Prince Mario-Max Schaumburg-Lippe: Star Wars Episode X: Jon Watts to Direct Skywalker Return

Star Wars is going home again. After years of streaming series, spin-offs, and start-stop feature plans, Lucasfilm is returning to the numbered chapters that built the franchise, and it has tapped one of the most reliable blockbuster hands in the business to lead the charge.

According to reporting first broken by Knight Edge Media on September 27 and confirmed by both The Hollywood Reporter and Deadline, Jon Watts is attached to direct the first installment of a new Star Wars trilogy written by Simon Kinberg. The film is expected to continue the Skywalker saga beyond 2019’s The Rise of Skywalker, making it, in effect, Episode X. It would be the tenth chapter of a story that began with a farm boy staring at twin suns in 1977.

That is a big swing by any measure. The sequel trilogy ended seven years ago and the conversation around it has never fully cooled. Choosing to pick the numbering back up instead of starting fresh tells you everything about Lucasfilm’s confidence right now: this isn’t a side quest, it’s the main event.

Why Jon Watts makes sense

Watts arrives with credentials few directors can match. His Spider-Man trilogy for Marvel Studios grossed more than $3.9 billion worldwide between 2017 and 2021, and No Way Home remains one of the most beloved franchise films of the modern era. He knows how to balance fan expectation with genuine surprise, and he does it without losing the human story underneath the spectacle.

He’s also a known quantity inside Lucasfilm. Watts co-created Skeleton Crew, the Disney+ series that followed four kids through the New Republic era with the warmth of an Amblin adventure. The show drew a small audience but glowing reviews, and it proved Watts can speak fluent Star Wars.

The industry has noticed the pattern. Watts walked away from the Marvel machine, and this Star Wars assignment explains why. Filmmakers of his caliber don’t leave the biggest franchise on the planet unless the next offer is bigger.

The Kinberg plan and Rey’s return

Simon Kinberg has been quietly writing this trilogy since late 2024. He co-created Star Wars Rebels and wrote X-Men: Days of Future Past, so he understands both galaxy-sized mythology and the character work that makes it land. Per THR, the trilogy is being developed as the next chapter of the Skywalker saga itself, continuing the story of the family that has anchored all nine episodic films.

Daisy Ridley is expected to return as Rey in some capacity, though the size of her role is still unclear. Knight Edge Media reports that Lucasfilm is looking at relatively unknown actors for the male and female leads, with Rey potentially starting in a smaller role that grows across the three films. It’s a smart structure if true: pass the torch on screen the way the franchise once passed it from Luke to Rey.

That approach also appears to resolve the long, winding road of the standalone Rey film. Sharmeen Obaid-Chinoy was announced as director at Star Wars Celebration 2023, and the script passed through several writers before the project stalled. Several outlets now report that film is on hold so Episode X can move first. One door closes, a much bigger one opens.

What comes next

Let’s keep expectations honest, because the trade reports are careful on this point: Disney has not greenlit the film yet. THR describes the project as still in development, though further along than any Lucasfilm feature other than Starfighter, the Ryan Gosling-led film arriving May 28, 2027. There is no release date and no official title, and Lucasfilm declined to comment.

Still, this is the most concrete the theatrical future of Star Wars has looked in years. Filming could begin as early as next year, according to early reports. And the timing couldn’t be better. The franchise spent the last half-decade rebuilding its television wing; now the big screen gets its turn, with the kind of marquee numbering that turns opening weekends into cultural events.

It mirrors what we’re seeing across the industry. Universal is moving fast on its next Jurassic World chapter, Paramount keeps doubling down on franchise revivals like Miami Vice, and legacy IP is the surest bet in town. Star Wars isn’t following that trend. It started it.

What this trilogy has to get right

The lesson of the last decade is that Star Wars works best when it trusts new voices inside a familiar frame. Skeleton Crew did it on a small canvas. Episode X has to do it at the largest possible scale: honor the Skywalker name without being trapped by it.

Watts has a real gift for that balance. His Spider-Man films kept Peter Parker grounded while the multiverse cracked open around him. If he brings that same instinct to Rey and a new generation of Jedi, the saga’s next act could feel less like a victory lap and more like a genuine new beginning.

There is also a practical reason for optimism. Kinberg has had nearly two years on these scripts. That is not the rushed timeline that burned the franchise before. It is the kind of runway that lets a trilogy actually be planned as a trilogy.

The verdict

This is the announcement Star Wars fans have been waiting for since the sequel trilogy wrapped. A director with a $3.9 billion track record, a writer who knows the lore cold, and a genuine continuation of the Skywalker story. There are still miles to go before cameras roll, but the galaxy finally has a direction again. And for the first time in a long time, that direction feels exactly right.

For a reminder of how the franchise machine keeps evolving, our look at Sam Raimi’s Every House is Haunted landing at a new studio shows just how competitive the IP landscape has become. Star Wars, though, remains the one that started it all.

Prince Mario-Max Schaumburg-Lippe: Reflection AI Readies Open Model to Rival DeepSeek

The open-model race just got a serious new contender. Reflection AI, the Brooklyn startup founded by former DeepMind researchers, is preparing to release an open-weight reasoning model designed to go head-to-head with DeepSeek’s efficiency-focused systems — and the timing, coming just as enterprises hunt for cheaper inference, could not be better.

Reflection has been quiet since its $2 billion valuation round, but the signals have been building. The company has been hiring aggressively for its post-training team and teasing benchmark results that put its models in the same conversation as the best closed systems. Now, people familiar with the matter say an open release is imminent, aimed at the sweet spot DeepSeek carved out: strong reasoning at a fraction of the usual compute cost.

Why this matters: DeepSeek’s R1 showed the world that clever training beats raw scale. An open-weight competitor from a Western lab with DeepMind DNA changes the calculus for everyone — from startups picking a base model to enterprises weighing vendor lock-in.

