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SpaceX says crew spacecraft abort test still on track for 2019 launch
NASA recently invited members of the media to apply for access to SpaceX’s Crew Dragon in-flight abort (IFA) test and, as of December 5th, the company reaffirmed that the crucial test is still on track to launch just weeks from now.
In September, SpaceX CEO Elon Musk revealed that Crew Dragon’s IFA spacecraft and Falcon 9 was scheduled to arrive in Florida within a few weeks. Days later, NASA confirmed that the rocket and spacecraft arrived in Florida on October 3rd, sooner, in fact, than Musk had predicted. Over the next few weeks, SpaceX technicians and engineers effectively closed out Crew Dragon capsule C205, priming it for operations and installing its body panels.
On November 13th, about six weeks after arriving in Florida, SpaceX successfully tested Crew Dragon’s redesigned propellant plumbing and high-pressure gas systems by static firing its Draco thrusters and SuperDraco abort engines. The successful static fire test lasted around 9 seconds, mirroring the SuperDraco impulse and thruster inputs the spacecraft would need to demonstrate in an actual in-flight abort. Crew Dragon has four sets of two SuperDraco engines capable of producing a combined thrust of more than 130,000 lbs (570 kN), almost as much thrust as the original SpaceX Merlin 1D engines used on Falcon 9 in the early 2010s.
Meant to verify that SpaceX has successfully redesigned Crew Dragon after the spacecraft suffered a catastrophic explosion during a very similar static fire attempt, November 13th’s was followed by an exhaustive hardware inspection and data review, some of which is likely still ongoing. Although NASA’s media invite suggests that a given launch event could be just a month or so away, there is a ton of uncertainty when dealing with major launches of new hardware (like Crew Dragon), meaning delays are all but guaranteed.
During a pre-launch media briefing ahead of SpaceX’s CRS-19 Cargo Dragon launch, director of Dragon mission management Jessica Jensen answered a question about Crew Dragon’s IFA test, cautiously stating that SpaceX teams are “targeting [a] December” launch. During SpaceX’s December 5th CRS-19 launch webcast, Dragon Engineering Manager John Federspiel briefly brought up Crew Dragon, noting that SpaceX was completing “minor refurbishment” following its successful static fire.
Most notably, he stated the IFA test was “targeted for February of 2020”, while Crew Dragon’s subsequent ‘Demo-2’ astronaut launch debut was expected to follow no earlier than (NET) “the first quarter of [2020]”, implying either February or March.
As it happened, SpaceX and several media outlets almost immediately attempted to correct the record, instead suggesting that Crew Dragon’s abort test is still tracking towards a launch later this month. Given that a senior Dragon engineering manager was the one to unblinkingly – and without correction – state that IFA is NET February 2020, there’s a strong possibility that he is technically correct but was not supposed to publicize the mission’s delay. At the same time, SpaceX appears to be firm on its claim that IFA is still aiming for a late-December launch. Delays would be no surprise – Crew Dragon’s Demo-1 launch debut took an agonizing three months to go from heading to the launchpad for the first to actually lifting off, almost entirely due to minor technical bugs and NASA paperwork.
Regardless, with less than four weeks left in 2019, SpaceX has an exceptionally tight schedule ahead of it to meet that December 2019 IFA launch goal and will effectively have to static fire IFA’s Falcon 9 before the end of the week or crush Crew Dragon’s inaugural processing time by at least a factor of four to achieve it. As such, a delay in 2020 should be all but expected at this point. With any luck, however, Crew Dragon will successfully perform its in-flight abort within the next 4-8 weeks, leaving SpaceX in a good place to prepare for its inaugural astronaut launch a few months later.
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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
