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SpaceX Crew Dragon astronauts are chasing the space station around Earth
The morning of SpaceX’s most prolific launch – the Crew Dragon Demo-2 mission – began with one question on the mind of many, why did the Falcon 9 rocket have just one second, and one second only, to launch NASA astronauts Bob Behnken and Doug Hurley to the International Space Station (ISS)? A simplified answer is orbital mechanics and a carefully planned out 19 hour trip around the planet.
Richard Angle for Teslarati)
The launch of the Falcon 9 was a highly anticipated moment, however, it was easily the most familiar part of the Demo-2 mission. Leading up to Demo-2, SpaceX had successfully launched twenty-eight Block 5 Falcon 9 boosters – the same type of booster that the Crew Dragon carrying Behnken and Hurley would launch on. The landing of the Falcon 9 on the autonomous spaceport drone ship in the middle of the Atlantic Ocean was also a familiar process that SpaceX had completed successfully a number of times.
Even the Crew Dragon capsule had a launch and mission to the space station under its belt, however, launching astronauts aboard the capsule had yet to be attempted, let alone done successfully. The least familiar part of the mission was what Crew Dragon and its occupants had to achieve once free of the Earth’s gravity well.
Once past launch and separation from the Falcon 9 first stage booster, Crew Dragon would separate from the Falcon 9 second stage, enter an initial orbit, and proceed to spend the next nineteen hours chasing the ISS around the planet. The capsule had to perform a series of burns to lift its orbit high enough to match that of the ISS for autonomous docking nineteen hours later. During the trip, Behnken and Hurley had a series of items to check off prior to initiating their crew sleep aboard Crew Dragon. A few of the items included doffing – or taking off – their SpaceX pressure suits, hosting a brief media opportunity explaining the name “Endeavour” chosen for their capsule as well as the zero-G indicator named “Tremor” chosen to ride along with them and eat their first meal in space.
The Crew Dragon also had a few jobs of its own to complete. Crew and capsule would spend about two hours performing 3 different burns of the sixteen Draco thrusters outfitted all around the Crew Dragon’s outer shell. The first phasing burn was needed to insert it into the correct orbit, followed a little while later by a boost burn to raise the capsule’s orbit even more. And lastly, a close coelliptic burn to flatten out the orbit around the Earth making it more elliptical, rather than circular matching that of the ISS. These three burns were completed while the crew was awake performing any necessary tasks. Two more burns remained to be completed, but those would need to occur much closure to docking with the ISS, one while the crew slept and one just before autonomous docking procedures were set to begin.
The fourth burn – a transfer burn – is intended to raise the capsule the final ten meters in orbital space to match that of the ISS. This burn will allow the capsule to begin its final approach toward the station. It will be completed by the SpaceX mission control ground station in Hawthorne, California while the crew sleeps. It will be a gentle burn of the Dracos lasting less than a minute.
The capsule will then burn the Draco thrusters once more for the final coelliptic burn matching its orbit directly with the ISS. At this time, the crew aboard both the Crew Dragon capsule and space station will be awake for a full day of work including the meticulous process of autonomously docking the capsule to the ISS, the opening of the hatch of Crew Dragon, and welcoming Behnken and Hurley aboard the station as members of the Expedition 63 crew.
Crew Dragon is expected to meet up with the ISS nineteen hours after liftoff. Docking with the station is set to occur on Sunday, May 31st around 10:30 am EDT/14:30 UTC. Behnken and Hurley will be welcomed aboard the station during a traditional crew welcoming ceremony that should occur about two hours after docking has been confirmed.
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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
