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SpaceX's latest Starship test was uneventful and that's great news for its flight debut
According to Elon Musk, SpaceX has successfully completed its latest Starship prototype test in a uniquely uneventful fashion, great news for the next-generation rocket’s next steps and first flight tests.
The SpaceX CEO revealed the news some 12 hours after the company wrapped up the Starship tank test at its Boca Chica, Texas facilities. Another excellent example of SpaceX’s preferred process of agile development, the test followed just nine days after the Starship SN01 prototype’s first cryogenic test unexpectedly unearthed a design flaw. SpaceX analyzed the results of Starship SN01’s unintentional launch debut and drew up plans to rapidly repurpose a Starship tank initially destined for the SN02 prototype.
By using existing hardware to test an upgraded iteration of the part that destroyed Starship SN01, SpaceX has now effectively retired the risk posed by that prior failure less than two weeks after it occurred. Elon Musk specifically noted that the former SN02 engine section “passed cryo pressure & engine thrust loads,” confirming that there was more to the exceptionally uneventful evening of March 8th than met the eye. While putting on much less of a show for local observers, this particular boring test is a great sign for the next few steps of SpaceX’s Starship development program.
SN2 (with thrust puck) passed cryo pressure & engine thrust load tests late last night— Elon Musk (@elonmusk) March 9, 2020
Simply put, despite successfully demonstrating that Starship’s improved “thrust puck” and engine section can survive flight-level tank pressures and the thrust of a Raptor engine, one would be hard-pressed to determine as much by inspecting the prototype that managed the feat. Such a visually uneventful test is a first for SpaceX’s post-Starhopper Starship testing, where “before” and “after” photos typically start with a shiny tank and finish with a well-distributed field of steel shrapnel.
Musk’s description of the test suggests that SpaceX’s intention with the SN02 test tank – built in just two weeks – was to stress it up to (and likely beyond) the pressures and mechanical stresses Starship engine sections will need to survive in flight. In simpler terms, they likely tried to burst the tank by pressurizing it with liquid nitrogen, a supercool cryogenic fluid. It’s unclear exactly how far SpaceX pushed the tank, but it’s safe to say that it went at least as high as past test tanks, meaning 7-8.5 bar or 100-125 psi. At a bare minimum, a test that failed to reach Starship’s minimum flight pressure of 6 bar (90 psi) would be of dubious value for the actual orbital ship.
A step further, SpaceX installed a hydraulic jack underneath the test tank in a bid to simulate the stresses it would experience with a single Raptor engine. Capable of producing approximately 150-200 tons (1500-2000 kN) of thrust, even Raptor is relatively minor compared to the Starship tank’s likely ~500 metric ton (1.1 million lb) mass. Still, the fact that the SN02 test tank survived the combination of a highly pressurized tank and the simulated thrust of a Raptor engine suggests that SpaceX is now ready for a more successful repeat of Starship SN01 testing.
Confirming those suspicions, Musk subsequently revealed that the Starship prototype integrated immediately after the SN02 test tank will likely attempt the first Raptor static fire tests and may even perform short flights further down the road. As always, SpaceX’s testing programs are fluid and likely to change as new results continuously shape the path forward, meaning that Starship SN03 could easily be destroyed during testing. Starship SN04, said by Musk to be the hopeful candidate for “longer [test] flights,” would thus be repurposed to continue SN03’s test campaign — and so on with SN05, SN06, and beyond.
Regardless, as the CEO notes, perhaps the most important aspect of all these rapid-fire tests is that SpaceX is quickly building up an impressive Starship production line. Before, during, and after SN02’s test campaign, SpaceX’s South Texas team has been simultaneously fabricating and stacking new steel rings, bulkheads, and noses for the next few Starship prototypes. As a result, Starship SN03’s tank section could be just a week or two away from complete integration, after which SpaceX will likely transport it to the launch pad to prepare for Raptor static fire testing.
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Elon Musk
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history.
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
xAI goes MACROHARDRR in Mississippi
xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference.
Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.
Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said.
xAI’s broader AI ambitions
To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.
Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.
Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said.
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.”
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
Tesla AI Head says future FSD feature has already partially shipped
