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SpaceX puts 60 Starlink satellites in orbit with first rocket launch of the year [photos]
SpaceX has kicked off a record-breaking 2020 launch manifest with a spectacular combination of Starlink satellites and a Falcon 9 rocket, the first of perhaps two dozen such launches planned this year alone.
Falcon 9 booster B1049 supported the mission, becoming the second SpaceX rocket ever to complete four launches and landings after B1048 did it first in November 2019. Starlink-2’s Falcon 9 booster is now safely aboard drone ship Of Course I Still Love You and beginning the 600 km (375 mi) journey back to Port Canaveral, Florida, where it will likely be processed and turned around for a fifth launch in the near future.
Teslarati photographer Richard Angle was on-site to capture the event and caught a number of spectacular photos of SpaceX’s Starlink-2 launch, ranging from an excellent visualization of the rocket’s trajectory to a close-up view highlighting the fury of Falcon 9’s nine Merlin 1D engines seconds after liftoff.
Falcon 9 Block 5 boosters are loaded with some 520 metric tons (1.2 million lb) of liquid oxygen, refined kerosene (RP-1), helium, and nitrogen. At full throttle, the nine Merlin 1D engines that power each Falcon booster can produce more than 7600 kN (1.7 million lbf) of thrust, equivalent to more than 60 737 passenger jets chained together. At the same time, every one of those nine Merlin 1D engines likely consumes more than 270 kg (600 lb) of liquid oxygen and kerosene every second, with all nine engines combining to burn the equivalent of one and a half Tesla Model 3s worth of propellant per second.
A step further, the 1.5 Teslas of propellant Falcon 9 boosters burn each second exits the nozzles of their nine Merlin 1D engines traveling almost 3 kilometers per second (1.9 miles per second) – more than 35 times faster than the fastest hurricane windspeeds every recorded. In simple terms, the exhausts of even tiny orbital-class rockets create a spectacularly violent and unearthly environment in the seconds immediately following liftoff, exaggerated by the ground and pad hardware reflecting all that energy and fury.
And Falcon 9 (let alone Falcon Heavy) is no tiny rocket. While it’s still extremely difficult to get a good sense of scale while looking at launch photos, it’s safe to say that photos of Falcon 9’s nine Merlin 1D engines shortly after launch undeniably capture at least a small sense of the sheer heat, fury, and stress experienced by SpaceX’s orbital launch pads. One of the most obvious features are giant clouds backlit by the rocket’s own engines, produced as a side effect of the common use of water deluge systems to protect launch pads and keep launch vehicles from damaging themselves.
In the handful seconds the rocket is near the pad, swimming pools worth of water are almost instantaneously vaporized by into superheated steam clouds by its exhaust and then violently buffeted by the shockwaves and vibrations they produce. In simple terms, the sound alone – let alone the heat or debris kicked up by the exhaust – would likely kill or at least severely injure an unprotected human observer standing nearby, while the heat would probably incinerate immediate bystanders.
Regardless of the pedantry of observing rocket launches up close and really personal, January 6th’s Starlink launch is the first of as many as 36 launches SpaceX has planned in 2020 – some two dozen of which could end up being dedicated Starlink missions. SpaceX’s next two Starlink launches – Starlink-3 and -4 – are already scheduled to lift off as early as later this month.
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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.”
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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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
