News
SpaceX Crew-1 launch set for Sunday, ULA successfully launches spy satellite
On Friday evening, Nov. 13, NASA and SpaceX announced that the first operational Commercial Crew Program mission of the Crew Dragon would be delayed 24 hours to Sunday, Nov. 15, at 7:27 pm EST (0027 GMT 11/16). During a Crew-1 pre-launch news conference, SpaceX’s senior director of the Human Spaceflight Programs, Benji Reed, stated that the delay was driven by impacts on recovery efforts caused by tropical storm Eta, which had plagued Florida for days.
Just prior to the news conference, United Launch Alliance(ULA) successfully launched its Atlas V rocket after suffering delays of its own earlier in the week. The NROL-101 mission carried a classified payload for the National Reconnaissance Office of the U.S. government and successfully launched from Space Launch Complex 41 (SLC-41) at Cape Canaveral Air Force Station at 5:32 pm EST.
Florida weather caused multiple launch delays
Weather, especially that caused by tropical storm Eta, has caused a domino effect of delays for SpaceX and ULA over the last few weeks. The ULA Atlas V 531 rocket stacked with the secretive NROL-101 payload, initially set to liftoff on Nov. 3, was first delayed by damage sustained to environmental control system hardware of the upper stage.
According to company CEO, Tory Bruno, as the rocket was transported from ULA’s vertical integration facility (VIF) to the launchpad of SLC-41, very high winds caused damage to a duct that controlled the flow rate of an upper payload environmental control system. As a result, the rocket was returned to the VIF to have the duct replaced. A launch attempt scheduled for the following day on Wednesday, Nov. 4, was called off due to an unrelated problem with ground support equipment.
The NROL-101 mission was then set to launch on Sunday, Nov. 8, but that attempt was eventually called off due to the impending weather that would be brought across the Florida peninsula by then hurricane Eta. On Friday, Nov. 6, the Atlas V 531 rocket and payload for the National Reconnaissance Office was once again returned to the VIF for protection from the storm.
A final launch attempt was identified for Friday, Nov. 13, just 22 hours before the scheduled launch of the SpaceX, NASA Crew-1 mission from nearby Launch Complex 39A at the Kennedy Space Center. Fortunately, the weather held out long enough for the ULA Atlas V 531 rocket to liftoff. Following liftoff and successful payload deployment the mission was later declared a full success by ULA.
Florida weather also caused offshore recovery delays, impacting crewed launch
Similarly, the SpaceX and NASA Crew-1 mission has also suffered setbacks due to inclement weather, although not at the launch site. Following the successful launch and landing of the B1062 Falcon 9 of the recent GPSII-SV04 mission on Thursday, Nov. 5, SpaceX recovery teams battled unsettled seas to return the booster and the recovery droneship, Of Course I Still Love You (OCISLY), safely back to Port Canaveral.
After securing B1062 safely aboard OCISLY, the SpaceX recovery vessel GO Quest took refuge at the Port of Morehead City in North Carolina. The recovery crew would wait there to assist with the recovery of the B1061 Falcon 9 of the Crew-1 mission, rather than return to Port Canaveral in Florida. The droneship Just Read The Instructions (JRTI) was intended to meet the crew of GO Quest at the Crew-1 booster recovery zone prior to the end of the week.
Due to high winds and rough seas churned up by tropical storm Eta, the OCISLY droneship took an exceptionally tedious 7-day journey hugging the eastern coast of the United States to return to Port Canaveral. The delay caused the crew transfer process from OCISLY to JRTI to be delayed which in turn hindered the departure of the JRTI droneship.
As tropical storm Eta moved out and away from Florida the waters of the Atlantic remained too rough for the JRTI droneship to make up for the lost time. Following the conclusion of SpaceX’s Crew-1 preflight launch readiness review on Friday, Nov. 13, it was announced that the delay in getting the recovery droneship to the B1061 landing zone would delay the Crew-1 launch attempt by 24 hours.
Recovering the Falcon 9 booster, of any mission, is a secondary mission objective. However, the recovery of the Crew-1, B1061 Falcon 9 is important to both NASA and SpaceX – enough so to delay a launch attempt. NASA and SpaceX have already designated this booster to be reused on the next Crew Dragon mission, Crew-2, targeted for no earlier than March 30, 2021. In order to reuse a booster to save on launch costs, it must first be successfully recovered.
If all goes to plan, three NASA astronauts and one astronaut from the Japan Aerospace Exploration Agency will climb aboard the Crew Dragon Resilience on Sunday, Nov. 15, and blast off to the International Space Station precisely at 7:27 pm EST (0027 11/16) from LC-39A at the Kennedy Space Center.
NASA and SpaceX will provide a hosted live broadcast of all Crew-1 events beginning at 3:15 pm EST on Sunday, Nov. 15, on NASA TV and on the SpaceX website.
Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.
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
