News
SpaceX begins installing new ‘Raptor 2’ engines on Super Heavy booster
SpaceX has begun installing new ‘Raptor 2’ engines on Super Heavy Booster 7 after the prototype completed a range of tests and returned to the company’s South Texas ‘Starbase’ rocket factory.
Earlier this month, SpaceX transported Booster 7 (B7) in the opposite direction, returning the 67-meter (~220 ft) tall rocket to Starbase’s orbital launch site (OLS) for the second time after it was forced to head back to the factory for repairs. Repairs completed, SpaceX dove headfirst into the process of verifying that the booster had been returned to full health and immediately filled its tanks to the brim with at least 3000 tons (>6.5M lb) of liquid nitrogen and oxygen – better known as a cryogenic proof test.
Less than 48 hours after completing its first post-repair test, Booster 7 sailed through another full cryoproof test without losing a beat. On May 13th, two days later, SpaceX attached a crane to Super Heavy B7 and removed it from the orbital launch mount before rolling the rocket back to Starbase’s build site on May 14th. Without official confirmation, which is increasingly rare, it was impossible to determine the results of the testing with certainty, but the speed of the process and Booster 7’s rapid launch mount removal made the two most extreme outcomes the most likely.
A quick return to the build site could have been explained by a significant vehicle failure or a major issue with SpaceX’s repair job – no point in continuing to test a vehicle that can’t be fully tested. On the exact opposite hand, a near-perfect test campaign in which all objectives were more or less achieved without major hiccups could also explain the quick return. In general, the evidence was in favor of the more optimistic explanation. Had a major issue been uncovered during the first post-repair cryoproof, it’s difficult to imagine that SpaceX would have completed the exact same test – in full less than 48 hours later.
However, SpaceX moved an in-situ Raptor engine installation stand towards Booster 7 and the orbital launch mount shortly before testing restarted, hinting – for the moment – that the company wanted to begin installing Raptor engines immediately after cryoproof testing. But mid-way through testing, the stand was moved back to its storage area and Super Heavy was instead removed from the mount and returned to the factory, adding a little uncertainty.
Concerns were immediately assuaged on May 17th when SpaceX was spotted moving Raptor engines from a production tent to the ‘megabay’ assembly building containing Booster 7. While the location of the new bay makes it difficult to peek inside from public viewpoints, preventing direct confirmation, it’s very likely SpaceX has begun installing new Raptor 2 engines on Super Heavy B7.
Additionally, confirming some of the more optimistic speculation about SpaceX’s decision to move Booster 7 back to build site, two of the three Raptor engines spotted on May 17th were also labeled “E26” and “E28.” Unless SpaceX’s engine numbering conventions have changed, the labels identify the engines as three of 20 ‘Raptor Boost’ engines that will ultimately populate the outer ring of Super Heavy B7’s aft end. More importantly, the installation of any Raptor Boost 2 (RB2) engines likely indicates that SpaceX has decided to install a full set of 33 Raptors on the booster before kicking off static fire testing.
To limit risk, SpaceX could have begun test-firing Booster 7 with just 1-3 Raptor engines installed and gradually added more as confidence grew. Instead, SpaceX appears to have accepted the added risk of losing 33 brand-new Raptor 2 engines in one fell swoop in return for the possibility of a much faster test campaign. If there are no major surprises during static fire testing, in other words, Booster 7 could be ready for flight far more quickly if the process begins with all 33 engines already installed. Installing Booster 7’s Raptors, heat shield, and aerocovers will be easier back at the build site.
Doing it all at once should also help prevent Booster 7 from suffering Booster 4’s fate and wallowing, unfinished, for months without completing a single useful test. If the gamble works, the first stage of a two-stage Starship could be ready for an orbital launch attempt in just a few months. If the gamble fails and Booster 7 is damaged, destroyed, or otherwise unable to pass the necessary tests, SpaceX will simply move on to Booster 8 sooner than later, having wasted less time on a more cautious Booster 7 test campaign.
It’s unclear how long it will take SpaceX to install all 33 Raptors, construct a heat shield around those engines, and finish buttoning up the rest of Booster 7. In an adjacent assembly bay, SpaceX appears to have nearly finished assembling a similarly upgraded Starship – Ship 24 – that’s first in line to ride Booster 7 into space. The company has also tentatively requested road closures for three 12-hour test windows on May 23rd, 24th, and 25th that either vehicle could use.
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
