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SpaceX VP says Starlink is almost ready to revolutionize in-flight internet
Speaking on a panel at an aviation conference, a senior SpaceX sales executive says that the company is in talks with “several…airlines” to provide in-flight internet to passengers with its Starlink satellite constellation.
Unlike all current in-flight connectivity (IFC) providers, which rely on a handful of satellites in geostationary orbits ~36,000 km (~22,500 mi) above the Earth, SpaceX’s Starlink constellation is currently made up of ~1600 spacecraft just 550 km (340 mi) up – known as low Earth orbit (LEO). Aside from guaranteeing that any uncontrolled spacecraft or debris reenter in just a few years instead of millennia, Starlink’s home in LEO also means that the network can offer far superior latency (also known as ping).
Being more than 50 times closer to the Earth’s surface also makes it much easier for SpaceX to deliver far more bandwidth to a single vehicle. In simple terms, once the Starlink network is decently reliable and its aviation-optimized ‘conformal’ antennas have been refined, qualified, and certified by the FCC and FAA, conditions could quickly become very uncomfortable for incumbents like Gogo and Viasat.
Perhaps not so coincidentally, Gogo’s stock price dropped more than 11% after The Verge’s Joey Roulette first reported on SpaceX’s IFC comments. Closing in on annual revenue close to $1B before the coronavirus pandemic took a sledgehammer to commercial airline travel, Gogo has dominated the western in-flight internet market for about as long as it’s existed. Unfortunately, COVID-19 has not been kind to the IFC industry and Gogo sold off its in-flight internet business to Intelsat – ironically in the midst of bankruptcy proceedings – in late 2020.
For the handful of ailing IFC providers responsible for most in-flight internet services, the arrival of a new competitor – let alone one as promising as Starlink – could scarcely be less welcome. Starlink competitor OneWeb also plans to offer IFC services as early as mid-2022 but the company has been so slow to deploy its already small ~650-satellite constellation that it’s unclear when it will actually be ready to support a significant presence in satellite internet markets.
Starlink, on the other hand, already has more than a thousand operational satellites in orbit, tens of thousands of fixed beta customers actively using the network, and multiple demonstrations of in-flight operations already complete. Notably, while testing just 60 Starlink v0.9 satellite prototypes, SpaceX successfully delivered bandwidth of more than 600 Mbps to a single military aircraft in flight. In comparison, the most cutting-edge Gogo terminal currently promises “speeds of 70+ Mbps” – an order of magnitude less bandwidth saddled with massive latency constraints.
With Starlink’s performance, hundreds of passengers on a single plane could simultaneously stream videos, whereas modern IFC almost invariably prevents even a single paying passenger from streaming video of any kind. Additionally, thanks to the network’s far lower latency, aircraft with Starlink WiFi could feasibly allow passengers to teleconference, make video calls, and even play latency-sensitive multiplayer games while in flight (though whether passengers should be allowed to do so is, of course, a different story).
It remains to be seen when SpaceX might be ready (and certified) to begin connecting commercial airlines to its Starlink network. However, the company has been working on “aeronautical terminals” for more than 16 months and has the distinct benefit of controlling all aspects of its vertically integrated constellation – which is to say that Starlink could be ready for IFC markets far sooner than later.
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
