Verne is the newest participant in the race to develop a fully autonomous, boundary-free EV robotaxi, and it comes at the hands of Rimac.
A sensation in the realm of EV supercars, Rimac is synonymous with ultra-luxurious electric vehicles that push the boundaries of performance, if you’re willing to pay the price.
Now, the company’s founder, Mate Rimac, and two of his closest colleagues from Rimac Group, both Marko Pejković and Adriano Mudri, have launched Verne, the company’s crack at an autonomous robotaxi that will be launched in Zagreb, Croatia, in 2026.
Mudri has been named Chief Design Officer at Verne, while Pejković takes over as CEO of the new venture. Its goal: built a fully autonomous EV, enable it as a mobility service platform, and build an adequate infrastructure to support it.
Fully Autonomous EV
Verne will launch a vehicle that is built upon a completely new platform that is designed around safety and comfort, two factors that the company feels are most important in the robotaxi experience.
Completely engineered from the ground up, Verne will develop an autonomous EV using Mobileye Drive, an autonomous platform.
Starting from scratch and building what it believes will be fully operational within two years, the platform is free of any compromises and disadvantages that would come from developing a groundbreaking vehicle type with scraps inspired by a vehicle designed for human driving.
Mobility Service Platform (MSP)
Tailored for driver-free pickup, passengers are the first thought in Verne’s initial development. Of course, this is no different than traditional ride-hailing services that exist today, but without a human controlling the wheel, things need to be different.
Before ordering a ride, the Verne app will allow users to completely personalize everything. From temperature to comfort to lighting to scent, those who request a ride from a Verne EV can choose everything.
Infrastructure
Verne will expand past Zagreb in the coming years, and each city where the company operates will be the home of the “Mothership,” where every vehicle is inspected, maintained, cleaned, and charged.
Verne’s first production facility for the new EV will be in Croatia. The cars will be deployed worldwide.
New Leadership
Mudri has huge expectations for Verne, which is named after Jules Verne, an author who is said to be “the man who invented the future”:
“Just as he used the theme of travel as the driving force in his storytelling, we use it as our inspiration in shaping a future filled with imaginative innovation and tangible achievement. His faith in the future and his spirit sparked the curiosity in generations of scientists and explorers. Making things that sometimes seem impossible, possible.”
Mate Rimac said the goal for Verne is to have more than just Point A to Point B transportation:
“The end result would be the best possible mobility experience for everyone. This means that every customer will have a better service than the best mobility service enjoyed by the very rich, through the service that is affordable for all. You will have a safe and reliable driver, a vehicle with more interior space and comfort than the best limousines today, and a service that will be tailored to your needs in every possible way.”
Robotaxi Design
Verne’s robotaxi vehicle will have two seats and an interior concept that “completely redefines” past narratives about interior space. Mudri said that 9 out of 10 rides through ride-hailing services are used by 1 or 2 people:
“Therefore, we can satisfy most of all trips with a two-seater and create unmatched interior space in a compact-sized vehicle. We completely redefined interior space. More space than a Rolls-Royce to relax and spend your time well.
It will also feature things like music and movies with an ultrawide screen and 17 speakers for enhanced audio.
As for the exterior, it will be sleek, with deeply integrated cameras, radars, short and long-distance-lidars, no windshield wipers, and no side-view mirrors:
Čestitamo Mati Rimcu i njegovom timu na izradi prototipa budućeg autonomnog električnog vozila, “Verne”! Ponosni smo na još jednu ?? inovaciju koja će mijenjati svijet. Podupiremo ulaganja koja povezuju digitalnu i zelenu tranziciju i ostvaruju ciljeve 5️⃣.industrijske revolucije. pic.twitter.com/3yK73MESr7
— Andrej Plenković (@AndrejPlenkovic) June 26, 2024
“This makes the aerodynamic performance more efficient and allows for easier cleaning. One typical element of an automobile we kept is the trunk. So you don’t need to worry if you‘re going to the airport with a lot of luggage or just finished a major grocery shopping.”
There’s a long way to go, a lot of competition, and so many variables that come into play with this new project.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 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 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!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.