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SpaceX gears up for busiest April yet
SpaceX says it’s finished encapsulating 40 spacecraft inside a Falcon 9 rocket’s payload fairing, paving the way for the company’s fourth Transporter rideshare mission early next month.
Scheduled to lift off no earlier than 12:24 pm EDT (16:24 UTC) on Friday, April 1st, Transporter-4 will be the first of as many as six Falcon 9 launches in April. In fact, SpaceX actually wants to launch all but one of those six missions in the first 19 days of the month – tying its existing cadence record if the company can pull it off.
SpaceX managed to complete a record five orbital Falcon 9 launches in ~18.5 days in December 2021. Including one additional mission in late November, SpaceX actually launched six times in 27 days. The company then nearly repeated that record the very next month, launching six times in 28 days in January and February 2022. SpaceX has yet to literally launch six times in the same month but it’s already more than demonstrated the ability to do so if the timing is right.
April might be that month. Following Transporter-4, SpaceX has two Crew Dragon missions – Axiom-1 with four private astronauts and Crew-4 with four government astronauts – scheduled to launch from Kennedy Space Center Pad 39A on April 6th and April 19th. In the middle, SpaceX intends to launch Starlink 4-14 – the month’s only planned Starlink mission – on April 14th. On April 15th, SpaceX is scheduled to launch the National Reconnaissance Office’s (NRO) NROL-85 spy satellite out of California’s Vandenberg Space Force Base. Finally, SpaceX could launch Egypt’s Nilesat 301 geostationary communications satellite on April 30th.
While it won’t break its internal cadence record, April should continue to demonstrate that five or six launches in one month are increasingly becoming the norm for SpaceX – not just some one-off feat requiring an extraordinary effort. That’s made even more clear by the fact that three of April’s launches will either be carrying humans or military spy satellites – both requiring the utmost care and explicit approval from two of SpaceX’s strictest customers.
Curiously, SpaceX has decided to recover Transporter-4’s Falcon 9 booster at sea despite a relatively small payload of just 40 satellites, likely meaning that the mission will require the rocket’s upper stage to perform at least three or four burns in orbit. One payload in particular – Germany’s EnMAP Earth observation satellite – both weighs far more than any other satellite aboard (~900 kg or ~2000 lb) and will likely take precedence, meaning that it will probably be delivered to a very specific orbit at the end of the mission’s deployment sequence.
Extra burns and longer coasts in orbit require significantly more propellant, which quickly cuts into the unforgiving margins needed for return-to-launch-site (RTLS) Falcon booster landings. In April, only NROL-85 will permit an RTLS landing, meaning that all five other launches will need to share SpaceX’s two East Coast drone ships – not impossible but far from easy. SpaceX’s record drone ship turnaround time is 13 days, while Starlink 4-14 will require a 13-day turnaround and Crew-4 a 14-day turnaround almost simultaneously.
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
