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Firefly launches world’s largest carbon fiber rocket into orbit on second try
Firefly Aerospace’s Alpha rocket has successfully reached orbit on its second try, cementing the company as the victor of a mostly unintentional race between three American NewSpace startups.
After weeks of delays and three aborted launch attempts on September 11th, 12th, and 30th, the second carbon-fiber Alpha rocket lifted off from its Vandenberg Space Force Base (VSFB) SLC-2W launch pad at 12:01 am PDT (07:01 UTC) on October 1st. According to Firefly, the resulting mission was a “100%…success”, indicating that it achieved all of the company’s objectives – an outcome far from guaranteed on the second flight of any orbital rocket.
In a familiar display, Alpha’s suborbital booster lifted the upper stage, fairing, and payload most of the way out of the Earth’s atmosphere within a few minutes. After a mechanical system pushed the two stages apart, the upper stage successfully ignited its lone Lightning engine, ejected the two-piece fairing (nose cone) protecting its payloads, and continued uphill for another five minutes before reaching a stable parking orbit around 250 kilometers (~160 mi) above Earth’s surface.
After successfully reaching orbit, Alpha’s upper stage even made it through a more than 90-minute coast phase and reignited for a brief second burn. Finally, Alpha managed to deploy all seven of the satellites it lifted off with. As a test flight, there was no guarantee that those payloads would end up anywhere other than the Pacific Ocean, so the successful deployment was likely a very pleasant surprise for all satellite operators involved in the mission.
Nicknamed “Into The Black” by Firefly, it was the company’s second Alpha flight and followed an unsuccessful attempt on September 3rd, 2021. During the rocket’s first launch, a loose cable caused one of its booster’s four main Reaver engines to fail almost immediately after liftoff, dooming the attempt. However, the rest of the booster fought for more than two minutes to keep the mission on track before a termination system destroyed the rocket, demonstrating otherwise excellent performance and gathering invaluable data and experience.
Firefly wasted no time putting that experience to good use. Compared to the first vehicle, the booster and upper stage for Alpha’s second flight sailed through preflight testing and completed their respective proof tests (a combined wet dress rehearsal and static fire) on their first tries. That smooth processing bodes well for the timing of Firefly’s third Alpha launch, although the company’s official accounts have strangely been almost silent after Flight 2’s success.
Soon after launch, third-party data showed that Alpha deployed its seven payloads into a 210 x 270 kilometer (130 x 170 mi) orbit. Firefly’s official launch page had stated that the target orbit was 300 kilometers (~185 mi) and called the second ignition of the upper stage a “circularization burn.” Given that the final orbit is far from circular and has an apogee a full 10% below that stated target, it wasn’t clear the rocket had performed exactly as expected. The orbit’s very low perigee means that the customer satellites Alpha deployed could reenter Earth’s atmosphere and burn up after a matter of weeks in space, rather than months or years.
But according to Bill Weber, who became CEO of Firefly less than a month before the launch, Alpha “deployed [Firefly’s] customer payloads at exactly the spot [the company] intended,” strongly implying that the strange final orbit was intentional.
Additionally, official footage Firefly released after the launch suggests that Alpha’s upper stage Lightning engine nozzle narrowly missed the booster’s interstage during stage separation. Had the drifting booster hit that nozzle, it would have likely caused the upper stage to begin tumbling and potentially ended the mission well before orbit. Thankfully, it didn’t, and it should be relatively easy to fix whatever caused the Alpha booster to begin slipping sideways so quickly after separation.
Alpha is the largest all-carbon-fiber rocket ever built. It stands 29.5 meters (~95 ft) tall, 1.8 meters (6 ft) wide, weighs 54 tons (~120,000 lb) fully fueled, and can produce up 81 tons of thrust (~180,000 lbf). Alpha can launch up to 1.17 tons ~(2600 lb) of useful cargo to low Earth orbit (LEO), making it the first successful entrant in a new and rapidly growing field of privately-developed rockets designed to launch 1-2 tons to orbit.
Coincidentally, Firefly found itself neck and neck with two other prospective US providers, Relativity Space and ABL Space. For several months, all three companies were aiming to successfully launch their one-ton-class rockets to orbit sometime in the late summer or early fall. But despite delays, Firefly – already more than a year ahead after its first launch attempt in 2021 – still beat Relativity and ABL Space to flight and did so successfully, securing itself a small but significant milestone in the history of private spaceflight.
The timeline for Relativity’s first 3D-printed Terran-1 rocket launch is no longer clear after a hurricane disrupted its preflight test campaign. ABL Space, meanwhile, has been forced to sit with its first RS1 rocket ready to launch for weeks while waiting on the FAA to complete paperwork and grant it a launch license. Had the FAA moved faster, it’s entirely possible that ABL Space could have launched before Firefly’s Alpha Flight 2, although the odds of success are much lower for RS1 during its debut. Pending that regulatory approval, ABL Space intends to launch RS1 out of Kodiak, Alaska as early as mid-October.
Firefly has yet to offer a substantial statement after the successful launch, which means that the company has provided no information about its next steps or next launch. Per prior statements, the company is working to upgrade its Texas factory to enable up to six Alpha launches in 2023.
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Tesla crosses major Unsupervised Self-Driving milestone
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
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.
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Tesla Full Self-Driving will now overtake manual driving to avoid disaster
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.