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SpaceX to close out February with Starlink launches on Monday and Friday [updated]
Update: SpaceX has delayed Starlink 4-8 from February 20th to no earlier than (NET) 9:44 am EST (14:44 UTC), Monday, February 21st in the hopes of better “recovery weather.” The mission will be Falcon 9 booster B1058’s 11th launch overall and second launch in less than 40 days.
Up next, Starlink 4-11 – SpaceX’s second West Coast launch this year – is now firmly scheduled to lift off around 7:30-8 am PST (15:30-16:00 UTC) on Friday, February 25th from Vandenberg Space Force Base (VSFB). Finally, launch photographer Ben Cooper reports that a third Starlink mission – likely Starlink 4-9 – is scheduled to launch from Kennedy Space Center Pad 39A as soon as March 3rd. SpaceX has at least one more Starlink mission and a private astronaut launch tentatively scheduled for March.
Continuing the company’s busiest planned year yet, SpaceX has dispatched a drone ship for the first of two more Falcon 9 Starlink launches scheduled before the end of the month.
While there were signs a few weeks ago that SpaceX had as many as four Starlink launches planned this month, that appears to have shrunk to three. In theory, SpaceX could have finished refurbishing both of its East Coast launch pads – LC-40 and LC-39A – earlier this week after supporting launches on January 31st and February 3rd. SpaceX may be taking an extra week to better understand a space weather anomaly that recently destroyed more than three-dozen Starlink satellites, to conduct deeper pad maintenance, to refurbish well-worn Falcon rockets, or to simply give its launch workforce a bit of respite but either way, the company’s next Falcon 9 launch appears to be scheduled no earlier than (NET) 9:54 am EST (14:54 UTC), Sunday, February 20th.
Drone ship A Shortfall Of Gravitas (ASOG) departed Port Canaveral on February 16th and is headed about 636 kilometers (395 mi) downrange to support Starlink 4-8’s Falcon 9 booster landing. The mission will be the new drone ship’s fourth consecutive recovery – an unintentional situation that was forced upon it when drone ship Just Read The Instructions (JRTI) suffered damage during SpaceX’s last booster recovery of 2021. On top of almost sliding off the deck, Falcon 9 booster B1069 suffered significant damage to most or all of its nine Merlin 1D engines when JRTI’s ‘Octagrabber’ robot effectively dropped the booster on its head during recovery operations.
Only through the heroics of the human recovery crew was B1069 able to be secured to drone ship JRTI’s deck and returned to dry land in (more or less) one piece. Based on new aerial images from local photographer Julia Bergeron, it appears that JRTI did require deck repairs after the ordeal. Equally importantly, the ship’s Octagrabber robot – which took the brunt of B1069’s fall – appears to have been fully repaired and was being tested on deck as of February 15th. Oddly, though drone ship ASOG has done an excellent job filling in, SpaceX has yet to have a fully nominal booster recovery since B1069’s anomaly.
With any luck, that will end later this month and the company’s three Octagrabbers will restart routine recovery operations. Following Starlink 4-8’s launch from Cape Canaveral, SpaceX has plans for at least one more Starlink mission – this time from the West Coast. SpaceX last launched from its Vandenberg SLC-4E pad on February 2nd and set a record turnaround time of 24 days late last year, implying that the Starlink mission is likely scheduled within the last few days of February.
If successful, SpaceX will have launched eight times in the first two months of 2022 and 13 times in the last three months, demonstrating a cadence of up to 48-52 launches per year if the company can sustain the pace. SpaceX’s official goal for 2022 is 52 Falcon launches.
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