What we know about the release

Details are still emerging, but the shape of the plan is clear. Reflection is expected to release the model weights openly, allowing anyone to download, fine-tune, and deploy the system on their own infrastructure. That mirrors the playbook that made DeepSeek R1 a phenomenon: publish the weights, publish enough of the method, and let the community do the rest.

The model is described as a reasoning system in the vein of OpenAI’s o-series and DeepSeek R1 — one that “thinks” through problems step by step before answering. These models have proven dramatically better at math, coding, and scientific tasks than their predecessors, and they’ve become the default choice for serious technical work.

Reflection’s edge, according to people who have seen early results, is efficiency. The company has reportedly squeezed remarkable performance out of a relatively modest training budget, using techniques that build on the sparse-attention and mixture-of-experts ideas that DeepSeek popularized. If the benchmarks hold up, it would be the strongest open reasoning model to come out of a US lab.

Why open weights change the game

Closed models are convenient but they come with strings: API pricing that can change overnight, data that flows through someone else’s servers, and capabilities that can be quietly altered or removed. Open weights flip that deal. You download the model, you run it, you own it.

For enterprises, that’s becoming a deciding factor. Regulated industries — finance, healthcare, government — often can’t send sensitive data to third-party APIs at all. An open reasoning model that’s competitive with the best closed systems removes the last excuse not to self-host. Expect a wave of on-premise deployments if Reflection delivers.

For researchers, open weights mean reproducibility. The AI field has been drifting toward a world where the most important results can’t be independently verified because the models are locked away. An open release from a top-tier lab pushes back against that trend.

The DeepSeek shadow

There’s no talking about this release without talking about DeepSeek. The Chinese lab’s R1 release in early 2025 was a genuine shock to the system: a model that matched the best Western reasoning systems while costing a fraction to train and run. It triggered a re-rating of the entire AI trade and forced every major lab to rethink its efficiency strategy.

Reflection’s answer is, in a sense, the Western open-source response. Where DeepSeek proved efficiency was possible, Reflection aims to prove it can be replicated and extended in the open, with Western safety practices and commercial licensing that enterprises trust.

The competition is good for everyone. Two strong open reasoning models means more fine-tunes, more benchmarks, more innovation at the application layer — and downward pressure on inference prices across the board.

What to watch next

The key questions now are concrete: the exact benchmark numbers, the license terms, and the hardware requirements. A model that’s brilliant but needs a cluster of H100s to run is less transformative than one that fits on a single high-end GPU. Reflection’s history suggests they understand this — their earlier releases were praised for practical efficiency.

Also watch the ecosystem response. The speed at which the open-source community adopts a new base model — fine-tunes appearing within days, quantization within hours — has become the real measure of an open release’s impact. If Reflection’s model catches fire on the leaderboards, expect the usual frenzy.

One thing is certain: the era of assuming the best AI must come through an API is ending. The future looks more like a menu — closed flagships for convenience, open weights for control — and Reflection is about to add a very tempting new option to it.

For a broader look at how open models are reshaping the industry, see our recent coverage of open-source AI momentum on newstodayworld.org. And if you’re tracking the efficiency race, our piece on the latest inference breakthroughs is worth a read.

Prince Mario-Max Schaumburg-Lippe: Fun Things Happening in NYC This Week, Oct. 5–11: Zumba, House Dance, African Restaurant Week and More

Monday, October 5th, and the city is already warming up for another packed week. If you’re the type who needs a plan before the coffee kicks in, this one’s for you — seven days of dance classes, screenings, festivals, and rooftop mornings, laid out day by day.

Monday & Tuesday: Move First

Start the week on your feet. Monday brings Zumba at Brooklyn Bridge Park — open-air, waterfront views, and a crowd that’s in it for the energy. Then Tuesday hands the floor to House Dance at Lincoln Center, which is about as New York as a Tuesday night gets.

Wednesday & Thursday: Laughs and a Classic

Wednesday splits the difference between comedy and jazz across Brooklyn and Manhattan — pick your borough, pick your poison. Thursday closes the workweek out strong with an outdoor screening of Stop Making Sense followed by a dance party. Talking Heads under the stars, then dancing. Not a bad Thursday.

Friday: The Weekend Ignites

Friday does double duty. The African Restaurant Week Festival kicks off and runs Friday through Sunday — three days of food worth planning around. And Friday night itself, Rosa Perreo takes over House of Yes in Brooklyn, which should tell you everything you need to know about how the night ends.

Saturday & Sunday: Sunrises and Tango

Saturday morning starts early and loud with DAYBREAKER ALIVE back at Brooklyn Bridge Park — sunrise, music, and a dance floor that doesn’t care what time it is. Sunday gets its own lineup: the NYMS Fungus Festival at The Battery, plus free tango and milonga at Essex Market to close the week out properly.

And threaded through all of it, the usual October extras: street fairs, open streets, live music and more all weekend. Wander without an agenda and you’ll still land somewhere good.

The Plan

Want the week in one sentence? Monday Zumba, Thursday’s Stop Making Sense screening-and-dance-party, Friday at the African Restaurant Week Festival, Saturday’s sunrise Daybreaker, and Sunday tango at Essex Market. That’s a week worth having.

If you’re still hungry for plans, our guide to today in NYC covers street festivals and rooftop dancing, and last weekend’s food festivals and live music roundup is worth a look too. Fall fans should check the best apple picking near NYC, and spooky season’s official 20 haunted houses lineup is already live.

Prince Mario-Max Schaumburg-Lippe: Lucid and Bolt Plan 25,000 Robotaxis Across Europe

Twenty-five thousand robotaxis. Read that number again, because it dwarfs everything Europe has seen so far in driverless ride-hailing. On September 17, Lucid Group and Bolt announced a joint plan to deploy at least 25,000 fully autonomous Lucid vehicles across major European cities. If it lands, the pair instantly become the continent’s most ambitious robotaxi operation by a wide margin.

