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SpaceX Starlink internet approved in Canada, beta invites imminent
SpaceX’s Starlink satellite internet has officially won regulatory approval in Canada and CEO Elon Musk says that the first beta invites will begin to be sent out a matter of days from now.
Known as Innovation, Science and Economic Development Canada (ISED), the decision was made well before most – including Musk himself – expected it, suggesting that the Canadian agency may have been responding to growing consumer enthusiasm and interest in Starlink internet. Since SpaceX began shipping Starlink user terminals to US beta testers less than two weeks ago, rural Americans have quickly come to heap praise on the new technology – warts and all.
Transparently deemed the “Better Than Nothing Beta” by SpaceX itself, the user-side hardware is still in its infancy and the satellite constellation is far smaller than optimal, resulting in the occasional dropped connection and inconsistent speeds and latency. Nevertheless, the service SpaceX has managed to deliver before anyone else appears to be extremely promising and is now poised to expand beyond the United States for the first time.
In the Northern US, particularly Montana, new Starlink beta users have already begun to demonstrate that the cutting-edge technology is impressively resilient in the face of extreme weather. Thus far, users have already shown their Starlink antennas happily chugging along in blizzard conditions – covered in snow, icicles hanging off – without significantly disrupting the quality of the internet they are delivering.
Canada will likely serve as an additional torture test for the Starlink antennas and services sent that way, although the far north will have to wait for the time being. At the moment, according to email correspondence between SpaceQ and Elon Musk, Starlink’s Canadian foray will be significantly limited at first. To understand why, one must first understand how Starlink works.
At the moment, each orbiting Starlink satellite services as a separate node in the network, only capable of communicating with user terminals (antennas) on the ground or more substantial SpaceX-operated hubs known as ground stations. Those ground stations are the backbone of the internet service, linking the orbiting network to the rest of the Earth-based internet. To connect end-users, a satellite orbiting over head will connect to their user terminal, receive uplink requests (clicking on a link, watching a video), route those requests through a separate beam to a ground station, which then beams that content back to the Starlink satellite before being beamed down to the end-user.
Without those ground stations, Starlink is (somewhat) akin to a home network WiFi router without a cable modem. Unfortunately for SpaceX, radiocommunication hardware installation is often strictly regulated and the process is almost always unique and non-transferable in every country on Earth. As such, even with approval to serve Starlink internet in Canada, SpaceX still has to wait for individual approvals for each ground station, of which one or several dozen are necessary. Until those ground stations are approved, Starlink will only be available to Canadians below the 55th parallel, give or take.
On top of ground stations, SpaceX will also need to launch many, many more batches of Starlink satellites to be able to offer reliable and uninterrupted internet in most of the northern hemisphere (and the rest of the world). Nevertheless, with nearly 900 operational Starlink satellites launched less than a year after the first operational mission, it’s difficult to doubt that SpaceX will make it happen – and far sooner than most would reasonably expect.
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
