SpaceX has successfully static fired a Falcon 9 rocket scheduled to launch another batch of NASA and ESA astronauts after the crew “completed a full rehearsal of launch day activities.”
However, poor weather and strict operational limits have prevented a separate group of private astronauts known as Axiom-1 from boarding a different Crew Dragon and returning to Earth as planned, delaying Crew-4 from April 23rd to no earlier than (NET) April 26th.
In a twist of fate that can be partially blamed on SpaceX, the ISS only has two docking ports (parking spots) capable of receiving Crew Dragon. NASA technically contracted Boeing to build three such ports but the first was destroyed when Falcon 9 failed catastrophically while attempting to launch Cargo Dragon’s CRS-7 space station resupply mission in June 2015. For unknown reasons, close to seven years later, NASA still hasn’t so much as attempted to build or launch a replacement docking adapter. As a result, most NASA cargo or crew missions have become more sensitive to the delays of other spacecraft and missions as NASA and its providers attempt to juggle a packed manifest with just two parking spots.
The lack of a third docking port and constraints on the use of one of the two remaining ports has forced NASA to repeatedly undock and redock Crew Dragons to set the stage for new arrivals and also limits the number of launch opportunities available to certain crew and cargo missions. Now, following the start of a series of Axiom Space Crew Dragon missions carrying private astronauts to the space station, NASA has yet another class of visiting vehicle to plan around.
Somewhat unsurprisingly, the close proximity of Axiom-1 and Crew-4, the presence of just two docking ports, and Crew Dragon’s fairly strict operational limits have combined to create added pressure and cause a mess of delays. Following Axiom-1’s April 8th launch, the Ax-1 Crew Dragon joined Crew-3’s Crew Dragon at the International Space Station (ISS).
To ensure a continuous US/European presence aboard the station amid Russian threats against the outpost it co-operates with NASA and other international partners, Crew-3 can’t (or shouldn’t) leave until Crew-4 arrives. Crew-4 thus can’t launch until Axiom-1 departs and frees up a docking port. Originally planned to spend around 10 days in space after their April 8th launch, the Axiom-1 crew is still aboard the ISS 12 days later after concerns about safe recovery weather have repeatedly delayed their departure. Only late on April 20th did NASA, SpaceX, and Axiom settle on a new undocking date for Ax-1, slipping from the latest target of April 20th to no earlier than 8:35 pm EDT (00:35 UTC) on April 23rd with a splashdown now on April 24th. As a result, Crew-4 has been delayed to April 26th – 11 days after the original April 15th target.
It’s unclear what particular weather concerns caused such a delay; if this is a “perfect storm” event and just a matter of bad luck; or if this situation was made worse (or possible) by apparent Crew Dragon recovery restrictions that require extremely calm seas. Regardless, it’s hard to imagine that NASA and SpaceX will attempt another private space station mission so close to an operational Crew launch after the challenges and close to two weeks of delays Axiom-1 has caused Crew-4.
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