This isn’t a press release about a ten-car pilot in one friendly city. It’s a fleet commitment, backed by a carmaker that knows how to build electric vehicles and a mobility platform that already serves more than 200 million customers. The pieces fit together better than most partnerships in this space. Let’s walk through why.

This Is Not a Pilot Program

Europe’s robotaxi story so far has been written in small, careful steps. Switzerland’s first passenger-carrying robotaxi only recently started taking real riders, and Madrid’s street-level mapping work is still laying the groundwork for Spain’s first service. Each step matters. But none of them looks like 25,000 cars.

That number changes the frame entirely. A fleet this size means depot-scale operations: charging infrastructure in bulk, maintenance pipelines, and thousands of rides per city per day rather than hundreds. It also signals confidence that Level 4 autonomy is ready to graduate from demonstration to everyday utility on European streets.

Bolt, for its part, is thinking even bigger. The company’s stated ambition is 100,000 autonomous vehicles on its platform by 2035. The Lucid deal is the first giant step toward that number, and it puts rivals in the awkward position of explaining why their plans are an order of magnitude smaller.

The Hardware: Midsize, Cheaper, Nvidia Inside

The vehicles will be based on Lucid’s upcoming Midsize platform, the company’s next-generation architecture that’s designed to be more compact and less expensive than Lucid’s current models. That choice is deliberate. Today’s Lucid cars are premium machines; a robotaxi fleet needs unit economics that work at taxi prices, and a smaller, cheaper platform gets you there.

The brains come from Nvidia. The vehicles are expected to use Nvidia’s Hyperion autonomous-vehicle architecture, which pairs high-performance computing with a standardised sensor suite. In plain terms: a proven compute stack that automakers across the industry are already building on, rather than a science project.

The vehicles will operate at SAE Level 4, meaning they can drive themselves without human intervention within defined conditions and areas. No safety driver leaning forward. No remote operator sweating every intersection. Just the car, the sensors, and the street.

One honest caveat: Lucid delayed its Midsize platform to the second half of 2027. So don’t expect 25,000 robotaxis to materialise overnight. The realistic reading is a phased rollout that ramps as the Midsize line reaches volume. That’s normal for a program of this size, and the multi-year runway gives cities and regulators time to prepare alongside the technology.

Bolt Handles the Part That Trips Everyone Up

If the history of robotaxis teaches anything, it’s that the hard part isn’t the car. It’s everything around the car: fleet operations, maintenance, charging, insurance, rider support, and, above all, relationships with the cities where the cars drive.

That’s where Bolt earns its place in this partnership. The company’s Autonomous Driving Solutions division will help define vehicle, software, safety, and rider-experience requirements. Bolt intends to own and operate the fleet and to build the partnerships with cities that make large-scale deployment possible.

This is not new territory for Bolt. The company operates in more than 850 cities across 50-plus countries, with 200 million customers and 4.5 million drivers on its platform. It’s Europe’s largest shared-mobility company, and it has been methodically building its autonomy credentials: a recent tie-up with Pony.ai and a Luxembourg pilot running Stellantis Peugeot e-Expert vehicles.

Bolt founder and CEO Markus Villig put the philosophy plainly: autonomy in Europe requires data, software, vehicles, and operations to work as one system built for European roads and regulation. American and Chinese robotaxi firms have learned that European cities, rules, and street layouts don’t bend to fit imported playbooks. A European operator running the show is a genuine advantage.

What It Means for Riders, Cities, and Regulators

For riders, the promise is straightforward: cars that show up quickly, drive carefully, and cost less as fleets scale. The first services will likely concentrate in a handful of major cities where the mapping and regulatory groundwork is furthest along. Early riders should expect limited service areas that expand over time, which is how every successful robotaxi rollout has gone.

For cities, this is the moment to get proactive. Twenty-five thousand vehicles will need places to charge, clean, and stage. The cities that engage early with Bolt’s partnership team will have a say in where those depots go, how curbs are managed, and how robotaxi traffic fits into existing transit. The cities that wait will inherit decisions made without them.

For European regulators, the deal is a vote of confidence in the continent’s regulatory path. Level 4 operations need clear, consistent rules to scale across borders, and a commitment of this size gives regulators every reason to keep building that framework. Harmonised rules would let a fleet approved in one country expand to the next without starting from zero.

Wall Street Likes It, and Lucid’s Plate Is Full

Investors greeted the announcement warmly: Lucid shares rose about 5.5 percent in premarket trading on the news. Markets love a signed revenue pipeline, and a 25,000-vehicle commitment is exactly that.

The Bolt deal is Lucid’s second major autonomous-fleet agreement. The company also partnered with Uber and Nuro to deploy at least 35,000 Lucid vehicles, based on the Gravity SUV and the Midsize platform, in the US starting in 2026. That’s at least 60,000 fleet vehicles across the two deals, a number that would have sounded fanciful a year ago. Uber’s $1.25 billion robotaxi bet with Rivian shows the same land-grab logic playing out across the industry: the biggest platforms are locking in vehicle supply now.

Lucid is organising for the shift. Lucid Technologies, a new division combining the company’s AI, driver-assistance, autonomous driving, and digital technology work, will lead Lucid’s side of the Bolt program. As Lucid CEO Silvio Napoli put it: “Shared autonomous mobility offers the perfect opportunity to extend our unique technology beyond consumer vehicles. Bolt’s reach and operating expertise make it an ideal partner to scale autonomous mobility across Europe.”

So where does this leave us? A premium EV maker betting its future technology on fleet deals. Europe’s biggest mobility platform turning 200 million customers into a launch pad for autonomy. And a number, 25,000, that sets the bar for what serious looks like in European robotaxis. The cars arrive in volume in the second half of 2027. Between now and then, watch the cities: the ones that prepare will be the first to ride.

