News
SpaceX’s first flight-proven Starship rolled back to factory for likely retirement
While SpaceX has spent the better part of three weeks inspecting the first flight-proven Starship to survive a high-altitude launch and landing, the company appears to have decided to retire the rocket instead of flying it again.
On May 25th, four days after Starship serial number 15 (SN15) was reinstalled on one of SpaceX’s two suborbital launch mounts, a crane was attached to its nose and a transporter staged beside it. One day later, the historic Starship prototype was lifted off of Mount B, installed on that transporter, and rolled away from the launch pad and back towards SpaceX’s Boca Chica, Texas Starship factory.
The day after Starship SN15 was reinstalled on a launch mount, giving SpaceX unrestricted access to its aft, all three of the rocket’s flight-proven Raptor engines – the first of their kind to survive the flight profile intact – were removed. Given the significant value of tearing down and inspecting the first flight-proven high-altitude Raptors, that removal was likely guaranteed regardless of the future of SN15, though it certainly left the Starship at a crossroads.
Having already had its six used landing legs removed, Starship SN15 was left more or less declawed on the launch mount as fans watched with bated breath to see if new legs or engines would be installed. For better or worse, while CEO Elon Musk did indicate that SpaceX “might try to refly SN15 soon” less than two days after its historic landing, it quickly became clear that the company had decided against reuse.
To a degree, especially if SN15’s flight-proven Raptor engines were rendered unusable – as they appear to have been – by exposure to water immediately after touchdown, “reusing” the Starship would be more symbolic than anything. With a thorough inspection, it would be easy enough to determine that the Starship’s structures and mechanical/hydraulic systems would be up for a second launch, but the slow ~10 km (6.2 mi) flight profile ships SN8 through SN11 and SN15 completed was already only relevant for testing Starship’s exotic, unproven method of landing.
In that sense, another fully successful ~10-km launch and landing would only benefit Starship development insofar as it would increase confidence in the landing profile by proving that the first success wasn’t a fluke – however incredibly unlikely that might be. Of note, SpaceX also has not plans to recover the first space-proven Starship, instead (nominally) performing a soft-landing in the Pacific Ocean if the prototype makes it through its inaugural spaceflight without issue.
If that “Orbital Test Flight” is a perfect success, SpaceX will likely have enough confidence – and regulators enough data – to proceed to the first attempt to recover an orbital Starship on land. In the meantime, with orbital launch site buildup now moving at a breakneck pace and tens of millions of dollars of custom pad hardware, giant cranes, and months of work sitting a few hundred feet away from the landing pad, attempting to push the envelope with SN15 likely just isn’t worth the risk.
SN15 is also a historic piece of hardware after its successful landing and there are signs – namely the location SpaceX has moved the rocket to – that the Starship will be put on permanent display beside the factory that built it. There’s a limited possibility that Starship SN16 – all but finished – could be sent to the launch site instead of heading straight to the scrapyard, but any testing would necessarily delay orbital pad construction and any flight activity would likely have to expend SN16 in the ocean rather than risk a land landing.
Ultimately, it’s looking more and more likely that SpaceX would rather go all-in on Starship’s inaugural orbital launch attempt, even if that means little to no ground or flight test availability for a few months.
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
