News
NASA’s Artemis Moon mission hits important milestone with successful full-scale booster test
NASA’s upcoming Artemis mission to the Moon hit an important milestone today by successfully ground testing a full-scale version of its newest rocket booster.
Building on the completion of other similar tests of the booster – named Flight Support Booster 1 (FSB-1) – which qualified it for flight as part of the agency’s upcoming Space Launch System (SLS), this most recent test used new propellant materials and verified that the ballistic requirements of its five motors were met. In a follow up teleconference, NASA and its partners confirmed the test accomplished its goals.
https://twitter.com/JimBridenstine/status/1301260812342890496
“NASA and Northrop Grumman have completed testing for the boosters used for the first three Artemis missions of the agency’s lunar program,” the digital press kit detailed. “FSB-1 builds upon prior tests of the rocket’s five-segment solid rocket booster to evaluate improvements and new materials in the boosters for missions beyond Artemis III.”
FSB-1 and its variants are primarily built by NASA partner Northrop Grumman whose facility in Promontory, Utah is where today’s test took place. The recent test firing burned for about two minutes and produced 3.6 million pounds of thrust. Its success is a nod to NASA’s claim that these are the largest, most powerful rocket boosters ever built for flight. Measuring 167 feet long and 12 feet in diameter, FSB-1-type boosters will fly in pairs along with the main SLS rocket body and cargo.
NASA’s Artemis mission is dubbed as the “twin sister of Apollo” and is aiming to return humans to the Moon by 2024. The agency has set out to develop a whole suite of technologies to support both a sustainable lunar-oriented mission and a subsequent Mars mission, engaging the commercial space community along the way. While the launch components of Artemis involve the traditional NASA path of using long-time contractors, other parts of the mission have been opened to other bidders whose contract winners have included SpaceX.
As an add-on to its success in launching the first astronauts to the ISS from American soil since the Space Shuttle’s retirement in 2011, SpaceX has also made headway in NASA’s competitive Moon race. The private space company has already procured four contracts to develop and lunar launch and landing capabilities for the agency, one as recently as the end of August. SpaceX also has multiple Moon-oriented launch contracts independent of NASA.
NASA’s SLS rocket seen in its Block 1 configuration with on Orion capsule on top. (NASA)
One of the SLS’s primary competitors will be SpaceX’s Falcon Heavy and Starship rockets. The company has already begun testing prototypes of its rocket-lander combination along with setting world records with its new Raptor engine. While SpaceX’s primary mission is to ferry humans to Mars for lifelong stays, the Moon is already providing paying customers for the venture.
Last year, CEO Elon Musk announced a private charter agreement between eccentric Japanese billionaire Yusaku Maezawa and the rocket maker for a lunar trip in 2023. SpaceX’s earliest NASA-backed trip to the Moon is set for 2022 while the agency’s own Artemis mission has 2024 on its calendar for launch.
You can watch NASA’s full Artemis mission booster test below:
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
