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Rocket Lab Electron returns to flight as FAA approves launches from the US
Rocket Lab, the space systems company and small satellite launcher, returned to active launch status recently with the successful fourteenth launch of its Electron rocket. The “I Can’t Believe It’s Not Optical” mission marked Rocket Lab’s comeback after suffering an in-flight anomaly during Electron’s thirteenth flight on July 4, 2020.
Just nine weeks after the conclusion of the incident investigation, following its successful return to flight, Rocket Lab has announced that it has been granted a five-year Launch Operator License – permission to launch multiple missions a year – by the Federal Aviation Administration (FAA) for its new Launch Complex 2 in Virginia.

“I Can’t Believe It’s Not Optical,” Electron’s Return to Flight
The thirteenth flight of Electron “Pics or It Didn’t Happen” on July 4 began with a flawless launch from Launch Complex – 1A (LC-1A) in Mahia, New Zealand. During the flight of the second stage, there were indications that Electron had experienced a critical malfunction. Telemetry data confirmed that Electron had encountered an in-flight anomaly that ultimately resulted in the company’s first mission failure and loss of seven customer payloads.
The root cause of the anomaly was quickly tracked down to a single bad electrical connection on the second stage. Less than a month after the incident, Rocket Lab announced that it was able to reconstruct what occurred, make the necessary corrective measures, and ready to return Electron to flight.
Just a few short weeks later on August 24, Electron was on pad LC-1A in New Zealand for pre-flight testing ahead of its fourteenth – and return to flight – mission “I Can’t Believe It’s Not Optical.” The dedicated mission for San Francisco-based information services company, Capella Space, carried a single microsatellite called “Sequoia” to a circular orbit at approximately 500km.
According to a statement provided by Rocket Lab, Sequoia is the “first synthetic aperture radar (SAR) satellite to deliver publicly available data from a mid-inclination orbit over the U.S., Middle East, Korea, Japan, Europe, South East Asia, and Africa.” Sequoia is the first microsatellite in a constellation series that Capella Space says will “provide insights and data that can be used for security, agricultural and infrastructure monitoring, as well as disaster response and recovery.”

The success of “I Can’t Believe It’s Not Optical” marks the thirteenth successful mission and the deployment of Sequoia makes a total of 54 satellites delivered to orbit since Rocket Lab began operation in 2017. Rocket Lab founder and chief executive officer, Peter Beck, congratulated Capella Space on the successful deployment of its first microsatellite and celebrated the entire Rocket Lab team stating that “I’m also immensely proud of the team, their hard work, and dedication in returning Electron to the pad safely and quickly as we get back to frequent launches with an even more reliable launch vehicle for our small satellite customers.”
FAA certifies Electron launches from the US
In addition to LC-1A in New Zealand, Rocket Lab broke ground on a second launchpad located in the United States in late 2018. The launchpad was declared complete in December 2019.
Although operational, Launch Complex 2 located at the Mid-Atlantic Regional Spaceport within NASA’s Wallops Flight Facility on Wallops Island in Virginia still had a few milestones to achieve ahead of the first scheduled launch. In April 2020 an Electron rocket arrived at the pad for integrated systems tests. Two major hurdles left to clear ahead of launching an Electron from LC-2 was receiving a launch operator license from the Federal Aviation Administration (FAA) and receiving NASA certification of the Electron’s Autonomous Flight Termination System (AFTS).
On Tuesday, September 1, Rocket Lab announced that it had received a new 5-year Launch Operator License from the FAA. The license permits California-based launcher and space systems company to launch the Electron rocket from LC-2 multiple times a year without applying for a new license with every launch. This in addition to the Launch Complex 1 license means that Rocket Lab is now licensed to support up to 130 flights of Electron per year.
In addition, LC-1 is expected to expand and bring a second launchpad online, launch complex – 1B, sometime before the end of the year. Beck said, “Having FAA Launch Operator Licenses for missions from both Rocket Lab launch complexes enables us to provide rapid, responsive launch capability for small satellite operators. With 14 missions already launched from LC-1, Electron is well established as the reliable, flight-proven vehicle of choice for small sat missions spanning national security, science and exploration.”
Launch Complex 2 was specifically designed to support responsive missions for NASA and the United States government. The first mission from LC-2 is slated to lift the microsatellite STP-27RM for the United States Air Force as part of the Space Test Program. In 2021 Electron will send NASA’s CAPSTONE mission to a “Near Rectilinear Halo Orbit” (NRHO) around the Moon in support of NASA’s Artemis program.
Even more news…
On Thursday, September 3, Rocket Lab founder Peter Beck will host a webcast to provide an “exciting update” and discuss “the next chapter” of Rocket Lab. The webcast will go live at 2:00 pm ET (18:00UTC).
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.