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DeepSpace: Rocket Lab bucks the saying that ‘space is hard’ with 4th Electron success

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Rocket Lab's Electron rocket lifts off for the fifth time, March 29th. (Rocket Lab)

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Rocket Lab continues to buck the adage that “space is hard” with its small but increasingly reliable Electron rocket. After a slight range hardware malfunction caused a launch abort just shy of orbit during Electron’s inaugural May 2017 launch attempt, Rocket Lab fixed the issue and returned to flight, successfully completing Electron’s first orbital launch in January 2018. On November 11th, 2018, the rocket completed its first truly commercial launch, placing seven various satellite into Low Earth Orbit (LEO), rapidly followed by Electron’s fourth successful launch on December 16th, barely one month later.

On March 29th, Rocket Lab completed yet another milestone launch for Electron, successfully placing its heaviest payload – an experimental ~150 kg DARPA spacecraft known as R3D2 – into an accurate orbit. Even relative to SpaceX’s barebones Falcon 1 launch campaign, which attempted five launches – two successfully – over a three year career, Rocket Lab’s Electron has progressed at an extraordinary pace, taking less than two years to complete its fifth launch and achieving its first launch success after just one attempt and eight months of flight operations.

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Relentless progress

  • To find a rocket with a comparable record of success less than two years after its first launch attempt, one must jump back more than half a century to the late 1950s and early 1960s, when Russia and the US were putting their industrial mights to the challenge of achieving spacefaring ‘firsts’. Almost all of those original vehicles – including Redstone, Atlas, Delta, Thor, Titan, and even Saturn V – were able to weather early failures and achieve extraordinary launch cadences just 12-24 months after their debuts.
    • None, however, were developed as an entirely commercial rocket with almost exclusively private funds, although ESA’s Ariane 3 and 4 vehicles nearly fit the bill, with exemplary commercial track records and impressive acceleration from debut to high launch cadences.
  • Incredibly, Rocket Lab has brought Electron from paper to its fourth successful launch in ~16 months on what can only be described as a shoestring budget relative to all past efforts, perhaps even Elon Musk and SpaceX.
    • According to public investment records, the small US-based, New Zealand-operated company may have reached orbit for the first time with less than $100M, including ~$70M in equity investment and unspecified development funding from DARPA in the early 2010s.
  • Rocket Lab’s Electron rocket is quite small, measuring 1.2 m (~4 ft) wide, 17 m (56 ft) tall, and 12,500 kg (27,600 lb) at liftoff, anywhere from a quarter to half the size of SpaceX’s Falcon 1, by most measures.
    • Electron is capable of placing 150–225 kg (330–495 lb) into either a 550 km (340 mi) sun synchronous orbit (SSO) or a lower low Earth orbit (LEO).
    • Electron is advertised with a commercial list price of around $6M.
  • Aside from Electron’s industry-defying record of achievement, its R3D2 launch is impressive for another reason: the cost of the payload relative to the cost of launch. For a rocket on its fifth-ever launch, DARPA reportedly spent no less than $25M to fund the development of the experimental R3D2 smallsat, while – as mentioned above – the cost of Electron’s launch could have been as low as ~$6M from ink to orbit.
    • In slightly different terms, Electron has now launched a payload that could be 4-5X more valuable than itself after just three prior launch successes and less than two years after beginning operations.
    • While ~$30M would not be a huge loss for a military agency like DARPA (FY19 budget: $3.4B), DARPA’s trust in Electron demonstrates impressive confidence in not just Electron, but also Rocket Lab’s standards of manufacturing, operations, and mission assurance.
  • Relative to a vehicle like Falcon 9 or Atlas V, Electron’s R3D2 mission would be comparable to launching spacecraft worth ~$250M to $500M after just five launches. Both larger rockets accomplished similar feats, but small launch vehicles are historically known for less than stellar reliability.
Rocket Lab’s New Zealand-based Electron factory, 2018. (Rocket Lab)

Go[ing] forth and conquer[ing]

  • Put simply, Rocket Lab has managed to build what appears to be a shockingly reliable small launch vehicle with a budget that would make Old Space companies whimper, all while offering a potential cadence of dozens of annual launches at per-launch costs as low as $6M.
    • While the cost-per-kg of a $6M Electron launch is still extremely high relative to larger rockets and rideshare opportunities, what Rocket Lab has achieved is nothing short of spectacular in the commercial spaceflight industry.
    • If there ever was an actual ‘space race’ to fill the small launch vehicle void created by the growth of small satellite launch demand, Rocket Lab has won that race beyond the shadow of a doubt. There is still plenty of room for competition and additional cost savings from a customer perspective, but Electron is so early to the party that future competition will remain almost entirely irrelevant for the better part of 2-3 more years.
  • According to CEO Peter Beck, the company’s ambition is to sustain monthly Electron launches in the nine remaining months of 2019. Flight 6 hardware is likely already on its way to Rocket Lab’s Mahia, New Zealand Launch Complex 1 (LC-1).

Mission Updates

  • The second launch of Falcon Heavy – the rocket’s commercial debut – is still scheduled to occur as early as April 7th, but a slip to April 9-10 is now expected. The massive rocket’s static fire – the first for a Block 5 Falcon Heavy – is set to occur as early as Wednesday, April 3rd.
  • After Falcon Heavy, Cargo Dragon’s CRS-17 resupply mission is firmly scheduled for April (April 25th), while the first dedicated Starlink launch is now NET May 2019.
  • In late May, SpaceX could launch Spacecom’s Amos-17 spacecraft, effectively free to the customer as part of a settlement following the tragic Amos-6 Falcon 9 anomaly that destroy the rocket, satellite, and large swaths of the LC-40 pad in September 2016.

Photo of the Week

NASASpaceflight forum contributor BocaChicaGal provided one of the best glimpses yet of SpaceX’s ongoing Starship prototype test campaign, thus far involving 5+ wet dress rehearsals (WDRs) and one or two Raptor preburner ignitions. The first integrated Raptor static fire (and potential hop test) could occur later this week.
(NASASpaceflight – bocachicagal)

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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tesla interior operating on full self driving
Credit: TESLARATI

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.

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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.

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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.

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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.

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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.

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Credit: Elon Musk | X

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.

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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.

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.

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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).

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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.

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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.

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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.

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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.

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tesla diner
Credit: Tesla

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.

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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.

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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.

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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.

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