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SpaceX’s Starlink internet constellation deemed ‘a license to print money’
According to a draft paper written by networking researcher and professor Mark Handley, SpaceX’s Starlink internet satellite constellation has the potential to significantly disrupt the global networking economy and infrastructure and do so with as little as a third of the initial proposal’s 4425 satellites in orbit.
A step or so further, Dr. Handley (according to a University College London colleague) suspects that a network like that proposed by SpaceX could rapidly become “a license to print money” thanks to the tangible benefits it would provide financial institutions and banks – as of today, shaving mere milliseconds off of communications latency can be a serious competitive advantage for traders.
The three LEO constellation planes (not including the seven thousand VLEO in the latest filing) pic.twitter.com/btX0pLQAzc
— Andrew Moore (@awm22) September 25, 2018
Asked to condense his argument into a few sentences, Dr. Handley’s colleague (Reddit /u/davoloid) described his excitement as such.
A Professor in Computer Science [Mark Handley] who specializes in how networks work has done a simulation of Starlink based on the available information. It will make long distance links very fast, as in, a short delay in sending a message, which we call latency. That’s very important to banks and similar companies, who always want to have the fastest information. They pay a lot of money to create networks, often private ones rather than through regular commercial providers. Even with the first phase of 1600 satellites, there will be big revenues for SpaceX.” – Reddit /u/davoloid, 11/2/18
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- SpaceX’s first two Starlink prototype satellites are pictured here before their inaugural launch, showing off a thoroughly utilitarian bus and several advanced components. (SpaceX)
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- A beautiful string of Iridium NEXT satellites deployed into the sunrise. (SpaceX)
Judging from the recent past of a practice known as High-Frequency Trading (HFT), where algorithms take over trading in financial markets and operate at speeds on the order of trades per millisecond, the highly volatile industry has already reached its conclusion. This is to say that HFT went from a wildly disruptive and lucrative technological advantage to a fundamental part of the world’s ever-changing financial infrastructure in just a few decades.
“The story about [HFT] is done. It’s a mature industry now, as much an embedded feature of our society as mutual funds or the income tax.” – Tim Worstall, 2017
“HFTs are still involved in the speed race and sometimes even race to pick off their market maker brethren. While it may be more expensive and more competitive today for HFT to pick off the slow traders, make no mistake, they have not gone away.” – Themis Trading, 2018
Much like electricity, the internet, and railroads went from kings of profit to marginal and tedious enterprises, it seems that HFT has gone from a nascent and fickle technology to a basic component of global infrastructure. As such, it is in no way, shape, or form “dead”. Just like step-change advancements in technology have forced service-based companies to upgrade or die, it seems that the availability of Starlink (or any comparable interconnected internet constellation) will create a massive imbalance between financial institutions that adopt early and those that do not or cannot.
If that ends up being the case, there will undoubtedly be an extraordinary surge in competitive financial infrastructure investment, with institutions desperately pursuing new ways to remain competitive (leveling the playing field vs. a shortcut to the front). Dr. Handley’s draft paper, accompanying video, and colleague’s clear excitement about the possibilities demonstrate (at least theoretically) that even just the first third (37%) of SpaceX’s preliminary 4425 satellite Starlink constellation would exhibit dramatic latency improvements between most conceivable access points.
The first step’s first step
With all 4425 satellites in place, the benefits approach or even surpass theoretical best-case statistics for literal straight-line fiber optic cables. Of course, SpaceX’s true proposal includes yet another 7520 very low Earth orbit (VLEO) Starlink satellites (~350 km) that would more than double the bandwidth available while potentially cutting another huge chunk out of the already unsurpassable latency performance of LEO Starlink (~1100-1300 km).
Of course, a massive amount of work remains before SpaceX before any of the above futures can or are even technically able to come to fruition. Aside from regulatory difficulties and concerns about space debris from a potential ~12,000+ new satellites, SpaceX will have to go one or even two magnitudes beyond what the status quo of satellite manufacturing believes is achievable, mass producing and launching satellites in volumes that will dwarf anything undertaken in the history of spaceflight. Still, if anyone is going to accomplish such an extraordinary feat, one would be hard-pressed to find a better bet than SpaceX.
Watch an animation of Starlink created by Dr. Mark Handley here.
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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
