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Hyperloop One plans global distribution system to rival Amazon Prime
Speaking to the press at CES 2017, Hyperloop One executives laid out their vision for a new global distribution system that will revolutionize the way goods are delivered to markets worldwide. “Just think of Hyperloop as broadband for transportation,” Rob Lloyd, CEO for Hyperloop One, tells Inverse. “If you think of it as broadband for transportation you suddenly unlock a massive amount of change, and new applications. New thinking,” he added emphatically.
Semi-finalists announced
That “broadband of transportation” took a step toward reality on January 6 when Hyperloop One announced 35 semi-finalists in its Hyperloop One Global Challenge. Announced last May, the Challenge attracted entries from 2,600 teams of engineers and urban planners eager to convince the company that their’s was the perfect location for a Hyperloop demonstration project. One group proposed linking Dubai with Abu Dhabi. Another envisioned a Hyperloop link from Russia to China.
The 35 semi-finalists will present there ideas at three locations later this year — February 28 in New Delhi, April 6 in Washington, D.C., and April 27 in London. Hyperloop One will whittle the list of finalists down to about 6 finalists after those presentations are completed.
Government leaders, including transportation officials from the incoming Trump administration, will be invited to regional presentations. “Our instincts are that the work that we’re doing is going to be extremely well received when the people get into place,” Rob Lloyd says. “I think we’re going to be a very, very important part of the next three or four years in terms of the potential infrastructure that U.S. looks at.”
Feasibility studies will follow, but they are just a one step in the process. “We’re not in the business of doing studies, we’re in the business of looking for hyperloops that can be built,” Rob Lloyd says. “We want to have three routes in production in the next five years.”
Nick Earle, who oversees global field operations for Hyperloop One, tells Inverse, “This is not just about moving things and people quicker. This is [about] the business models that are disrupted — and enabled — by Hyperloop transportation.”
Autonomous cars included
There is another tie-in between Elon Musk — who originally conceived of the Hyperloop idea — and Hyperloop One’s vision. The company foresees autonomous cars — one of Musk’s highest priorities — as being able to travel inside the Hyperloop. “Autonomous cars will actually be able to go inside the Hyperloop. You actually can do door-to-door like never before,” says Nick Earle. That idea came out of a partnership between the company and Dubai’s Road and Transport Authority.
“It’s Amazon Prime on steroids,” Earle says. “You don’t have to use a fleet of airplanes, you don’t have to use warehouses outside of cities to store goods, because you have to truck them in to meet that one hour deadline that’s in the contract for Amazon Prime.”
“Kitty Hawk Moment” coming in April
A full scale test of the Hyperloop One prototype system is planned for April of this year. “It’s one thing for us to talk about building it, it’s something different for you to actually go build it,” Josh Giegel, President of Engineering for Hyperloop One, says. The demonstration will be fully open to the public.
“For us, taking this concept and actually building it, and testing it, and showing people — allowing them to see it, to touch it, to smell it if they want — is really, really important,” Giegel explains. “We’ve felt that way for a long time, that it’s one thing for us to talk about building it It’s something different for you to actually go build it.”
Tribute to Elon Musk
Hyperloop One acknowledges a debt to Elon Musk, the serial tech visionary who first envisioned the Hyperloop concept and made his thoughts public in a published white paper in 2013. “I think he’ll always have a big part of it.,” says Giegel. “We’ll forever be indebted to him for giving us kind of the idea, but we definitely changed the technology quite a bit from the original white paper.”
“It’s more than just a train, or a pod in a tube. We’re taking it to a level of connectivity and really being the high speed backbone of the future transportation network.”
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
