News
SpaceX, NASA hold press conference, historic astronaut launch clears final hurdles before readiness
With less than a month to go before the historic first crewed flight – and final human rating certification test – of the SpaceX Crew Dragon Demonstration 2 mission, NASA and SpaceX jointly held a full day of pre-mission press conferences on Friday, May 1st. Throughout the day many minor, but crucial, details were revealed.
Two primary technical concerns remained prior to Crew Dragon’s debut astronaut mission- the final drop test of the Crew Dragon Mark III parachutes and NASA’s clearance of SpaceX’s resolution of an in-flight engine-out anomaly suffered during the ascent phase of a previous Starlink mission.
Falcon 9 Merlin 1D engine-out anomaly
During the March 18th Starlink launch of a four-time flown Falcon 9 first-stage booster, a brief anomalous engine flare was witnessed during the ascent. Although ultimately successful in the deployment of the stack of 60 satellites, the first-stage booster failed to stick the landing aboard the autonomous spaceport drone ship “Of Course I Still Love You” resulting in a total loss. SpaceX CEO, Elon Musk, responded to comments posted to Twitter confirming the in-flight, early shutdown anomaly of one of the nine Merlin 1D engines.
Musk provided assurance that a thorough investigation would be conducted by SpaceX prior to any return to flight. Musk also noted that the first-ever engine failure of a Merlin 1D engine proved its robustness and the importance of redundancy provided by the other eight engines.
Just prior to the next Starlink mission on April 22nd marking a recycled Falcon 9 booster’s return to flight, Musk once again took to Twitter to provide insight into the early shutdown, in-flight anomaly. Musk stated that a small amount of isopropyl alcohol, used for cleaning the Merlin 1D engines, had been trapped in a sensor dead leg – later clarified as “an area it couldn’t float through” by SpaceX webcast host Lauren Lyons – and was ignited during flight causing the early shutdown of one Merlin 1D engine.
As identified during the April 22nd launch broadcast, out of an abundance of caution SpaceX decided to forgo that cleaning process for the April 22nd mission. However, no information was divulged regarding NASA’s response to either the anomaly or the resolution. Ultimately, the first stage Falcon 9 booster of the Starlink-6 performed flawlessly and even managed to stick the landing aboard the awaiting drone ship.
During Friday’s Commercial Crew and International Space Station overview news conference, a question regarding NASA’s response to the anomaly posed by Jeff Foust – reporter for SpaceNews.com – was directed to NASA’s Commercial Crew Program program manager, Kathy Lueders. She was asked to expand on the final technical constraints remaining prior to the launch of the Crew Dragon DM-2. Lueders responded positively stating that NASA had “reviewed the anomaly resolution…and cleared the engines on our launch vehicle” referring to the Falcon 9 booster slated to support DM-2, noting that the engine-out issue had been satisfactorily resolved and is now behind them.
One more drop test
Early in Friday’s Commercial Crew and International Space Station overview news conference – and later confirmed during remarks made by Lueders – SpaceX Chief Operating Officer, Gwynne Shotwell noted that a final 27th drop test of the Crew Dragon Mk III parachutes was scheduled to be completed later in the day. During a later Q&A interview with the crew of DM-2 – NASA astronauts Bob Behnken and Doug Hurley – Hurley commented that the final drop test had begun, however, he wasn’t quite sure if it had been completed successfully or not.
Just after the closing remarks of the crew Q&A interview, SpaceX announced via social media the successful completion of the 27th and final drop test of the all-important Mk III parachutes.
The May 1st final parachute drop test followed a worrisome stumble of the parachute program on March 24th. SpaceX announced that a Crew Dragon test article had become unstable forcing the helicopter pilot to prematurely release the test article out of an abundance of caution to maintain the safety of the helicopter crew. SpaceX noted that “while the test article was lost, this was not a failure of the parachute system and most importantly no one was injured.”
The confirmation of the successful May 1st drop test and the resolution of the Merlin 1D engine anomaly close out one of the final chapters of prerequisites prior to returning human spaceflight to American soil.
The only hurdles that remain to be cleared are various agency-level readiness reviews. According to Lueders, a SpaceX Flight Readiness Review is tentatively scheduled for Friday, May 8th followed by a NASA Flight Readiness Review on May 11th. Just one week ahead of launch, the final joint Launch Readiness Review is tentatively scheduled to be completed Wednesday, May 20th at which point DM-2 will bring crewed astronaut spaceflight back to American soil for the first time in nearly a decade.
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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
