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SpaceX’s Starship rocket sails through first “flight-like” fueling test
SpaceX’s fully-assembled Starship rocket appears to have sailed through a major wet dress rehearsal test on the first attempt.
With the completion of that test, the next-generation SpaceX rocket has taken a big step toward its first orbital launch attempt. Starship measures around 120 meters (~394 ft) tall and 9 meters (~30 ft) wide, making it the largest rocket ever assembled. It’s designed to launch more than 100 metric tons (~220,000 lb) to low Earth orbit (LEO) in a fully-reusable configuration. At liftoff, Starship’s 33 Raptor engines will produce up to 7590 tons (16.7M lbf) of thrust, making it more powerful than any rocket in history by a large margin.
And on Monday, January 23rd, Starship likely became the heaviest rocket ever after SpaceX fully loaded the vehicle with propellant. Surprising most viewers, SpaceX also appeared to complete the complex test associated with that milestone without running into any major issues.
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
The apparent success is surprising because it simply hasn’t been SpaceX’s approach of choice while developing Starship. Since SpaceX began assembling Starhopper in an empty Texas field in 2018, the Starship program has been almost exclusively managed to prioritize speed and expect failures. The company almost always preferred to build, test, and learn from minimum-viable-product prototypes as quickly as possible, even if that meant that failures were guaranteed.
Because SpaceX expected failures, it learned from them and always had another prototype ready to carry the torch forward. Starship prototypes rarely completed ground or flight tests on the first try, as SpaceX was simultaneously learning – often catastrophically – how to test and operate those vehicles. The culmination of that failure-as-an-option strategy was a series of seven suborbital Starship tests – two short hops of identical prototypes and five launch and landing attempts of five more advanced prototypes between August 2020 and May 2021. On the fifth attempt, after four failures, a full-scale Starship successfully launched to 12.5 kilometers (~41,000 ft), shut off its engines, fell back to Earth, reignited its engines, flipped around, and landed in one piece.
By all appearances, the campaign was the ultimate corroboration of SpaceX’s development strategy. In the second half of 2022, however, SpaceX decided to dramatically change the Starship program’s approach to risk management and systems engineering. Starship testing has become exceptionally cautious over the last several months, as a result.
From fail-fast to slow-and-steady
There is a small chance SpaceX simply got lucky, but Starship’s first fully-assembled wet dress rehearsal test appears to indicate that that caution has paid off. Combined, both stages of the rocket – Ship 24 and Booster 7 – collectively completed dozens of separate proof tests and static fires since mid-2022. They also made it through several far more limited tests while stacked.
Having cautiously characterized each prototype about as well as it possibly could, SpaceX finally pulled the trigger on January 23rd. After hours of conditioning the Starbase, Texas orbital launch site’s giant tank farm, SpaceX opened the floodgates and loaded Ship 24 and Booster 7 with up to 4860 tons (~10.7M lbs) of cryogenic liquid oxygen and liquid methane propellant in about 90 minutes. Once fully loaded, the combined weight of the rocket and propellant likely exceeded 5000 tons (~11M lbs), making Starship the heaviest rocket in history. The next heaviest rockets ever built, Saturn V and N-1, weighed around 2800 tons (~6.2M lbs) fully loaded.
SpaceX was also able to drain Starship and return its propellant to the pad’s ground storage tanks about four hours after filling the rocket.
“Flight-like” testing
The company later confirmed that the test was a “full flight-like wet dress rehearsal,” as suspected, and noted that data gathered from it would “help verify a full launch countdown sequence, as well as the performance of Starship and the orbital pad for flight-like operations.” Parts of the test visible from unaffiliated webcasts like NASASpaceflight’s seemed to confirm as much. Shortly after Starship was fully loaded, for example, SpaceX activated the orbital launch mount’s fire extinguisher system, seemingly practicing the moments before the rocket would otherwise ignite its engines and take flight.
At no point during the wet dress rehearsal did SpaceX appear to enter any kind of hold or abort, indicating that the rocket’s systems were all working well enough together to smoothly complete it on the first try. The only mildly concerning behavior visible during the multi-hour test came shortly after Starship was topped off. Booster 7 opened one of its methane tank gas vents to relieve pressure and instead appeared to vent liquid methane, producing a flammable cloud thousands of feet long. More likely than not, the Super Heavy was slightly overfilled, and the liquid vent was an intentional response to that error. The cloud of methane thankfully did not find an ignition source, and Starship went on to finish the test as planned.
SpaceX has a lot of work left to prepare Ship 24 and Booster 7 for Starship’s first orbital launch attempt. Booster 7 must still complete one or several more static fires, during which it could become the most powerful rocket ever tested. To reduce risk, SpaceX will likely remove Ship 24 while testing Super Heavy, and reassemble the rocket only if Booster 7 passes its tests. SpaceX also needs to repair the pad after static fire testing and work with the Federal Aviation Administration (FAA) to finalize Starship’s first orbital launch license.
But after many false positives, Starship’s successful completion of a wet dress rehearsal on the first try has confirmed that the rocket’s orbital launch debut is – for the first time – actually close at hand.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