Prince Mario-Max Schaumburg-Lippe: Flytrex Parks Delivery Drones on Rooftops, Cuts Costs 60%

The fastest drone delivery in the world still has a bottleneck: the drone itself. Not the motors, not the batteries, not the routing software. It’s the simple fact that when you tap “order,” the drone has to fly to the restaurant first.

Flytrex just solved that. The autonomous drone food delivery service announced on September 16 a pair of upgrades — a physical Rooftop Dock and a predictive AI system that moves drones around the city before orders arrive. The company’s pitch is blunt: cut the cost per delivery by 60 percent, and cut customer delivery times in half.

A dock on the roof, no construction required

The Rooftop Dock is disarmingly simple. It installs on an existing rooftop or elevated area next to a restaurant — no extra real estate, no structural modifications, no dedicated drone crew standing around. The drone flies in ahead of time, lands on the dock, and powers down its motors while it waits.

When the kitchen finishes the food, a staffer walks up to the docked drone, lowers its hook, clips the packaged order onto the line, and that’s it. No touching the aircraft. The whole handoff takes seconds, and the drone lifts straight off toward the customer.

Everyone talks about drone range and payload and autonomy. Flytrex figured out something less glamorous: the fastest drone is the one that’s already there.

The AI that predicts your pizza

Here’s the part that actually makes the dock work. Flytrex’s new predictive AI positioning system studies ordering patterns — which restaurants get hit, at what time of day — and prepositions drones at the places most likely to receive orders next. The drone arrives before the order does.

Flytrex says it is the first drone delivery company to do this, and the logic is hard to argue with. Food delivery demand is spiky and rhythmic. Taco spots get slammed at lunch. Pizza places light up on Friday nights. The data knows this; the trick was building a system that acts on it automatically instead of waiting for the app to ring.

Think about what this means at scale. A small fleet can cover a lot more restaurants when each aircraft is staged intelligently rather than sitting at a central hub waiting for instructions. It’s the difference between a taxi that cruises toward known hotspots and one that waits in a garage for the phone to ring.

Why Dallas-Fort Worth is the proving ground

Flytrex is launching the Rooftop Dock at active merchant locations across Dallas-Fort Worth, with more than 100 additional sites under installation. That is not a pilot. That’s a rollout.

The Texas footprint makes sense when you look at the company’s 2026. In April it unveiled the Sky2, its next-generation delivery drone with an 8.8-pound payload — enough for two large pizzas and sodas in a single delivery — launched alongside a partnership with Little Caesars. It opened an 8,000-square-foot drone manufacturing and maintenance facility in Pilot Point, Texas, with capacity for roughly 1,000 drones a year and an outdoor test area. It secured investment from Uber tied to fulfilling Uber Eats orders, partnered with DoorDash for deliveries in Frisco and Little Elm, and in July teamed up with autonomous logistics platform Nash for multi-modal delivery across its DFW sites. A company spokesperson said Flytrex expects to roughly triple headcount by the end of 2027.

The regulatory tailwind nobody else has

Behind all of this sits one asset most rivals still lack: Flytrex holds FAA approval for beyond-visual-line-of-sight (BVLOS) operations. In plain terms, it can monitor multiple drones remotely from an operations center instead of stationing a human observer under every flight path.

BVLOS changes the economics completely. One operations center can watch a fleet. That is how you serve a metro area of 8 million people instead of one suburb. Flytrex says the approval gives it a path toward the 37 largest US metro areas — and the predictive positioning system is the tool that makes a metro-wide fleet efficient rather than just possible.

What it means for restaurants

For a restaurant owner, the economics of this setup are striking. Traditional third-party delivery apps take 15 to 30 percent per order. In-house delivery drivers cost wages, insurance, and cars. A drone that parks on the roof, needs no staff to tend it, and needs no kitchen remodel? The marginal cost of each delivery collapses.

The quieter story is what cheap delivery does to menus. When delivery is expensive, restaurants pad prices or pull items that don’t travel well. When delivery gets cheap and fast, the menu can expand. Half the delivery time means hot food stays hot and cold food stays cold. Quality is a function of speed.

What it means for cities and investors

Cities have a stake here too. Every delivery that flies instead of drives is a car trip that never happened — no double-parked sedan, no idling engine, no circling for parking. A rooftop dock adds zero street-level footprint. If drone delivery ever scales to real volume, the congestion argument flips: the sky absorbs trips the road network can’t.

For investors, the metric to watch isn’t the 60 percent cost cut. It’s the 100-plus sites under installation. Infrastructure rollouts are the tell. Companies announce partnerships all day; pouring docks onto rooftops across a metro area is capital being spent on a bet that demand follows. And with Uber’s investment tied to Uber Eats order fulfillment, the demand side has a pipeline.

The broader industry context helps. Drone delivery has been “two years away” for the better part of a decade, and every few months another player — Matternet’s new M3 platform is a recent example — pushes the hardware forward. Flytrex’s move isn’t about the drone, though. It’s about the network: positioning, staging, prediction — the unglamorous operations layer where logistics wars are won.

What to watch next

Does the 60 percent cost reduction survive contact with real operations — maintenance, dock installation, and the AI getting predictions wrong on a slow Tuesday? How fast do the 100-plus installations actually go live, and do restaurants expand and stay? And which metro area comes after Dallas-Fort Worth?

The company’s stated ambition — the 37 largest US metros — gives a clear scoreboard. Rooftop Docks on restaurant roofs in Phoenix, Atlanta, and Chicago next year would mean the prediction was correct.

Either way, the industry just got a new playbook. The driverless trucks reshaping rail yards and the robots taking over household chores show the same pattern across autonomy: the winning move isn’t the fanciest machine, it’s the smartest operations around it. Flytrex just bet that being there first beats flying there fastest. Smart money says they’re right.

