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SpaceX’s next West Coast Starlink launch likely delayed as drone ship returns to port
Update: Less than a day after departing Port of Long Beach, California, SpaceX drone ship Of Course I Still Love You (OCISLY) has turned around and appears to be on its way back, signaling a last-minute delay for the company’s second West Coast Starlink launch.
Normally, SpaceX doesn’t halt drone ship trips downrange for just a day or two of launch delays, suggesting that Starlink 2-3 could slip at least several days beyond its current October 17th and 18th target and backup dates.
A pair of notices to mariners (NTMs) published earlier this week reveal that SpaceX could conduct its second West Coast Starlink launch as early as Sunday, October 17th.
Used to delineate certain regions mariners should temporarily avoid or heed caution in, NTMs – while cryptic – often reveal roughly when a rocket launch or spacecraft reentry is expected to occur days or weeks before NASA, the US military, or any companies involved announce an official target. That now appears to be the case for SpaceX’s “Starlink Group 2-3” mission, which is set to be the second dedicated launch of polar Starlink satellites. Presumably identical to Starlink 2-1, which successfully launched on a Falcon 9 rocket on September 14th, Starlink 2-3 will likely carry another 51 upgraded Starlink V1.5 satellites.
Each fitted with several custom SpaceX-built lasers known as optical interlinks or OILs, Starlink Group 2 satellites will (roughly) orbit Earth’s poles instead of its equator and will eventually use those lasers to allow the rest of the Starlink constellation to route user communications entirely in space. Whereas current Starlink internet users must live within a few hundred miles of a SpaceX ground station to access the network, a constellation of satellites with laser interlinks could serve anyone on Earth – practically independent of ground station location – by routing user communications through any number of laser-linked satellites.
Once all ~1600 Starlink V1.0 satellites are replaced with V1.5 spacecraft, SpaceX will have effectively created a second internet independent of the millions of miles of copper and fiber optic cables that nearly all modern users rely on. Of course, SpaceX’s Starlink V1.5 and V2.0+ constellation will mainly function as an extension of that existing network, but it will allow unprecedented feats of routing – latency that no wired network can physically match, in other words.
The primary draw for a laser-linked constellation, though, is the ability to connect users to the internet almost regardless of location. On top of hundreds of millions of rural and underserved or unserved customers worldwide, even including those trapped inside restrictive national ‘firewalls,’ an interlinked constellation will allow SpaceX to deliver unprecedentedly high-quality connectivity to ships, planes, trains, and road vehicles. Currently only served by mediocre and marginally reliable geostationary providers at great cost, disrupting those captive markets with a service as many leagues above as Starlink could singlehandedly secure SpaceX billions of dollars of annual revenue.
Soon after the notices to mariners appeared, Next Spacefight’s Michael Baylor confirmed that the Starlink 2-3 mission is scheduled to launch out of Vandenberg Air/Space Force Base no earlier than (NET) 10:34 am PDT (UTC-7) on Sunday, October 17th. The launch window is open for one hour and, like Starlink 2-1, will likely involve a Falcon 9 booster landing attempt a few hundred miles downrange on drone ship Of Course I Still Love You (OCISLY).
It remains to be seen which Falcon booster is assigned to the launch or if SpaceX will static fire it several days before.
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
