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(Update: scrubbed) SpaceX’s next Starlink launch to break rocket fairing reuse record
Update: SpaceX says that today’s Starlink-12 launch attempt was scrubbed due to a mysterious “recovery issue.” Liftoff from Kennedy Space Center Pad 39A is now scheduled no earlier than (NET) 1:57 pm EDT (17:57 UTC) on Friday, September 18th.
Prior to the announcement, fairing recovery ship GO Ms. Tree was spotted diverting to a North Carolina port for unknown reasons, leaving twin ship Ms. Chief to recover both fairing halves. Based on bouy data, conditions at the Atlantic Ocean fairing and booster recovery zones appeared to be moderately challenging but far from unreasonable and SpaceX has been happy to point to recovery weather for past launch delays.
SpaceX has revealed that its next Starlink launch will mark a new first for Falcon 9 payload fairing reuse, reaching a milestone that took booster reuse 18 months in less than a year.
Scheduled to lift off no earlier than (NET) 2:19 pm EDT (18:19 UTC) on Thursday, September 17th, the Starlink-12 (v1.0 L12) mission will be SpaceX’s 11th in 2020 alone and 13th overall. If things go according to plan, it could leave SpaceX’s nascent constellation just two or so months away from the beginning of the first public beta tests of Starlink internet service.
Meanwhile, Falcon 9 booster B1058 will be attempting its third launch less than four months after its flight debut, an unprecedented cadence of reuse for SpaceX. Aside from likely ensuring that B1058 becomes the proud holder of SpaceX’s first and second place records for booster turnaround (time between launches), the mission also continues an unexpected trend: the near-extinction of Falcon 9 static fire tests.
SpaceX’s first successful Falcon booster landing happened in December 2015, just a few months shy of five years ago. In March 2017, two years later, SpaceX reused a Falcon 9 booster on an orbital-class launch for the first time in history. Some 21 months after that historic milestone, SpaceX launched the same Falcon 9 booster for the third time, kicking off a relentless series of reusability firsts that continue to be made to this day.
Now, SpaceX says it’s about to launch the same Falcon 9 payload fairing half for the third time in a significant and unexpected first for fairing reuse. Constructed primarily out of a carbon fiber-aluminum honeycomb composite material, Falcon fairings are dramatically more fragile – and reaches much higher altitudes and velocities – than the boosters SpaceX has cut its teeth on recovering and reusing.
Compared to booster reuse, it’s quite the achievement. SpaceX first managed to launch the same Falcon 9 booster three times in December 2018, ~33 months after the first booster reuse. Measured from SpaceX’s first fairing reuse, completed in November 2019 as part of the first Starlink v1.0 launch (Starlink-1), the company will have managed to cross the three-flight fairing reuse barrier less than 11 months later – a full three times faster than SpaceX’s booster reuse program took to achieve the same milestone.
Additionally, prior to SpaceX’s September 16th reveal, it was purely up to speculation whether the company would be able to reuse Falcon fairing halves more than once, particularly when a given fairing half is only fished out of the ocean. If successful, Starlink-12 will prove that Falcon fairing halves can be reused at least three times regardless of whether SpaceX was/is able to catch said halve in a recovery ship’s net.
No more static fires?
Meanwhile, SpaceX appears to be turning a major corner on Falcon 9 launch operations. Of all 93 Falcon 9 launches since the rocket’s June 2010 debut, every single one has been preceded by a combined wet dress rehearsal (WDR) and static fire test a few days or weeks prior to liftoff. Effectively simulating a launch 1:1 up to the exact moment before liftoff, SpaceX has used static fires to verify vehicle health and firewall minor quality assurance lapses for as long as it’s been launching rockets.
In a major operational change that has almost flown under the radar, SpaceX appears to have killed the practice of universal prelaunch static fires beginning with Starlink-8 in June 2020. Including Starlink-8, of the seven launches SpaceX has completed in the last three months, just three (GPS III SV03, Starlink-9, and Starlink-10) included Falcon 9 static fire tests prior to liftoff. A step further, two of the four static fire-free launches were for major commercial missions – not retiring risk on SpaceX’s own Starlink launches, in other words.
As of today, Falcon 9 has completed 65 successful launches since the last catastrophic vehicle failure (Amos-6, September 2016) and 74 consecutively-successful launches if Amos-6 (which never lifted off) is excluded. As of 2020, it’s the most reliable US launch vehicle currently in operation, surpassing ULA’s Atlas V several months ago. In fewer words, it’s not actually surprising (in retrospect) that SpaceX has begun to relax its position on static fires – especially considering that there isn’t another launch provider on Earth that static fires rockets before every launch.
More likely than not, SpaceX will continue to static fire Falcon 9 and Heavy boosters at the launch pad before their flight debuts and upon customer request. If launch or post-flight inspection data offer reason(s) for concern, SpaceX may still choose to static fire boosters out of caution. Additionally, SpaceX shows no signs of ending the practice of performing full booster static fires in McGregor, Texas as part of acceptance testing, still leaving it a step beyond traditional rocket manufacturers, which only static fire individual engines.
Regardless, SpaceX’s 13th Starlink launch will be streamed live as usual, with coverage beginning around 15 minutes prior to liftoff.
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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.
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
