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SpaceX outfits Starship, Super Heavy with dozens of Raptor engines
New photos shared by SpaceX show that the company has nearly finished installing a total of 39 upgraded Raptor engines on a new Starship and its Super Heavy booster.
Those prototypes – known as Ship 24 and Booster 7 – could be tasked with supporting Starship’s first orbital launch attempt sometime later this year if both make it through upcoming test campaigns without major issues. Whether that’s a probable outcome is still uncertain but recent progress suggests that it won’t take long for the prospects of both prototypes to shift into clearer focus.
After several rounds of proof testing and two trips to and from SpaceX’s Starbase, Texas orbital launch site (OLS) in March, April, and May, Super Heavy Booster 7 (B7) made its third trip to the pad on June 23rd.
“SpaceX used the six weeks Booster 7 spent back in a factory assembly bay to finish installing aerocovers, surfaces known as chines or strakes, car-sized grid fins, Starlink internet dishes, and – most importantly – 33 upgraded Raptor V2 engines. Combined, Booster 7 could produce up to 7600 metric tons (~16.8M lbf) of thrust at or before liftoff. Crucially, SpaceX also finished installing most of Booster 7’s Raptor heat shield in the same period, completing in six weeks work that took Booster 4 closer to half a year. With its heat shield and all 33 Raptors mostly in place, Booster 7 should be ready to kick off static fire testing almost as soon as it’s installed on Starbase’s orbital launch mount.”
Teslarati.com – June 24th, 2022
Building, qualifying, shipping, and installing 33 new Raptor 2 engines on Super Heavy B7 was already an impressive achievement and produced the most (potentially) powerful rocket booster ever assembled. On July 2nd, a pair of photos published by SpaceX showed off Booster 7’s nearly-finished engine section and simultaneously revealed that the company has finished installing all six of Starship S24’s Raptor engines – and even part of the ship’s aft thermal protection.
Differences are already visible between Ship 24 and Ship 20, the only other Starship prototype to have six Raptors installed. The most notable change is the addition of a metal framework that covers the entire breadth of the ship’s aft – most likely destined to support flat sections of insulation and thermal protection that will partially seal off sensitive engine, plumbing, pressure vessels, and avionics components located inside Starship’s aft. That extra shielding should help limit the extreme conditions that hardware will be subjected to during ground testing and, perhaps, in flight.
Super Heavy Booster 7 has already completed a significant amount of testing, including four cryogenic proofs (cryoproofs) and one Raptor thrust simulation test. Since its third return to the pad, SpaceX has several more ambiguous tests, none of which appeared to involve cryogenic propellant loading. It’s possible that those tests focused more on Booster 7’s pressurization system, perhaps filling its tanks with the hot oxygen and methane gases it will eventually use to pressurize its tanks. It’s likely that SpaceX wants to put Booster 7 through at least one successful wet dress rehearsal – using real liquid methane and oxygen propellant – before attempting to static fire any of its 33 Raptors. Booster 7’s aft thermal protection system also isn’t entirely complete, so technicians will need to finish installing several more panels before any static fire testing.
Alongside B7, Starship S24 has completed a good amount of cryoproof and Raptor thrust simulation testing, which it survived without any irreperable issues. The ship was then returned to an assembly bay on June 9th, where where workers have been installing heat shield tiles, finalizing the ship’s engine section, and completing dozens of other less visible closeout tasks. SpaceX also recently finished modifying one of its two suborbital test and launch mounts for Starship static fire testing, leaving the other mount semi-permanently modified for cryoproof and thrust simulation testing of future prototypes.
SpaceX has requested permission for road closures – each a potential 12-hour test window – on July 5th, 6th, 7th, 11th, and 12th.
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
