News
Starlink competitor Xfinity launches data caps, which SpaceX says it will not use
SpaceX’s Starlink project has a series of main competitors in the internet market, one of the largest being Comcast’s Xfinity. The Philadelphia-based Comcast recently announced that twelve U.S. states would be subjected to data caps in 2021, or limits on the amount of data one household will have access to before being charged extra fees. Statements from the company have described anything over 1.2 terabytes of data usage accessible with additional fees of $10 per extra 50 GB.
The extra charges for additional data usage are somewhat staggering, considering many households’ current economic situation and the fact that local governments are advising many residents to remain indoors due to the COVID-19 pandemic. This leaves many people at home for work and leisure, with the internet being one of the few constants that remain in everyday life. While cellular devices are usually connected to residential Wi-Fi, other devices, such as smart TVs and streaming devices, are constantly connected to at-home networks, leaving the amount of data being used on a constant rise.
But surprisingly, this fact is not recognized by Comcast, nor is it stopping them from implementing the data caps in the states of Connecticut, Delaware, Massachusetts, Maryland, Maine, New Hampshire, New Jersey, New York, Pennsylvania, Virginia, Vermont, West Virginia, and the District of Columbia, as well as parts of North Carolina and Ohio, The Verge originally reported.
Comcast to impose home internet data cap of 1.2TB in more than a dozen US states next year https://t.co/nsQqyixDH2 pic.twitter.com/rv0XVeqKsb
— The Verge (@verge) November 24, 2020
In fact, it could be a way to combat customers from leaving Comcast’s television subscription services in favor of more affordable and flexible streaming options that are offered by platforms like Hulu and YouTube. The streaming services operate through a streaming device, like an Apple TV or Roku device, and use data to operate. This all contributes to a house’s data usage, and because of its ability to broadcast live television programs, it will use a substantial amount of internet data over the course of the month.
Comcast says that its average customer uses 308GB per month and that 95 percent of its customers do not get close to using the 1.2 TB threshold. But no statistic measures the data used in homes with more than one internet user or outlines the number of devices used in a home. With more people teleworking and having to rely on the home internet for productivity, the data usage is likely higher than normal.
All of these scenarios bode well for Elon Musk’s Starlink internet satellite program, which is currently operating in the Beta stage. Interestingly, Starlink Engineers performed an Ask Me Anything session on the r/Starlink subreddit and revealed that the satellite internet infrastructure would not use data caps when it enters public operation. The company intends to keep the service free of caps and added that it would only be implemented if technically necessary.
The company wrote:
“So we really don’t want to implement restrictive data caps like people have encountered with satellite internet in the past. Right now we’re still trying to figure a lot of stuff out–we might have to do something in the future to prevent abuse and just ensure that everyone else gets quality service.”
SpaceX’s intention with Starlink was to provide internet service to rural and remote areas. But now that the service is being launched and tested in high population areas like Los Angeles, it is obvious that Starlink will aim to serve every human being on Earth. As long as data caps continue to remain out of Starlink’s plans, there is a good chance that many customers of large Internet Service Providers will switch over to the more affordable and more forgiving Starlink service.
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
