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SpaceX launches NASA mission to study black holes, dead stars, and more
SpaceX has successfully launched NASA’s Imaging X-ray Polarimetry Explorer telescope, paving the way for a unique aspect of black holes, a variety of dead stars, and other odd phenomena to be explored in unprecedented breadth and detail.
Marking the first time a NASA payload has launched on the fifth flight of a reused SpaceX rocket, Falcon 9 booster B1061 lifted off at 1am EST (06:00 UTC) to kick off the 330 kg (~730 lb) IXPE spacecraft’s journey to orbit. SpaceX’s workhorse rocket performed flawlessly. Just over eight minutes after liftoff, Falcon 9’s upper stage completed the first of two planned burns, entering a low parking orbit. About thirty seconds later, Falcon 9 B1061 stuck its fifth drone ship landing in 13 months, marking the end of another successful high-profile launch for the booster and ensuring that it will be able to complete many more such launches over the next few years.
The first portion of the launch completed, Falcon 9’s upper stage then coasted in orbit for about 20 minutes before ignited for one last (very expensive) burn to place IXPE in its desired orbit. Known as a plane or inclination change, the maneuver – especially when performed deep in a large gravitational well – is exceptionally expensive, requiring an unintuitively large amount of launch vehicle performance (known as delta-V). The reason: IXPE’s nominal orbit is almost exactly equatorial, which Falcon 9’s Cape Canaveral launch site is about 28.5 degrees north of.
Lowering that inclination after launch requires a very energetic maneuver. Before Falcon 9 beat it out for the launch contract, IXPE was expected to launch on Orbital ATK’s air-launched Pegasus XL rocket, which would have allowed IXPE to be launched at the equator. However, SpaceX ultimately submitted a bid to launch IXPE for just ~$50M – cheaper than its competitor despite the fact that Falcon 9 is more than 20 times larger and could potentially launch an entire Pegasus XL into orbit. However, while Falcon 9 is designed to launch almost 23 tons into orbit in an expendable configuration and more than 16 tons with booster and fairing recovery, it’s only capable of launching about 1-2 tons to IXPE’s desired combination of an equatorial inclination and a ~600 km (~370 mi) orbit.
Ultimately, Falcon 9 completed the inclination change without issue, marking the successful completion of its first equatorial launch ever and SpaceX’s 28th successful launch in 2021 alone. Unlike a significant majority of spacecraft, IXPE was launched directly into its operational orbit and will likely need just a few days to refine its position and a few weeks after that for ground controllers to verify the health of all its systems and deploy a 4m (`13 ft) long ‘boom’ needed to operate its unique telescope.
If or when everything is up and running, IXPE will spend a minimum of two years observing at least 50 of the weirdest objects and phenomena in the universe. While many of those objects can’t be directly imaged, IXPE’s goal is to analyze the polarization of X-rays – high-energy beams of radiation – they produce at sensitivities two orders of magnitude greater than any previous experiment. In theory, that should allow IXPE to put long-held laws of relativity and quantum physics to the test in some of the most extreme environments in the universe, including particularly exotic nebulae (giant gas clouds), black holes, and bizarre neutron stars (including lighthouse-like pulsars and magnetars – dead stars with magnetic fields strong enough to compress atoms into cylindrical rods and make the actual vacuum of space refract light like a crystal).
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