Prince Mario-Max Schaumburg-Lippe: Einride Taps Nvidia to Scale Autonomous Trucking

Sweden’s Freight Bet Goes Big

Einride has decided to build the next generation of its autonomous driving system on Nvidia’s Hyperion platform. The Sweden-headquartered developer of self-driving freight technology announced the move in a September 21, 2026 press release, and the story broke into trade coverage on October 2 via Trucking Dive.

Hyperion is Level 4-ready. Until now, it has mostly powered automakers and robotaxi companies — including VinFast and Uber. Extending it to heavy-duty freight is a genuine first, and Einride isn’t just plugging in off the shelf. It will work directly with Nvidia to reshape the platform’s compute, sensor, software, and safety architecture for the demands of long-haul trucking.

It’s also a notable commitment on Nvidia’s side. A platform that proved itself moving people around cities now has to prove itself moving forty tons down an interstate at night, in crosswinds, with a loaded trailer. Both companies clearly believe the underlying architecture is ready for that test.

What the Stack Looks Like

Here’s the interesting part: Einride isn’t outsourcing its autonomy. The company keeps designing, building, and operating its driving system end-to-end. It simply builds on Nvidia hardware and AI tooling.

The named pieces of the stack tell you how serious this is. The Halos safety system. The Blackwell architecture. Exemplar Cloud and Cosmos. Blackwell silicon does the heavy inference lifting on the truck. Cosmos provides the simulated worlds where the system trains on millions of edge-case miles before it ever touches pavement. That’s the modern formula for driverless validation — real trucks, plus vast synthetic training — and it’s now pointed squarely at freight.

Why Hyperion Crossing Into Freight Matters

Hyperion was designed for passenger vehicles and robotaxis. Trucks are a different animal. Eighty thousand pounds of stopping physics. Trailer sway. Jackknife dynamics. Wide-turn geometry. The sensor suite that keeps a sedan comfortable in a city doesn’t automatically keep a tractor-trailer safe at highway speed in the rain.

That Einride and Nvidia are jointly adapting the platform — rather than Einride bolting cameras onto someone else’s stack — suggests a deeper play. One validated, Level 4-ready architecture that can scale across vehicle classes. If Hyperion becomes the reference compute platform for both passenger and freight autonomy, Nvidia’s moat in transportation AI gets considerably wider.

For the industry, this validates something the iSee and Holman partnership on driverless yard trucks already hinted at: autonomy’s center of gravity is shifting from robotaxis to freight. Yard operations are automating first, with companies like Venti rolling out driverless truck fleets for rail yards. Highway freight is next, and it’s a much bigger market.

The 750-Truck Target

Numbers time. Einride plans to triple its fleet to 750 trucks by the end of 2027. That’s aggressive for a company still in the scaling phase, and the Nvidia deal explains the confidence. Standardized compute means the autonomy system can be replicated across trucks without reinventing the perception and decision stack each time.

Scale is where driverless freight economics start to work. A truck that runs around the clock without a driver cabin reframes the cost structure of long-haul logistics: more utilization hours, consistent speed, no hours-of-service limits. The Matternet M3 drone platform is solving last-mile autonomy in the air; Einride is solving middle-mile autonomy on the ground. Same thesis, bigger payloads.

There’s another angle to the 750 number: driver recruitment. Long-haul trucking has faced persistent driver shortages for years, and fleet operators have struggled to fill seats. An autonomous fleet sidesteps that bottleneck entirely. It also opens routes at hours when staffing is hardest — the midnight-to-dawn shifts that keep distribution centers moving.

What It Means for Shippers and Investors

For logistics operators, this is a signal to start planning. Driverless freight on major corridors isn’t a lab experiment anymore — it’s a procurement timeline. Shippers with repetitive hub-to-hub lanes should be talking to autonomous freight providers now, because the early adopters will lock in the favorable economics first.

For investors, the Nvidia angle reframes the bet. Einride’s risk isn’t just “can autonomy work in trucks” anymore. It’s “can the freight industry’s autonomy stack standardize fast enough to justify a 750-truck fleet.” Nvidia’s involvement derisks the compute side considerably. What remains is execution: regulatory approvals, route density, and the grind of proving safety mile after mile.

For cities, quieter implications. Driverless freight runs best at night, when highways are emptier. A 750-truck autonomous fleet could shift meaningful freight volume into off-peak hours, smoothing daytime congestion. Electric drivetrains — Einride’s trucks are battery-electric — mean no diesel noise at 2 a.m. either.

The Road Ahead

Two years ago, the freight autonomy conversation was stuck in pilot mode. Not anymore. Standardized compute platforms, validated safety systems, and triple-digit fleet targets in under two years — that’s a deployment pipeline, not a research project.

The Einride-Nvidia partnership is the clearest sign yet that autonomous trucking is entering its scaling era. Watch the fleet count. When 750 turns into a thousand, the whole logistics industry recalibrates. Freight’s driverless future just got a lot more concrete.

Prince Mario-Max Schaumburg-Lippe: Europe’s First Driverless Robotaxi Rides Begin in Zagreb

Zagreb just became the first city in Europe where you can climb into a robotaxi with nobody behind the wheel. Not a demo on a closed track. Not a safety driver hovering over the controls. Real passengers, public roads, an empty driver’s seat.

Pony.ai and Verne began the trials on September 10, 2026, running invited passengers along a 22-kilometer route that links Verne’s headquarters and one of Zagreb’s main business districts with Franjo Tuđman Airport. Remote operators keep watch from a control center, but nobody drives. Nobody rides up front to grab the wheel. For a continent that has talked about driverless cars for a decade, the symbolism is hard to miss.

