loads it will experience when filled with propellant. The stand is fitted with hydraulic rams that can simultaneously simulate the thrust of six Raptor engines (1380 tons / 3M lbf).
If it passes those tests, SpaceX will presumably return Ship 26 to the Starbase factory for Raptor installation. Strangely, the smooth Starship isn’t alone. It appears that Ship 27 will be more or less identical, with no heat shield or flaps. However, there’s evidence that Ship 27 will have the first working payload bay on a Starship and could be used to deploy full-size Starlink V2 satellites in addition to any other testing SpaceX wants to use it for.
The most exotic (and unlikeliest) explanation for Ship 26 and Ship 27 is that the pair is meant to support SpaceX’s first Starship docking and propellant transfer test. In October 2022, a NASA official indicated that SpaceX’s second Starship test flight would be a “Starship-to-Starship propellant transfer.”
For now, SpaceX’s priority is preparing Ship 24 and Super Heavy Booster 7 for Starship’s first orbital launch attempt, followed by preparing Ship 25 and Booster 9 for the second orbital test flight. Until then, Ship 26 and Ship 27 will likely remain a bit of a mystery.
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
