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SpaceX unveils next-gen Starlink V2 Mini satellites ahead of Monday launch
SpaceX has released official specifications and photos of its next-generation Starlink V2 Mini satellites, which are set to launch for the first time as early as Monday, February 27th.
The new satellites are the future of SpaceX’s Starlink constellation, and the information the company revealed helps demonstrate why.
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
SpaceX’s confusingly-named Starlink 6-1 mission will carry the first 21 Starlink V2 satellites into low Earth orbit (LEO) as early as 1:38 pm EST (18:38 UTC) on Monday, February 27th. The satellites will operate under SpaceX’s Starlink Gen2 FCC license, which currently allows the company to launch up to 7,500 of a nominal 29,998 satellites. At the same time as it continues to fill out its smaller 4,408-satellite Starlink Gen1 constellation with smaller V1.5 satellites, SpaceX has already begun launching the same smaller V1.5 satellites under the Gen2 license.
Eventually, those smaller and less capable satellites will likely be replaced with larger V2 satellites, but SpaceX appears to have decided that quickly adding suboptimal capacity is better than waiting for an optimal solution. In theory, that optimal solution is larger Starlink V2 satellites. As discussed in a previous FCC filing, SpaceX intends to operate up to three different types of Starlink satellites in its Starlink Gen2 constellation. The first variant is likely identical to the roughly 305-kilogram (~673 lb) Starlink V1.5 satellites that make up most of its Starlink Gen1 constellation.
Meanwhile, SpaceX has already built and delivered dozens of full-size Starlink V2 satellites to Starbase, Texas. Those more optimal spacecraft reportedly weigh anywhere from 1.25-2 tons (2750-4400 lb) each, offer almost 10 times more bandwidth than V1.5 satellites, and are so large and ungainly that they can only be launched by SpaceX’s next-generation Starship rocket. Starship is substantially delayed, however, so SpaceX chose to develop a third Starlink satellite variant combining many of the full-size V2 benefits into a package that can be launched by SpaceX’s existing Falcon 9 rocket.
Prior to SpaceX’s February 26th tweets, all that was known about those Starlink “V2 Mini” satellites were a few specifications included in a response to the FCC. The new information provided by SpaceX appears to confirm some of those specifications. For example, knowing that Falcon 9 will carry 21 V2 Mini satellites and that the rocket’s current payload record is 17.4 tons, each V2 Mini satellite likely weighs no more than 830 kilograms (~1830 lb). That’s very close to the 800-kilogram estimate provided in the October 2022 filing.
More importantly, SpaceX revealed that each Starlink V2 Mini satellite will have more powerful antennas and access to a new set of frequencies. Combined, each satellite will have up to “~4x more capacity…than earlier iterations” like Starlink V1. Compared to current V1.5 satellites, that means that Starlink V2 Mini could squeeze approximately 50% more network capacity out of each unit of satellite mass. As a result, even though the larger V2 Mini design has reduced the number of satellites Falcon 9 can launch almost threefold, the 21 V2 Mini satellites it can launch will add ~50% more bandwidth than the ~57 V1.5 satellites it would have otherwise launched.
The larger satellites mean that it will take three times as many Falcon 9 launches to expand Starlink V2 coverage, but the areas that are covered will have the capacity to serve several times more customers or deliver much higher bandwidth to the same number of customers.
SpaceX also announced that it has developed a new argon-fueled Hall effect thruster for Starlink V2 satellites. To avoid the high costs of xenon propellant, the most common choice of fuel for electric propulsion systems, SpaceX already developed a first-of-its-kind krypton Hall effect thruster for Starlink V1 and V1.5 satellites. Spread over the almost 4000 Starlink V1.x satellites SpaceX has launched since May 2019, the relatively low cost of krypton (roughly $500-1500/kg vs. $3000-10,000+/kg for xenon) has likely saved the company hundreds of millions of dollars.
The shift from krypton to argon could be similarly beneficial. Relative to krypton, the argon required to fuel Starlink V2 satellites will be practically free. 99.999%-pure argon can be purchased in low volumes for just $5 to $17 per kilogram, and each Starlink V2 Mini satellite will likely need less than 80 kilograms. SpaceX likely spent around $50 million (+/- $25M) on krypton for the almost 4000 Starlink V1 satellites it’s launched to date. As a result, even if every Starlink V2 satellite needs an excessive 200 kilograms of argon, fueling its next constellation of almost 30,000 V2 satellites could cost SpaceX less than fueling 4000 V1 satellites.
Tune in below around 1:30 pm EST (18:30 UTC) to watch SpaceX’s first Starlink V2 launch live.
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
