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Elon Musk crowns WARR Hyperloop with 3rd consecutive win after record-breaking 290 mph run

[Credit: WARR Hyperloop]

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WARR Hyperloop, a team of students from the Technical University of Munich, has been dubbed as the overall winner of the 2018 Hyperloop Pod Competition. During its winning runs, Team WARR’s sleek, aerodynamic pod was able to propel itself to speeds of 290 mph, breaking the record set last December by Virgin Hyperloop One’s pod, which hit the 240 mph mark.

As noted by SpaceX on the event’s official page, the competition for 2018 would be focused on a single criterion — maximum speed. This year’s competition only had a couple of requirements for the teams participating in the event. The Hyperloop Pods must be self-propelled, and they have to be fast. Very, very fast.

https://twitter.com/WARR_Hyperloop/status/1021256781106835457

Achieving top speed in SpaceX’s Hyperloop test track on its headquarters in Hawthorne, CA, is a challenge in itself. The test track, after all, is only 0.8 miles long, which requires the self-propelled pods to accelerate hard immediately from a standstill. In a press release last month, Team WARR stated that they are hoping to achieve 372 mph (600 kph) in this year’s competition. The team’s pod ultimately did not hit 372 mph, but its 290 mph run was enough to crown it the winner of this year’s Hyperloop event.

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Elon Musk was in attendance at the 2018 Hyperloop Pod Competition. For their feat, Team WARR received a special token from the Tesla and SpaceX CEO — a signed, metallic model of Musk’s original Hyperloop pod design. With this win, WARR Hyperloop has managed to establish itself as the team to beat in SpaceX’s competition. The team of students from Munich, after all, has garnered the fastest pod award for three consecutive events.

WARR Hyperloop wins the 2018 SpaceX Hyperloop Pod Competition. [Credit: WARR Hyperloop/Flickr]

The three finalists for the 2018 Hyperloop Pod Competition were formidable teams. Apart from Team WARR, Team Delft from the Netherlands, which won the overall best pod award in SpaceX’s first Hyperloop competition, was also present. EPF Loop from Switzerland was also a finalist. When it came to the actual top speed attempts, Delft Hyperloop and EPF Loop were faced with misfortune.

Team Delft’s Hyperloop pod, for one, was only able to attain a top speed of 88 mph before stalling. The pod, which was the latest iteration of its winning design during the first Hyperloop Competition, was already showing problems in the week leading up to the event, including a fried circuit board not long before the competition. EPF Loop, on the other hand, was also met with complications that ultimately caused its pod to accelerate to speeds of only 55 mph.

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Ultimately, WARR Hyperloop’s victory could very well be due to the engineering that went to the team’s pod itself. As noted by WARR Hyperloop in a press release, this year’s pod has been upgraded from a 50 kW electric motor to a system employing eight smaller electric motors with a total output of 240 kW or 320 hp. The pod is also smaller than its predecessor and is more aerodynamic in shape, allowing it to accelerate and stop without any problems.

Watch WARR Hyperloop’s teaser for its pod in the video below.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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What is Digital Optimus? The new Tesla and xAI project explained

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Credit: Grok

Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.

This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.

Tesla announces massive investment into xAI

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.

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xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.

When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.

Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.

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Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.

Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.

It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.

Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.

By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.

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As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.

In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.

It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.

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Tesla adds awesome new driving feature to Model Y

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

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Credit: Tesla

Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

Tesla writes in the release notes for the feature:

“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”

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Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.

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There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.

This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.

Tesla set to activate long-awaited Cybertruck feature

Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.

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Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.

We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.

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Tesla finally brings a Robotaxi update that Android users will love

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android.

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Credit: Grok

Tesla is finally bringing an update of its Robotaxi platform that Android users will love — mostly because it seems like they will finally be able to use the ride-hailing platform that the company has had active since last June.

Based on a decompile of software version 26.2.0 of the Robotaxi app, Tesla looks to be ready to roll out access to Android users.

According to the breakdown, performed by Tesla App Updates, the company is preparing to roll out an Android version of the app as it is developing several features for that operating system.

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android:

“Strings like notification_channel_robotaxid_trip_name and android_native_alicorn_eta_text show exactly how Tesla plans to replicate the iOS Live Activities experience. Instead of standard push alerts, Android users are getting a persistent, dynamically updating notification channel.”

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This is a big step forward for several reasons. From a face-value perspective, Tesla is finally ready to offer Robotaxi to Android users.

The company has routinely prioritized Apple releases because there is a higher concentration of iPhone users in its ownership base. Additionally, the development process for Apple is simply less laborious.

Tesla is working to increase Android capabilities in its vehicles

Secondly, the Robotaxi rollout has been a typical example of “slowly then all at once.”

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Tesla initially released Robotaxi access to a handful of media members and influencers. Eventually, it was expanded to more users, so that anyone using an iOS device could download the app and hail a semi-autonomous ride in Austin or the Bay Area.

Opening up the user base to Android users may show that Tesla is preparing to allow even more users to utilize its Robotaxi platform, and although it seems to be a few months away from only offering fully autonomous rides to anyone with app access, the expansion of the user base to an entirely different user base definitely seems like its a step in the right direction.

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