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SpaceX’s Falcon 9 wins launch of an asteroid-attacking NASA spacecraft
Just minutes before SpaceX began fueling Falcon Heavy for its commercial launch debut, NASA announced that the company had won a contract for its Double Asteroid Redirection Test (DART) mission, to be launched by Falcon 9 for the low cost of $69M.
Designed to cost less than $250M total, the DART mission will aim to be as light and fast as possible, using a dedicated Falcon 9 to send the ~600 kg (~1300 lb) spacecraft and its Italian companion cubesat on an ~11 million kilometer (~7M mi) journey to the binary asteroid Didymos. The ultimate purpose of DART is to effectively prove out both technologies and physics that could be used in the future to defend Earth from asteroids known to be on a collision course.
If all goes as planned during DART’s imminent design review milestones and hardware integration, Falcon 9 could launch the spacecraft towards the Didymos asteroid system in June 2021 for an October 2022 arrival. That “arrival” would involve DART impacting Didymos-B – the smaller of the pair at 163 m (535 ft) across – at a relative velocity of more than 6 km/s (3.7 mi/s). Nicknamed Didymoon, Didymos-B effectively orbits Didymos-A. At that speed, the ~600 kg probe will create an impact with the equivalent explosive force of nearly two and a half tons of TNT, the purpose of which is to determine just how much the sheer kinetic energy of impact can modify a small body’s orbit around the main asteroid.
Estimates from the spacecraft’s mission managers expect Didymoon’s orbit to be shifted by about 1% as measured by the time it takes to orbit Didymos-A, from ~11.9 hours to ~11.8 to 12.0 hours. This is a very small change but one that should – in theory – be easily measurable by telescopes on Earth, despite the fact that Didymoon has been estimated to have a mass of approximately 3.5 million metric tons (7.6 billion pounds), approximately seven million times heavier than DART. In short, NASA is going to functionally bomb an asteroid moon to see if humans might be able to use kinetic impactors to gently ‘boop’ threatening space objects off of the offending trajectory years or even decades in advance.
Despite the inherently destructive, single-use nature that DART’s impactor status bestows, current plans thankfully include an Italian cubesat known as LICIACube. The small copassenger will deploy two days before impact to fully exploit the scientific value of DART’s demise with high-quality photos of the event and aftermath. LICIACube will be traveling the same speed and thus won’t be able to enter orbit around the asteroid system, but a European Space Agency (ESA) mission known as Hera plans to do just that in the mid-2020s to better characterize Didymos and the crater (hopefully) made by DART.
Aside from the mission itself, DART serves as a technology demonstration platform for NASA. It will mark the first in-space use of the NASA-built NEXT-C ion thruster and
Getting to orbit
For NASA’s SpaceX launch contract, the agency will pay just $69M, barely 10% above Falcon 9’s bare-minimum list price of $62M. It’s safe to assume that the timing of the contract award – days after SpaceX abruptly dropped an official protest of ULA winning a ~$150M NASA contract – might not be
Weighing just ~600 kg (~1300 lb) wet, DART could end up launching with additional copassengers on Falcon 9, although there is a precedent set by NASA’s ~360 kg TESS and Taiwan’s
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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
