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SpaceX’s first orbital Starship launch “highly likely” in November, says Elon Musk
CEO Elon Musk says that it’s “highly likely” SpaceX will be ready to attempt its first orbital Starship launch in November 2022, and possibly as early as late October. But many major hurdles remain.
Adding to a welcome burst of insight into SpaceX’s fully-reusable Starship rocket program, Musk took to Twitter on September 21st to provide a bit more specific insight into the company’s next steps towards a crucial orbital launch debut. On September 19th, the CEO revealed that SpaceX would roll the Starship booster (B7) currently assigned to that debut back to the factory for mysterious “robustness upgrades” – an unexpected move right after a seemingly successful and record-breaking static fire test.
Two days later, Musk has indicated that those upgrades might involve fortifying Super Heavy Booster 7’s thrust section to ensure it can survive Raptor engine failures. With 33 Raptor V2 engines powering it and plenty of evidence that those Raptors are far from perfect reliability, the concern is understandable, even if the response is a bit different than SpaceX’s norm.
Prior to the start of preparations for Starship’s orbital launch debut, SpaceX sped through Starship development like it wanted to destroy as many rockets as possible – which, to some extent, it did. Rather than spend 6-12 months fiddling with the same few prototypes without a single launch attempt, SpaceX churned out Starships and test articles and aggressively tested them. A few times, SpaceX pushed a little too hard and made avoidable mistakes, but most of the failures produced large amounts of data that was then used to improve future vehicles.
The holy grail of that project was high-altitude Starship flight testing, which saw SpaceX finish, test, and launch a new Starship five times in six months, and culminated in the first fully successful high-altitude Starship launch and landing in May 2021.
In comparison, SpaceX’s orbital flight test preparations have been almost unrecognizable. While a good amount of progress has been made in the 16 months since SN15’s successful launch and landing, it’s clear that SpaceX has decided against taking significant risks. After spending more than six months slowly finishing and testing Super Heavy Booster 4 and Starship 20, the first orbital-class pair, SpaceX never even attempted a single Booster 4 static fire and unceremoniously retired both prototypes without attempting to fly either.
Without info from Musk or SpaceX, we may never know why SpaceX stood down B4 and S20, or why the company appears to have revised its development approach to be a bit more conservative after clearly demonstrating the efficacy of moving fast and taking big risks. It’s possible that winning a $3 billion contract that places Starship front and center in NASA’s attempt to return astronauts to the Moon has encouraged a more careful approach. SpaceX won that contract in April 2021.
Even in its more cautious third phase, Starship development is still extraordinarily hardware-rich, moving quickly, and uncovering many problems on the ground in lieu of learning from flight tests. But that doesn’t change the fact that the third phase of Starship development (H2 2021 – today) is proceeding more carefully than the first (Q4 2018 to Q4 2019) and second (Q1 2020 – Q2 2021) phases.
Nonetheless, SpaceX appears to finally be getting closer to Starship’s first orbital launch. According to Musk, the company could be ready for the first launch attempt as early as late October, but a November attempt is “highly likely.” He believes that SpaceX will have two pairs of orbital-class Starships and Super Heavy boosters (B7/S24; B8/S25) “ready for orbital flight by then,” potentially enabling a rapid return to flight after the first attempt. Musk is also excited about Super Heavy Booster 9, which has “many design changes” and a thrust section that will fully isolate all 33 Raptors from each other – crucial for preventing the failure of one engine from damaging others.
Meanwhile, as Musk forecasted, Super Heavy Booster 8 rolled to the launch pad on September 19th and will likely be proof tested in the near future while Booster 7 is upgraded back at the factory.
Encouraging as that may be, history has shown that reality – particularly when it involves Starship’s orbital launch debut – can be quite a bit different than the pictures Elon Musk paints. In September 2021, for example, Musk predicted that SpaceX would conduct the first Super Heavy static fire at Starbase’s orbital launch pad later that month. In reality, that crucial test occurred 11 months later (August 9th, 2022) and used an entirely different booster.
This is to say that significant progress has been made in the last few months, but SpaceX has a huge amount of work left, almost all of which lies in uncharted terrain. Starship 24, which completed its first six-engine static fire earlier this month, is currently undergoing strange modifications that seem to imply that the upper stage is not living up to SpaceX’s expectations. It’s unclear if additional testing will be required.
Super Heavy B7 is headed back to the factory for additional work after a successful seven-Raptor static fire. Once it returns to the pad, the sequencing isn’t clear, but SpaceX will need to complete the first full Super Heavy wet dress rehearsal (fully loading the booster with thousands of tons of flammable propellant) and the first full 33-Raptor static fire. It remains to be seen if SpaceX will continue its conservative approach (i.e. testing one, three, and seven engines over six weeks) or jump straight from seven- to 33-engine testing.
It’s also unclear where Ship 24 fits into that picture. SpaceX will eventually need to (or should) conduct a full wet dress rehearsal of the fully stacked Starship and may even want to attempt a 33-engine static fire with that fully-fueled two-stage vehicle to truly test the rocket under the same conditions it will launch under. Will SpaceX fully stack B7 and S24 as soon as the booster returns to the pad, risking a potentially flightworthy Starship during the riskiest Super Heavy tests yet?

SpaceX’s last year of activity suggests that the company will choose caution and conduct wet dress rehearsals and 33-engine static fires before and after stacking, potentially doubling the amount of testing required. One or several more tests will also be required if SpaceX decides to gradually build up to 33 engines, which is the approach that all Booster 7 activity to date suggests SpaceX will take.
Either way, it will be a major challenge for SpaceX to have a fully-stacked Starship ready to launch by the end of November. If any significant problems arise during any of the several unprecedented tests described above, Musk’s predicted schedule will likely become impossible. As a wildcard, the Federal Aviation Administration (FAA) has yet to issue SpaceX a license or experimental permit for orbital Starship launches, either of which is contingent upon dozens of “mitigations.”
This isn’t to say that it’s impossible for an orbital Starship launch attempt to occur in November. But factoring in the many issues Booster 7 and Ship 24 have experienced during much simpler tests, it’s becoming increasingly implausible that SpaceX will be ready to launch the pair before the end of 2022. Stay tuned.
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.