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SpaceX reveals new Starlink satellite details 24 hours from launch
Less than 24 hours before SpaceX’s first dedicated Starlink mission is scheduled to lift off, the company revealed a handful of new details about the design of the 60 satellites cocooned inside Falcon 9’s fairing.
The Falcon 9 booster assigned to launch the Starlink v0.9 mission – B1049 – has already flown twice before in September 2018 and January 2019 and will likely take part in many additional launches prior to retirement. In support of B1049’s hopeful future, drone ship Of Course I Still Love You (OCISLY) arrived at its recovery location on May 13th, an impressive 620 km (385 mi) downrange relative to the launch’s low target orbit (440 km, 270 mi).
(Extra) smallsats
The combination of a distant booster recovery and a low target orbit can only mean one thing: the Starlink v0.9’s satellite payload is extremely heavy. As it just so happens, that is exactly the case per details included in SpaceX’s official press kit (PDF).
“With a flat-panel design featuring multiple high-throughput antennas and a single solar array, each Starlink satellite weighs approximately 227kg, allowing SpaceX to maximize mass production and take full advantage of Falcon 9’s launch capabilities. To adjust position on orbit, maintain intended altitude, and deorbit, Starlink satellites feature Hall thrusters powered by krypton. Designed and built upon the heritage of Dragon, each spacecraft is equipped with a Startracker navigation system that allows SpaceX to point the satellites with precision. Importantly, Starlink satellites are capable of tracking on-orbit debris and autonomously avoiding collisions. Additionally, 95 percent of all components of this design will quickly burn [up] in Earth’s atmosphere at the end of each satellite’s lifecycle—exceeding all current safety standards—with future iterative designs moving to complete disintegration.”
First and foremost, an individual satellite mass of around 227 kg (500 lb) is an impressive achievement, nearly halving the mass of the Tintin A/B prototypes SpaceX launched back in February 2018. For context, OneWeb’s essentially finalized satellite design weighs ~150 kg (330 lb) each and relies on a ~1050 kg (2310 lb) adapter capable of carrying ~30 satellites. Accounting for the adapter, that translates to ~180 kg (400 lb) per OneWeb satellite, around 25% lighter than Starlink v0.9 spacecraft.
However, assuming SpaceX has effectively achieved its desired per-satellite throughput of ~20 gigabits per second (Gbps), Starlink v0.9 could provide more than twice the performance of OneWeb’s satellites (PDF). These are still development satellites, however, and don’t carry the laser interlinks that will be standard on the all future spacecraft, likely increasing their mass an additional ~10%.
Despite the technical unknowns, it can be definitively concluded that SpaceX’s Starlink satellite form factor and packing efficiency are far ahead of anything comparable. Relative to the rockets it competes with, Falcon 9’s fairing is actually on the smaller side, but SpaceX has still managed to fit an incredible 60 fairly high-performance spacecraft inside it with plenty of room to spare. Additionally, SpaceX CEO Elon Musk says that these “flat-panel” Starlink satellites have no real adapter or dispenser, relying instead on their own structure to support the full stack. How each satellite will deploy on orbit is to be determined but it will likely be no less unorthodox than their integrated Borg cube-esque appearance.
That efficiency also means that the Starlink v0.9 is massive. At ~227 kg per satellite, the minimum mass is about 13,800 kg (30,400 lb), easily making it the heaviest payload SpaceX has ever attempted to launch. It’s difficult to exaggerate how ambitious a start this is for the company’s internal satellite development program – Starlink has gone from two rough prototypes to 60 satellites and one of the heaviest communications satellite payloads ever in less than a year and a half.
[Insert Kryptonite joke here]
Beyond their lightweight and space-efficient flat-panel design, the next most notable feature of SpaceX’s Starlink v0.9 satellites is their propulsion system of choice. Not only has SpaceX designed, built, tested, and qualified its own Hall Effect thrusters (HETs) for Starlink, but it has based those thrusters on krypton instead of industry-standard xenon gas propellant.
Based on a cursory review of academic and industry research into the technology, krypton-based Hall effect thrusters can beat xenon’s ISP (chemical efficiency) by 10-15% but produce 15-25% less thrust per a given power input. Additionally, krypton thrusters are also 15-25% less efficient than xenon thrusters, meaning that krypton generally requires significantly more power to match xenon’s thrust. However, the likeliest explanation for SpaceX’s choice of krypton over less exotic options is simple: firm prices are hard to come by for such rare noble gases, but krypton costs at least 5-10 times less than xenon for a given mass.
At the costs SpaceX is targeting ($500k-$1M per satellite), the price of propellant alone (say 25-50 kg) could be a major barrier to satellite affordability – 50 kg of xenon costs at least $100,000, while 50 kg of krypton is more like $10,000-25,000. The more propellant each Starlink satellite can carry, the longer each spacecraft can safely operate, another way to lower the lifetime cost of a satellite megaconstellation.
SpaceX’s dedicated Starlink launch debut is set to lift off no earlier than 10:30pm EDT (02:30 UTC), May 15th. This is not a webcast you want to miss!
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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
