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SpaceX stacks Starship and Super Heavy booster for “wet dress rehearsal” test
For the third time in three months, SpaceX has fully assembled Starship 24 and Super Heavy Booster 7 after another period of separate tests, repairs, and modifications.
Measuring around 120 meters (~390 ft) tall from ship tip to booster tail, the fully-stacked rocket is again the largest ever assembled. Compared to the Falcon 9 and Falcon Heavy rockets SpaceX currently operates, Starship is far larger. It’s also meant to be fully reusable, while the Falcon family – which expends its orbital upper stage – is roughly 80% reusable. If SpaceX can meet its technical goals, Starship could eventually cost around a magnitude less to launch than Falcon while carrying roughly 5-20 times more payload per launch. In short, it could revolutionize the cost of access to orbit.
Combined with orbital refilling, the ability to transfer propellant between Starships, reusable Starships could also radically exceed Falcon 9 or even Falcon Heavy’s expendable performance. But first, SpaceX needs to make sure that Starship can reach orbit at all.
Compared to Ship 20 and Booster 4, earlier prototypes that were also fully stacked a few times in 2021 and early 2022 before their retirement, Ship 24 and Booster 7 are closer to supporting Starship’s first orbital launch attempt. After their latest full-stack milestone, they could be just a few major tests away from being cleared for flight.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
“According to CEO Elon Musk and a NASA official, the last major standalone test between Booster 7 and flight readiness is a full 33-engine static fire. Together, B7’s 33 Raptor 2 engines could produce up to 7600 tons (16.7 million lbf) of thrust at sea level, likely making Starship the most powerful rocket stage in the history of spaceflight.
A wet dress rehearsal is a routine test conducted before a rocket launch and is generally designed to simulate every aspect of a launch save for engine ignition and liftoff. Most importantly, that involves fully filling the rocket with propellant and passing all of the checks the same rocket would need to pass to be cleared for launch. The first full-stack WDR will test Starbase’s launch facilities just as much as Booster 7 and Ship 24.”
Teslarati.com – January 9th, 2023
The January 9th assembly of B7 and S24 confirms that the WDR will likely occur first, as conducting the first 33-Raptor Super Heavy static fire while fully stacked would unnecessarily risk the Starship. Ship 24 could fly on a future booster if B7 does not pass (or survive) proof testing. More likely than not, Ship 24 will be removed from Booster 7 after WDR testing, freeing Super Heavy for one last round of standalone static fire testing. If that testing clears Booster 7, Ship 24 will be reinstalled – possibly for the last time.
While hardware challenges continue to trump paperwork, an FAA launch license is another significant hurdle standing between SpaceX and Starship’s orbital launch debut. SpaceX and the FAA are in the middle of hammering out the details of such a license, which is partially contingent upon the completion of dozens of “mitigation” measures. Because Starship’s unprecedented size elevates the risk it could pose to local residents, it’s likely that that license is also contingent upon results from ground tests and will be one of the last gates to be lifted.
SpaceX has three windows that could be used for B7/S24 full-stack testing this week: two from 8am to 8pm CST on January 11th and 12th and one from 8am to 4pm on January 13th. CEO Elon Musk says that Starship could be ready for its first orbital launch attempt as early as late February or March 2023.
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
