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SpaceX and NASA reaffirm Crew Dragon’s January 2019 launch debut target
After what can only be described as an attempt to sandbag the official launch schedule, NASA administrator James Bridenstine remains alone in his public implication that the date for SpaceX’s first Crew Dragon test flight (DM-1) is so uncertain that “the first half of 2019” was the closest he would get to an estimate.
Such an uncertain estimate would normally be par for the course of NASA’s Commercial Crew Program (CCP), but the fact remains that SpaceX and NASA have recently filed for and received specific launch date allotments for Crew Dragon’s DM-1 launch, dates little more than 4-6 weeks away from today.
At the NAC HEO meeting, Bill Gerstenmaier says the SpaceX Demo-1 mission is planned “towards the end of January.”
— Jeff Foust (@jeff_foust) December 6, 2018
As such, the fact that NASA associate administrator Bill Gerstenmaier – a critical hands-on leader of NASA’s commercial and exploration programs – specifically stated that NASA and SpaceX are targeting DM-1’s launch in January is an unusually stark indication that the two senior NASA officials are not reading from the same script, so to speak. The reasons for the dramatic differences in official statements separated by just one week are hard to parse and would inevitably tread into waters of pure speculation and political machinations.
What is far more important is that Gerstenmaier – backed up by Phil McCalister, NASA Director of Commercial Spaceflight – reaffirmed that NASA is planning for the first orbital, uncrewed launch of SpaceX’s Crew Dragon as early as January 2019, albeit with a slight 10-day slip since the last specific launch date (January 7) was announced.
Speaking before and after Falcon 9’s recent launch of Cargo Dragon (CRS-16) on December 5th, SpaceX VP of Launch and Build Reliability Hans Koenigsmann added yet another voice to the chorus, stating that he and SpaceX were extremely confident that all the physical hardware and software aspects of Crew Dragon would be ready to launch no later than January 7th.
NASA’s Phil McAlister updates the status of SpaceX’s Demo-1 Crew Dragon spacecraft, and says the company aims to have all hardware ready by Dec. 20, then will stand down for the holidays before resuming launch preps in January. pic.twitter.com/XDubh95PEV
— Stephen Clark (@StephenClark1) December 6, 2018
Why so uncertain?
It’s impossible to fully delve into the complex political and bureaucratic intricacies of modern NASA, but the uncertainty within NASA and the deltas between NASA and SpaceX’s official statements can generally be explained by the simple fact that a number of critical final reviews have yet to be completed, reviews that will offer the final determination of when or if Falcon 9 and Crew Dragon are ready to launch.
Depending on the results of those readiness reviews, DM-1 could be given the go-ahead to launch in January or it could be delayed six months because NASA wants SpaceX to change a number of critical spacecraft systems, two extreme sides of what can be best described as a spectrum of possibilities.
In other words, SpaceX’s Koenigsmann and NASA’s Gerstenmaier and McCalister have since implied that they are confident that those final reviews will look favorably upon launch dates that approximate “ASAP”. Bridenstine, while technically the head of NASA, can thus be treated as a dissenting or outlier opinion in this case, presumably offering a worst-case-scenario of when SpaceX might be able to launch DM-1 if final reviews go very badly.
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- SpaceX technicians move the integrated DM-1 Crew Dragon during a vacuum chamber test campaign. (SpaceX)
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- A SpaceX employee works on the Crew Dragon assigned to DM-2, the first launch with astronauts aboard. (SpaceX)
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- SpaceX installed its Crew Access Arm (CAA) in September 2018. (Tom Cross)
Bridenstine and Koenigsmann’s comments are worth looking at in a bit more depth, subtly but unequivocally pointing to the differences in opinion between NASA and SpaceX that clearly still float just beneath the public surface. Asked about Bridenstine’s suggestion that DM-1 could slip quite a bit, Koenigsmann offered a skeptical but levelheaded response:
“What I could see is a [slip of a] couple of days because of [Space Station] traffic. For example, CRS-16 (Cargo Dragon) is on station at the same time, lots of traffic, lots of crew time requirements, but our target is – at this point in time – mid-January, and we’re pushing as hard and [as diligently] as we can for this particular launch.”
In fact, it appears that NASA and SpaceX concluded, around the same point in time, that a new target of January 17th was preferable to account for the logistical scheduling concerns highlighted by Hans in the above quote, allowing 10 extra days for the International Space Station (ISS) crew to complete other spacecraft operations before Crew Dragon’s planned arrival.
Even more intriguingly, local reporter Ken Kremer followed up with a question specifical triggered by Bridenstine’s suggestion (according to USA Today) that “challenges” with Crew Dragon’s landing parachutes were a leading factor in the unlikelihood of a January launch. Hans responded in his usual deadpan style:
“No; we’re working through issues, obviously, I mean every launch has things that we work through to make sure they work fine. [Dragon 2’s parachutes] actually have more redundancy than those on Dragon 1 and they are also [structurally] reinforced on Demo-1, so pretty sure [they’re] gonna be successful.”
Now we wait.
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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
