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SpaceX’s upgraded Starship gets frosty during cryogenic proof test
Update: SpaceX is well into Starship SN15’s first cryogenic proof test and is in the process of loading the upgraded steel rocket with hundreds of tons of supercool liquid nitrogen (LN2).
As a result, the 50m (165 ft) tall spacecraft and upper stage prototype has developed a coating of frost as its extremely cold cargo quite literally freezes the humid South Texas air onto its steel skin. Stay tuned for updates on the performance of Starship SN15 during its first ‘cryo proof’ and what that means for engine installation and its next big test – a triple-Raptor static fire.
SpaceX has cleared its suborbital South Texas launch pad of all personnel, clearing the way for the Starship serial number 15 (SN15) to kick off the first in a series of big tests.
Outfitted with “hundreds” of upgrades relative to late full-size predecessors SN8, SN9, SN10, and SN11, there’s a chance that SN15 holds the key to SpaceX’s first completely successful high-altitude Starship launch and landing.
Though Starship SN10 managed to land in one piece last month and both it and its three siblings successfully reached nominal 10-12.5 km (6-8 mi) apogees, averaged more than six minutes of controlled flight, and restarted at least one of three Raptor engines without issue, SN10 explodes minutes after touchdown and the other ships suffered various failures of their own 10-30 seconds before landing. At least one vehicle loss (Starship SN9) can be blamed on the failure of one of two Raptor engines to properly ignite.
-->Starship SN8 made it seconds away from an intact touchdown on the first try before an issue with its advanced pressurization system starved its Raptor engines of fuel. Starship SN10 landed hard – partially leading to its demise – because the quick-fix SpaceX implemented to deal with the pressurization issues SN8 surfaced caused Raptor engines to ingest helium, dramatically lowering their thrust and performance. CEO Elon Musk believes SN11’s even earlier demise was caused by a high-pressure methane leak on one Raptor engine that destroyed avionics and led to a hard-start and violent explosion during landing burn ignition.
While many – if not most – of Starship SN15’s myriad upgrades likely began before most of the SN8-SN11 failure modes were uncovered, it’s not unlikely that SpaceX was already aware of potential weak points and working to fix them. The company’s philosophy largely matches agile development popular in software industries – namely the development of a minimum viable product, followed by a cycle of iterative testing and refinement until a given product is reliably achieving all of its foundational goals.
Now, it’s up to Starship SN15 (as well as SN16, SN17, SN18, and possibly SN19) to carry the torch forward and demonstrate clear progress towards the goal of fielding a reliable, reusable, building-sized spacecraft and upper stage. To do that, SN15 must first act as a pathfinder for those upgrades, beginning with qualification tests on the ground.
The first of those – likely a cryogenic proof test with liquid nitrogen – is scheduled as early as today, sometime between now and 8pm CDT (UTC-5). Stay tuned for updates as Starship SN15 (hopefully) gets frosty for the first time.
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Elon Musk makes a key Tesla Optimus detail official
“Since we are naming the singular, we will also name the plural, so Optimi it is,” Musk wrote on X.
Tesla CEO Elon Musk just made a key detail about Optimus official. In a post on X, the CEO clarified some key wording about Optimus, which should help the media and the public become more familiar with the humanoid robot.
Elon Musk makes Optimus’ plural term official
Elon Musk posted a number of Optimus-related posts on X this weekend. On Saturday, he stated that Optimus would be the Von Neumann probe, a machine that could eventually be capable of replicating itself. This capability, it seems, would be the key to Tesla achieving Elon Musk’s ambitious Optimus production targets.
Amidst the conversations about Optimus on X, a user of the social media platform asked the CEO what the plural term for the humanoid robot will be. As per Musk, Tesla will be setting the plural term for Optimus since the company also decided on the robot’s singular term. “Since we are naming the singular, we will also name the plural, so Optimi it is,” Musk wrote in his reply on X.
This makes it official. For media outlets such as Teslarati, numerous Optimus bots are now called Optimi. It rolls off the tongue pretty well, too.
Optimi will be a common sight worldwide
While Musk’s comment may seem pretty mundane to some, it is actually very important. Optimus is intended to be Tesla’s highest volume product, with the CEO estimating that the humanoid robot could eventually see annual production rates in the hundreds of millions, perhaps even more. Since Optimi will be a very common sight worldwide, it is good that people can now get used to terms describing the humanoid robot.
