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SpaceX VP says Starship is already winning commercial launch contracts

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A SpaceX executive says that the company’s next-generation, fully-reusable Starship rocket has already secured multiple commercial launch contracts.

Set to debut no earlier than (NET) the first quarter of 2022 with a semi-orbital launch that aims to send Starship about 85% of the way around the Earth, Starship has a ways to go before it’s ready to routinely launch payloads. Nonetheless, SpaceX is confident enough in Starship’s eventual success to have effectively made it the foundation of every one of the company’s future goals – both in the short and long term.

Today, SpaceX’s Falcon rockets have become a spectacularly successful revolution in cost-effective launch through reusability and vertical integration, among other things. Thanks to that unprecedented affordability, SpaceX has been able to kick off the deployment of its Starlink internet constellation, launching more than 1800 satellites and becoming the largest satellite operator in history in less than two and a half years. Where competition is possible, Falcon 9 dominates the global commercial launch market for both small and large satellites. And yet despite its staggering success, Falcon 9 remains at least one or two magnitudes too expensive and too performance-constrained to realize SpaceX’s grander ambitions.

Those overarching goals are simple enough and directly related. First, SpaceX – through Starlink – aims to blanket the Earth’s surface with high-quality, affordable satellite internet that is either indistinguishable from or better than ground-based alternatives, ultimately connecting tens or even hundreds of millions of people to the internet. Second, SpaceX’s founding goal has always been to make humanity a multiplanetary species by enabling the creation of one or several permanent, self-sustaining cities on Mars. For the latter goal, Starship or a fully reusable rocket like it has always been essential – without which it would be prohibitively expensive to launch the sheer mass and volume of supplies needed to build a city on another world.

Recently, if SpaceX’s often hyperbolic CEO is to be believed, Starlink’s success has also become dependent on Starship, with Musk stating in a company-wide memo that SpaceX as a whole could face bankruptcy if Starship isn’t ready to launch 200+ Starlink satellites per month by the end of 2022. While it’s simply untrue that SpaceX is at risk of bankruptcy, there might be some truth behind Musk’s statement. Fearmongering aside, the gist of Musk’s argument is that Starlink is “financially weak” under the current paradigm, where Falcon 9 delivers approximately 50 300-kilogram (~650 lb) satellites to orbit with each launch.

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In the same vein as Starship, Musk believes that next-generation “Starlink V2” satellites – several times larger than V1 satellites – will drastically improve the cost-effectiveness of the constellation by allowing SpaceX to squeeze much more network capacity out of every unit of satellite mass. However, making Starlink V2 satellites several times larger would reduce the efficiency of launching them on Falcon 9 by an equal degree – hence the apparently dire need for Starship.

Contrary to Musk’s apocalyptic vision, even if it might be significantly slower and more expensive to deploy, it’s quite likely that a full Starlink V1 constellation launched by Falcon 9 could still be economically viable. What it probably wouldn’t be, though, is exceptionally profitable, which has long been SpaceX’s main plan for funding its multiplanetary dreams. With a Starship capable of achieving its design goals, that could change.

According to Musk and other SpaceX executives, the true cost – before payloads – of a flight-proven Falcon 9 launch is somewhere between $15M and $28M. At an estimated cost of $250-500k apiece, 50-60 Starlink V1 satellites raise the total cost of a Starlink launch to approximately $30-60M – the range between marginal and total cost. In a partially reusable configuration, Falcon 9 is capable of launching about ~16 tons (~35,000 lb) to low Earth orbit (LEO).

Starship, however, is designed to launch at least 100 tons (~220,000 lb) and possibly up to 150 tons (~330,000 lb) to LEO for a marginal cost of as little as $2M. Even if SpaceX is a magnitude off of that target and never gets beyond 100t to LEO, a $20M Starship launch fully loaded with Starlink satellites would still cost five times less than Falcon 9 per unit of satellite mass launched. At 150 tons to LEO for $10M, Starship would cost 15 times less. If SpaceX one day perfects full reusability and marginal costs do fall to $2M, a 150-ton Starship launch could be up to 70 times cheaper than Falcon 9.

For the exact same reasons it could radically improve the cost-efficiency of Starlink deployment and finally make humanity’s expansion beyond Earth affordable enough to be viable, Starship would also inherently revolutionize access to space for all other launch customers – not just SpaceX.

According to SpaceX Vice President of Commercial Sales Tom Ochinero, Starship has already begun to make inroads with SpaceX’s healthy list of existing Falcon customers. While relatively minor and inevitable, it’s still an important symbolic step for SpaceX and Starship as it attempts to deliver a launch vehicle so cheap and capable that it ushers the company’s own Falcon rockets into retirement.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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