News
SpaceX eyes West Coast for first Starlink launch of 2023
SpaceX is reportedly planning to launch its first Starlink mission of 2023 from California’s Vandenberg Space Force Base.
Next Spaceflight reports that SpaceX is preparing to launch Starlink 2-4 no earlier than (NET) 6:54 pm PST on January 8th January 9th, almost eight weeks after unspecified issues with a Falcon 9 rocket indefinitely delayed the mission. While it’s impossible to confirm if the entire two-stage rocket and fairing were transferred, the Falcon 9 booster originally assigned to launch Starlink 2-4 on November 18th, 2022 instead launched an Israeli Earth observation satellite six weeks later.
Thankfully, after a strange and abrupt surge of technical (and indefinite) launch delays in November and December, SpaceX managed to complete its last three Falcon 9 launches without issue. The successful launch of the Falcon 9 booster assigned to Starlink 2-4 further suggests that whatever caused that surge is mostly behind SpaceX. So will the belated launch of Starlink 2-4 itself.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Signs of a return to sure footing are good for SpaceX’s plans to double down on its extraordinary growth in 2022. SpaceX rounded out the year with 61 successful orbital launches – just one shy of doubling its still impressive 31-launch record in 2021. 61 launches were also enough for Falcon 9 and Falcon Heavy to tie an almost half-century-old Soviet record for the most annual launches completed by one family of rockets.
Merely repeating that feat in 2023 would be unprecedented in the history of spaceflight. But SpaceX and CEO Elon Musk have again set their sights high and are targeting up to 100 launches this year – a 64% increase over 2022. Though it sounds improbable and will be even more difficult to achieve, SpaceX’s plans for the first month of 2023 are almost exactly what one would expect to see from a single company attempting to launch (up to) 100 times in one year.
Off to the races
SpaceX kicked off 2023 with the launch of its sixth Transporter rideshare mission on January 3rd. Unofficial public manifests like Next Spaceflight and Ben Cooper report that SpaceX wants to launch Starlink 2-4 on January 8th 9th, as well as a batch of OneWeb satellites the day prior. SpaceX’s fifth Falcon Heavy launch is scheduled to follow as early as January 12th, and a Falcon 9 rocket could launch the US military’s sixth GPS III satellite on January 18th. One or two more Starlink missions and the Amazonus Nexus geostationary communications satellite could round out the second half of the month.
Ultimately, whatever caused SpaceX’s late-year uptick in delays proved to be mostly inconsequential. Despite missing opportunities for an even busier year and not launching once between November 26th and December 8th, December 2022 was SpaceX’s first seven-launch calendar month on record. If just one of SpaceX’s most chronically delayed missions (Hakuto-R) had avoided delays, it’s likely the company would have launched eight times in one month – equivalent to 96 launches if sustained for a year.
Meanwhile, if Starlink 2-4 does launch on January 8th 9th, it will beat SpaceX’s 11.75-day West Coast turnaround record by 21 hours. If its two East Coast Falcon pads can also push the envelope throughout the year and the company can keep its extraordinary failure-free streak going, SpaceX has a surprisingly legitimate opportunity to launch 80, 90, or even 100 Falcon rockets in 2023.
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
