News
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.
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.
Elon Musk
SpaceX Starship Version 3 booster crumples in early testing
Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.
SpaceX’s new Starship first-stage booster, Booster 18, suffered major damage early Friday during its first round of testing in Starbase, Texas, just one day after rolling out of the factory.
Based on videos of the incident, the lower section of the rocket booster appeared to crumple during a pressurization test. Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.
Booster test failure
SpaceX began structural and propellant-system verification tests on Booster 18 Thursday night at the Massey’s Test Site, only a few miles from Starbase’s production facilities, as noted in an Ars Technica report. At 4:04 a.m. CT on Friday, a livestream from LabPadre Space captured the booster’s lower half experiencing a sudden destructive event around its liquid oxygen tank section. Post-incident images, shared on X by @StarshipGazer, showed notable deformation in the booster’s lower structure.
Neither SpaceX nor Elon Musk had commented as of Friday morning, but the vehicle’s condition suggests it is likely a complete loss. This is quite unfortunate, as Booster 18 is already part of the Starship V3 program, which includes design fixes and upgrades intended to improve reliability. While SpaceX maintains a rather rapid Starship production line in Starbase, Booster 18 was generally expected to validate the improvements implemented in the V3 program.
Tight deadlines
SpaceX needs Starship boosters and upper stages to begin demonstrating rapid reuse, tower catches, and early operational Starlink missions over the next two years. More critically, NASA’s Artemis program depends on an on-orbit refueling test in the second half of 2026, a requirement for the vehicle’s expected crewed lunar landing around 2028.
While SpaceX is known for diagnosing failures quickly and returning to testing at unmatched speed, losing the newest-generation booster at the very start of its campaign highlights the immense challenge involved in scaling Starship into a reliable, high-cadence launch system. SpaceX, however, is known for getting things done quickly, so it would not be a surprise if the company manages to figure out what happened to Booster 18 in the near future.
News
Tesla FSD (Supervised) is about to go on “widespread” release
In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”
Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin.
The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.
FSD V14.2 improvements
FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.
A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.
Elon Musk’s predicted wide release
The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”
FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles.
News
Tesla FSD V14.2 starts rolling out to initial batch of vehicles
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Tesla has begun pushing Full Self-Driving (Supervised) v14.2 to its initial batch of vehicles. The update was initially observed by Tesla owners and veteran FSD users on social media platform X on Friday.
So far, reports of the update have been shared by Model Y owners in California whose vehicles are equipped with the company’s AI4 hardware, though it would not be surprising if more Tesla owners across the country receive the update as well.
Based on the release notes of the update, key improvements in FSD V14.2 include a revamped neural network for better detection of emergency vehicles, obstacles, and human gestures, as well as options to select arrival spots.
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Following are the release notes of FSD (Supervised) V14.2, as shared on X by longtime FSD tester Whole Mars Catalog.


Release Notes
2025.38.9.5
Currently Installed
FSD (Supervised) v14.2
Full Self-Driving (Supervised) v14.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances.
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
- Improved FSD’s ability to manage system faults and improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
Upcoming Improvements:
- Overall smoothness and sentience
- Parking spot selection and parking quality