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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.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
