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SpaceX’s first orbital Starship launch “highly likely” in November, says Elon Musk
CEO Elon Musk says that it’s “highly likely” SpaceX will be ready to attempt its first orbital Starship launch in November 2022, and possibly as early as late October. But many major hurdles remain.
Adding to a welcome burst of insight into SpaceX’s fully-reusable Starship rocket program, Musk took to Twitter on September 21st to provide a bit more specific insight into the company’s next steps towards a crucial orbital launch debut. On September 19th, the CEO revealed that SpaceX would roll the Starship booster (B7) currently assigned to that debut back to the factory for mysterious “robustness upgrades” – an unexpected move right after a seemingly successful and record-breaking static fire test.
Two days later, Musk has indicated that those upgrades might involve fortifying Super Heavy Booster 7’s thrust section to ensure it can survive Raptor engine failures. With 33 Raptor V2 engines powering it and plenty of evidence that those Raptors are far from perfect reliability, the concern is understandable, even if the response is a bit different than SpaceX’s norm.
Prior to the start of preparations for Starship’s orbital launch debut, SpaceX sped through Starship development like it wanted to destroy as many rockets as possible – which, to some extent, it did. Rather than spend 6-12 months fiddling with the same few prototypes without a single launch attempt, SpaceX churned out Starships and test articles and aggressively tested them. A few times, SpaceX pushed a little too hard and made avoidable mistakes, but most of the failures produced large amounts of data that was then used to improve future vehicles.
The holy grail of that project was high-altitude Starship flight testing, which saw SpaceX finish, test, and launch a new Starship five times in six months, and culminated in the first fully successful high-altitude Starship launch and landing in May 2021.
In comparison, SpaceX’s orbital flight test preparations have been almost unrecognizable. While a good amount of progress has been made in the 16 months since SN15’s successful launch and landing, it’s clear that SpaceX has decided against taking significant risks. After spending more than six months slowly finishing and testing Super Heavy Booster 4 and Starship 20, the first orbital-class pair, SpaceX never even attempted a single Booster 4 static fire and unceremoniously retired both prototypes without attempting to fly either.
Without info from Musk or SpaceX, we may never know why SpaceX stood down B4 and S20, or why the company appears to have revised its development approach to be a bit more conservative after clearly demonstrating the efficacy of moving fast and taking big risks. It’s possible that winning a $3 billion contract that places Starship front and center in NASA’s attempt to return astronauts to the Moon has encouraged a more careful approach. SpaceX won that contract in April 2021.
Even in its more cautious third phase, Starship development is still extraordinarily hardware-rich, moving quickly, and uncovering many problems on the ground in lieu of learning from flight tests. But that doesn’t change the fact that the third phase of Starship development (H2 2021 – today) is proceeding more carefully than the first (Q4 2018 to Q4 2019) and second (Q1 2020 – Q2 2021) phases.
Nonetheless, SpaceX appears to finally be getting closer to Starship’s first orbital launch. According to Musk, the company could be ready for the first launch attempt as early as late October, but a November attempt is “highly likely.” He believes that SpaceX will have two pairs of orbital-class Starships and Super Heavy boosters (B7/S24; B8/S25) “ready for orbital flight by then,” potentially enabling a rapid return to flight after the first attempt. Musk is also excited about Super Heavy Booster 9, which has “many design changes” and a thrust section that will fully isolate all 33 Raptors from each other – crucial for preventing the failure of one engine from damaging others.
Meanwhile, as Musk forecasted, Super Heavy Booster 8 rolled to the launch pad on September 19th and will likely be proof tested in the near future while Booster 7 is upgraded back at the factory.
Encouraging as that may be, history has shown that reality – particularly when it involves Starship’s orbital launch debut – can be quite a bit different than the pictures Elon Musk paints. In September 2021, for example, Musk predicted that SpaceX would conduct the first Super Heavy static fire at Starbase’s orbital launch pad later that month. In reality, that crucial test occurred 11 months later (August 9th, 2022) and used an entirely different booster.
This is to say that significant progress has been made in the last few months, but SpaceX has a huge amount of work left, almost all of which lies in uncharted terrain. Starship 24, which completed its first six-engine static fire earlier this month, is currently undergoing strange modifications that seem to imply that the upper stage is not living up to SpaceX’s expectations. It’s unclear if additional testing will be required.
Super Heavy B7 is headed back to the factory for additional work after a successful seven-Raptor static fire. Once it returns to the pad, the sequencing isn’t clear, but SpaceX will need to complete the first full Super Heavy wet dress rehearsal (fully loading the booster with thousands of tons of flammable propellant) and the first full 33-Raptor static fire. It remains to be seen if SpaceX will continue its conservative approach (i.e. testing one, three, and seven engines over six weeks) or jump straight from seven- to 33-engine testing.
It’s also unclear where Ship 24 fits into that picture. SpaceX will eventually need to (or should) conduct a full wet dress rehearsal of the fully stacked Starship and may even want to attempt a 33-engine static fire with that fully-fueled two-stage vehicle to truly test the rocket under the same conditions it will launch under. Will SpaceX fully stack B7 and S24 as soon as the booster returns to the pad, risking a potentially flightworthy Starship during the riskiest Super Heavy tests yet?
SpaceX’s last year of activity suggests that the company will choose caution and conduct wet dress rehearsals and 33-engine static fires before and after stacking, potentially doubling the amount of testing required. One or several more tests will also be required if SpaceX decides to gradually build up to 33 engines, which is the approach that all Booster 7 activity to date suggests SpaceX will take.
Either way, it will be a major challenge for SpaceX to have a fully-stacked Starship ready to launch by the end of November. If any significant problems arise during any of the several unprecedented tests described above, Musk’s predicted schedule will likely become impossible. As a wildcard, the Federal Aviation Administration (FAA) has yet to issue SpaceX a license or experimental permit for orbital Starship launches, either of which is contingent upon dozens of “mitigations.”
This isn’t to say that it’s impossible for an orbital Starship launch attempt to occur in November. But factoring in the many issues Booster 7 and Ship 24 have experienced during much simpler tests, it’s becoming increasingly implausible that SpaceX will be ready to launch the pair before the end of 2022. Stay tuned.
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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
