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SpaceX’s first orbital-class Starship ‘tank farm’ is almost finished
Roughly six months after the process began, SpaceX has installed the seventh and final custom-built propellant storage tank at Starbase’s first orbital-class Starship launch site.
Built out of the same factory and parts as the steel tanks that make up most of the two-stage Starship rocket’s structure, SpaceX completed the first two of those ‘ground support equipment (GSE)’ tanks in April and wasted no time installing both at Starbase’s orbital launch site (OLS). However, after a strong start, GSE tank work seemingly halted for several months and it wasn’t until August that SpaceX first enclosed one of the then three installed tanks with a sleeve designed to insulate their cryogenic contents. Since then, progress has picked back up and SpaceX has built and installed another three (for a total of six) storage tanks over the last two months.
That work effectively culminated on September 7th with the transport of the farm’s seventh and final GSE tank from build site to launch pad.
Unintuitively known as GSE-8 after SpaceX chose to scrap one of the original seven planned tanks earlier this year, the company wasted no time installing it shortly after its two-mile trip down the highway. GSE-8 is the second of two liquid methane (LCH4) tanks now installed at the orbital launch site and joins another three liquid oxygen (LOx) and two liquid nitrogen (LN2) tanks for a total of seven.
Combined, the OLS tank farm should be able to store more than 2400 tons of LCH4 and 4000 tons of LOx, as well as 2600+ tons of LN2 to be used for ‘subcooling’ (and thus densifying) that propellant well below its boiling point. Ultimately, that means that despite the massive scale of Starbase’s first orbital-class tank farm, it will still only hold enough propellant for a single orbital Starship launch and have to be almost fully restocked after each flight.
Given the logistical nightmare of arranging something like 100+ tanker trucks for each tank farm ‘refill,’ a process that could easily take a week or more on its own, it should come as no surprise that SpaceX is also building a dedicated liquid oxygen and nitrogen plant adjacent to its Starbase factory. On top of liquid natural gas (LNG) refinery and tenuous plans to potentially tap local natural gas wells, SpaceX is clearly well aware of the logistical challenges of regular Starship launches.
While there are no clear signs of the inevitable permitting and environmental reviews it would require, it’s likely that SpaceX will eventually create a brief above or below-ground cryogenic pipeline connecting its propellant factory to Starbase’s orbital launch site(s). If or when implemented, that would allow SpaceX to resupply its two planned orbital tank farms with minimal effort or human intervention beyond the process of producing the propellant.
For the time being, SpaceX will likely rely on a slow but simple parade of tanker trucks to gradually fill its first orbital tank farm. Before even that process is possible, though, SpaceX will need to finish plumbing GSE-8 and several other tanks, install the last two insulative ‘cryoshells,’ and finally fill the annuli between all seven tanks and their shells with an insulative foam-like material known as perlite. Dozens of bags of perlite and several kilns (used to expand the material into low density insulation) are already distributed around the orbital tank farm.
Meanwhile, SpaceX also continues to slowly fill the first two completed OLS tanks (nominally meant to hold LOx) with liquid nitrogen, serving both to test the tanks and pad plumbing and to clean their interiors for liquid oxygen service. Ultimately, while a good amount of work remains, Starbase’s first orbital-class tank farm could be fully ready to support its first Super Heavy booster proof and static fire test campaign just a few weeks from now.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
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Tesla (TSLA) receives “Buy” rating and $551 PT from Canaccord Genuity
He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
Canaccord Genuity analyst George Gianarikas raised his Tesla (NASDAQ:TSLA) price target from $482 to $551. He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
The analyst’s updated note
Gianarikas lowered his 4Q25 delivery estimates but pointed to several positive factors in the Tesla story. He noted that EV adoption in emerging markets is gaining pace, and progress in FSD and the Robotaxi rollout in 2026 represent major upside drivers. Further progress in the Optimus program next year could also add more momentum for the electric vehicle maker.
“Overall, yes, 4Q25 delivery expectations are being revised lower. However, the reset in the US EV market is laying the groundwork for a more durable and attractive long-term demand environment.
“At the same time, EV penetration in emerging markets is accelerating, reinforcing Tesla’s potential multi‑year growth runway beyond the US. Global progress in FSD and the anticipated rollout of a larger robotaxi fleet in 2026 are increasingly important components of the Tesla equity story and could provide sentiment tailwinds,” the analyst wrote.
Tesla’s busy 2026
The upcoming year would be a busy one for Tesla, considering the company’s plans and targets. The autonomous two-seat Cybercab has been confirmed to start production sometime in Q2 2026, as per Elon Musk during the 2025 Annual Shareholder Meeting.
Apart from this, Tesla is also expected to unveil the next-generation Roadster on April 1, 2026. Tesla is also expected to start high-volume production of the Tesla Semi in Nevada next year.
Apart from vehicle launches, Tesla has expressed its intentions to significantly ramp the rollout of FSD to several regions worldwide, such as Europe. Plans are also underway to launch more Robotaxi networks in several more key areas across the United States.
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
