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SpaceX/Tesla’s Hyperloop pod will attempt to reach 1/2 speed of sound
Elon Musk recently announced that a speed test for the upgraded SpaceX Hyperloop pod would be conducted soon. This time around, Musk said that the goal would be to accelerate to half the speed of sound and stop within ~1.2 km.
Musk’s updates came late Saturday on Twitter. Expanding on a tweet he posted last August about the SpaceX Hyperloop pusher pod, Musk candidly stated that the new goal for the upcoming speed test would be “kinda nutty.” Accelerating from a standstill to a blazing 383.7 mph (half the speed of sound) in around 1.2 km, after all, is a pretty challenging endeavor.
Despite the risks, however, Musk lightly joked that the upgraded Hyperloop pod’s speed test would be exciting nonetheless.
“This is kinda nutty for such a short distance, so could easily end up being shredded metal, but exciting either way,” Musk tweeted.
This is kinda nutty for such a short distance, so could easily end up being shredded metal, but exciting either way
— Elon Musk (@elonmusk) April 8, 2018
During a post on Instagram last year, Musk said that the SpaceX team decided to see how fast the pusher pod could go on its own, considering that the machine had mostly been used to push some of the pods of the competing student teams. According to Musk, the Hyperloop pusher pod was able to hit 220 mph before things started heating up. Thus, if the machine could dash to half the speed of sound this time around, it would be a notable accomplishment.
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The upcoming speed test of the upgraded SpaceX Hyperloop pusher pod comes as the 2018 Hyperloop Pod Competition draws nearer. The 2018 competition, which is set to take place on July 22, 2018, will see teams of students from across the globe compete in a contest to see which could come up with the best design for a Hyperloop pod. According to SpaceX’s page for the competition, teams this year will be focusing on one particular metric — maximum speed.
Over the past couple of years, WARR Hyperloop, a team from the Technical University of Munich, has managed to win the competition. Last year, the students built a lightweight pod that was propelled with a 50 kW electric motor and connected to polyurethane wheels. During the contest, WARR Hyperloop’s 190-lb machine was able to hit 202 mph, blowing away its two toughest competitors — Paradigm Hyperloop and SwissLoop.
WARR Hyperloop is preparing to defend their title for this year’s competition. According to the group’s official website, the WARR Hyperloop team for 2018 will be comprised of 45 members from 16 different countries. A brand new pod is also under development.
As we noted in a previous report, Elon Musk’s Hyperloop idea has inspired Dubai to commit to the project. Just recently, a full-scale prototype model of a Hyperloop One passenger pod was unveiled in Dubai’s City Walk Mall. The 8.7-meter-long, 3.3-meter-diameter pod featured various plush amenities, including BMW-designed seats, generous legroom, and a lighting scheme that would not look out of place in a sci-fi movie.
Dubai’s Hyperloop system is expected to start operations as early as 2020, with the ultra-high-speed transport system connecting key cities in the region, such as Abu Dhabi and Dubai.
Watch a recap of the 2017 Hyperloop Pod Competition below.
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Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
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Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
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In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
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By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
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Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
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“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