-->During the Tesla 2025 Annual Shareholder Meeting, Musk stated that the humanoid robot will see “the fastest production ramp of any product of any large complex manufactured product ever,” starting with a one-million-Optimi-per-year production line at the Fremont Factory. Giga Texas would get an even bigger Optimus production line, which should be capable of producing tens of millions of Optimi per year.
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Tesla is improving Giga Berlin’s free “Giga Train” service for employees
With this initiative, Tesla aims to boost the number of Gigafactory Berlin employees commuting by rail while keeping the shuttle free for all riders.
Tesla will expand its factory shuttle service in Germany beginning January 4, adding direct rail trips from Berlin Ostbahnhof to Giga Berlin-Brandenburg in Grünheide.
With this initiative, Tesla aims to boost the number of Gigafactory Berlin employees commuting by rail while keeping the shuttle free for all riders.
New shuttle route
As noted in a report from rbb24, the updated service, which will start January 4, will run between the Berlin Ostbahnhof East Station and the Erkner Station at the Gigafactory Berlin complex. Tesla stated that the timetable mirrors shift changes for the facility’s employees, and similar to before, the service will be completely free. The train will offer six direct trips per day as well.
“The service includes six daily trips, which also cover our shift times. The trains will run between Berlin Ostbahnhof (with a stop at Ostkreuz) and Erkner station to the Gigafactory,” Tesla Germany stated.
Even with construction continuing at Fangschleuse and Köpenick stations, the company said the route has been optimized to maintain a predictable 35-minute travel time. The update follows earlier phases of Tesla’s “Giga Train” program, which initially connected Erkner to the factory grounds before expanding to Berlin-Lichtenberg.
-->Tesla pushes for majority rail commuting
Tesla began production at Grünheide in March 2022, and the factory’s workforce has since grown to around 11,500 employees, with an estimated 60% commuting from Berlin. The facility produces the Model Y, Tesla’s best-selling vehicle, for both Germany and other territories.
The company has repeatedly emphasized its goal of having more than half its staff use public transportation rather than cars, positioning the shuttle as a key part of that initiative. In keeping with the factory’s sustainability focus, Tesla continues to allow even non-employees to ride the shuttle free of charge, making it a broader mobility option for the area.
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Tesla Model 3 and Model Y dominate China’s real-world efficiency tests
The Tesla Model 3 posted 20.8 kWh/100 km while the Model Y followed closely at 21.8 kWh/100 km.
Tesla’s Model 3 and Model Y once again led the field in a new real-world energy-consumption test conducted by China’s Autohome, outperforming numerous rival electric vehicles in controlled conditions.
The results, which placed both Teslas in the top two spots, prompted Xiaomi CEO Lei Jun to acknowledge Tesla’s efficiency advantage while noting that his company’s vehicles will continue refining its own models to close the gap.
Tesla secures top efficiency results
Autohome’s evaluation placed all vehicles under identical conditions, such as a full 375-kg load, cabin temperature fixed at 24°C on automatic climate control, and a steady cruising speed of 120 km/h. In this environment, the Tesla Model 3 posted 20.8 kWh/100 km while the Model Y followed closely at 21.8 kWh/100 km, as noted in a Sina News report.
These figures positioned Tesla’s vehicles firmly at the top of the ranking and highlighted their continued leadership in long-range efficiency. The test also highlighted how drivetrain optimization, software management, and aerodynamic profiles remain key differentiators in high-speed, cold-weather scenarios where many electric cars struggle to maintain low consumption.
Xiaomi’s Lei Jun pledges to continue learning from Tesla
Following the results, Xiaomi CEO Lei Jun noted that the Xiaomi SU7 actually performed well overall but naturally consumed more energy due to its larger C-segment footprint and higher specification. He reiterated that factors such as size and weight contributed to the difference in real-world consumption compared to Tesla. Still, the executive noted that Xiaomi will continue to learn from the veteran EV maker.
“The Xiaomi SU7’s energy consumption performance is also very good; you can take a closer look. The fact that its test results are weaker than Tesla’s is partly due to objective reasons: the Xiaomi SU7 is a C-segment car, larger and with higher specifications, making it heavier and naturally increasing energy consumption. Of course, we will continue to learn from Tesla and further optimize its energy consumption performance!” Lei Jun wrote in a post on Weibo.
-->Lei Jun has repeatedly described Tesla as the global benchmark for EV efficiency, previously stating that Xiaomi may require three to five years to match its leadership. He has also been very supportive of FSD, even testing the system in the United States.
Elon Musk makes a key Tesla Optimus detail official
Tesla is improving Giga Berlin’s free “Giga Train” service for employees
