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SpaceX’s Starship rocket sails through first “flight-like” fueling test
SpaceX’s fully-assembled Starship rocket appears to have sailed through a major wet dress rehearsal test on the first attempt.
With the completion of that test, the next-generation SpaceX rocket has taken a big step toward its first orbital launch attempt. Starship measures around 120 meters (~394 ft) tall and 9 meters (~30 ft) wide, making it the largest rocket ever assembled. It’s designed to launch more than 100 metric tons (~220,000 lb) to low Earth orbit (LEO) in a fully-reusable configuration. At liftoff, Starship’s 33 Raptor engines will produce up to 7590 tons (16.7M lbf) of thrust, making it more powerful than any rocket in history by a large margin.
And on Monday, January 23rd, Starship likely became the heaviest rocket ever after SpaceX fully loaded the vehicle with propellant. Surprising most viewers, SpaceX also appeared to complete the complex test associated with that milestone without running into any major issues.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
The apparent success is surprising because it simply hasn’t been SpaceX’s approach of choice while developing Starship. Since SpaceX began assembling Starhopper in an empty Texas field in 2018, the Starship program has been almost exclusively managed to prioritize speed and expect failures. The company almost always preferred to build, test, and learn from minimum-viable-product prototypes as quickly as possible, even if that meant that failures were guaranteed.
Because SpaceX expected failures, it learned from them and always had another prototype ready to carry the torch forward. Starship prototypes rarely completed ground or flight tests on the first try, as SpaceX was simultaneously learning – often catastrophically – how to test and operate those vehicles. The culmination of that failure-as-an-option strategy was a series of seven suborbital Starship tests – two short hops of identical prototypes and five launch and landing attempts of five more advanced prototypes between August 2020 and May 2021. On the fifth attempt, after four failures, a full-scale Starship successfully launched to 12.5 kilometers (~41,000 ft), shut off its engines, fell back to Earth, reignited its engines, flipped around, and landed in one piece.
By all appearances, the campaign was the ultimate corroboration of SpaceX’s development strategy. In the second half of 2022, however, SpaceX decided to dramatically change the Starship program’s approach to risk management and systems engineering. Starship testing has become exceptionally cautious over the last several months, as a result.
From fail-fast to slow-and-steady
There is a small chance SpaceX simply got lucky, but Starship’s first fully-assembled wet dress rehearsal test appears to indicate that that caution has paid off. Combined, both stages of the rocket – Ship 24 and Booster 7 – collectively completed dozens of separate proof tests and static fires since mid-2022. They also made it through several far more limited tests while stacked.
Having cautiously characterized each prototype about as well as it possibly could, SpaceX finally pulled the trigger on January 23rd. After hours of conditioning the Starbase, Texas orbital launch site’s giant tank farm, SpaceX opened the floodgates and loaded Ship 24 and Booster 7 with up to 4860 tons (~10.7M lbs) of cryogenic liquid oxygen and liquid methane propellant in about 90 minutes. Once fully loaded, the combined weight of the rocket and propellant likely exceeded 5000 tons (~11M lbs), making Starship the heaviest rocket in history. The next heaviest rockets ever built, Saturn V and N-1, weighed around 2800 tons (~6.2M lbs) fully loaded.
SpaceX was also able to drain Starship and return its propellant to the pad’s ground storage tanks about four hours after filling the rocket.
“Flight-like” testing
The company later confirmed that the test was a “full flight-like wet dress rehearsal,” as suspected, and noted that data gathered from it would “help verify a full launch countdown sequence, as well as the performance of Starship and the orbital pad for flight-like operations.” Parts of the test visible from unaffiliated webcasts like NASASpaceflight’s seemed to confirm as much. Shortly after Starship was fully loaded, for example, SpaceX activated the orbital launch mount’s fire extinguisher system, seemingly practicing the moments before the rocket would otherwise ignite its engines and take flight.
At no point during the wet dress rehearsal did SpaceX appear to enter any kind of hold or abort, indicating that the rocket’s systems were all working well enough together to smoothly complete it on the first try. The only mildly concerning behavior visible during the multi-hour test came shortly after Starship was topped off. Booster 7 opened one of its methane tank gas vents to relieve pressure and instead appeared to vent liquid methane, producing a flammable cloud thousands of feet long. More likely than not, the Super Heavy was slightly overfilled, and the liquid vent was an intentional response to that error. The cloud of methane thankfully did not find an ignition source, and Starship went on to finish the test as planned.
SpaceX has a lot of work left to prepare Ship 24 and Booster 7 for Starship’s first orbital launch attempt. Booster 7 must still complete one or several more static fires, during which it could become the most powerful rocket ever tested. To reduce risk, SpaceX will likely remove Ship 24 while testing Super Heavy, and reassemble the rocket only if Booster 7 passes its tests. SpaceX also needs to repair the pad after static fire testing and work with the Federal Aviation Administration (FAA) to finalize Starship’s first orbital launch license.
But after many false positives, Starship’s successful completion of a wet dress rehearsal on the first try has confirmed that the rocket’s orbital launch debut is – for the first time – actually close at hand.
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
