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SpaceX uses robot dog to inspect Starship after first engine test in months
SpaceX’s first orbital-class Starship prototype has survived the first of several expected Raptor tests, kicking off an engine test campaign that could mark a number of new milestones.
With just 20 minutes left in a seven-hour test window, Starship prototype S20 (Ship 20) appeared to either unsuccessfully attempt its first Raptor static fire test or complete its first intentional Raptor preburner test around 11:40 pm CDT (UTC-5) on Monday, October 18th. Rather than a violent jolt and roar kicking up a cloud of dust, Ship 20 came to life with a (relatively) gentle fireball that lasted for several seconds.
In pursuit of maximum efficiency, Starship’s Raptors require two separate closed-cycle gas generators known as preburners to – as the name suggests – turn its cryogenic (very cold) liquid oxygen and methane propellant into a hot gas mixture that the engine re-ignites to produce thrust. A preburner test, if that’s what Starship S20 completed on Monday night, thus involves activating only the first half of that equation, rapidly producing a giant cloud of flammable gas without actually igniting to produce meaningful thrust.
Preburner tests have become increasingly rare as SpaceX’s sea-level Raptor design matured over the course of tens of thousands of seconds of ground testing and, later, thousands of seconds of ground and flight testing on Starship prototypes. Starship S20 had two engines during its first test. One Raptor was the sea-level optimized variant SpaceX has built dozens of and fired for 30,000+ seconds on the ground. The other, however, was a vacuum-optimized Raptor with a much larger nozzle – the first of its kind to participate in any kind of test while installed on a Starship prototype.
It’s possible that Raptor Vacuum (RVac) engines have even more design tweaks outside of their larger expansion nozzles. Regardless, SpaceX has only built and tested around 10 RVac prototypes over the last year, making it a less mature engine than its sea-level cousins. That could explain why SpaceX appears to have chosen to perform a preburner test first instead of jumping straight into a wet dress rehearsal and static fire. That also means that October 18th’s test was likely the first time a Raptor Vacuum engine has (partially) ignited while installed on a Starship.
The above view from a uniquely situated LabPadre camera all but guarantees that Starship S20’s first engine test was a Raptor Vacuum preburner test and doesn’t offer any strong evidence that it was a two-engine test. Ship 20 still has a number of crucial tests ahead of it before SpaceX can even begin to consider it (or its general design) qualified for flight. That includes multiple static fires, including the first side-by-side static fire of two Raptor variants (RVac and Raptor Center), the first simultaneous static fire of more than three engines, and the first Starship static fire with a full six engines installed.
Ship 20’s preburner test is SpaceX’s first Starbase Raptor test since the first Super Heavy booster static fire in mid-July, almost exactly three months ago.
With any luck, S20’s first preburner test has opened the door for an inaugural static fire of one or both installed engines later this week. However, during that preburner test, the giant fireball Raptor Vacuum emitted appeared to ignite several pieces of pad hardware. SpaceX took advantage of one of at least two Boston Dynamics Spot robots on-site to physically walk a camera up to the active pad and inspect several secondary fires. Ultimately, SpaceX appears to have successfully safed Starship with no damage to the vehicle itself, but odds are good that the sources of those secondary fires will need to be fixed and any pad damage repaired before Ship 20 proceeds into static fire testing. SpaceX has two more 5pm-12am test windows scheduled on October 19th and 20th.
Tesla has taken home the “Overall Loyalty to Make” award from S&P Global Mobility for the fourth consecutive year, reinforcing Tesla owners’ willingness to come back. The 2025 awards are based on S&P Global Mobility’s analysis of 13.6 million new retail vehicle registrations in the U.S. from October 2024 through September 2025. The complete list of 2025 winners includes General Motors for Overall Loyalty to Manufacturer, Tesla for Overall Loyalty to Make, Chevrolet Equinox for Overall Loyalty to Model, Mini for Most Improved Make Loyalty, Subaru for Overall Loyalty to Dealer, and Tesla again for both Ethnic Market Loyalty to Make and Highest Conquest Percentage.
Tesla’s streak in this category started in 2022, and the brand has now won the Highest Conquest Percentage award for six straight years, meaning it keeps pulling buyers away from other brands at a rate no competitor has matched. Tesla’s retention among Asian households reached 63.6% and among Hispanic households 61.9%, rates that significantly outpace national averages for those groups. That breadth of appeal across demographics adds a layer of significance to a win that some might dismiss as routine.
The timing matters too. After several consecutive quarters of decline, Tesla’s share of U.S. EV sales jumped to 59% in Q4 2025. That rebound, arriving just as competitors were flooding the market with new models and incentives, suggests Tesla’s loyalty numbers are not simply the result of limited alternatives. Buyers are still choosing it when they have plenty of other options.
What keeps Tesla owners coming back has a lot to do with the and convenience of charging. The Supercharger network is the most straightforward example. With over 65,000 Superchargers globally, it remains the largest and most reliable fast-charging network in the world, and owners who have built their routines around it face a real practical cost when considering a switch. Competitors have made progress, but the consistency, speed, and availability of Tesla’s network is still the benchmark the rest of the industry is chasing. Then there is the software side. Tesla has built a model where the car you own today is functionally different from the car you bought two years ago, through over-the-air updates that add continuous game-changing improvements such as Full Self-Driving that has moved from a driver-assist feature to an increasingly capable autonomous system. For many Tesla owners, leaving the brand means starting over with a car that will not get meaningfully better over time, and that is a trade-off fewer and fewer are willing to make.
