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SpaceX Starbase construction takes priority as next orbital Starship, Super Heavy pair come together
As SpaceX teams slowly prepare the first orbital-class Starship and Super Heavy booster for the next-generation rocket’s first full-stack launch, the company has simultaneously begun assembling a second ship/booster pair. However, it’s clear that orbital pad construction remains a priority.
Known as Ship 20 and Booster 4, the two stages of the first orbital-class Starship first arrived at the launch site in early August. Only eight weeks later has Starship S20 finally become the first of the pair to attempt and complete one of two crucial proof tests, opening the door for one or several Raptor static fires in the coming week or two. Meanwhile, Booster 4 has had all 29 of its Raptor engines installed, uninstalled, and reinstalled and twice been placed on and removed from Starbase’s orbital launch mount in the same time frame but has yet to attempt any proof testing.
Despite the apparent delays and challenges slowing Ship 20 and Booster 4’s test debuts and two plodding FAA reviews that appear all but guaranteed to preclude an orbital launch attempt in 2021, though, SpaceX has recently begun assembling a second two-stage Starship.
Save for Starhopper back in 2019, no Starship or Super Heavy prototype has spent nearly as long at the launch site without a single test as Ship 20 and Booster 4 have. To an extent, there have likely been some technical delays while assembling, outfitting, and working with two first-of-their-kind prototypes. Still, the difference between past vehicles like Starship SN15 and Super Heavy Booster 3 are so stark that some portion of the testing delays almost has to be a conscious decision made by SpaceX.
To be able to fully proof and static fire test Super Heavy B4, SpaceX first needs to plumb, wire, and outfit Starbase’s orbital launch mount and complete a majority of the orbital pad’s massive tank farm. However, the orbital pad and its many unfinished systems are situated just a thousand (~300m) east of the suborbital launch site and Starship test facilities, which are complete and ready for testing. To test a Starship at those facilities, SpaceX has to entirely clear the pad of personnel – now several hundred people at the peak of construction – for 6-12+ hours.
The implication is that SpaceX management effectively chose to rip off the bandage now rather than later, sacrificing timely testing of Starship S20 to allow a near-total focus on orbital pad construction and activation over the last ~8 weeks. It’s hard to say if that’s paid off but the fact that SpaceX has chosen this particular moment to begin assembling the next orbital-class Starship and Super Heavy suggests that a clearer plan is starting to come together.
B4/S20, meet B5/S21
Parts of Starship S21 and Super Heavy B5 have been floating around Starbase’s build site for weeks. There was a multi-week period, for example, where the site’s massive high bay was effectively unused – clearly a conscious choice given SpaceX’s history of Starship prototype production earlier this year and late last. Parts of Super Heavy B5 were likely ready for assembly (i.e. stacking) by mid to late August. The ‘mid bay’ used for Starship tank section assembly has been similarly underutilized for even longer – only recently accepting its first Starship S21 section after supporting assembly of the orbital pad’s final storage tank.
Instead, Booster 5 stacking began around September 15th. At the current rate of assembly, which has slowed down considerably in the last week, SpaceX’s second flightworthy Super Heavy could reach its full 69m (~225 ft) height as early as mid-October. Starship S20 likely won’t be far behind. Further, thanks to SpaceX’s preferred style of continuous improvement, Booster 5 and Ship 21 production already appear well on track to outpace Booster 4 and Ship 20. With B5, rather than installing a range of external equipment (avionics, wiring, plumbing) after assembly is finished, SpaceX appears to be completing some of those subsystems during stacking, potentially speeding up final assembly by 1-2+ weeks. With S21, SpaceX has begun outfitting the Starship’s nose cone with heat shield tiles far earlier in the assembly process than it did with S20.
Given that it has taken SpaceX the better part of a month to finish and spot-fix Starship S20’s heat shield since the prototype’s second trip to the test site, taking those lessons learned to heart and getting Starship S21’s heat shield installation right on the first try could cut weeks from final assembly.
In the meantime, after completing Ship 20’s first cryoproof test on September 29th, SpaceX will hopefully be able to kick off the first six-engine Raptor static fire test campaign within the next week or so. With any luck, the start of B5/S21 assembly also means that the orbital launch pad is nearly ready to support Super Heavy B4’s first proof tests, even if static fires with anything close to a full set of 29 Raptors appear to be weeks away. Regardless, it looks like it won’t be long before SpaceX will be juggling two pairs of orbital-class Starships and Super Heavy boosters.
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
