News
SpaceX director says six Crew Dragon launches per year is a sustainable goal
A senior manager says that SpaceX could sustainably launch six or more Crew Dragons per year if the market for private missions grows large enough to demand it.
Benji Reed, Senior Director of Human Spaceflight Programs, offered his thoughts on the matter in a press conference following SpaceX’s successfully recovery of Crew Dragon and four private Axiom-1 astronauts from the Gulf of Mexico, marking the end of the first all-private mission to the International Space Station (ISS). Asked what kind of launch cadence SpaceX believes it could handle going forward, Reed stated that he “would love to see…half a dozen crew flights…or more” per year and believes that “SpaceX can sustain that [pace] if there’s a market for it.”
The question is an important one after a SpaceX executive confirmed to Reuters earlier this year that the company has already ended production of Crew Dragon after building just a handful of reusable capsules. With that fleet of four spacecraft, it hasn’t been clear how many crewed missions SpaceX can – or thinks it can – launch each year. To some extent, it’s long been expected that SpaceX would try to replace both Falcon rockets and Dragon spacecraft with Starship as soon as the next-generation fully-reusable rocket is ready.
However, without major redesigns or a new and heavily modified variant of the rocket’s upper stage, it’s difficult to imagine NASA transitioning its International Space Station astronaut launches from Dragon to Starship anytime soon. Even though Starship could feasibly revolutionize spaceflight and NASA has already contracted with SpaceX to build a version of the rocket to land NASA astronauts on the Moon, the one thing it’s hard to imagine the space agency ever compromising on is safety. Crew Dragon has a built-in launch escape system that allows the capsule to almost instantly whisk astronauts away from a failing rocket at any point before or during a launch.
Starship has no such escape system and SpaceX has no apparent plans to develop a variant of the crew-carrying ship with a comparable abort system. Because the Starship rocket’s second stage is the orbital spacecraft, crew cabin, and reentry vehicle, it simply isn’t possible for the current design of the next-generation vehicle to match the theoretical safety of Falcon 9 and Crew Dragon. CEO Elon Musk has discussed increasing the number of engines on Starship to allow it to escape from a failing booster but that would leave astronauts with no way to escape from the upper stage itself.
On top of Dragon’s fundamentally superior safety capabilities, Falcon 9 also has an extraordinary record of 125 consecutively successful launches. If NASA wouldn’t let Dragon launch its astronauts on Falcon 9 without an active escape system, it’s hard to imagine how many consecutive launch successes Starship would need before the agency would even think about retiring Crew Dragon.
This is all to say that SpaceX is likely going to be stuck operating Crew Dragon for the indefinite future as long as it’s too stubborn to develop a true launch escape system for Starship. Even though the recently announced Polaris Program aims to culminate in the “first flight of Starship with humans on board,” it’s likely that most private SpaceX crew launch customers will follow NASA’s lead.
Thankfully, even with four Crew Dragon capsules, it’s likely that SpaceX can manage significantly more than six crewed missions per year if the demand is there and commercial passengers – mirroring NASA – aren’t ready to risk flying on Starship. Already, SpaceX has successfully launched the same Crew Dragon capsule to orbit twice in 137 days. If SpaceX continues flying back-to-back NASA crew transport missions while Boeing’s Starliner inches through qualification, that will tie up two Dragons per year, limiting SpaceX to two launches for NASA and around four to five private astronaut launches per year.
Assuming Starliner finally reaches operational readiness and begins supporting every other NASA crew launch, SpaceX could feasibly launch one NASA mission and seven private missions (lasting up to two weeks each) per year by the end of 2023. Additionally, if SpaceX can improve Crew Dragon turnaround to 120 days, the fleet could support 10 crew launches per year. 90 days? 13 launches per year. Private missions to the ISS would add plenty of schedule constraints, reducing the total number of opportunities, but that’s a minor problem in comparison.
The only lingering technical concern, then, is the longevity of SpaceX’s Crew Dragon capsule fleet. SpaceX and NASA have initially certified each capsule for five missions, but after Crew-4’s April 27th launch, the fleet has already eaten up 7 of the 20 flights that limit permits. Assuming no additional demand for private launches, the remaining 13 ‘certified’ flights might last SpaceX through 2024. Sooner than later, with NASA’s blessing, it will either need to significantly increase the number of missions each capsule is certified to fly, build new capsules, or find a way to transition to Starship.
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.”
News
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
