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SpaceX has all the Starlink funding needed for an “operational constellation”
Upper-level wind shear has unfortunately scrubbed SpaceX’s first dedicated Starlink launch attempt, pushing Falcon 9 B1049’s third liftoff to no earlier than 10:30 pm EDT (02:30 UTC), May 16th.
A few hours prior to the launch attempt, SpaceX CEO Elon Musk hosted a conference call with members of the press and answered a number of questions about Starlink, providing the best look yet into the company’s newest endeavor. Topics included the advanced technologies on each Starlink satellite, their extremely unorthodox deployment method, SpaceX’s ultimate goals for the constellation, and even a few brief comments on funding.
Funding, secured
Perhaps the single most important thing Musk noted in the hour-long media briefing was his belief that SpaceX already has “sufficient capital to build an operational constellation.” It’s possible that that statement is heavily qualified, as Musk did not delve into greater detail, but it is still an incredible claim that could mean Starlink is far ahead of competing constellations and far more capital-efficient than OneWeb.
As previously discussed on Teslarati, in the last four years, OneWeb has raised $3.4B of funding, while SpaceX – a company primarily focused on building and launching rockets – has raised $2B, half of which is known to be dedicated to Starlink. OneWeb’s constellation (either 650 or 2650 satellites) cost estimate has grown quite a bit recently and stands at ~$5B. Assuming all $2B of the funding SpaceX has raised is dedicated to Starlink, that would translate to a per-satellite cost – including all infrastructure and launch – of $450,000 for the first phase (~4400 satellites).
Musk’s contextual definition of an “operational constellation” is probably more in line with the twelve 60-satellite launches he described as necessary to provide “significant [broadband] coverage”. It could also refer to the entire tranche of ~1600 Starlink satellites planned for the lower 550 km (340 mi) orbit this first batch of 60 is headed for, a number that Musk stated would offer “decent global coverage”. Either way, Starlink is almost certainly far more capital-efficient than OneWeb, LeoSat, Telesat, or any other satellite constellation with serious intentions.
The most obvious explanation for this – regardless of the satellites themselves – is simple: SpaceX owns its own closed-loop launch capability, including pads, integration facilities, an established cross-country transport network, and the rockets (Falcon) themselves. For any of the proposed satellite constellations to succeed, the manufacturers will almost invariably need to find build satellites so affordably that the cost of launch outweighs the cost of its payload. This ultimately means that launches alone could account for something like 50% of the cost of an entire satellite constellation.
Assuming Block 5 boosters can be reused at least 5-10 times each, the only real cost of an internal SpaceX launch is the hours worked, recovery fleet operations, and the expended upper stage and fairing – likely less than $30M altogether. As such, SpaceX may already be achieving its satellite cost targets on its first launch.
Deploying satellites “like spreading a deck of cards”
Meanwhile, Musk also offered some detail on the deeply unorthodox method SpaceX has chosen for spacecraft deployment once in orbit. Apparently, Starlink satellites will be deployed from Falcon 9’s upper stage by rotating the stage (presumably along its vertical axis) and simply letting go of the spacecraft. Musk used the analogy of spreading a deck of cards on a table, seemingly suggesting that they will either be released simultaneously (perhaps by stack) or with a stagger measured in milliseconds. This could create a fairly spectacular visual, forming an evenly-spaced spiral of satellites spreading out from the Falcon upper stage.
Above all else, Musk mainly seemed to be excited about Starlink, whether discussing the constellation’s long-term goals or the technology utilized on each individual satellite. Some miscellaneous facts and tidbits taken from the Q&A can be found below:
- Aside from Ka-band antennas and inter-satellite laser links, these 60 Starlink spacecraft are very close to the final spacecraft design.
- “It’s one of the hardest engineering projects that I’ve ever seen done.” – Elon Musk
- Starlink v0.9 is SpaceX’s heaviest payload ever by a huge margin, weighing in around 18,500 kg (40,800 lb). Crew Dragon is most likely in second-place, with a launch mass estimated to be around 13,500 kg.
- Combined, the solar arrays on the 60 Starlink spacecraft will produce up to 50% more power than the International Space Station’s football field-sized panels. This translates to ~180 kW, with each spacecraft thus producing around 3 kW total with an unusual single-panel array.
- Two solar array deployment mechanisms will be tested on this mission.
- “We see this as a way to generate revenue to develop more advanced rockets and spaceships. Starlink is a key component for establishing a presence on the moon and Mars.” – Elon Musk
- SpaceX sided with krypton-fueled Hall effect thrusters due to krypton costing 5-10x less than more traditional xenon propellant. SpaceX’s internally-designed and built thrusters will have an ISP of ~1500s.
- “[SpaceX has built] the most advanced phased array antenna[s] that I am aware of.” – Elon Musk
- These first 60 satellites alone will have a combined bandwidth of 1 terabit per second (125 GB/s), averaging around 17 Gbps per satellite.
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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.”
News
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
