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Report: SpaceX to launch at least five back-to-back Crew Dragon missions for NASA
Update: Wasting no time at all, NASA has confirmed the Ars Technica report one day later, announcing that rookie astronauts Nicole Mann and Josh Cassada have been reassigned from Boeing Starliner missions to SpaceX’s Crew-5 Crew Dragon launch – currently no earlier than August 2022.
Ars Technica’s Eric Berger reports that NASA has begun the process of moving a number of astronauts assigned to Boeing’s ailing Starliner spacecraft to a SpaceX Crew Dragon mission scheduled no earlier than August 2022.
Per sources close to Berger, NASA has chosen to reassign two rookie astronauts to Crew Dragon as hopes of a crewed Starliner launch – and thus an opportunity for them to gain hands-on spaceflight experience – in the next 6-12 months continue to wither. Barring surprises, the implied change of plans behind those actions means that SpaceX now appears to be scheduled to fly five operational NASA Crew Dragon missions back to back before Boeing’s Starliner flies a single astronaut – let alone its first operational mission with four crew aboard.
In December 2019, nine months after Crew Dragon’s own uncrewed March 2019 debut, Starliner lifted off for the first time on a ULA Atlas V rocket. However, whereas Crew Dragon performed a practically flawless orbital launch, space station rendezvous, docking, departure, reentry, and splashdown on its first try, Starliner’s Orbital Flight Test (OFT) went horribly wrong as soon as it separated from Atlas V.
Due to shoddy prelaunch testing that failed to detect several gaping holes in Starliner’s software, the spacecraft effectively lost control as soon as it was under its own power. Aside from making ground communication and control far harder, Starliner burned through most of its propellant and pushed most of its maneuvering thrusters past their design limits in the first hour or two after launch. Due to the catastrophic software failure and lack of propellant margins, NASA unsurprisingly called off a planned space station rendezvous and docking attempt and Boeing ultimately ordered Starliner to reenter a few days after launch.
Mere hours before reentry, Boeing apparently detected and fixed another major software error at the last second, potentially preventing Starliner’s propulsion and service module from smashing into the capsule’s fragile heat shield and dooming the spacecraft to burn up during reentry. Ultimately, it’s likely that the only reason Boeing didn’t suffer a total loss of vehicle (LOV) during Starliner’s OFT debut spacecraft was dumb luck. Had the initial clock error been worse, Starliner could have failed to reach orbit entirely or burned through all of its propellant, resulting in an uncontrolled reentry. Had there been no clock issue, it’s hard to imagine that Boeing’s software team would have attempted the panicked, impromptu bug hunt that detected and fixed the service module recontact issue.
Now, 22 months after Starliner’s catastrophic OFT, Boeing has been forced to stand down from a second self-funded orbital flight test (OFT-2) due to the last-second discovery of more than a dozen malfunctioning valves on the second spacecraft’s service module. Aside from raising the question of how Boeing and NASA yet again failed to detect a glaring Starliner issue until the day of launch, Starliner’s valve issues appear likely to cause another multi-month delay as Boeing is forced to investigate the problem, find the root cause, and implement a fix on all impacted service modules.
NASA reassigning some of the astronauts scheduled to helm Starliner on its Crewed Flight Test (CFT) and first operational mission to Crew Dragon’s August 2022 Crew-5 launch seemingly implies that the space agency is not confident that Boeing will have completed Starliner OFT-2, passed extensive post-flight reviews, and readied another Starliner for CFT by Q3 2022. Given that NASA took some 14 months to OK Crew Dragon’s Demo-2 crewed flight test after Demo-1’s March 2019 success and a catastrophic April 2019 failure during a ground test of the recovered capsule, it’s not unreasonable to assume that NASA will take about a year after OFT-2 to approve Starliner’s first crewed flight test.
If significant issues arise during OFT-2, which is now unlikely to occur before early 2022, a year-long gap is even more likely. Ultimately, that means that there is now a significant chance that SpaceX’s Crew Dragon spacecraft will complete not just five – but six – back-to-back operational NASA astronaut launches before Starliner is ready for its first operational ferry mission. SpaceX, in other words, is now expected to singlehandedly hold the line and ensure biannual NASA access to and from the International Space Station (ISS) for more than two years despite charging NASA $2 billion less than Boeing (~$5B vs ~$3B) to develop Crew Dragon.
News
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.
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.
Elon Musk
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.
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.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
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.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
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.
Elon Musk
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.
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.
Sure
— Elon Musk (@elonmusk) April 15, 2026
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.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
