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A 2021 SpaceX Odyssey: Dragon aces third astronaut launch, docks with space station
Early on Saturday morning, SpaceX Crew Dragon ‘Endeavour’ (capsule C206) – carrying four international astronauts – flawlessly docked with the International Space Station (ISS) for the second time in less than a year.
Capping off a smooth 24 hours of free-flight following an equally successful Falcon 9 launch on Friday, April 23rd, Dragon’s third crewed space station arrival was captured in spectacular fashion – thanks in part to the presence of a separate Crew Dragon vehicle already docked to the orbiting outpost. Recently swapped between the two ISS docking ports capable of supporting Dragons, Crew-1 NASA astronaut Mike Hopkins had – by far – the best view in the house of Crew-2’s space station rendezvous while looking out the window of the other Crew Dragon on orbit.
Former NASA flight director and Space Shuttle program manager Wayne Hale put it best, stating that SpaceX “[made] it look easy” with a “perfectly successful [Crew-2] launch and docking” – the company’s third astronaut launch and space station rendezvous since May 2020.
After a mere three days of delays – one for weather – from an April 20th (4/20) target set almost three months earlier, Crew Dragon lifted off on SpaceX and NASA’s Crew-2 mission shortly before dawn on April 23rd. As the rocket rapidly carried Dragon and its passengers from sea level to dozens of kilometers above the Earth’s surface, it sailed into sunlight, producing a spectacle that stretched across a vast swath of the pre-dawn sky as the sun lit up Falcon 9’s second stage exhaust plume.
The four astronauts aboard the flight-proven Dragon were equally amazed as the inky black vacuum outside their spacecraft’s windows turned to blinding, unfiltered sunlight. One spectacle and a flawless trip into orbit on Falcon 9 behind them, French European Space Agency (ESA) astronaut Thomas Pesquet caught a glimpse of the rocket’s expended second stage effectively flying in formation a few miles below Crew Dragon.
After almost exactly 24 hours on its own and five major Draco thruster orbit-raising and trajectory-matching burns, as well as an unwelcome collision avoidance warning that ultimately turned out to be a false alarm, Crew Dragon capsule C206 completed its second space station docking without delay around 5am on April 24th. Pesquet has published several dozen excellent photos of the flight and docking, offering the best look yet at what life aboard a free-flying Dragon is really like for the four astronauts packed into a volume – as he himself notes – roughly equivalent to a large car’s cabin.
With its successful arrival, SpaceX – for the first time ever – had two separate Crew Dragon spacecraft docked to ISS simultaneously, marking the first of at least two more Dragon ‘hand-off’ milestones to come. Though NASA nominally planned to have Commercial Crew providers SpaceX and Boeing essentially take turns on operational astronaut ferry missions, the latter company’s Starliner spacecraft is more than a year and a half behind schedule and is unlikely to perform its first crewed demonstration flight before Q1 2022.
In other words, SpaceX has been forced to mature its Crew Dragon program much faster than expected to complete at least four back-to-back astronaut launches in ~17 months, while NASA is effectively dependent on the company to ensure the ISS remains fully crewed from May 2020 to sometime in 2022.
Following Crew-2’s smooth arrival, Crew-1’s Crew Dragon and its four-astronaut crew will return to Earth as early as April 28th. Sometime in October or November 2021, SpaceX will repeat that hand-off process once again when it launches Crew-3 and recovers Crew-2. There is a distant chance Boeing will have completed two successful test flights and be ready for Starliner’s operational astronaut launch debut in early 2022, but it’s arguably much more likely that SpaceX will also perform a third hand-off between Crew-3 and Crew-4 sometime in Q2 2022 before finally handing over the reins to Starliner.
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
