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

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

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.”
News
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.



