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SpaceX competitor Blue Origin targets first Moon landing for 2023
Prospective SpaceX competitor and reusable rocket developer Blue Origin detailed its plans earlier this month to enable significant human presence on the Moon and announced a tentative schedule that could see the company begin experimental lunar landing tests of a multi-ton spacecraft just a few years from today – NET 2023.
Funded entirely with stock sales courtesy of founder Jeff Bezos’ lucrative position at the helm of Amazon (not to mention his status as the wealthiest human alive), Blue Origin receives roughly $1 billion annually to develop its space tourism-oriented New Shepard rocket and capsule (suborbital), the magnitudes-larger orbital New Glenn launch vehicle, and a number of other longer-term projects like human colonies in Earth orbit (including the Moon).
In answer to my question, @ac_charania said would evolve to reusable Blue Moon lander. Also under consideration is reusable New Glenn upper stage & faring. https://t.co/Dg3UTN9HU5
— Charles A. Lurio (@TheLurioReport) July 4, 2018
Think SpaceX in terms of ambition (and, perhaps, quality of workforce) but with essentially no existential motivation to field products quickly – framed a bit less flatteringly, Blue Origin moves very slowly when compared with SpaceX. The company was born a full two years before SpaceX and has been working on reusable rockets for at least as long, yet has less than ten launches of a genuinely reusable rocket to claim its own. That rocket, New Shepard, is a purely suborbital, single-stage vehicle intended to enable zero-gee tourism, and is downright minuscule when examined alongside Falcon 9 and Heavy.
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- Blue Origin’s BE-4 engine, the propulsion for New Glenn, seen conducting hot-fire tests in Texas. The engine’s nozzles is a full 6 feet (~1.8m) in diameter. (Blue Origin)
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- New Shepard ahead of Blue Origin’s most recent suborbital launch, the eighth completed so far. April 2018. (Blue Origin)
New Glenn, however, would truly catapult Blue Origin into a competitive position in the orbital launch business, placing them alongside companies like SpaceX, ULA, and Arianespace. Further, Blue appears to believe that it can design and produce New Glenn boosters capable of as many as 25 flights from the get-go, versus the three years SpaceX spent iteratively design and upgrading its Falcon 9 before arriving at a booster potentially capable of 10-100 reuses. New Glenn’s inaugural launch is currently scheduled for late 2020, and the impressive BE-4 methalox rocket engine powering its first stage is well into serious hot-fire testing, while the engine that will power New Glenn’s upper stage is already successfully flying (albeit as a sea-level variant) on New Shepard.
In a glance, Blue Origin undoubtedly has a lot going for it, although its confidence quite plainly outstrips its the achievements it can actually lay claim to at present. Nevertheless, the company’s Blue Moon project is clearly serious and will build heavily on the (hoped for) successes of New Shepard and New Glenn, integrating the hands-on experience and technologies developed over the course of building and launching both rockets. Presumably depending on New Glenn as the launch vehicle, Blue Origin stated on July 3 that its lunar lander – designed to deliver multiple tons of cargo to the Moon’s surface – could begin experimental Moon missions by 2023 and potentially even sooner if work proceeds exceptionally smoothly.
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- Blue Origin’s New Glenn rocket. (Blue Origin)
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- SpaceX’s BFR. (Gravitation Innovation/David Romax)
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- Credit: NASA-MSFC
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- Arianespace’s next-generation Ariane 6. (Arianespace)
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- ULA’s upcoming Vulcan rocket. (ULA)
Whether or not Blue Origin manages to make that extraordinarily aggressive scheduled and jumps from suborbital missions to giant orbital reusable rocket launches to multi-ton Moon landings in barely five years, the 2020s are lining up to be an extraordinarily exciting time for spaceflight. With any luck, a veritable fleet of next-generation rockets from Blue Origin, SpaceX, Arianespace, ULA, NASA, Japan, and five or more smaller commercial companies will complete their first launches over the next three years.
Meanwhile, heavyweights SpaceX and Blue Origin may find themselves in a whole different arena, racing to land payloads on the Moon (or perhaps on the Moon and Mars).
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
