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SpaceX Dragon spacecraft to have a continual presence in space starting this year
Days after NASA confirmed that SpaceX is on track for a Crew Dragon launch on November 14th and the first Cargo Dragon 2 launch on December 2nd, a company executive says that that back-to-back launch is a sign of things to come.
The first semi-functional Dragon spacecraft flew more than a decade ago in December 2010, followed some 18 months later by vehicle’s second orbital mission, during which SpaceX became the first private company in history to launch and berth a spacecraft with the International Space Station (ISS). Four months after that, Cargo Dragon successfully berthed with the ISS for the second time as part of SpaceX’s first NASA Commercial Resupply Services mission (CRS-1), beginning what would come to be an extraordinarily successful series of 19 operational space station resupply runs, delivering a bit less than 45 metric tons (~100,000 lb) total.
SpaceX fulfilled the entirety of its NASA CRS1 contract in April 2020, effectively retiring the first-generation Dragon spacecraft. Less than two months later, Crew Dragon – an upgraded ‘Dragon 2’ spacecraft – lifted off on its second orbital mission and astronaut launch debut, the flawless completion of which has made SpaceX the first private company in history certified to fly astronauts by a national space agency. Now, perhaps little more than two weeks apart, SpaceX is on track to attempt its first operational astronaut launch and the first launch of an upgraded Cargo Dragon spacecraft under a new NASA CRS2 cargo contract.
Speaking in a November 10th press teleconference focused first and foremost on Crew Dragon’s imminent operational launch debut, SpaceX executive Benji Reed – taking a well-earned stance of confidence – revealed some impressive details about what to expect from Dragon going forward.
“Over the next 15 months, we will fly seven Crew and Cargo Dragon missions for NASA. That means that starting with Crew-1, there will be a continuous presence of SpaceX Dragons on orbit. Starting with the cargo mission CRS-21, every time we launch a Dragon, there will be two Dragons in space – simultaneously – for extended periods of time. Truly, we are returning the United States’ capability for full launch services and we are very, very honored to be a part of that.”
Benji Reed, SpaceX – November 10th, 2020
In short, SpaceX has seven Dragon launches scheduled between November 2020 and January 2022, necessitating an average cadence of one Dragon mission every two or so months. To accomplish that feat, SpaceX will begin to delve deep into reusability, reusing both Crew and Cargo Dragons and the Falcon 9 boosters tasked with launching them. The first of those reuses is schedule as soon as March 2021, in which four astronauts will launch on a flight-proven booster, inside a flight-proven orbital spacecraft, to the International Space Station.
Meanwhile, thanks to NASA’s plans to extend the amount of time uncrewed Cargo Dragon 2 spacecraft spend in orbit at the ISS and an average of two six-month Crew Dragon missions annually, SpaceX could find itself maintaining a continuous presence in space starting as soon as November 14th. As Reed notes, that also means that every two Dragons will be simultaneously operating in low Earth orbit (LEO) every time SpaceX launches a Cargo Dragon resupply mission.
Roscosmos, Russia’s national space agency, is the only other entity on Earth that can claim a similar capability – now used to simultaneously operating multiple Soyuz crew and Progress cargo spacecraft in orbit after almost a decade spent serving as the sole bridge between Earth and the ISS. If SpaceX’s Crew-1 Crew Dragon and CRS-21 Cargo Dragon launches are successful, the private US company will effectively become the backbone of US spaceflight, almost singlehandedly reasserting the country’s position as a competitive space power.
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
