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SpaceX stress-tests Starship-catching arms with giant water balloons
SpaceX has begun testing Starbase’s rocket-catching arms with ballast to simulate the weight of Starship and Super Heavy.
SpaceX started the process of proof testing those arms about a week ago, beginning with some basic calibration work. Together, the three arms and launch tower amount to a giant custom-built robot that SpaceX CEO Elon Musk has deemed “Mechazilla.” Controlled with a complex system of hydraulic and electromechanical actuators spread throughout each structure, SpaceX must calibrate all of those devices to enable the full range of motion the arms are meant to be capable of. To do so, SpaceX appeared to actuate both catch arms (also known as “chopsticks”) as far as they were able to move on January 4th, producing data that could be fed back into the system’s control software to properly set limits of motion.
A handful of days later, arm testing continued, with SpaceX lifting the carriage higher than it had traveled before and demonstrating more complex longitudinal movements that required synchronized motion of both arms. On January 9th, SpaceX performed the most ambitious arm testing yet, nearly lifting the arms to the top of their ~140 meter (~460 ft) tall launch tower backbone to simulate the range of vertical motion required to lift and stack Starship and Super Heavy.
SpaceX also installed a temporary frame meant to simulate a Starship or Super Heavy booster, foreshadowing additional testing planned in the coming days. That jig upped the stakes for the longitudinal actuation portion of January 9th’s testing, as anything less than the precise, synchronized movement of both arms could have caused the heavy steel frame to fall hundreds of feet onto a range of equipment and structures directly below it. Thankfully, the arms performed well and returned to their resting position without issue.
On January 11th, SpaceX proceeded to install six ‘water bags’ – three to a side – on the Starship simulator frame. Amounting to giant, heavy-duty water balloons, those bags are routinely used to stress-test large structures and devices by simulating payloads that might be too expensive or inconvenient to use solely for testing purposes. With those seemingly empty bags attached, SpaceX proceeded to move the catch arms up and down the full length of the launch tower at record speed, taking about seven minutes to climb and descend ~120 meters (~400 ft) – averaging a brisk 0.6 mph or 1 km/h.
Here is a video from Giga Texas of this type of mass simulator! pic.twitter.com/uHfah45WVt— Zack Golden (@CSI_Starbase) January 11, 2022
On January 12th, SpaceX filled the balls with water, producing some… interesting… visuals. Ridiculous appearances aside, the six bags SpaceX chose to use could be 20, 35, or 50-ton variants, meaning that all six could weigh anywhere from 120 to 300 tons (264,000-660,000 lb) if fully filled. In other words, perfect for simulating the dry masses of Starship (roughly 80-120 tons) and Super Heavy (150-200+ tons).
SpaceX did appear to fully fill around four of the six bags and partially filled the other two, causing the whole arm structure to visibly sag during the fill process as the weight of the ballast stretched the several-inch-thick steel cable holding the whole device aloft. In the late afternoon, the laden arms lifted around 10-20 meters and rotated left and right, partially demonstrating the process of rotating a lifted Starship or Super Heavy into position for stacking or launch mount installation. They were never lifted high enough to truly demonstrate that ability, though, and were lowered back to the ground soon after.
As of 10pm CST, January 12th, the water bags appear to have been fully drained after their first excursion. It’s likely that load-testing will continue over the next several days or weeks – SpaceX may just want to avoid leaving the arms fully loaded overnight.
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