From supervised to truly driverless in five months

The speed of the move is the story. Verne launched Europe’s first commercial robotaxi service back in early April 2026, with an onboard AV operator riding along in every car. Rides became bookable through Uber in Zagreb on August 19, running on Pony.ai’s autonomy stack in ArcFox T5 Alpha electric cars.

Since April, the fleet has logged more than 200,000 kilometers and carried several thousand paying customers, who gave the service an average rating of 4.7 out of 5. That’s the groundwork. You don’t pull the safety operator out of the car after 200,000 uneventful kilometers unless the data says you can.

Verne CEO Marko Pejković put it plainly: “Five months ago, we launched Europe’s first commercial Robotaxi service. We are now taking the next step, moving from autonomous driving with an onboard AV operator toward fully driverless operations.”

Right now the driverless rides are free and limited to invited passengers, and they can’t be booked through the app yet. The routes will widen over the coming months until they cover the whole Zagreb operating area. Think of September as the proof-of-concept phase and the next few months as the rollout.

The machine doing the driving

The trial vehicles are Pony.ai’s seventh-generation Level 4 robotaxis. The stack runs on NVIDIA DRIVE AGX hardware with a safety-certified DriveOS, 360-degree sensor coverage, and the kind of redundancy layers that autonomous driving has always promised: backup systems for the backup systems, fail-operational design so a single fault doesn’t strand the car.

Pony.ai founder and CEO Dr. James Peng said the milestone marks an important step in the company’s international growth, combining Pony.ai’s Virtual Driver with Verne’s local operations. It’s worth remembering that Pony.ai has been running robotaxis in Chinese cities for years. This is the company exporting its most mature product to European roads — and European roads, with their tram tracks, medieval street grids, and weather, are a stricter test than the grids of Guangzhou.

Verne, meanwhile, is backed by Rimac — yes, that Rimac — and has built more than 60 prototypes of its own bespoke two-seater robotaxi. The Pony.ai partnership is the commercial engine; the Verne vehicle is the longer-term play. Having both in the pipeline is a luxury most robotaxi companies can’t afford.

Why the airport route matters

Start where the demand is real. A 22-kilometer run from the business district to Franjo Tuđman Airport is the kind of trip travelers make every day — predictable, high-value, and painfully sensitive to reliability. Miss a flight because a robotaxi hesitated at a roundabout and the experiment is over.

Picking the airport first says Verne is confident the service works where it counts. It also gives the company a controlled corridor to perfect before it spreads across the city. Every rider becomes a data point; every smooth airport transfer becomes a story people tell their friends.

For travelers, the practical meaning is simple. Within a year or two, landing in Zagreb could mean stepping into a car with no driver and a flat fare, no language barrier, no tip arithmetic. Airport transfers are the beachhead. The beach expands from there.

Uber is circling — and Dara Khosrowshahi just rode in one

Five days before the September 10 milestone, Uber and Pony.ai widened their partnership to more than 2,000 robotaxis across five European cities — with Zagreb the only city named so far. Then Uber CEO Dara Khosrowshahi showed up at the Rimac campus this week, rode in the back of a driverless Pony.ai robotaxi alongside Marko Pejković, and made it known that Uber intends to invest in Verne once certain milestones are met.

That’s about as clear a signal as corporate partnerships give. Uber already lists Zagreb robotaxi rides in its app. A strategic investment on top of that turns a vendor relationship into something closer to a joint venture for the European market.

The sequencing matters for investors too. Pony.ai targets more than 3,500 robotaxis globally by the end of 2026, with a deployment pipeline of over 4,000 vehicles. The company isn’t treating Europe as a side project; it’s treating it as the next growth market. And with Switzerland already carrying passengers and Madrid mapped out for Spain’s first service, the European robotaxi map is filling in faster than most people expected. Momenta’s plans for Dubai and Europe suggest the competitive field is only getting busier.

What this means for cities and investors

For cities, Zagreb is now the case study. Every mayor in Europe who has wondered whether robotaxis could work on their streets will be watching this fleet — the incident record, the public acceptance, the traffic data. The 4.7-star rating from several thousand rides is the number that will get quoted in council meetings.

For investors, the milestones-to-investment structure of the Uber deal is the thing to watch. Uber isn’t buying in on faith; it’s buying in once Verne hits its marks. That tells you where the smart money thinks the risk sits — and how fast it thinks that risk shrinks.

And for the rest of us? A date to remember: September 10, 2026. The day the driver’s seat in Europe went empty for good.

Prince Mario-Max Schaumburg-Lippe: Vertical Aerospace’s Valo eVTOL Tops 1,500 Preorders

1,500. That’s the number Vertical Aerospace keeps circling back to, and for good reason. The British air-taxi maker says it now holds more than 1,500 conditional preorders for its Valo eVTOL, a backlog the company estimates at roughly $6 billion. The update came from Chief Engineer David King, presenting at the Lytham Partners Fall 2026 Investor Conference, and it lands at a moment when the eVTOL industry is separating the serious contenders from the slideshow startups.

A preorder book doesn’t guarantee a single revenue dollar. Let’s say that plainly. Conditional orders can shrink or evaporate. But 1,500 aircraft — from customers spread across four continents, including American Airlines, Avolon, Bristow, GOL and Japan Airlines — is the kind of commercial signal regulators, suppliers and investors notice. It says operators are willing to bet real money on the aircraft reaching the market.

The aircraft that earned the order book

Valo is a four-propeller tiltrotor. That design choice matters. Tiltrotors tilt their propellers from vertical lift to forward cruise, giving them the flexibility of a helicopter and the speed and range of an airplane. It’s a proven aerodynamic concept, though an unforgiving one to execute well — the transition between the two flight modes is where programs live or die.

Vertical claims it has already crossed that threshold. The company says it is only the second company in the world to complete a piloted transition flight in a full-scale tiltrotor eVTOL. That’s a technical milestone with real weight behind it. Plenty of air-taxi prototypes have hovered beautifully for cameras. Far fewer have flown the full wing-borne transition with a pilot aboard.