Tesla Robotaxi services in Austin have been operating since last Summer, but Tesla has admittedly been delayed in its expansion of the geofence, fleet size, and other details in a bid to prioritize safety as new technology rolls out.
But those barriers are being broken with new guardrails being removed from the program.
Tesla has achieved a significant advancement in its autonomous ride-hailing program. As of May 4, the Robotaxi fleet in Austin, Texas, has begun operating unsupervised during evening hours for the first time. This expansion moves beyond previous limitations that restricted unsupervised service to daylight hours, typically ending in mid-afternoon.
Tesla Robotaxi in Austin is operating unsupervised in the evenings for the first time today.
Previously in Austin, unsupervised operation ended mid-afternoon
— Robotaxi Tracker (@RtaxiTracker) May 4, 2026
The change brings Austin in line with operations in Dallas and Houston. Those cities have supported evening unsupervised runs since their initial launches in April, and both recently received additions of new unsupervised vehicles to their fleets. This coordinated progress across Texas strengthens Tesla’s regional presence and provides a broader testing ground for the technology.
This milestone carries substantial weight in the development of autonomous vehicles. Extending operations into low-light conditions meaningfully expands the Robotaxi’s operational design domain (ODD)—the specific environments and scenarios in which the system is approved to operate safely without human intervention.
Nighttime driving presents unique technical demands: diminished visibility, headlight glare from oncoming traffic, reduced contrast for identifying pedestrians and lane markings, and greater variability in camera sensor exposure.
Tesla’s pure vision approach, powered by neural networks trained on vast real-world datasets rather than lidar or pre-mapped routes, must handle these variables reliably. Demonstrating consistent unsupervised performance after sunset validates the robustness of the end-to-end AI stack and its ability to generalize across diverse lighting conditions.
Beyond technical validation, the expansion holds important operational and economic implications. Evening hours often coincide with peak urban demand for rides, including commutes, dining, and entertainment outings.
Enabling service during these periods increases daily vehicle utilization, allowing each Robotaxi to generate more revenue while gathering additional high-value training data. Higher utilization accelerates the virtuous cycle of data collection, model improvement, and further ODD growth.
Looking ahead, this step paves the way for more ambitious rollouts. Success in low-light environments positions Tesla to pursue near-24-hour operations, potentially integrating highways and expanding into varied weather patterns. Regulators worldwide frequently demand evidence of safe performance across day-night cycles before granting wider approvals.
Proven capability in Texas could expedite deployments in planned cities such as Phoenix, Miami, Orlando, Tampa, and Las Vegas during the first half of 2026.
Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline
Moreover, scaling evening service supports Tesla’s long-term vision of a high-efficiency robotaxi network. Greater fleet productivity lowers the cost per mile, making autonomous mobility more accessible and competitive against traditional ride-hailing.
As the company iterates on software updates informed by nighttime data, reliability is expected to compound rapidly, unlocking denser urban coverage and longer-distance trips.
In summary, the introduction of an unsupervised evening Robotaxi service in Austin represents more than an incremental schedule adjustment. It signals a critical maturation of the underlying technology and sets the foundation for broader geographic and temporal expansion.
With Texas operations gaining momentum, Tesla is steadily advancing toward transforming urban transportation at scale.
Cybertruck
Tesla Cybercab just rolled through Miami inside a glass box
Tesla paraded a Cybercab in a glass display at Miami’s F1 Grand Prix event this week.
Tesla set up an “Autonomy Pop-Up” at Lummus Park in Miami Beach from April 29 through May 3, 2026, embedded within the official F1 Miami Grand Prix Fan Fest. The centerpiece was a Cybertruck towing the Cybercab inside a glass display case marked “Future is Autonomous,” rolling through the beachfront crowd.
Miami is on Tesla’s confirmed list of cities for robotaxi expansion in the first half of 2026, making the promotion a strategic promotion that lays groundwork in a target market.
This was not Tesla’s first time using Miami as a showcase city. In December 2025, Tesla hosted “The Future of Autonomy Visualized” at its Miami Design District showroom, coinciding with Art Basel Miami Beach. That event featured the Cybercab prototype and Optimus robots interacting with attendees. The F1 pop-up this week marks Tesla’s return to Miami and follows a pattern Tesla has been running since early 2026. Just two weeks before Miami, Tesla stationed Optimus at the Tesla Boston Boylston Street showroom on April 19 and 20, directly on the final stretch of the Boston Marathon, letting tens of thousands of runners and spectators meet the robot for free, generating massive earned media at zero advertising cost.
Tesla is sending its humanoid Optimus robot to the Boston Marathon
Tesla has confirmed plans to expand its robotaxi service to seven cities in the first half of 2026, including Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas, building on the unsupervised service already running in Austin. Musk has said he expects robotaxis to cover between a quarter and half of the United States by end of year. On the production side, Musk told shareholders that the Cybercab manufacturing process could eventually produce up to 5 million vehicles per year, targeting a cycle time of one unit every ten seconds. Scaling robotaxis to 10 million operational units over the next ten years is a key condition of his compensation package, alongside selling 20 million passenger vehicles.
As for the Cybercab’s price, Musk has said buyers will be able to purchase one for under $30,000, with an average operating cost around $0.20 per mile. Whether those numbers hold through full production remains to be seen.
Cybercab at F1 Fan Fest in Miami
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Tesla owners keep coming back for more
Tesla Robotaxi service in Austin achieves monumental new accomplishment
