NASA says SpaceX has finished encapsulating its DART asteroid redirection spacecraft inside Falcon 9’s fairing and opened up its West Coast launch pad hangar to give VIPs and mission team members a tour of their rocket.
Measuring 70m (230ft) tall, 550 metric tons (1.2M lb) fully fueled, and capable of producing more than 775 tons (1.71M lbf) of thrust at liftoff, Falcon 9 remains on track to launch NASA’s Double Asteroid Redirection Test mission no earlier than 10:21 pm PST, Wednesday, November 23rd (06:21 UTC 24 Nov). While there are multiple conflicting reports of the spacecraft’s launch mass, it will likely weigh between 600 and 650 kg (1300-1450 lb) – a minuscule 0.1% of the rocket’s total mass at liftoff. In simpler terms, Falcon 9 launching DART is a bit like a semi-truck carrying a single piece of wood.
Nevertheless, just like that semi-truck scenario, it might not be the most efficient choice of vehicle but sometimes a one-size-fits-all rocket like Falcon 9 can make a lot of sense.
Notably, despite being outsized by at least a factor of 2-3, Falcon 9’s DART launch will ultimately cost NASA about $73M – about a quarter of the mission’s total ~$250M cost. Nominally headed to interplanetary space, there isn’t a smallsat launcher (i.e. Firefly Alpha, Relativity Terran-1, Virgin Orbit LauncherOne, ABL Space RS-1, etc.) currently in development that’s expected to be able to launch a ~600 kg payload onto the interplanetary trajectory Falcon 9 will send DART on. If there were, it might theoretically cost NASA just ~$20M to launch DART but it will also take years for any of the new small to midsize rockets that might have enough performance to establish a track record of reliability, meaning that NASA would have to accept significant risk for that potential discount.
It’s worth noting that based on several comments from executives indicating that a flight-proven Falcon 9 costs about $15-25M to launch, SpaceX could almost certainly charge NASA half as much to launch DART while still breaking even, with its routine reusability making the potential economic advantage of smaller rockets much murkier. Additionally, despite the potential to save another $30-50M, NASA is still likely saving at least $80-100 million by launching on a $73M Falcon 9 rocket rather than the United Launch Alliance’s (ULA) cheapest Atlas V offering, which NASA has paid around $150-175M for in recent years.
While SpaceX has technically launched two similarly tiny NASA payloads to very high orbits ~300,000 and ~900,000 km (150,000-600,000 mi) away from Earth in 2015 and 2018, as well as CEO Elon Musk’s Tesla Roadster on an Earth escape trajectory with Falcon Heavy, data from JPL recently confirmed that DART will be Falcon 9’s first truly interplanetary launch. After reaching a normal low Earth parking orbit, Falcon 9’s expendable upper stage will ultimately boost the small spacecraft free of Earth’s gravity, sending it into a heliocentric orbit that will eventually intersect with the binary Didymos-Dimorphos asteroid system.
As early as September 2022, DART will slam into asteroid moon Dimorphos while traveling a staggering 6.6 kilometers per second (4.1 mi/s) in an attempt to shift its orbit around the larger Didymos asteroid. In effect, NASA is using the asteroid system a bit like an isolated sandbox to (hopefully) exaggerate any effects. If successful, DART will prove that kinetic impactors offer a viable way to change the course of asteroids and comets, potentially paving the way for the creation of a true planetary defense program.
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
