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SpaceX slashes base price of smallsat rideshare program, adds “Plates”
SpaceX has rolled out an upgraded version of its Rideshare program that will allow even more small satellite operators to send their spacecraft to orbit for extremely low prices.
SpaceX threw its hat into the growing ring of smallsat launch aggregators in August 2019 with its Smallsat Program. Initially, the company offered a tiered pricing scale with multiple rates for the different sizes of ports a satellite operator could attach their spacecraft to. For customers purchasing their launch services more than 12 months in advance, SpaceX aimed to charge a minimum of $2.25 million for up to 150 kilograms (~330 lb) and a flat $15,000 for each additional kilogram. Customers placing their order 6-12 months before launch would pay a 33% premium ($20,000/kg).
SpaceX may have sorely misjudged the market, however, because the company introduced a simpler, reworked pricing system just a few months later. SpaceX slashed prices threefold, removed most of the tier system, and added a portal that allowed customers to easily reserve launch services online. Compared to the first attempt, the new pricing – $1 million for up to 200 kilograms (~440 lb) and $5000 for each extra kilogram – was extraordinarily competitive and effectively solidified SpaceX as the premier source of rideshare launch services overnight. Save for an inflation-spurred increase to $1.1 million and $5500/kg, that pricing has remained stable for almost three years, and SpaceX’s Smallsat Program has become a spectacular success.
SpaceX, however, was unable to sit idle and has introduced several significant improvements to its rideshare services. While it technically hasn’t reduced its prices, SpaceX will now allow satellites as small as 50 kilograms to book directly through the company at its virtually unbeatable rate of $5500 per kilogram. Before this change, customers with small satellites would either have to pay for all the extra capacity they weren’t using, boosting their relative cost per kilogram, or arrange their launch services with a third-party aggregator like Spaceflight or Exolaunch.
Aggregators purchase slots on SpaceX’s rideshare missions and then seek out numerous small satellites (usually well under 50 kilograms each) to try to reach their 200-kilogram minimum, thus ensuring that even the smallest satellites can launch for close to the advertised rate of $5500 per kilogram. As is always the case, a subcontractor has its own bills to pay and profit margins to seek, so aggregators likely charge customers quite a bit more than SpaceX’s base price.
If price-gouging was a problem, SpaceX reducing its base price to $275,000 for up to 50 kilograms (~110 lb) will effectively lower the aggregator price ceiling fourfold. In general, it will also make purchasing rideshare launch services easier and cheaper for more prospective satellite operators. To ensure that, SpaceX also appears to be willing to book and integrate individual ‘containerized’ cubesats without the need for an aggregator’s dispenser.
That’s largely thanks to the biggest technical change to the Smallsat Program, which will see SpaceX replace its old cylindrical payload dispenser tower with a new “Rideshare Plate” system. Seemingly derived from the machined aluminum plates SpaceX uses to add rideshare payloads to Starlink launches, the plates should offer customers a more modular and flexible platform capable of supporting all kinds of payload adapters and dispensers.
These changes will likely help SpaceX continue to dominate the global satellite launch rideshare market. Since its Smallsat Program first took flight in January 2021, five dedicated Transporter rideshare launches and eight Starlink rideshare launches have delivered approximately 450 customer satellites and payloads to low Earth orbit (LEO). Seven more Transporter missions are scheduled between December 2022 and Q4 2024.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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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.
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:
- 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.
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.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
