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SpaceX valuation to grow by 27% as Starship, Starlink programs seek more funding

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CNBC reports that SpaceX is seeking to raise at least $1.725 billion in its first funding round of 2022, potentially boosting the private company’s valuation as high as $127 billion.

The report signals just the latest in a long line of high-profile rounds of funding SpaceX has secured over the last seven years, gradually boosting its valuation by a factor of more than 100. More likely than not, this round will also be fully subscribed or even oversubscribed as investors scramble over a relatively rare opportunity to snag a small slice of SpaceX – a demand so high that Equidate once stated that SpaceX effectively had access to ‘an unlimited amount of funding’ in 2018.

Four years later, it’s clear that Equidate’s position and forecast were prescient. After a few slow years post-2015, SpaceX’s fundraising activity returned with a vengeance in 2019. From 2019 to 2021, the company privately raised more than $5.2 billion – nearly triple the amount of private funding SpaceX raised from 2002 to 2018. In the likely event that the latest in a long line of highly sought-after and oversubscribed SpaceX investment rounds, SpaceX will have ultimately raised between $8.6 and $9 billion since 2015, averaging about $1.3 billion per year over the last seven years.

More likely than not, a vast majority of that $9 billion has gone towards Starlink and Starship – both of which are also almost exclusively responsible for the fact that SpaceX’s valuation outmatches its annual revenue by a factor of several dozen. CEO Elon Musk has stated in 2017 and 2018 that SpaceX invested around $1 billion to develop Falcon booster reusability and more than $500 million to develop a triple-booster variant of Falcon 9 known as Falcon Heavy – still the most capable operational rocket in the world four years after its debut. It’s possible that some portion of SpaceX’s fundraising since 2015 has gone towards basic recurring expenses during years with few launches and relatively little revenue.

However, it’s likely that most or all of the remaining $7-7.5 billion – separate from several lucrative contracts awarded by the US military and NASA – has gone towards Starlink and Starship. In the last few years, SpaceX has effectively built a massive factory and launch pad for the largest rocket ever built (Starship) out of empty lots in South Texas. SpaceX has also turned several nondescript buildings near Seattle, Washington into the most productive satellite factory in spaceflight history and is working on additional factories to mass-produce hundreds of thousands to millions of cutting-edge satellite dishes per year to allow millions of people to connect to the internet through Starlink.

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SpaceX’s massive Starship factory and some of the fruits of its labors. (NASASpaceflight – bocachicagal)
SpaceX has built and launched more than 2650 Starlink satellites over almost 50 dedicated Falcon 9 launches, built and delivered hundreds of thousands of ‘user terminal’ antennas, and currently serves at least 250,000 active internet customers. (SpaceX)

Assuming a rough marginal cost of $500,000 per satellite and $15 million per Falcon 9 launch, SpaceX could have easily spent more than $2 billion just to build and launch the ~2650 Starlink satellites it’s launched to date. Accounting for the annual salaries and overhead needed for the thousands of employees required to build those satellites and conduct more than 50 different Starlink launches, the true cost over several years could be closer to $3-5 billion. Meanwhile, Starbase has rapidly expanded, built vast new infrastructure, mass-produced around two-dozen different Starship tanks and prototypes, completed dozens of tests, built and tested 150-200 Raptor engines, and conducted nine major flight tests.

Up until late 2021, perhaps less than 5-10% of funding for the above activities came directly from US government contracts. While Starlink remains almost entirely privately funded, SpaceX’s Starship program received a major influx of funding and support from NASA through a $3 billion Moon landing contract awarded in April 2021, but protests from two competitors meant that funds from that contract only began reaching SpaceX around the end of the year. Ultimately, it’s not hard to see why SpaceX has needed to raise so much capital in the last three years.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla FSD (Supervised) v14.2.2 starts rolling out

The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

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Credit: Grok Imagine

Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

Key FSD v14.2.2 improvements

As noted by Not a Tesla App, 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 let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.

Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.

FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.  

Key FSD v14.2.2 release notes

Full Self-Driving (Supervised) v14.2.2 includes:

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  • Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
  • Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
  • Camera visibility can lead to increased attention monitoring sensitivity. 

Upcoming Improvements:

  • Overall smoothness and sentience.
  • Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe

Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.

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Credit: @JoeTegtmeyer/X

The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility. 

Intensive crash tests

As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays. 

Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads. 

Prioritizing safety

With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.

Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.

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Tesla’s Elon Musk gives timeframe for FSD’s release in UAE

Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year. 

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Tesla CEO Elon Musk stated on Monday that Full Self-Driving (Supervised) could launch in the United Arab Emirates (UAE) as soon as January 2026. 

Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year. 

Musk’s estimate

In a post on X, UAE-based political analyst Ahmed Sharif Al Amiri asked Musk when FSD would arrive in the country, quoting an earlier post where the CEO encouraged users to try out FSD for themselves. Musk responded directly to the analyst’s inquiry. 

“Hopefully, next month,” Musk wrote. The exchange attracted a lot of attention, with numerous X users sharing their excitement at the idea of FSD being brought to a new country. FSD (Supervised), after all, would likely allow hands-off highway driving, urban navigation, and parking under driver oversight in traffic-heavy cities such as Dubai and Abu Dhabi.

Musk’s comments about FSD’s arrival in the UAE were posted following his visit to the Middle Eastern country. Over the weekend, images were shared online of Musk meeting with UAE Defense Minister, Deputy Prime Minister, and Dubai Crown Prince HH Sheikh Hamdan bin Mohammed. Musk also posted a supportive message about the country, posting “UAE rocks!” on X.

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FSD recognition

FSD has been getting quite a lot of support from foreign media outlets. FSD (Supervised) earned high marks from Germany’s largest car magazine, Auto Bild, during a test in Berlin’s challenging urban environment. The demonstration highlighted the system’s ability to handle dense traffic, construction sites, pedestrian crossings, and narrow streets with smooth, confident decision-making.

Journalist Robin Hornig was particularly struck by FSD’s superior perception and tireless attention, stating: “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired. I like to think I’m a good driver, but I can’t match this system’s all-around vision. It’s at its best when both work together: my experience and the Tesla’s constant attention.” Only one intervention was needed when the system misread a route, showcasing its maturity while relying on vision-only sensors and over-the-air learning.

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