News
SpaceX CEO Elon Musk claims Starship will be ready for first orbital launch in July
CEO Elon Musk claims that SpaceX could be ready to attempt Starship’s first orbital launch as early as July.
While SpaceX has been making slow and steady progress preparing the Starship upper stage and Super Heavy booster nominally assigned to that launch debut, the odds that even just one of those two stages will be fully qualified for flight before the end of July are quite small. Musk’s claims about what will happen after that rocket is ready are even loftier.
According to Musk, after SpaceX is done preparing a Starship and Super Heavy booster for their inaugural orbital launch attempt sometime “next month,” the company will have a second ship and booster pair “ready to fly in August” and another pair every month after that. If SpaceX rapidly completes the dozens of environmental mitigations assigned to it on June 13th and receives an FAA license or experimental permit for orbital Starship launches, the company does theoretically have permission for five orbital launches out of South Texas in 2022, but the same is also true for all 12 months of 2023.
However, there is very little evidence that SpaceX is on the cusp of being able to complete a new orbital-class Starship and Super Heavy booster every month. While SpaceX is working on future Starships and is almost done assembling a second orbital-class Super Heavy booster, the pace of that work appears to be about the same as it’s been for the last 12+ months. Yes, SpaceX is almost done stacking Booster 8 and has begun stacking Ship 25. Sections of Ship 26, Ship 27, and Booster 9 have also been spotted at Starbase. But SpaceX has been unable to finish stacking Booster 8 over the last few months it’s been focused on Ship 24 and Booster 7.
Ship 24 and Booster 7, meanwhile, are making good progress but are still incomplete. Both recently completed several mostly successful cryogenic and structural proof tests and returned to SpaceX’s assembly bays, where workers have begun installing Raptor engines and applying finishing touches.
After a month of work, it appears that Super Heavy B7 may finally be preparing to return to Starbase’s launch site on Thursday, June 16th. Since it returned to the factory on May 14th, SpaceX has been installing 33 new Raptor 2 engines, applying thermal protection to those engines, buttoning up the booster’s aft end, installing control surfaces known as grid fins, and completing a few other unfinished tasks. If all of that work is complete when it rolls out again, B7 could kick off the next phase of its qualification testing – wet dress rehearsals and static fires – shortly after returning to the orbital launch site.
SpaceX has never attempted a full-scale Super Heavy wet dress rehearsal, in which the largest rocket booster ever built will be fully filled with more than three thousand metric tons of flammable cryogenic propellant and put through a simulated launch countdown. SpaceX has also never come close to conducting a full Super Heavy static fire, though it did fire three outdated Raptors on an outdated booster prototype a single time in July 2021.
Ship 24’s position is slightly more favorable, as it only needs six Raptor 2 engines installed. Thanks to Ship 20, which successfully completed several wet dress rehearsals and several static fires that ignited all six engines, Ship 24 will also be heading into terrain that is slightly less uncharted. Still, the Starship’s heat shield needs several hundred more tiles installed, one of four flap aerocover ‘caps’ is missing, and thermal protection will need to be installed around its Raptors.
Once Booster 7 and Ship 24 are both fully outfitted and installed on their respective test stands, there’s still little reason to believe that either prototype has any chance of completing all the tests needed for flight qualification by the end of July. In fact, for B7 and S24 to be truly ready for flight before the end of July, they’d likely need to wrap up qualification testing well before the end of the month to conduct another series of tests after the pair is fully stacked. If SpaceX does not proceed with at least some degree of caution and a plan to thoroughly test both stages before a launch attempt, it will significantly increase the risk of catastrophic launch pad damage that could easily take half a year or more to fix.
More realistically, it’s reasonable to assume that Ship 24 and Booster 7 will both run into some minor issues during their first wet dress rehearsals and static fire tests, possibly requiring Raptor replacements or even minor repairs. Instead of a few weeks, serious flight qualification could take a few months. It’s also arguably far likelier that one or both stages will need to be entirely replaced by Ship 25 or Booster 8 than it is that both will be ready to launch six weeks from now. Both Booster 4 and Ship 24 suffered some degree of damage during proof tests that are in many ways much easier than the wet dress and static fire tests they’ll soon face.
Still, despite the many reasons for pragmatism and expectation management, SpaceX has never been closer to Starship’s orbital launch debut, and the odds of that debut occurring sometime in 2022 have never been better.
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
