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SpaceX awarded three more NASA astronaut launch contracts
Three months after announcing its intent, NASA has procured three more Crew Dragon astronaut launches from SpaceX, raising the total number of operational missions the company is contracted to perform from six to nine.
NASA announced its plans to award additional contracts in December 2021 after releasing a half-hearted Request For Information (RFI) in October. That RFI, which seemingly lacked any real NASA support for an attempt to develop one or more additional crew transport vehicles, unsurprisingly produced the conclusion that the space agency should buy more flights from its existing providers.
Short of a second Commercial Crew Program (CCP), Boeing and SpaceX were thus the only options. Boeing, whose Starliner spacecraft has yet to successfully complete even an uncrewed test flight and remains years behind schedule, was apparently ruled out of this contract add-on. SpaceX, on the other hand, aced uncrewed and crewed Crew Dragon test flights in March 2019 and May 2020 and ultimately began operational astronaut transport missions in November 2020, making it the only logical option.
As such, NASA announced that it would award three more transport contracts to SpaceX, raising the total value of its Commercial Crew Transportation Capability (CCtCap) contract from about $2.6 billion to $3.49B. As of August 2019, NASA’s Office of the Inspector General (OIG) reported that of the original $2.6 billion SpaceX was awarded, the company planned to spend $1.2 billion on development and test flights and $1.4 billion on up to six operational Crew Dragon missions.
At the time, that meant that NASA intended to pay a total of ~$230 million for each of the first six Crew Dragon transport missions, each of which would carry four astronauts to and from the International Space Station and serve as a lifeboat in the six months between launch and landing. For NASA’s contract modification, the space agency will now pay the company no more than $890 million – up to $297 million apiece – for three more transport missions, each likely carrying four astronauts.
For missions seven through nine, NASA will thus pay an average of up to ~$74 million per seat – substantially more expensive than the ~$55 million per seat SpaceX’s first six Crew Dragon missions will cost the space agency. To be clear, there’s a chance that a significant fraction of the $890 million contract value increase actually came before the addition of three more missions, in which case NASA might instead be paying around $700-800 million or around $60-70M per seat for three more Dragon launches. Regardless, that’s cheaper than the ~$90 million per seat Boeing’s Starliner is expected to cost. At the end of NASA’s Soyuz ridesharing efforts, the agency was also being gouged for about ~$90 million per seat to launch its astronauts on Russian Soyuz missions.
Update: There is evidence that SpaceX’s total CCtCap contract value was about $2.74 billion before the addition of three more missions, meaning that NASA is likely paying SpaceX around $755 million or ~$63 million per seat – a more reasonable 15% increase over earlier pricing.
SpaceX remains on track to launch Crew-4 no earlier than (NET) 15 April 2022, Crew-5 NET October 2022, and Crew-6 NET February 2023. The company is now expected to complete all six of its first operational crew transport missions before Boeing’s Starliner spacecraft completes a single one. In fact, it’s increasingly plausible that SpaceX will launch all six of its original Crew missions before Starliner attempts its first crewed test flight – a milestone Crew Dragon passed in May 2020.
It remains to be seen when Starliner will finally become operational. If Boeing manages that feat by mid-2023, there’s at least a chance that Starliner and Crew Dragon will finally be able to start alternating launches, in which case NASA’s three extra Dragon launches might last until 2027. Starliner would then have three more missions remaining, allowing NASA to stretch its 15 existing Commercial Crew transport contracts as far as H2 2028.
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