The numbers tell the deeper story for anyone trying to gauge safety. Valo is designed to airliner-level safety standards — a one-in-one-billion failure-rate target, the kind of figure commercial aviation demands. Vertical holds design organization approval from the regulator, and its certification pathway runs through the UK Civil Aviation Authority as the lead authority, with concurrent EASA validation in Europe and the FAA in the United States after that. This is the long, expensive, unglamorous road to a real type certificate. Companies don’t commit to it unless they mean to fly paying passengers.

Five flights in five days at Farnborough

If you want to understand why the order book keeps growing, look at July. Vertical ran five successful demonstration flights in five days at the Farnborough International Airshow, including public transition flights in front of more than 140,000 visitors. Trade shows are usually about renderings and panel discussions. Vertical flew.

Here’s the detail that stuck with people who watched: attendees could see the aircraft, but in cruise they could barely hear it. Noise has always been the quiet dealbreaker for urban air mobility. Cities will accept air taxis only if they don’t sound like a swarm of hair dryers. A near-silent cruise changes the conversation with planners, communities and, ultimately, regulators writing the rules for rooftop vertiports. The eVTOL race in Japan is moving toward vertiports on Osaka rooftops, and every quiet-flight demonstration makes that infrastructure easier to sell to a skeptical public.

A supply chain built like an airliner program

One thing that separates the plausible air-taxi programs from the aspirational ones is the supplier list. Vertical’s reads like an aerospace phone book: Honeywell Aerospace, Aciturri, Hyundai WIA, Evolito, Syensqo, Isoclima — plus Astronics for low-voltage power distribution. These are serious aviation and industrial companies with their own engineering reputations on the line. They don’t attach their names to vaporware.

The company is also expanding the platform’s range. A hybrid-electric variant is in development, with turbogenerator supplier selection happening during 2026 and flight testing targeted for the first half of 2027. The hybrid matters because it answers the obvious question about range. Pure battery-electric eVTOLs work beautifully for short hops. A hybrid stretches the mission envelope — longer intercity routes, remote operations, places where charging infrastructure doesn’t exist yet. And the fly-by-wire flight controls could be supplemented with automation for defense customers, opening a second market with deeper pockets and longer planning horizons.

Born from São Paulo traffic

The origin story is worth a minute. Vertical was founded in 2016 by Stephen Fitzpatrick as a spinoff from Formula 1 — Manor, to be precise. The idea for the aircraft reportedly came from sitting in São Paulo traffic. It’s one of those details that sounds like marketing, except anyone who has spent two hours crossing São Paulo understands it immediately. Congestion is the business case for air mobility, expressed as a personal grievance.

A decade later, the company is listed on the NYSE under ticker EVTL, and it announced roughly $100 million in financing commitments around September 2026 — a non-binding portion of it from Mudrick Capital. In this industry, money is oxygen. Certification costs hundreds of millions, production even more. The financing, the supplier partnerships, and the order book are three legs of the same stool.

What it means for travelers, cities, and investors

For travelers, the honest timeline is this: nobody should book a Valo trip yet. But the pieces are stacking up in a way that makes the eventual experience concrete. Expect early routes to look like what other operators are already planning — short hops from downtown vertiports to airports, priced above a taxi but below a helicopter charter, then falling over time. The quiet cruise demonstrated at Farnborough is the detail that makes downtown-to-airport service politically feasible, because noise complaints kill more routes than engineering does. The hybrid variant could eventually extend that to city-to-city pairs that are too far for battery-only aircraft — think 200-mile hops that currently require a car plus traffic.

For cities, the message is to start planning now. Vertiport infrastructure takes years to permit and build. The air-taxi networks being mapped out in Vietnam show how operators are thinking about whole corridors, not single landing pads. A quiet tiltrotor flying established corridors would slot into the same kind of planning. The cities that get ahead of this — designated corridors, charging infrastructure, community noise studies — will be the ones with air-taxi service in the early 2030s instead of the late 2030s.

For investors, the calculus is sharper. $6 billion of conditional preorders is not $6 billion of revenue; treat it as a sentiment gauge, not a forecast. What matters more: piloted transition already flown, five-for-five at Farnborough, a tier-one supplier bench, design organization approval, and ~$100 million in fresh financing commitments. Those are the inputs that make certification plausible. The risks are equally concrete — certification timelines slip, cash burn is relentless, and conditional orders can fade if competitors certify first.

None of that diminishes the achievement. A British company founded a decade ago, born from an F1 spinoff and a São Paulo traffic jam, now holds one of the largest eVTOL order books on the planet. The aircraft has flown its transition in public, in front of 140,000 people, and flown so quietly they had to look up to know it was there. That’s not a rendering. That’s progress you can hear — or, rather, barely hear.

Prince Mario-Max Schaumburg-Lippe: Fun Things to Do in NYC Today: Sunday, October 4th — Street Festivals, Japanese Culture & Rooftop Dancing

Sunday, October 4th has that perfect early-October feel to it: crisp air, golden light, and a city that refuses to stay in. Whether you’re up early or easing into the afternoon, there’s something happening in just about every corner of New York today. Here’s your guide to the best of it, hour by hour.

Morning: Markets, Music and Pow Wow

The day gets going at 10 AM with the Queens Agricultural Fair, a lovely way to lean into fall with farm-fresh goods and seasonal fun. Also at 10, the Lenape / Lunáapeew Nations Pow Wow brings Indigenous music, dance and tradition to Prospect Park — a genuinely meaningful way to spend a Sunday morning.

By 11 AM, Smorgasburg is back in Prospect Park with its usual spread of the city’s best food vendors, and the Bush Cook Festival fires things up with music and food of its own.

