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SpaceX installs Dragon spaceship on the rocket that’ll take it to space (again)
For the third time ever, SpaceX has installed a Crew Dragon spacecraft scheduled to launch astronauts on the Falcon 9 rocket that’ll carry it to orbit, sailing past one of the mission’s last major preflight milestones.
Known as Crew-2, the NASA Commercial Crew Program (CCP) mission will be SpaceX’s second operational crew ferry mission after its operational Crew-1 debut launched flawlessly on November 15th, 2020. Since November 16th, the Crew-1 Crew Dragon has been docked to the International Space Station (ISS) in Low Earth Orbit (LEO) – marking at least two major firsts – and won’t return to Earth until Crew-2 has safely joined it at the station.
Simultaneously developed as part of the Commercial Crew Program, a raft of technical and organizational shortcomings have extensively delayed Boeing’s Starliner crew capsule, effectively forcing NASA to lean on SpaceX to pick up the slack with multiple back-to-back Crew Dragon missions. Organizational excellence aside, Crew-2 is also on track to secure two of the most significant reusability achievements in SpaceX’s long history of significant reusability achievements.
Mere days after a SpaceX Falcon 9 rocket and Crew Dragon spacecraft lifted off with NASA astronauts aboard for the first time ever, becoming the first crewed launch in history to use a commercially-developed rocket or spacecraft, the space agency effectively gave the company permission to fly its astronauts on flight-proven versions of those same vehicles.
While those plans have effectively fallen under the radar relative to other SpaceX activities, it’s not unreasonable to say that a successful Crew-2 launch with both a flight-proven Falcon 9 booster and Crew Dragon capsule would be one of the most significant technical achievements in the company’s history. At the bare minimum, it will be the most symbolically significant achievement in SpaceX’s history.
In essence, success would mean that SpaceX has unequivocally proven that a private company can develop – from scratch – methods of rocket and spacecraft reusability that are so successful and so reliable that perhaps the most risk-averse customer on Earth is willing to place the lives of its astronauts in the hands of those flight-proven spacecraft and rockets. If SpaceX can accomplish that feat with Falcon 9 and Crew Dragon, there is no practical reason to doubt that it can be repeated with Starship – a vehicle that has already piqued NASA’s interest.
The Crew Dragon capsule assigned to Crew-2 debuted on May 30th, 2020 and carried NASA astronauts Bob Behnken and Doug Hurley to the ISS without any major issue, where it spent a little over two months in orbit. On August 2nd, the spacecraft safely reentered Earth’s atmosphere traveling around 7.5 kilometers per second (17,000 mph) and splashed down in the Gulf of Mexico with both astronauts none the worse for wear. Since then, SpaceX has disassembled the Dragon, carefully inspected every possible inch, and refurbished the vehicle for Crew-2.
Despite the historic nature of the task of qualifying and refurbishing the first commercial spacecraft in history that is expected to launch NASA astronauts twice, Crew Dragon C206’s turnaround will be the fastest in Dragon history – and by a margin of almost 40%.
After acing its role in SpaceX’s first operational astronaut launch five months ago, Falcon 9 booster B1061 will also be flying for the second time on Crew-2 – especially fitting given that the Crew-2 will meet the only other spacecraft and astronauts launched on the same booster at the ISS. As of Thursday, April 15th, Crew-2 is seven days away from a launch planned no earlier than 6:11 am EDT (10:11 UTC) on Thursday, April 22nd. The flight-proven Dragon and Falcon 9 booster and a new, expendable upper stage are expected to roll out to Pad 39A within the next few days for an integrated static fire test 4-5 days prior to launch.
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
