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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.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
