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SpaceX confirms Starlink launch plans hours before Thursday liftoff
Update: Waiting longer than it ever has before, SpaceX finally confirmed it will attempt to launch Starlink 4-3 less than seven hours before the mission’s planned 6:12 pm EST (23:12 UTC), December 2nd liftoff. SpaceX has yet to publish any additional details or webcast links for the launch but should (in theory) do so within the next few hours.
SpaceX has raised Falcon 9 vertical for a record-breaking Starlink and rideshare mission known as Starlink Group 4 Launch 3 (4-3).
According to Spaceflight Now, Falcon 9 rolled out to SpaceX’s Cape Canaveral LC-40 launch pad and was expected to perform a static fire test as early as Monday, November 29th, briefly firing up the mystery flight-proven booster’s nine Merlin 1D engines to verify the rocket’s health. As of early Wednesday, that static fire has yet to happen, leaving SpaceX just ~36 hours to test the rocket before its current 5:57 pm EST (22:57 UTC), December 2nd launch target.
Despite its name, Starlink 4-3 will be SpaceX’s second Group 4 launch and is scheduled to deliver another 50-52 laser-linked Starlink V1.5 satellites to low Earth orbit. Normally, Starlink 4-3 would be carrying 53 Starlink satellites but SpaceX will instead swap out two or three Starlink satellites for two rideshare payloads from Earth observation company Blacksky.
Starlink 4-3 will be SpaceX’s fifth Starlink rideshare mission and second with Earth imaging satellites from Blacksky after Starlink V1 L9’s successful August 2020 launch. Each weighing around 60 kg (130 lb), Blacksky’s small ‘Gen2’ satellites are designed to capture images of Earth at resolutions of up to 0.9 meters per pixel. If successful, the launch will raise the number of operational Blacksky satellites in orbit from 8 to 10. Another two launches are expected to occur in the next two months for a total of 14 satellites.
Like past Starlink rideshares, SpaceX will likely launch Falcon 9 to a slightly higher orbit than usual – tailored to each customer’s needs. For SXRS-2, Spaceflight says Falcon 9 will deploy all Starlink and rideshare payloads in a (likely circular) 430 km (270 mi) low Earth orbit. In comparison, Falcon 9 deployed Starlink 4-1 in an orbit roughly 340 by 220 km.
For SpaceX, Starlink 4-3 will set at least two major spaceflight records. First, if all goes well, it will be SpaceX’s 27th launch of 2021 – a new record for annual launch cadence. Though CEO Elon Musk originally hoped for 40-48 launches this year, it appears that SpaceX will still manage around 29-31 by the end of December. However, if SpaceX managed to excise the apparent Starlink production gremlins that partly caused its launch cadence to plummet from 20 missions in the first half of 2021 to ~10 in the second half, 2022 could potentially meet Musk’s 2021 expectations.
Additionally, as pointed out by a Teslarati reader, Starlink 4-3 could also see Falcon 9 become the first American rocket in history to successfully complete more than 100 orbital launches in a row, narrowly beating out McDonnell Douglas’ retired Delta II rocket for the title. Earlier this year, many outlets already reported that SpaceX’s May 26th Starlink-28 launch was its 100th consecutive launch. While true in a very literal sense, it ignores SpaceX’s infamous Amos-6 Falcon 9 failure, which occurred well before liftoff but still destroyed both the rocket and payload. Following NASA’s DART mission earlier this month, which was Falcon 9’s unequivocal 100th launch success, Starlink 4-3 will be Falcon 9’s 101st orbital launch since Amos-6.
Only Russia’s R-7 (Soyuz) rockets – the most-launched rocket family in history – have successfully launched more times in a row. Since 1966, Soyuz rockets have launched more than 1900 times and the family has repeatedly completed 100 consecutively successful launches over its decades of operation. Eleven years after its debut, Falcon 9 currently stands at 127 fully successful launches – a lifetime away from matching Soyuz but still well on its way to a thoroughly impressive second place.
Stay tuned for official confirmation from SpaceX of Starlink 4-3’s pending static fire and December 2nd launch date.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
