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Blue Origin teases first New Glenn rocket prototype at Blue Moon lander event

A cutaway view of New Glenn's massive payload fairing. Blue Origin appears to have begun building the first prototype fairing half as of October 2019. (Blue Origin)

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In May 2019, Blue Origin unveiled plans to build and launch “Blue Moon” lunar landers. Five months later, founder Jeff Bezos has announced a proposal for NASA’s Artemis Moon lander program that would augment Blue Moon with hardware from aerospace stalwarts Lockheed Martin, Northrop Grumman, and Draper to land astronauts on the Moon in the 2020s.

On top of that, Bezos also revealed the first unequivocal confirmation that Blue Origin has begun building full-scale prototype hardware for its ambitious New Glenn orbital launch vehicle – in this case, half of a massive carbon fiber payload fairing.

In a press release posted to the company’s website, Blue Origin’s Chief Executive Officer, Bob Smith, stated that “national challenges call for a national response. We are humbled and inspired to lead this deeply committed team that will land NASA astronauts on the Moon.” The national team will be managed with Blue Origin as the principal contractor and “[combine] our partners’ heritage with our advance work on the Blue Moon lunar lander and its BE-7 engine.”

Solving the lunar landing equation

Each company was selected based on a demonstrated area of expertise that solves a very specific piece of the equation that is landing astronauts on the moon. Blue Origin will serve as the primary contractor leading mission engineering and assurance, as well as providing the lunar Descent Element, Blue Moon. Lockheed Martin will provide the reusable Ascent Element vehicle and lead the operations and flight training of the crew, while Northrop Grumman provides the Transfer Element vehicle to deliver Blue Moon to the lunar surface.

Draper’s contribution is integral to mission success. It will provide a navigation system “designed to give crewed missions precise location and navigation data needed for safe and accurate lunar and planetary landings” as outlined in a NASA Space Technology Mission Directorate statement earlier this month. The Draper navigation system is expected to debut during a launch of Blue Origin’s suborbital rocket, New Shepard as proof of concept by year’s end.

A render of a Blue Moon lander modified to land astronauts (and a separate ascent stage) on the surface of the Moon. (Blue Moon)

Debuting super-heavy rocket hardware

During his IAC presentation, Bezos revealed a video of what is almost certainly the first full-scale prototype hardware of Blue Origin’s reusable New Glenn rocket. In the clip, a massive carbon-composite payload fairing half is moved inside an even larger curing oven located on Blue Origin’s Cape Canaveral, FL campus, offering an incredibly rare glimpse inside the company’s purported New Glenn factory.

New Glenn’s payload fairing will measure 7m (23 ft) wide and roughly 22m (72 ft) tall, dwarfing the 5ish-meter options currently used by SpaceX and ULA. As of now, New Glenn’s payload fairing will be the largest expendable fairing on Earth when it debuts in 2021 or 2022.

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Aside from a Blue Moon lander mockup, Blue Origin also brought an entire BE-4 engine to IAC 2019. Seven BE-4s will power New Glenn’s reusable first stage and the United Launch Alliance (ULA) has also selected BE-4 to power its Vulcan booster. Capable of producing roughly 550,000 lbf (2400 kN) of thrust, Blue Origin is slowly but surely qualifying BE-4 for flight and recently began its first full-thrust static fires at the company’s Van Horn, Texas test facilities.

While Bezos’s presentation provided the briefest of views inside Blue Origin’s rocket factory, Space Coast local Julia Bergeron posted a photo on Twitter showing an impressive fleet of cranes hard at work building Blue Origin’s LC-36 New Glenn launch pad in Cape Canaveral, Florida.

The Blue Origin Cape Canaveral factory where the massive New Glenn rocket is being constructed and an artist rendering of Launch Complex 36 where it will launch from. (Blue Origin)

Blue Origin is notoriously hesitant to share much of anything about its next-generation New Glenn rocket, so it’s a pleasant surprise to receive even the briefest of glimpses behind the scenes. Combined with Blue’s undeniable rocket propulsion expertise and shrewdly political (albeit unsavory) approach to industry collaboration, the company is clearly here to stay and is certainly doing everything it can to give NASA an offer it simply can’t refuse.

Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

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.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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