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SpaceX’s returning Hyperloop champion prepares to hit 372 mph on July 21 competition
For the fourth year in a row, SpaceX will be holding its Hyperloop Pod Competition. The event, which features teams of students from universities across the globe, is expected to raise the game this year, with returning champion TUM Hyperloop (formerly WARR Hyperloop) from the Technical University of Munich looking to hit half the speed of sound with its upgraded pod.
TUM has been competing in SpaceX’s Hyperloop Pod Competitions since the first tournament was held in 2015. The team has created a reputation for creating incredibly quick pods over the years, even beating the 240 mph record set by Virgin Hyperloop in 2018 with an impressive 290 mph run. Even more notable was that TUM was able to accomplish this feat at SpaceX’s Hyperloop test track, which is only 0.8 miles long.
Inasmuch as this was impressive, the student team from Munich is not resting on their laurels this year. SpaceX requires returning participants to the Hyperloop Pod Competition to introduce upgrades and revisions to their past pod designs, and that is exactly what TUM did. The new pod, christened simply as Pod IV, is almost 1.70 meters (5.57 feet) long, 50 cm (19.6 inches) wide and weighs approximately 70 kg (154 lbs), almost 8 kg (17.6 lbs) lighter than 2018’s Pod III, which hit a record-setting speed of 290 mph the previous year.
In a press release, TUM Hyperloop Team Manager Toni Jukic stated that the team is looking to hit a highly ambitious goal this year. “This year we plan to reach at least half the speed of sound, over 600 kilometers per hour (372 mph),” he said. Putting that figure into perspective, Pod IV would have to go 40% faster than its pod last year, hitting 372 mph and decelerating to zero in 0.8 miles.
Ambitious goal aside, this year will likely not be easy for TUM Hyperloop, especially considering that among its competitors is the UNSW Hyperloop team from Australia, which has a pretty unique experience in terms of rapid sustainable transportation. The UNSW has seen success in other innovative transport solutions, with students from the university’s Sunswift team setting a new efficiency record at the World Solar Challenge using a solar racing car that completed a 4,100 km (2,500 mile) journey across Australia in just six days.
In a statement to The Driven, UNSW Hyperloop team manager Harry Zhang noted that the team had to work really hard to make it to SpaceX’s competition. “It was quite grueling because we had to apply to compete, then do several design packages over the summer and then finally get accepted in February to be invited to go to SpaceX’s headquarters in Hawthorne, California. The people who do compete and make it through the multiple rounds of elimination are quite revered in engineering around the world,” he said.
Another team that TUM Hyperloop would likely need to watch out for is Team Delft from the Netherlands. Delft won the coveted overall best pod award in SpaceX’s first Hyperloop Competition, and it was able to reach the finals last year together with TUM (then called Team WARR) and Team EPFLoop from Switzerland. Unfortunately, Delft experienced major issues in the finals, resulting in the team’s pod reaching speeds of only 88 mph before stalling. With a chance at redemption this year with a new, improved pod, Delft Hyperloop could be returning to the SpaceX Hyperloop Competition with a purpose.
The SpaceX Hyperloop Pod Competition is scheduled to be held on July 21, 2019 at the SpaceX headquarters in Hawthorne, CA. Similar to last year’s competition, participants for this year’s tournament will be judged on one key metric: top speed.
Elon Musk
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.
During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.
Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”
Tesla Semi’s official battery capacity leaked by California regulators
The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.
A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.
Tesla Semi AI4 cameras. The production version has 10 cameras on its exterior.
These trucks are designed to be autonomous. pic.twitter.com/GH3BamxIBQ
— Nic Cruz Patane (@niccruzpatane) April 14, 2026
Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.
The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.
It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.
This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.
Tesla Q2 2026 Earnings Results
- Non-GAAP EPS – $0.33 reported vs. $0.53 expected
- Revenues – $28.236 billion reported vs. $26.4 billion expected
- Free Cash Flow- -$1.092B
- Profit -$ 4.751B
Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.
Tesla shares closed today down just over 1 percent, trading at $374.01.
In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.
Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q2 2026 Earnings Call https://t.co/zZS6ii2TWK
— Tesla (@Tesla) July 22, 2026
Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.
Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:
It’s coming soon
— Elon Musk (@elonmusk) July 21, 2026
Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.
Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.
Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.
The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.
Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
