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Musk calls out SpaceX rival for receiving billion dollar subsidy, ULA head fires back

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Following an intriguing SpaceX testimony before Senate committees in Washington D.C., Musk took to Twitter to share some thoughts on the state of the launch marketplace and SpaceX’s place within it. It didn’t take long for him to relate a somewhat common critique of the United Launch Alliance, SpaceX’s only American competition.

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Tory Bruno, President and Chief Executive of ULA, responded with gloves off just a few hours later, deeming the implied existence of such a subsidy nothing more than a “[persistent] myth”. He spent fifteen or so minutes replying to skeptical and inquisitive followers on Twitter, stating that the Wikipedia paragraph on the subject was incorrect. Bruno was steadfast in his response saying that he had publicly testified on the public procurement process before Congress (he did, and he did not defer on the term “subsidy”), and he adamantly refused to back down on his statement that such a subsidy only existed in mythology.

For better or for worse, Bruno is correct to a large extent. In fact, he published a full editorial on the controversial subject in the canonical SpaceNews Magazine. The ELC (EELV (Evolved Expendable Launch Vehicle) Launch Contract) is the source of this controversy, and while not quite a full billion dollars, the FY2016 ELC contract was for $860 million.

SpaceX has admittedly been chronically doubted and mistreated in the realm of government contracting, and ULA has been less than perfectly civil in the past. Simply by existing, SpaceX in effect disrupted what was a American launch industry monopoly held between Boeing and Lockheed Martin. Those two companies merged their space endeavors approximately 11 years ago and have since been the United Launch Alliance. For reasons that do make a bit of sense but are still mildly obtuse, the United States Air Force chose to purchase ULA launch vehicles and the services that make the launch of those vehicles possible separately. The main given reason for this choice, as explored in Bruno’s editorial, is to give the Air Force added flexibility.

As discussed in the 2016 ELC contract itself, another large need for this type of funding lies in the maintenance of a large workforce, and the constant depreciation of both the Atlas and Delta families of launch vehicles. The Delta family, known mainly for the large Delta IV Heavy, is almost never utilized at this point in time, with Atlas being both more cost effective and more reliable. Regardless, due to contracting, ULA is required to maintain both the workforce and facilities necessary to produce and launch Delta vehicles, in spite of having nearly no “business” thanks to Atlas V. Maintaining a workforce and set of facilities that is in part or whole redundant is not efficient or cost-effective, but it is contractually required. So, while the ELC contract Musk deemed a nearly pointless subsidy does have some major flaws, inefficiencies, and illogical aspects, it is not technically correct to label it a subsidy.

 

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Without the actual contract information, it is also difficult to know if ULA would still receive this contractual payment in lieu of conducting actual launches. Bruno frames it in such a way that it sounds like the U.S. government modifies the payment size based on the number and type of required launches for a given year. If the multi-year agreement means that launches delayed many months or more can still be swapped out at no additional charge, then this does indeed make a certain amount of sense. The array of discussion on the subject nevertheless fails to explore the consequences of launch provider-side issues, the likes of which ULA and Atlas 5 experienced earlier this year, resulting in some amount of delays.

While there can be no doubt that the actual gritty details of the ELC contracts deal explicitly with such possible outcomes, the lack of transparency (be that as a result of publicly inaccessible contract details or highly obtuse and lingo-heavy contract language) ultimately frames ELC contracts and the vehemence with which ULA defends them as a wasteful, overly complex, and unnecessary alternative to simply offering a fixed product with services inherently included, as SpaceX does.

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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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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.

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Credit: xAI

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.

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“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.

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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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