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SpaceX, ULA win multibillion-dollar military launch contract years in the making

SpaceX is now set to create an upgraded Falcon fairing and build a massive, mobile building to satisfy stringent US military requirements. (SpaceX)

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Ending a process that began almost two years ago, the US Air Force (now Space Force) has selected SpaceX and ULA to be the recipients of a multibillion-dollar series of launch contracts that stretch into the late 2020s.

Known as the National Security Space Launch Phase 2 Launch Services Acquisition (LSA), the US Air Force publicly began the initiative in Q4 2018. In May 2019, the LSA process was opened to bidders and the military ultimately received serious proposals from SpaceX, the United Launch Alliance (ULA), Northrop Grumman, and Blue Origin.

While the latter three companies proposed their respective next-generation rockets – still in development – to complete at least a dozen military launches from 2022 to 2027, SpaceX offered up Falcon 9 and Falcon Heavy. As of April 2020, Falcon 9 officially usurped ULA’s Atlas V rocket to become the United States’ most prolific operational rocket. While ULA has technically included Atlas V as a backup option in its NSSL Phase 2 bid, the company’s primary launch vehicle is Vulcan Centaur, scheduled to fly for the first time no earlier than July 2021.

(Teslarati – ULA/NGIS/Blue Origin/SpaceX)

As a result, failing to award SpaceX at least one of the two NSSL LSA Phase 2 slots – split 60:40 – would have almost assuredly made a farce of the US military competition. The real question, then, was who would win the other award, and whether the US military would shock the industry with a final decision more technical than political. As previously discussed on Teslarati, the fact that four separate companies submitted serious bids for Phase 2 gave the US military a significant opportunity.

“For dubious reasons, the US Air Force (USAF) has structured the NSSL Phase 2 acquisition in such a way that – despite there being four possible competitors – only two will be awarded contracts at its conclusion. The roughly ~34 launch contracts up for grabs would be split 60:40 between the two victors, leaving two competitors completely empty handed.”

Teslarati.com — August 14th, 2019

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Despite repeated petitions by Blue Origin and the attempted intervention of lawmakers in Congress, the US military remained ardently against awarding Phase 2 launch contracts to more than two providers throughout the competition. Barring a successful protest from snubbed bidders Northrop Grumman and/or Blue Origin, it appears that the military ultimately won the battle, selecting two providers.

Omega. (Northrop Grumman)
New Glenn. (Blue Origin)

Instead of awarding even just a handful of the 34 launch contracts up for grabs to Northrop Grumman, the US Space Force is all but guaranteeing that the company’s Omega rocket will die in the cradle without an immediate slew of additional military contracts. There’s a chance that NSSL Phase 1 LSA funding will continue, likely giving NG the money it needs to complete Omega’s development, but that’s far from guaranteed.

Funded entirely out of Jeff Bezos’ pocket, Blue Origin’s ambitious New Glenn reusable rocket is more insulated from a lack of US military contracts and the company could also continue to receive several hundred million dollars as part of an LSA Phase 1 award. For Blue Origin, already set on entering New Glenn into the commercial launch market, military funding could ensure that the company does the extra work needed to certify the rocket and its production facilities for military launches.

Down the road, that means that the US Air Force, Space Force, or National Reconnaissance Office (NRO) could all feasibly award Blue Origin or Northrop Grumman launch contracts outside the 34 Phase 2 missions without having to start a development and certification process that can take a year or more from scratch.

SpaceX completed its first operational US military Falcon 9 launch on June 30th. (Richard Angle)

Regardless of the missed opportunities, the NSSL LSA Phase 2 contract is a major win for SpaceX and guarantees the company’s Falcon 9 and Falcon Heavy rockets some 13-14 military launch contracts over a five-year period. For ULA, the victory is likely a massive relief, given that the company’s next-generation (expendable) Vulcan Centaur rocket has next to no chance of sustaining itself with commercial launch contracts. Much like Atlas V in the last decade of the rocket’s life and Delta IV over most of its two-decade career, ULA’s Vulcan rocket will continue the trend of relying almost exclusively on US military contracts.

This time around, however, the US military’s preferential treatment of ULA is nakedly obvious. At almost every turn, SpaceX’s Falcon 9 and Falcon Heavy rockets can provide the same launch services as ULA for anywhere from 20-50% less. For the few missions (direct to geostationary) where ULA’s Atlas V, Delta IV, and Vulcan rockets might actually have a step up over SpaceX, the US could have easily awarded ULA the smaller 40% share or even split that 40% share with Blue Origin or Northrop Grumman, giving SpaceX the lion’s share and likely saving hundreds of millions of dollars – if not $1B+ – over the next seven years.

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Instead, business (more or less) as usual will continue for at least another decade as the US military functionally subsidizes ULA’s existence by prioritizing a more expensive rocket to achieve the same outcome. The first LSA Phase 2 launches are currently scheduled to begin no earlier than (NET) 2022.

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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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Tesla intertwines FSD with in-house Insurance for attractive incentive

Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.

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tesla interior operating on full self driving
Credit: TESLARATI

Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.

Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.

The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.

The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.

Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.

The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.

Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.

For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.

Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.

The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.

Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.

Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.

Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.

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Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability

The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.

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Credit: Elon Musk | X

Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.

But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”

He said that AI4 is enough to do that.

Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.

Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.

Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.

The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.

Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.

But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.

On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).

Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.

Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.

Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.

Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.

In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.

The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.

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Elon Musk signals expansion of Tesla’s unique side business

Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.

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tesla diner
Credit: Tesla

Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.

Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.

Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.

He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.

Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.

The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.

The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.

Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.

The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.

Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.

If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.

Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.

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