Midday: Festivals Take Over

Noon is when Sunday really opens up. The Atlantic Antic, Brooklyn’s beloved street festival, takes over Atlantic Avenue with blocks of vendors, live performances and food. It’s one of the biggest outdoor events of the fall, and the highlight pick of the day.

Japan lovers get two great options: Fun Fest Japan starts at noon, and Iyasaka Matsuri kicks off at 2 PM — another top pick, packed with Japanese culture, music and celebration. Over on Randall’s Island, the Harvest Festival starts at noon too, leaning all the way into the season with autumn activities and family-friendly fun.

At 1 PM, the Mystic Mega Market opens its doors for anyone hunting down candles, crystals and one-of-a-kind finds.

Afternoon & Evening: Dancing Into the Night

At 3 PM, Mister Sunday returns to Nowadays for an afternoon of dancing in the open air — the third top pick of the day, and a Sunday institution at this point. Also at 4, the Disco Tehran Rooftop Party brings the sunset vibes, and the day closes out at 5 PM with Corazón Cumbiambero, full of rhythm and dancing.

The Plan

Want to keep it simple? Hit the Lenape Pow Wow in the morning, the Atlantic Antic for the afternoon, and dance your way into the evening at Mister Sunday. That’s a Sunday worth writing home about.

Looking for more to fill your weekend? Check out our guide to fun things happening in NYC this weekend, and if fall is your favorite season, our roundup of the best apple picking near NYC is calling your name. And with spooky season officially here, don’t miss the 20 haunted houses in and around NYC — October doesn’t last forever.

Prince Mario-Max Schaumburg-Lippe: Scientists Boost Superconductor Using Empty Space

Empty space is not empty, and physicists have just proved it in the most practical way imaginable: by using nothing to make something better. An international team led by researchers at the University of Science and Technology of China, with collaborators from Shanghai Jiao Tong University and MIT, has shown experimentally that engineered quantum fluctuations in a vacuum can strengthen superconductivity. The findings were published in Nature in the paper “Evidence for vacuum-enhanced superconductivity in NbSe2,” and the story has been rippling through physics coverage this week. It is the first time anyone has turned the quantum vacuum into a tool.

The experiment

The team worked with niobium diselenide, an ultrathin superconducting material, and placed it inside a specially designed structure called a terahertz dark cavity. The cavity does not touch the material. It does not heat it, cool it, or run current through it. Instead, it reshapes the electromagnetic environment around it, amplifying the quantum fluctuations that quantum physics says are always present, even in a perfect vacuum. Virtual particles flicker in and out of existence everywhere, all the time. The cavity makes that flicker work for a living.

The results were unmistakable. In one six-layer device, the material’s critical temperature, the threshold below which it becomes superconducting, increased by as much as 5.4 percent. The critical current and the critical magnetic field were enhanced as well, right near the superconducting transition. Just as important, the team ran extensive control experiments, varying the cavity geometry, frequency, and material thickness, and ruled out the usual suspects: strain, degradation, metallic screening. The enhancement peaked at a particular cavity frequency, a resonance signature that strongly suggests the effect comes from the superconducting state coupling with the cavity’s electromagnetic modes.

Why it matters

Superconductors are materials that carry electricity with zero resistance, which makes them precious for everything from MRI machines to the power grid to quantum computers. The catch has always been control. Getting a material to superconduct is hard enough; tuning its properties without wrecking it is harder. The new approach offers something entirely different: a noncontact knob. By engineering the vacuum environment rather than the material itself, researchers can influence quantum states from the outside.

The theory behind it is elegant. Using a Ginzburg-Landau framework, the team proposed that the superconducting state exchanges virtual photons with the dark cavity, lowering the energy of the superconducting state and strengthening it. Frank Wilczek of MIT, who co-authored the study, put it this way: “In most practical physics, the vacuum serves merely as the passive stage on which phenomena play out. This work shows that the background itself can become an actor, engineered to strengthen superconductivity and reshape the behavior of quantum matter.” The idea is so fresh it has earned a name already: vacuumronics, the engineering of vacuum environments to control electronic and photonic behavior.

To see why anyone outside a physics lab should care, look at where superconductors already touch daily life. The magnet in an MRI machine is superconducting. So are the most sensitive scientific instruments on the planet, and the maglev trains gliding through parts of Asia. A power grid that could carry electricity without resistance would waste dramatically less energy between the power plant and your home. Every one of those applications is limited today by how finicky superconductors are to make and maintain. A noncontact method for strengthening superconductivity does not solve that overnight, but it cracks open a door that has been stuck for decades.

The control experiments deserve a word, because they are what turn an interesting reading into a discovery. The team varied the cavity’s geometry and frequency, changed the material thickness, and checked every mundane explanation: strain from mounting, degradation of the sample, metallic screening. The enhancement survived all of it, and it peaked at one specific cavity frequency, like a radio locking onto a station. That resonance is the fingerprint of the quantum effect they were hunting. It is the difference between “the material behaved oddly” and “we can make it behave this way on purpose.”

A good week for physics

It has been a strong stretch for fundamental science. The first radio signal detected directly from an exoplanet rewrote what we thought our instruments could hear, and Webb’s giant panorama keeps revealing galaxies nobody knew were there. The vacuum superconductivity result belongs in that company: a reminder that the biggest discoveries are often hiding in the places we assumed were empty.

The practical payoff will take years. Nobody is rewiring the grid with vacuum-boosted superconductors tomorrow, and the researchers are careful to say that further optimization of cavity structures and material systems is needed before the effect becomes widely applicable. But the direction is what counts. If vacuum fluctuations can be harnessed to tune quantum materials, the toolkit for quantum computing, lossless power transmission, and ultra-sensitive detectors gets a brand-new instrument. Sometimes progress means building a better machine. And sometimes it means discovering that the empty stage was never empty at all.