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SpaceX high-altitude Starship debut go for a second launch attempt
Update (Dec 9th): All signs point to a second attempt at SpaceX’s high-altitude Starship launch debut sometime near the end of today’s window, likely no earlier than 3:30-4 pm CST (UTC-6).
Amazingly, the actual pilot of the NASA WB-57 reconnaissance aircraft tasked with capturing aerial photos and videos of Starship SN8’s first flight is on Twitter and confirmed that the aircraft had been just a few minutes from takeoff before SpaceX chose to delay the launch for a few more hours. Thankfully, as of 2 pm CST, ground equipment activity at the pad is rapidly picking up – a good sign that SN8 launch preparations are well underway.
Stay tuned for SpaceX’s official Starship SN8 launch livestream around five minutes before liftoff and tune into NASASpaceflight.com’s excellent coverage below to keep up to date on launch proceedings.
Update: Starship serial number 8 (SN8) aborted its high-altitude launch debut at the last second, ending today’s attempt for SpaceX.
Depending on why one or several of the steel rocket’s three advanced Raptor engines aborted their ignition, SpaceX has backup launch windows and airspace closures from 8am to 5pm CST (UTC-6) on December 9th and 10th. Stay tuned for updates on the cause of the abort and whether Starship SN8 can be prepared for another attempt less than a day from now.
In a last-minute surprise, SpaceX appears to have secured NASA support for Starship SN8’s first flight in the form of a space agency reconnaissance jet often used to capture aerial photos and videos of spaceflight events.
Primarily intended to capture those views for developmental, data-gathering purposes, NASA WB-57 jets have recently been used to milestones like SpaceX’s explosive Crew Dragon In-Flight Abort test and Demo-2 astronaut launch/reentry debut. Likely made possible by a $135 million Starship Moon lander development contract awarded by NASA in April, the space agency has positioned itself to benefit from SpaceX’s success and leverage the company’s extensive internal investments.
Aside from exemplifying NASA’s new and promising relationship with SpaceX’s Starship development program, the use of space agency surveillance assets also serves as a convenient barometer to judge Starship SN8’s launch timing with.
As of publishing (1:30 pm EST, UTC-5), NASA’s WB-57 jet is scheduled to take off from Houston’s Ellington Airport at 2:12 pm CST, arriving ‘on station’ in the vicinity of SpaceX’s Boca Chica, Texas launch pad around 3:10 pm. With NASA assets now in play, Starship SN8 is unlikely to lift off before the jet is in place, meaning that the rocket’s 12.5 km (~7.8 mi) launch debut is now scheduled sometime between ~3:15 pm and 5 pm CST (UTC-6).
SpaceX CEO Elon Musk recently reiterated his prediction that Starship SN8 has a ~33% chance of successfully launching, reaching an apogee of ~12.5 km, free-falling belly-first most of the way back to earth, performing a radical flip maneuver, and landing intact. With Starship SN9 – effectively a refined clone of SN8 – practically complete and ready to roll to the launch pad, SpaceX’s hardware-rich development program means that almost any SN8 outcome at all will produce valuable data.
For a program like Starship, the success of any early prototype is better judged on the quantity and quality of data gathered and lessons learned than on the survival of hardware. Even so, SpaceX is clearly working to give Starship SN8 the best possible shot at survival and a successful landing would be a truly spectacular outcome. Stay tuned for updates as we track towards SN8’s first flight!
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
