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Renderings of SpaceX clawboat’s huge net upgrade is a taste of what’s to come
After several close-but-no-cigar attempts at snatching a Falcon 9 payload fairing out of the air, SpaceX’s iconic recovery vessel Mr Steven is currently laid up at the company’s newly-acquired Berth 240 dock space, roughly a week into the process of upgrading his arms to support a much larger net. CEO Elon Musk recently hinted that the boat’s net would be expanded by a factor of four, but what would such a dramatic growth look like?
To give a better idea of what to expect from Mr Steven’s arm and net upgrades, Teslarati’s Reese Wilson modeled and rendered the fairing recovery vessel with one such interpretation. The dimensions and aspect ratios may not be a mirror-image of the real-world Mr Steven, but the visual effect of the net upgrade is still fundamentally the same.
Mr Steven is currently laid up at Berth 240 in a sadly armless state. (Pauline Acalin)
With respect to these renders, the actual net growth is somewhat less than the full fourfold area upgrade mentioned by Musk in early June – the concept art’s net is closer to 2.5 or 3 times larger than Mr Steven’s original net. This slight inaccuracy may actually be serendipitous, as a true 4X net could be downright unwieldy without the addition of some sort of complex retraction mechanism, versus the simple but functional (and infinitely reliable) implementation of fixed steel arms at the current net’s scale.
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- A side-by-side comparison of Mr Steven before (top) and after (bottom) installation of a net with roughly 2.5X greater catching area. (Reese Wilson)
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- Incredibly, this artist rendering of a much larger net installed on Mr Steven was perhaps two or more times smaller than the solution now installed on the vessel. (Reese Wilson)
Dramatic modifications nevertheless are all but guaranteed, as Mr Steven appears to have had the entire arm apparatus – including the steel base attaching them to his cargo deck – completely removed and placed on the side of the dock, still less permanent than the apparent decision to plasma or torch cut each arm off of that base, one of which is visible dockside at Berth 240. It may be possible to re-weld those severed arms onto the base, but it’s arguably more likely that entirely new arms, an entirely new base, or both will be fabricated, and those larger arms will themselves require a much larger net.
Ultimately, the fairing recovery vessel has gotten as close as 50 meters to gently catching a parasailing rocket fairing minutes after launch, an extraordinarily tiny error compared to the broader scope of the task at hand. Upon separation from Falcon 9’s upper stage, each payload fairing half is routinely traveling at speeds of 1.5 to 2 kilometers per second and reach apogees anywhere from 100 to 130 kilometers, all while traveling the better part of a thousand miles (800 mi/1300 km for Iridium-6) to reach Mr Steven’s net. As such, “missing” by 50 meters is an extraordinary achievement.
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- A fairing floats gently into the welcoming embrace of Mr Steven’s upgrade net and arms. (Reese Wilson)
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- With any luck, viewers may get a live view of the vessel’s next recovery attempts. (Reese Wilson)
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- Mr Steven is currently undergoing arm surgery (upgrades) at SpaceX’s future BFR factory lot, known as Berth 240. (Elon Musk)
A fairing floats gently into the welcoming embrace of Mr Steven’s upgrade net and arms. (Reese Wilson)
With the vessel’s current net roughly 30 meters or 100 feet square (Mr Steven is 60m/200ft bow to stern), give or take 25%, a full fourfold upgrade would double each dimension, which could singlehandedly cut the error margin required for fairing recovery (currently 50 meters) by more than 50% if it remains square. If SpaceX finds a way to functionally achieve something close to a fourfold increase in area with a more rectangular aspect ratio (assuming that the fairing’s present error is more a matter of glideslope inaccuracy than properly pointing the half at Mr Steven), a rectangular net with a width ~50% and length ~300% larger – say 40 meters by 80 meters – would completely close the error gap between reliably missing and reliably catching Falcon fairings. To compare, a common football (soccer for our American readers) field is typically 70 meters by 100 meters.
Time will tell, and we’ll find out soon whether those arm and net upgrades can be available for SpaceX’s next California launch, currently scheduled on the morning of July 20th.
One half of SpaceX’s Iridium-6/GRACE-FO just moments before touchdown on the Pacific Ocean. (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
