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Blue Origin teases first New Glenn rocket prototype at Blue Moon lander event
In May 2019, Blue Origin unveiled plans to build and launch “Blue Moon” lunar landers. Five months later, founder Jeff Bezos has announced a proposal for NASA’s Artemis Moon lander program that would augment Blue Moon with hardware from aerospace stalwarts Lockheed Martin, Northrop Grumman, and Draper to land astronauts on the Moon in the 2020s.
On top of that, Bezos also revealed the first unequivocal confirmation that Blue Origin has begun building full-scale prototype hardware for its ambitious New Glenn orbital launch vehicle – in this case, half of a massive carbon fiber payload fairing.
In a press release posted to the company’s website, Blue Origin’s Chief Executive Officer, Bob Smith, stated that “national challenges call for a national response. We are humbled and inspired to lead this deeply committed team that will land NASA astronauts on the Moon.” The national team will be managed with Blue Origin as the principal contractor and “[combine] our partners’ heritage with our advance work on the Blue Moon lunar lander and its BE-7 engine.”
Solving the lunar landing equation
Each company was selected based on a demonstrated area of expertise that solves a very specific piece of the equation that is landing astronauts on the moon. Blue Origin will serve as the primary contractor leading mission engineering and assurance, as well as providing the lunar Descent Element, Blue Moon. Lockheed Martin will provide the reusable Ascent Element vehicle and lead the operations and flight training of the crew, while Northrop Grumman provides the Transfer Element vehicle to deliver Blue Moon to the lunar surface.
Draper’s contribution is integral to mission success. It will provide a navigation system “designed to give crewed missions precise location and navigation data needed for safe and accurate lunar and planetary landings” as outlined in a NASA Space Technology Mission Directorate statement earlier this month. The Draper navigation system is expected to debut during a launch of Blue Origin’s suborbital rocket, New Shepard as proof of concept by year’s end.
Debuting super-heavy rocket hardware
During his IAC presentation, Bezos revealed a video of what is almost certainly the first full-scale prototype hardware of Blue Origin’s reusable New Glenn rocket. In the clip, a massive carbon-composite payload fairing half is moved inside an even larger curing oven located on Blue Origin’s Cape Canaveral, FL campus, offering an incredibly rare glimpse inside the company’s purported New Glenn factory.
New Glenn’s payload fairing will measure 7m (23 ft) wide and roughly 22m (72 ft) tall, dwarfing the 5ish-meter options currently used by SpaceX and ULA. As of now, New Glenn’s payload fairing will be the largest expendable fairing on Earth when it debuts in 2021 or 2022.
Aside from a Blue Moon lander mockup, Blue Origin also brought an entire BE-4 engine to IAC 2019. Seven BE-4s will power New Glenn’s reusable first stage and the United Launch Alliance (ULA) has also selected BE-4 to power its Vulcan booster. Capable of producing roughly 550,000 lbf (2400 kN) of thrust, Blue Origin is slowly but surely qualifying BE-4 for flight and recently began its first full-thrust static fires at the company’s Van Horn, Texas test facilities.
While Bezos’s presentation provided the briefest of views inside Blue Origin’s rocket factory, Space Coast local Julia Bergeron posted a photo on Twitter showing an impressive fleet of cranes hard at work building Blue Origin’s LC-36 New Glenn launch pad in Cape Canaveral, Florida.
Blue Origin is notoriously hesitant to share much of anything about its next-generation New Glenn rocket, so it’s a pleasant surprise to receive even the briefest of glimpses behind the scenes. Combined with Blue’s undeniable rocket propulsion expertise and shrewdly political (albeit unsavory) approach to industry collaboration, the company is clearly here to stay and is certainly doing everything it can to give NASA an offer it simply can’t refuse.
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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
