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Boeing's astronaut capsule flies off course, fate uncertain after launch debut
Roughly 30 minutes after lifting off for the first time on a United Launch Alliance (ULA) Atlas V rocket, Boeing’s Starliner crew capsule suffered a major failure when it attempted to raise its orbit with onboard engines.
A few hours after the failure came to light, NASA and Boeing held a press conference to update members of the media on the situation, with the space agency offering some candid – if a bit odd – insight into Starliner’s anomalous launch debut. Before the spacecraft’s software threw a wrench into the gears, the plan was for Starliner to separate from ULA’s Atlas V Centaur upper stage and use its own thrusters to reach orbit and begin the trek up Earth’s gravity well to the International Space Station (ISS).
While it will likely take weeks or even months for Boeing and NASA to determine exactly what went wrong during the mission, preliminary information has already begun to paint a fairly detailed picture.
Around 15 minutes after liftoff, Starliner separated from the rocket as intended but it appears that things began to go awry almost immediately afterward. Most notably, according to NASA administrator Jim Bridenstine’s tweets and later comments, a very early look at the telemetry suggests that Starliner’s internal clock was somehow tricked into believing that the time was either earlier or later than it actually was.
Thinking that it was in the midst of a lengthy thruster firing meant to raise its orbit and send the spacecraft on its way to the space station, Starliner was thus focused on ensuring that it was pointed as accurately as possible. Although the space station is the size of a football field, in the vastness of space, rendezvousing with it is a bit like threading a needle. While firing thrusters to do so, spacecraft thus need to point themselves as accurately as possible.
While coasting before or after one of those orbit-boosting thruster firings, Starliner thought it was actually burning towards the space station and was thus very carefully controlling its orientation with a dozen or so smaller thrusters. In short, those unintentional thruster firings burned through a ton of Starliner’s limited propellant supply – enough to make it impossible (or nearly so) for the spacecraft to rendezvous and dock the ISS, a central purpose of this particular launch.
This ultimately means that Starliner is leaning heavily on the “test” aspect of this Orbital Flight Test (OFT), uncovering failure modes and bugs that Boeing was clearly unable to tease out with ground testing and simulation. While in a totally different ballpark, SpaceX similar Crew Dragon spacecraft suffered its own major failure earlier this year, although that capsule explosion occurred during intentional ground testing, whereas Starliner’s software failed during its high-profile launch debut and has severely curtailed the scope of the spacecraft’s first orbital flight test.
In fact, Bridenstine was unable to rule out the possibility that Boeing will have to attempt a second uncrewed orbital flight test (OFT) before Starliner will be qualified to launch the space agency’s astronauts. Although early signs suggest that Boeing will still be able to attempt to deorbit and recover the spacecraft a day or two from now, the fact that Starliner will not be able to perform critical demonstrations of its ISS rendezvous and docking capabilities will make it far harder for NASA to rationally certify the spacecraft for astronaut launches.
SpaceX’s Crew Dragon, for reference, completed a more or less flawless launch, orbit raise, and rendezvous before docking with the ISS. It’s almost impossible to imagine NASA giving SpaceX permission to proceed immediately into its first astronaut launch if Crew Dragon had failed to reach the proper orbit or dock with the space station.
Regardless, it’s far too early to tell whether Boeing will have to repeat Starliner’s OFT. If Starliner performs absolutely perfectly between now and its planned soft-landing in New Mexico, there might be a chance that NASA will still allow Boeing to effectively cut corners to its astronaut launch debut, but only time will tell.
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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
