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SpaceX Starlink satellite internet tested in the field in Antarctica
SpaceX’s Starlink internet continues to find success in Antarctica, Earth’s icy southernmost continent and has spread beyond McMurdo Station.
The company first reported that Starlink reached Antarctica as part of a National Science Foundation experiment in September 2022. The milestone also marked the satellite internet network’s arrival on all seven continents.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
A series of lasers
Just ~5% of the almost 3400 working Starlink satellites currently in orbit make coverage of Antarctica (and the Arctic) possible. SpaceX currently has 181 polar-orbiting satellites in operational orbits, likely providing a decent amount of coverage in polar regions. But that’s only a third of the 520 polar satellites SpaceX’s Starlink Gen1 constellation will have once complete, meaning that coverage is likely intermittent for the time being.
Those polar satellites must also use optical interlinks (lasers) to connect Antarctic users to ground stations hundreds or thousands of miles away, as the vast and sparsely populated continent has no Starlink ground stations. Instead, users are connected to the internet via space lasers that route their communications to and from ground stations in South America, Australia, New Zealand, and other nearby locales.
Studying the oldest ice on Earth
The general purpose of the Center for Oldest Ice Exploration (COLDEX) field experiment Starlink is aiding is to find the oldest ice on Earth. That old ice allows scientists to peer back tens of thousands, hundreds of thousands, or even millions of years back into Earth’s past. Most importantly for the modern era, that ice can contain shockingly detailed information about the history of Earth’s climate.
Researchers like Dr. Neff collect ice cores by drilling miles into Antarctic ice sheets. Once removed, packaged, and carefully shipped by plane to labs around the world, the data extracted from those ice cores can tell researchers how the Earth has responded in the past to major and minor changes in climate. Knowing how it has responded and behaved before has helped scientists around the world determine with near certainty that human greenhouse gas emissions are causing average global temperatures to increase at a relatively rapid pace. Further studies, like those being done now, may help specify what kind of changes we can expect as climates warm; allowing cities, countries, and humanity as a whole to prepare for the worst while (hopefully) trying to prevent those outcomes.
COLDEX began testing Starlink in the field in early December 2022. It’s not entirely clear if that testing is still ongoing, but Dr. Peter Neff appears to be optimistic either way. In a January 21st tweet, the assistant professor and field research director said that he was excited “to see how [Starlink] & other modes of high-speed connectivity can advance [science] communication [and]…alter how we do science on the ice.”
Finding a balance
The National Science Foundation has been a part of both Antarctic Starlink experiments, thus far, and finds itself in a unique position. Through funding and other means, the government agency is aiding efforts to test the limits of the SpaceX network and discover how it can benefit science (and improve life) in some of the harshest environments on Earth. Simultaneously, NSF holds a sort of supervisory role over other aspects of SpaceX’s Starlink constellation.
For the most part, that relationship is on an even keel and SpaceX has been highly forthcoming and happy to cooperate. Even without any explicit legal requirement, SpaceX has made wide-reaching changes to its satellites and continues to experiment with ways to reduce their brightness to ground observers and limit their impact on astronomy. Nonetheless, the FCC’s decision to tie SpaceX’s next-generation Starlink Gen2 constellation license with its cooperation with the NSF has given the latter agency a bit more regulatory power than it had before.
That arguably makes the involvement of the NSF (or NSF-funded researchers) in testing Starlink’s ability to benefit science even more important. Knowing firsthand how impactful the ability to access high-bandwidth internet can be in the field and at remote camps, the NSF should be better suited to make the kind of cost-benefit analyses required to determine how much of an impact (on the night sky and astronomy) is acceptable relative to the benefits Starlink can provide.
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
