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SpaceX fires up rocket for second NASA spacecraft launch in two weeks
SpaceX says it has successfully static fired Falcon 9 ahead of the company’s second scientific NASA spacecraft launch in just two weeks.
On November 24th, SpaceX successfully launched the small Double Asteroid Redirection Test (DART) spacecraft, marking Falcon 9’s first direct interplanetary launch and the rocket’s first flight-proven mission for NASA’s Launch Service Program (LSP). Now, as early as 1am EST (06:00 UTC) on Thursday, December 9th, SpaceX is on track to launch an even tinier NASA spacecraft known as the Imaging X-ray Polarimetry Explorer or IXPE. A telescope designed to survey some of the most extreme environments in the known universe, IXPE was originally meant to launch on the small but expensive and oft-delayed Pegasus XL rocket and weighs about 325 kilograms (720 lb) as a result.
Instead, in mid-2019, SpaceX effectively stole NASA’s IXPE launch contract out from under Orbital ATK in the midst of chronic delays of a different Pegasus XL NASA mission, bidding just over $50 million to launch the smallsat on Falcon 9. Some two years behind schedule when it finally completed the mission, Pegasus XL ultimately launched NASA’s similarly small ICON spacecraft in October 2019 for the equivalent of ~$66 million in 2021
In other words, SpaceX is charging NASA less than Orbital ATK charged to launch ICON on a rocket capable of delivering 600 kg (~1300 lb) to low Earth orbit (LEO) to launch IXPE on a rocket capable of launching about 16,000 kg (~35,000 lb) to the same orbit. Even then, despite Falcon 9’s comparatively dirt-cheap pricing relative to the performance it offers, the IXPE launch should still be profitable for SpaceX. In the recent past, CEO Elon Musk and a few other executives have indicated that the cost to SpaceX to launch a flight-proven Falcon 9 is between $15 million and $28 million depending on how costs are measured.
That is to say that even at $50M, SpaceX has plenty of breathing room to drop launch costs even further if it ever runs into actual competitive pressure. Since the first booster recovery in December 2015 and the first booster reuse in March 2017, Falcon 9 is still the world’s only reusable orbital-class rocket. IXPE is the latest in a line of NASA missions to benefit from SpaceX’s unprecedented private expertise and the company has assigned Falcon 9 booster B1061 to launch the ~$140M spacecraft.
The booster has currently launched eight astronauts, three Dragons, and one large geostationary communications satellite in its four-launch, 13-month career and IXPE will be the booster’s fifth spaceflight and orbital-class launch since November 2020. It will also be the smallest dedicated payload a Falcon 9 rocket has ever launched by a large margin, making for a very empty payload fairing at liftoff.
On December 4th, SpaceX successfully performed a launch rehearsal, fully fueling Falcon 9 B1061 and a new upper stage and briefly firing up the booster’s nine Merlin 1D engines to verify that the vehicle is ready for flight. The company has since brought Falcon 9 horizontal and rolled it back into Kennedy Space Center (KSC) Pad 39A’s main hangar, where the rocket’s payload fairing – containing IXPE – will be attached to the rest of the stack. IXPE will be SpaceX’s 28th launch in 2021 (a new record) and is the second of four or five East Coast Falcon 9 launches planned this December.
Read more about the IXPE spacecraft and its mission to observe black holes, dead stars, and other bizarre phenomena here.
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
