News
SpaceX Starlink launch offers rare live view of Falcon 9 booster landing
Update: SpaceX has aced the first its tenth launch of 2021 and 23rd operational Starlink launch while simultaneously offering an uninterrupted live view of a Falcon 9 booster landing from the rocket’s onboard camera for the first time in months.
While SpaceX’s official webcast got off to a rough start with no onboard camera views throughout the entirety of ascent and beginning of booster descent, whatever was causing the camera outage was fixed around seven minutes after liftoff, returning live onboard views after the first outage of its kind in years. For whatever reason, Falcon 9 booster B1058 and the satellite link it uses to transmit telemetry and live camera views behaved almost perfectly for the next few minutes, providing a nearly uninterrupted two-minute-long view of the rocket’s seventh successful landing.
For unknown reasons, those uninterrupted onboard views may have still been unusual but were substantially less rare a few years ago. Over the last several-dozen SpaceX Falcon launches, they’ve effectively faded into a once-in-a-blue-moon occurrence. Regardless, Falcon 9 B1058 has become the second SpaceX booster ever to fly twice in less than four weeks, falling just four hours short of setting a new turnaround record for reusable rockets.
45 minutes after liftoff, Falcon 9’s expendable second stage relit for a brief one-second burn. Around 20 minutes later, after spinning itself end over end, the rocket commanded the deployment of its batch of 60 operational Starlink satellites, sending the spacecraft on their way to gradually spread apart, deploy solar arrays, and begin propelling themselves to their final orbits. With Starlink-23 complete, SpaceX has successfully launched 10 orbital missions in the first 95 days of 2021, a cadence that would equate to almost 40 launches this calendar year if SpaceX can sustain it.
SpaceX is scheduled to attempt its tenth orbital launch of 2021 – also Falcon 9’s two-dozenth dedicated Starlink mission – as early as 12:34 pm EDT (UTC-4) on Wednesday, April 7th.
Known as Starlink-23 SpaceX’s 23rd dedicated launch of operational Starlink satellites and 24th operational launch overall will also mark the first time a Falcon 9 rocket lifts off under daylight since January 24th – a welcome reprieve after half a dozen late-night or early-morning Starlink launches. SpaceX will offer an official webcast of the launch as usual, with coverage beginning around 12:20 pm at the links below.
In what has rapidly become the company’s default, Starlink-23 will also continue to establish that SpaceX is on track for a record-breaking number of launches this year.
Encapsulating the mission’s stack of 60 Starlink v1.0 satellites to protect them from the environment and the aerothermal stresses of launch, one of Starlink-23’s two fairing halves will be flying for the fourth time – the second of its kind for rocket fairing reusability. The other fairing half supported one other Starlink mission prior to Wednesday’s launch, making it SpaceX’s 15th launch – and Falcon 9’s fifth consecutive launch – with a fully flight-proven payload fairing since the company first began reusing the carbon composite nosecones in November 2019.
Beneath Starlink-23’s flight-proven fairing and expendable second stage, SpaceX has assigned Falcon 9 booster B1058 to the launch. Barring delays, the historic rocket – famous for debuting in May 2020 on SpaceX’s inaugural ‘Demo-2’ astronaut launch – will narrowly miss beating SpaceX’s Falcon booster turnaround record (27d 4h) by a little over four hours. In other words, Starlink-23 will mark the second time in spaceflight history that a rocket booster has flown twice in less than four weeks and achieve that feat just two months after Falcon 9 B1060 became the first to do so.
Beyond individual feats of rocket reuse, Starlink-23 will also be SpaceX’s 10th orbital launch in three months – just 95 days into the new year. On average, that means that the company and its Falcon rockets are on track to complete nearly 40 orbital launches (~39) in 2021 – shy of CEO Elon Musk’s ambitious 48-launch target but still a major achievement if SpaceX can sustain its first-quarter cadence.
After Starlink-23, SpaceX is expected to enter a rare two-week stand-down as it turns its focus to Crew-2, Crew Dragon’s second operational astronaut launch. That mission is scheduled to launch no earlier than (NET) April 22nd.
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
