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SpaceX president teases Starship’s game-changing Starlink launch capabilities
SpaceX President and COO Gwynne Shotwell teased new information detailing the wealth of benefits that the next-generation Starship launch vehicle could bring for the deployment of the company’s Starlink internet satellite constellation.
Speaking at the Baron 2019 Investment Conference on October 25th, the SpaceX executive touched on a broad range of topics according to CNBC reporter Michael Sheetz. Baron did webcast most of the conference’s main events, of which all but Shotwell’s have been archived, but it looks like CNBC may have been the only media outlet given access in an official capacity.
Regardless, based on their reporting on Shotwell’s dialogue with Baron Funds CEO/CIO Ron Baron, the SpaceX executive was unprecedentedly candid and was more than happy to voice direct criticism of competitors like OneWeb, ULA, and Blue Origin.
Beyond Shotwell’s clear confidence that Starlink’s satellite technology is far beyond OneWeb and years ahead of Amazon’s Project Kuiper clone, she also touched on yet another strength: SpaceX’s very own vertically-integrated launch systems. OneWeb plans to launch the vast majority of its Phase 1 constellation on Arianespace’s commercial Soyuz rockets, with the launch contract alone expected to cost more than $1B for ~700 satellites.
SpaceX, on the other hand, owns, builds, and operates its own rocket factory and high-performance orbital launch vehicles and is the only company on Earth to have successfully fielded reusable rockets. In short, although Starlink’s voracious need for launch capacity will undoubtedly require some major direct investments, a large portion of SpaceX’s Starlink launch costs can be perceived as little more than the cost of propellant, work-hours, and recovery fleet operations. Boosters (and hopefully fairings) can be reused ad nauseum and so long as SpaceX sticks to its promise to put customer missions first, the practical opportunity cost of each Starlink launch should be close to zero.
In a perfect scenario, the only material cost of Starlink launches should be the satellites themselves and each expendable Falcon upper stage, which SpaceX has no plans to recover. Speaking prior to Starlink’s 60-satellite “v0.9” launch debut, SpaceX CEO Elon Musk stated that each prototype spacecraft ended up costing more to launch than to build, despite the fact that their first launch flew on a twice-flown Falcon 9 booster.
In fewer words, Musk thus implied that each Starlink satellite likely already costs significantly less than $500,000 even before SpaceX has begun to reap the full benefits of economies of scale. In fact, based on official 2016 figures that estimated the cost of each BFR booster/ship at less than $4M and Musk’s estimate that Starship could cut Starlink launch costs by a factor of 5, the cost of Starlink v0.9 production could have actually been as low as ~$350,000 apiece, with launch costs on the order of ~$20M.
Speaking a little over five months after Musk, Shotwell revealed that a single Starship-Super Heavy launch should be able to place at least 400 Starlink satellites in orbit – a combined payload mass of ~120 metric tons (265,000 lb). Even if the cost of a Starship launch remained identical to Starlink v0.9’s flight-proven Falcon 9, packing almost seven times as many Starlink satellites would singlehandedly cut the relative cost of launch per satellite by more than the 5X figure Musk noted.
In light of this new figure of 400 satellites per individual Starship launch, it’s far easier to understand why SpaceX took the otherwise ludicrous step of reserving space for tens of thousands more Starlink satellites. Even if SpaceX arrives at a worst-case-scenario and is only able to launch Starship-Super Heavy once every 4-8 weeks for the first several years, that could translate to 2400-4800 Starlink satellites placed in orbit every year. Given that 120 tons to LEO is well within Starship’s theoretical capabilities without orbital refueling, it’s entirely possible that Starship could surpass Falcon 9’s Starlink mass-to-orbit almost immediately after it completes its first orbital launch and recovery: a single Starship launch would be equivalent to almost 7 Falcon 9 missions.
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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
