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SpaceX, NASA test escape zipline ahead of Crew Dragon’s astronaut launch debut
As part of continued preparations ahead of SpaceX’s Demonstration-2 mission (DM-2) that will debut Crew Dragon’s ability to support astronaut flight, SpaceX and NASA have successfully tested crew emergency egress (escape) systems at SpaceX’s primary crew launch facilities located at Launch Complex 39-A (LC-39A) at Kennedy Space Center in Florida. The successful verification tests have proven that SpaceX is ready to support crewed launches and preserve human life with effective escape methods, including a zipline mounted basket system that will whisk astronauts away from Crew Dragon and Falcon 9 in the event of a launch pad anomaly.
The formal launch pad escape verification test comes just a month after SpaceX and NASA CCP teams practiced astronaut recovery rehearsals – including emergency astronaut evacuation – from a high-fidelity Crew Dragon mockup capsule aboard the recovery Vessel GO Searcher.
Multiple teams from NASA and SpaceX including personnel from the Astronaut Office at NASA’s Johnson Space Center in Houston, NASA Flight Surgeons, SpaceX systems engineers, Kennedy Aero Medical, and Commercial Crew Program Safety worked together to successfully complete two full-dress rehearsals of different escape methods.
In a Commercial Crew Program (CCP) blog post, NASA CCP launch operations integrator Steve Payne stated that “this demonstration allowed all the various teams responsible for ground operations, system design, ground safety and emergency management to observe and verify the system is ready for operational use.”
The launch pad escape methods practiced at LC-39A simulated evacuation plans that would usher flight and pad crew members to safety should any sort of life-threatening anomaly occur during launch proceedings. Two different versions of escape methods were practiced – a quick emergency evacuation utilizing the zipline system and a less life-threatening situation using an elevator.
Both escape plans require that crew members are able to evacuate the crew access arm and crew-loading level of the Fixed Service Structure (FSS) at LC-39A, located some 265ft in the air. During SpaceX renovations of LC-39A the crew loading platform was moved roughly half a level higher to accommodate the Crew Dragon capsule’s position atop a Falcon 9 booster, as the Crew Dragon stack is far different from and significantly taller than the Space Shuttles that previously flew from LC 39-A.
One exit method demonstrated how both flight and pad crew members could exit the launch pad under non-emergency circumstances. NASA astronauts Bob Behnken and Shannon Walker participated in the exercises and began the first rehearsal at the end of the crew access arm (CAA) – known as a white room – and took an elevator in the FSS to the ground before being escorted to a safe location nearby.
The second rehearsal simulated an emergency (i.e. time-sensitive) egress with active escape alarms and fire suppression systems that required the astronauts and pad crew to escape the launch tower using slide-wire mounted – essentially a serious zipline – basket transport system. This method has been around for decades and during the SpaceX LC-39A renovations some much-needed upgrades were implemented, including a new braking system to control basket descent speed and modifications to allow easier exit from the baskets.
In the blog post, Behnken expressed excitement about the completion of the verification tests, as they bring him and his colleagues one step closer to launching to orbit aboard SpaceX’s Crew Dragon spacecraft. “It’s exciting to have this verification test behind us on our way to the SpaceX Demo-2 mission. Each time today when we headed down the crew access arm, I couldn’t help but think about what it will be like to strap into Dragon on launch day.”
Behnken’s words reflect the anticipation and excitement that is shared by all as we await the historic and triumphant return of human spaceflight from US soil when SpaceX’s Crew Dragon capsule carries astronauts to the International Space Station for the first time. SpaceX CEO, Elon Musk, recently stated that the Crew Dragon capsule (C204) and trunk that will support DM-2 and (hopefully) push SpaceX into a new era of human spaceflight is set to arrive in Florida as early as November 2019. The Falcon 9 booster (B1058) has already completed static fire testing in Texas and is likely already in Florida or set to arrive imminently.
If all goes as planned during Crew Dragon’s upcoming in-flight abort (IFA) test and NASA is able to efficiently complete its myriad of reviews and paperwork, SpaceX should be ready to launch its first astronauts into orbit early next year.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.”
News
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
