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SpaceX's Crew Dragon astronaut launch debut schedule revealed by Elon Musk

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On the heels of a brand new animation simulating the spacecraft’s next orbital launch milestone, SpaceX CEO Elon Musk has revealed a tentative schedule for Crew Dragon’s astronaut launch debut.

Known as Demo-2, short for Crew Dragon’s second orbital demonstration mission, the launch could make SpaceX the first commercial company in history to send astronauts to space (i.e. orbit), as well as the first private company to deliver astronauts to the International Space Station (ISS). If things go as planned over the next several months, that should kick off a new era where NASA will routinely rely on SpaceX (and Boeing) to ensure that the US has a continued presence in space.

The International Space Station has been continuously crewed by astronauts since October 31st, 2000, representing nearly two decades that humanity has had an uninterrupted presence in space. Supported by regular NASA Space Shuttle and Russian Soyuz launches that enabled space agencies to safely send astronauts to and from the space station, SpaceX’s Crew Dragon and Boeing’s Starliner are nearly ready to pick up the torch that NASA and the United States fumbled when the Shuttle was prematurely canceled in 2011.

Over the last five years, SpaceX has been working tirelessly to design, build, and test Crew Dragon – all in the name of ensuring that it will be one of the most reliable and capable human-rated spacecraft ever flown once it begins taking astronauts to and from the ISS. As with almost all human-rated spacecraft in history, Crew Dragon’s development has not been without its hurdles and detours, ranging from challenges with the spacecraft’s parachute recovery systems to a catastrophic capsule explosion during thruster testing.

As a result, SpaceX has put extra effort into optimizing and redesigning Crew Dragon’s many subsystems to ensure that all work exactly as intended. Thankfully, all of Crew Dragon’s development hurdles have occurred during testing specifically designed to reveal such problems, meaning that no humans have been harmed (or killed) over the course of the program. In the history of human spaceflight, it has often been the case that catastrophic spacecraft failure modes are only discovered after operational flights began, resulting in the deaths of numerous astronauts during Soyuz, Space Shuttle, and SpaceShipTwo – as well as three NASA astronauts during Apollo 1 ground testing.

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Crew Dragon separates from Falcon 9’s upper stage on its way to the International Space Station. (SpaceX)

Spaceflight is nevertheless a dangerous endeavor, at least for the time being, so it’s entirely possible that Crew Dragon will ultimately suffer accidents or failures during crewed missions, evidenced most recently by Starliner’s failure to reach the space station during the Boeing’s spacecraft’s first orbital launch. Still, both companies are working hard to ensure that even in the event of a failure, their spacecraft are able to protect their astronaut passengers and safely return them to Earth.

In line with that, SpaceX (unlike Boeing) opted to perform a live In-Flight Abort (IFA) test with Crew Dragon before allowing the spacecraft to begin astronaut launches. Scheduled to launch as early as January 11th, SpaceX will launch a Dragon spacecraft atop Falcon 9 and simulate a rocket failure during the most stressful point of launch. If Crew Dragon can fire up its abort thrusters and whisk its hypothetical passengers to safety, chances are that the spacecraft will be able to do the same at any other point during launch – from before liftoff all the way to orbit.

SpaceX has been developing its first human-rated spacecraft since it began build Cargo Dragon more than a decade ago – all paths for the company have ultimately pointed towards human spaceflight. According to CEO Elon Musk, the Crew Dragon spacecraft and Falcon 9 launch vehicle assigned to support the company’s inaugural astronaut launch will be in Florida and ready for flight as early as February 2020, a few-month delay compared to the often overly-optimistic executive’s previous Nov/Dec 2019 target.

Although the hardware could be ready to launch three months (or less) from now, Musk believes that the NASA preflight reviews that must follow will likely take “a few more months” – unfortunately likely given that Crew Dragon’s uncrewed launch debut (Demo-1) was likely ready for flight almost two months before NASA finally cleared SpaceX to launch.

Ultimately, as long as Crew Dragon’s IFA test goes well next month, it’s likely that the spacecraft will launch twice in the first half of 2020, potentially making history sometime in the second quarter.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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