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SpaceX CEO Elon Musk claims Starship will be ready for first orbital launch in July
CEO Elon Musk claims that SpaceX could be ready to attempt Starship’s first orbital launch as early as July.
While SpaceX has been making slow and steady progress preparing the Starship upper stage and Super Heavy booster nominally assigned to that launch debut, the odds that even just one of those two stages will be fully qualified for flight before the end of July are quite small. Musk’s claims about what will happen after that rocket is ready are even loftier.
According to Musk, after SpaceX is done preparing a Starship and Super Heavy booster for their inaugural orbital launch attempt sometime “next month,” the company will have a second ship and booster pair “ready to fly in August” and another pair every month after that. If SpaceX rapidly completes the dozens of environmental mitigations assigned to it on June 13th and receives an FAA license or experimental permit for orbital Starship launches, the company does theoretically have permission for five orbital launches out of South Texas in 2022, but the same is also true for all 12 months of 2023.
However, there is very little evidence that SpaceX is on the cusp of being able to complete a new orbital-class Starship and Super Heavy booster every month. While SpaceX is working on future Starships and is almost done assembling a second orbital-class Super Heavy booster, the pace of that work appears to be about the same as it’s been for the last 12+ months. Yes, SpaceX is almost done stacking Booster 8 and has begun stacking Ship 25. Sections of Ship 26, Ship 27, and Booster 9 have also been spotted at Starbase. But SpaceX has been unable to finish stacking Booster 8 over the last few months it’s been focused on Ship 24 and Booster 7.
Ship 24 and Booster 7, meanwhile, are making good progress but are still incomplete. Both recently completed several mostly successful cryogenic and structural proof tests and returned to SpaceX’s assembly bays, where workers have begun installing Raptor engines and applying finishing touches.
After a month of work, it appears that Super Heavy B7 may finally be preparing to return to Starbase’s launch site on Thursday, June 16th. Since it returned to the factory on May 14th, SpaceX has been installing 33 new Raptor 2 engines, applying thermal protection to those engines, buttoning up the booster’s aft end, installing control surfaces known as grid fins, and completing a few other unfinished tasks. If all of that work is complete when it rolls out again, B7 could kick off the next phase of its qualification testing – wet dress rehearsals and static fires – shortly after returning to the orbital launch site.
SpaceX has never attempted a full-scale Super Heavy wet dress rehearsal, in which the largest rocket booster ever built will be fully filled with more than three thousand metric tons of flammable cryogenic propellant and put through a simulated launch countdown. SpaceX has also never come close to conducting a full Super Heavy static fire, though it did fire three outdated Raptors on an outdated booster prototype a single time in July 2021.
Ship 24’s position is slightly more favorable, as it only needs six Raptor 2 engines installed. Thanks to Ship 20, which successfully completed several wet dress rehearsals and several static fires that ignited all six engines, Ship 24 will also be heading into terrain that is slightly less uncharted. Still, the Starship’s heat shield needs several hundred more tiles installed, one of four flap aerocover ‘caps’ is missing, and thermal protection will need to be installed around its Raptors.
Once Booster 7 and Ship 24 are both fully outfitted and installed on their respective test stands, there’s still little reason to believe that either prototype has any chance of completing all the tests needed for flight qualification by the end of July. In fact, for B7 and S24 to be truly ready for flight before the end of July, they’d likely need to wrap up qualification testing well before the end of the month to conduct another series of tests after the pair is fully stacked. If SpaceX does not proceed with at least some degree of caution and a plan to thoroughly test both stages before a launch attempt, it will significantly increase the risk of catastrophic launch pad damage that could easily take half a year or more to fix.
More realistically, it’s reasonable to assume that Ship 24 and Booster 7 will both run into some minor issues during their first wet dress rehearsals and static fire tests, possibly requiring Raptor replacements or even minor repairs. Instead of a few weeks, serious flight qualification could take a few months. It’s also arguably far likelier that one or both stages will need to be entirely replaced by Ship 25 or Booster 8 than it is that both will be ready to launch six weeks from now. Both Booster 4 and Ship 24 suffered some degree of damage during proof tests that are in many ways much easier than the wet dress and static fire tests they’ll soon face.
Still, despite the many reasons for pragmatism and expectation management, SpaceX has never been closer to Starship’s orbital launch debut, and the odds of that debut occurring sometime in 2022 have never been better.
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
