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SpaceX sends Starship’s first vacuum Raptor engine to Boca Chica
For the first time, SpaceX has shipped a vacuum-optimized Raptor engine to its Boca Chica, Texas Starship factory days after the company’s present reiterated plans for an inaugural orbital launch attempt as early as July.
Back in March 2021, CEO Elon Musk confirmed that he’d set SpaceX a goal of attempting Starship’s first orbital launch no later than the end of July – around four and a half months distant at the time. Fifteen weeks later, though the prospects of an orbital launch attempt happening in July have practically shrunk to zero, SpaceX COO and President Gwynne Shotwell – best known for acting as a more grounded foil to Musk’s often impractical schedule estimates – reiterated that the company is still “shooting for July” for Starship’s first orbital launch attempt.
As of late June, hitting that target would require SpaceX to string together numerous extraordinary feats of engineering and rocketry in record time or attempt some extremely unorthodox corner-cutting.
The launch pad and launch vehicle hardware needed for Starship’s first space shot are currently far from ready for flight. On June 24th, Musk unexpectedly revealed that the Super Heavy booster prototype SpaceX is now in the late stages of assembly isn’t actually the booster that will carry Starship on its first space launch attempt. In other words, though dozens of rings in various states of work are strewn about SpaceX’s Boca Chica factory, the company has yet to begin assembling the massive 65m (~215 ft) tall booster required for the first orbital launch attempt.
Using Super Heavy Booster 3 (B3) as a ruler, assembly could easily take 9-10 weeks – starting whenever the process actually begins. If SpaceX started stacking Booster 4 today, in other words, it’s unlikely that the rocket would even be complete by the end of August. Barring SpaceX taking unprecedented shortcuts, completing the booster is just part of the process of preparing for flight and B4 would still need to be qualified for flight, likely involving at least one cryogenic proof and static fire test.
In a best-case scenario where SpaceX begins assembly today, manages to halve Booster 4 assembly time in one fell swoop, the sneaks the second Super Heavy ever completed through qualification testing in a single week, the orbital flight test booster still wouldn’t be ready for Starship installation (likely another unprecedented first) before mid-August.
That would then leave SpaceX five or six weeks to fully assemble Starship S20, a process that has yet to begin. Like Starship SN15, which Musk said sported “hundreds of improvements”, Musk has also stated that Ship 20 and all after it will feature another batch of upgrades needed to take Starship orbital. Starship SN15 was very gradually stacked and assembled over the course of almost four months, though that slow assembly can likely be blamed on the fact that SpaceX is busy testing Starships SN8 through SN11 and was effectively waiting to see if any other major changes might be required.
While most of S20’s upgrades are a mystery, the ship’s thrust dome – spotted in work at Boca Chica earlier this month – has already confirmed that the prototype will be the first with the necessary hardware for Raptor Vacuum engine installation. That likely means that S20 will also be the first Starship to attempt to static fire six Raptor engines*, potentially producing more thrust than a Falcon 9 booster. On June 27th, one such vacuum-optimized Raptor (RVac) arrived in Boca Chica for the first time ever, making it clear that the comparatively brand new engine may already be ready to start integrated Starship testing.
*Update: SpaceX CEO Elon Musk says that the Raptor Vacuum delivered to Boca Chica on June 27th is, in fact, meant for Starship S20, seemingly confirming that the prototype will fly with a full six Raptor engines.
Of course, beyond Starship and Super Heavy, SpaceX also has a great deal of work left to get the rocket’s first orbital-class launch facilities partially operational. SpaceX will need to complete and activate at least one or two more custom-built propellant storage tanks, sleeve those three or four tanks with three or four massive thermos-like ‘shells,’ complete thousands of feet of insulated plumbing and wiring, finish a massive ‘launch table,’ install that table on a six-legged ‘launch mount;’ outfit that table and mount with an array of power, avionics, hydraulics, and fueling equipment and plumbing; complete a ~145m (~475 ft) ‘integration tower,’ and perform the first fit checks and shakedown tests with a real booster or Starship.
Only then will SpaceX be able to attempt Starship’s first space launch. All told, it might not be literally impossible for SpaceX to complete all the above work in less than five weeks, but it’s safe to say that the odds of that happening could probably make a lottery ticket blush. Regardless, if Starship reaches orbit at any point before the end of 2021, it would beat out simpler “next-generation” rockets like Ariane 6, ULA’s Vulcan, and Blue Origin’s New Glenn despite beginning concerted development years later and with a far less certain funding situation.
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
