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SpaceX rolls out first new Starship prototype in nine months
For the first time in more than nine months, SpaceX has rolled a new Starship prototype to its Starbase, Texas launch facilities in the hopes of kicking off qualification testing in the near future.
The new activity exemplifies just how different – and more subdued – Starbase’s last year has been compared to the year prior. However, it also signals new hope for a significantly more eventful 2022 as SpaceX once again finds itself preparing for Starship’s first orbital launch attempt – albeit with an entirely different rocket.
The last time SpaceX rolled a new and functional Starship prototype from the factory to the test stand was on August 13th, 2021, when Starship S20 was transported back to the pad for the second time that month. On August 5th, the same unfinished Starship was stacked on top of Super Heavy booster B4, briefly assembling the largest rocket ever built. With the luxury of hindsight, it’s now clear that that particular milestone was more of a photo-op than a technical achievement. Nonetheless, Ship 20’s path was far more productive than Booster 4’s. The Starship returned to the Starbase factory for a few days of finishing touches before arriving back at the pad on August 13th. Only in the last week of September did Ship 20 finally begin its first significant tests, followed by its first Raptor static fire in mid-October. In mid-November, Ship 20 completed the first of several successful six-Raptor static fires.
Ultimately, by the time Ship 20 was retired in May 2022, the Starship was arguably fully ready to attempt to reach orbit or at least perform some kind of ambitious hypersonic test flight. However, Super Heavy Booster 4 never made it even a fraction of the way to a similar level of flight readiness and SpaceX never received the FAA environmental approval or launch license needed for an orbital launch attempt.
Only now, in May 2022, does it finally look likely that SpaceX will finally receive the necessary permissions for a limited orbital test flight campaign in the near future. While it’s hard to say if Booster 4 and Ship 20 could have supported some kind of launch campaign if permission had been granted months ago, what’s clear is that all aspects – flight hardware, pad hardware, and bureaucracy – have been chronically delayed to the point that Booster 4 and Ship 20 are now heavily outdated.
In their place, now, stand Super Heavy B7 and Starship S24 – the new ‘chosen ones’ assigned to Starship’s orbital launch debut. Both feature extensive design changes and account for an upgraded version of the Raptor engine and countless lessons learned over the better part of a year spent troubleshooting and testing their predecessors. While it did get off to a rocky start, Booster 7 has already completed several cryogenic proof tests and is in the middle of being outfitted with 33 new Raptor engines.
On the other hand, perhaps indicating SpaceX’s satisfaction with Ship 20’s performance, Starship S24 has been on the back burner in comparison. Only on May 26th, 2022 did SpaceX finally finish the prototype to the point that it was ready to begin qualification testing. Missing hundreds of TPS tiles and an aerocover cap, Ship 24 was quickly moved into position at a sort of drive-by test stand where it appears the prototype will first need to pass basic pressure and cryogenic proof tests.
If it passes those tests, SpaceX will then install Ship 24 on a suborbital launch and test stand (Suborbital Pad A) that has been significantly modified for qualification testing. Rather than leaping straight into static fires, SpaceX will minimize the risk of catastrophic failure by first using hydraulic rams to simulate the thrust of six Raptor V2 engines while Starship’s steel tanks and plumbing are chilled to cryogenic temperatures. Only after Ship 24 completes stress testing will SpaceX install new Raptor engines and prepare to replicate Ship 20’s success with several static fires.
Thanks to Raptor V2’s improvements, Ship 24 will likely need to withstand around 1400 tons (~3.1M lbf) of thrust at liftoff – almost 25% more than Ship 20 ever experienced. Beyond a sturdier thrust section, Ship 24 is also the first Starship SpaceX has outfitted with a next-generation nose; the first with a significant landing propellant (‘header’) tank redesign; and the first with a potentially functional payload bay and door.
Assuming Ship 24 passes all planned cryoproof and thrust simulation tests, it remains to be seen if SpaceX will return the Starship to Starbase factory facilities or – like with Ship 20 – install Raptors and finish its heat shield and thermal protection while sitting on the test stand. SpaceX has two test windows currently scheduled: one from 6am to 12pm CDT on Friday, May 27th and the other from 10am to 10pm CDT on Tuesday, May 31st.
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
