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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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https://www.instagram.com/p/BYckipugds5/
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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In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
