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SpaceX’s Mr Steven spotted in high-speed test at sea with upgraded net
SpaceX’s newly-outfitted recovery vessel Mr Steven was recently captured conducting aggressive maneuvers off the coast of Port of Los Angeles, just days after the vessel’s massive new arms and net were installed for the first time. The intense pace of upgrades and acceptance testing confirm beyond any reasonable doubt that SpaceX does not intend to waste its next Falcon 9 fairing recovery attempt, set to accompany the July 25th launch of Iridium-7.
The iconic fairing recovery vessel has – for the past three or four weeks – been undergoing major upgrades to its arms or claws, as well as a massive, new net spanning nearly 0.9 acres (3700 m²). With what appears to be a genuine fourfold increase in usable area for fairing recoveries, SpaceX likely has a very strong chance of actually pulling off its first successful catches and reuses of Falcon 9 payload farings, valued at roughly 5% of the rocket’s cost ($3 million per a $60 million base price) per half. Manufacturing cost and price to the customer are difficult to compare, but it at least offers a hint of the full cost of each ~800 kg segment of carbon fiber and aluminum honeycomb.
Mr Steven seen just after a day spent conducting sea-trials a few miles offshore, July 14. (Pauline Acalin)
Based on photos and video captured between July 12 and 15, Mr Steven’s crew and recovery technicians appeared to waste no time at all leaping from arm and net installation to sea-trials of the new hardware at least as extreme as anything previously observed from the SpaceX-leased vessel. Less than half an hour after leaving the harbor for the first time since his massive new arms arrived, Marinetraffic tracking data showed that Mr Steven was already performing aggressive turns and sprints at speeds up to 20 knots (~25 mph), fairly impressive given the vessel’s 200 foot (62 meter) length and gross weight of nearly 200,000 pounds (82,000 kg).
While this may seem impressive, Mr Steven is a class of ship known as a Fast Supply Vessel (FSV) designed to routinely transport a full 400 metric tons of cargo on its deck at cruising speeds of 23 knots (27 mph), which means that the only thing Mr Steven’s wildly expansive arms likely challenge is the vessel’s center of gravity (balance), hence the follow-up tests with hard turns at high speed.
Also of interest, an extraordinary video of some of that testing – unofficially captured, somehow, by drone – showed the ship aggressively maneuvering in reverse, an ability that could come in useful during recovery attempts if the expanded net’s coincidental protection of Mr Steven’s cockpit means that it can become a less fixed element, actively seeking out falling fairings to help close the gap on each parasailing half’s 50 meter error margin.
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- Mr Steven makes some serious waves, using his pod thrusters to strafe backwards at 5-10 knots. (anonymous)
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- It’s subtle, but a small plus sign appears to ‘mark the spot’ on Mr Steven’s new net, stretching roughly 60×60 meters. (anonymous)
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- Mr Steven shows off the fancy new rigging of that upgraded net. (Pauline Acalin)
Another opportunity fast approaches
Previously scheduled for July 20, Iridium’s NEXT 7 multi-satellite launch was pushed back a handful of days to July 25 to give SpaceX engineers and technicians additional time to prepare what is the company’s third Block 5 Falcon 9 to roll off its Hawthorne, CA assembly line. While suboptimal for the customer and for SpaceX’s manifest, that slight delay very likely padded slim schedule margins for Mr Steven’s major arm upgrades, meaning that the vessel will now be able to participate in the imminent launch’s recovery operations. After the first flightworthy vehicle’s debut in May 2018, SpaceX’s rocket production has ramped up in quite an extreme fashion, jumping from four first stages produced in six months to another three or four boosters completed and tested in Texas in just two months.
While the transportation of Falcon fairings and upper stages is far harder to keep track of, production of those critical components of the rocket have also reached throughput levels that are new territory for SpaceX, including an impressive statistic of an average of one full Merlin 1D rocket engine manufactured daily according to an individual with experience on the factory floor.
The Block 5 iteration of the workhorse SpaceX vehicle is in many ways a wholly new rocket, featuring an array of upgrades that include new heat shielding at the rocket’s base, interstage, and legs; retractable landing legs, upgraded Merlin 1D engines, and a clean-sweep refresh of the vehicle’s avionics, to name just a handful of the major changes included.
SpaceX technicians wrench on a trio of varied Merlin 1Ds in McGregor, Texas, where every single engine is test-fired before being attached to a Falcon 9. (SpaceX)
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
