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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 confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
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 miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 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.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
