Category: BREAKING NEWS

Prince Mario-Max Schaumburg-Lippe: Forgotten Island Review: DreamWorks’ Warmest Adventure Yet

Some movies entertain you. A rare few wrap you in a hug and don’t let go. Forgotten Island, DreamWorks Animation’s fantasy-comedy adventure now playing in theaters, is the second kind. Set in the 1990s Philippines and steeped in Filipino folklore, it’s a film about friendship, memory, and the stories we grow up hearing — and it’s one of the loveliest things DreamWorks has ever made.

A story told with love

The setup is simple and perfect: two best friends, Jo and Raissa, find themselves trapped in Nakali, the mystical world they grew up hearing stories about. That’s it. No chosen-one prophecy, no universe to save — just two kids navigating a world built from the tales their families told them.

Writers-directors Joel Crawford and Januel Mercado drew on their own friendship and on Philippine mythology to build the film, and you feel that intimacy in every frame. This isn’t folklore as set dressing. It’s folklore as home. The film trusts its audience — kids and grown-ups alike — to fall into a world that feels ancient and brand new at the same time.

Animation that actually looks like something

Let’s talk about the look, because it’s extraordinary. Forgotten Island layers hand-drawn 2D expressions and playful “sticker” elements over 3D models, with a clear anime influence running through it. In an era when so much big-studio animation has started to look like it came off the same assembly line, this film has fingerprints all over it. You can feel artists’ hands in the frame.

Early work-in-progress screenings at CinemaCon and Annecy this year had already built buzz, and the finished film delivers. Several outlets are calling it one of DreamWorks’ best — CBR went so far as to say it “transcends its flaws and could begin a new franchise.” When critics start talking franchise before opening weekend, you know something special happened.

A cast that sings

The voice cast is stacked: H.E.R., Liza Soberano, Dave Franco, Jenny Slate, Manny Jacinto, Dolly de Leon, Jo Koy, Ronny Chieng, Lea Salonga, and Kevin McCann. Lea Salonga’s presence alone is a kind of benediction — a legend lending her voice to a film celebrating Filipino culture feels exactly right. H.E.R. brings real musical soul to the proceedings, and the ensemble clicks the way great comedy ensembles do: everyone gets their moment, nobody steps on anyone’s laughs. Crawford and Mercado built the story from their own friendship, and that warmth radiates through every performance — you can tell this was a labor of love, not a committee product.

Representation that feels like celebration

Here’s what elevates Forgotten Island beyond “good animated movie” into something more meaningful. Filipino culture isn’t the backdrop; it’s the engine. The mythology, the humor, the family dynamics, the 1990s Philippines setting — it all comes from a place of genuine affection. Jollibee even ran a global promotional campaign around the film celebrating friendship and Filipino culture, which tells you how deeply this resonated beyond the screen. Stories that honor where they come from have a way of traveling everywhere, and this one is built to travel.

The verdict

Forgotten Island is that rare family film that respects every member of the family. Kids get a thrilling, funny adventure in a dazzling world. Adults get a meditation on friendship and memory that sneaks up on you — fair warning, the third act got us. At 109 minutes, it never drags, never panders, and never mistakes noise for excitement.

The directors have already told Collider they have sequel and franchise ideas, and honestly? Good. Nakali is a world worth revisiting. But even if this were a one-and-done, it would stand as a high-water mark: proof that original stories, told with cultural specificity and real heart, still win. It’s the kind of feel-good moviegoing we need more of — and a reminder of how great storytelling keeps finding new voices.

Go see it. Bring someone you love. You’ll both come out smiling — and you’ll be glad you shared it together.

Prince Mario-Max Schaumburg-Lippe: Nimbus Flies Quarter-Scale Hybrid-Electric Plane Prototype

The future of regional flight just got a little more real over the Oregon desert.

Seattle-based startup Nimbus Aerospace has completed successful test flights of its quarter-scale NX1 hybrid-electric prototype near the Pendleton Airport UAS Range in Oregon, GeekWire reported on September 28. The aircraft flew twice — once for 3 minutes and 42 seconds in June, once for 6 minutes in August — and both flights hit their targets for aerodynamics, stability, and manufacturing validation.

Those are short flights. They are also the hardest kind to dismiss, because they happened at all.

A million-dollar model nobody wanted to fly

Here’s the part of the story that tells you this is real engineering and not a render. The NX1 is a quarter-scale model with a 15-foot wingspan and a 200-pound takeoff weight, and it cost more than $1 million to build. Nimbus struggled to find pilots qualified — and willing — to fly it remotely.

“Not many people wanted to fly this thing,” co-founder and CEO Adrian Groos told GeekWire. “It was a $1 million-plus model that was significantly bigger than anything else most people have flown, as well as heavier.”

That’s the unglamorous truth of aircraft development. The prototype phase is a long series of expensive, nerve-wracking steps, and the companies that survive it are the ones that keep showing up. Nimbus planned to finish testing earlier in the summer. Scheduling a pilot for an aircraft in this class took longer. They flew anyway.

The plan: half the fuel, 1,500 miles

Nimbus is building toward a full-scale hybrid-electric aircraft carrying six to eight passengers with a 1,500-mile range, burning about half the fuel of a comparable conventional airplane. Engineering on the full-scale prototype has already started, with test flights targeted for 2028 and customer deliveries aimed at late 2030.

The approach is pragmatic in a way the electric aviation sector could use more of. Instead of betting everything on a battery breakthrough, Nimbus is combining three things: pre-certified parts to shorten the regulatory path, high-lift wings to squeeze more efficiency out of every unit of energy, and an AI-assisted certification tool to move faster through the paperwork that grounds so many aircraft programs.

That last one matters more than it sounds. Certification is where electric and hybrid aircraft programs go to run out of money. The FAA has never certified anything quite like these designs, so every applicant is partly writing the rulebook while flying the test program. Anything that speeds that process — proven components, smarter documentation, tools that catch compliance issues early — is worth as much as a better battery.

The 1,500-mile range target is the number that separates Nimbus from the pack. Most electric aircraft in development top out at a few hundred miles, which limits them to short hops. A hybrid-electric six-seater that can fly Seattle to San Diego on half the fuel of today’s planes isn’t competing with air taxis. It’s competing with the turboprops and light jets that already serve regional routes — a market with paying customers today.

What it means

For travelers, regional air service is the part of aviation most in need of reinvention. Small airports have been losing scheduled service for years because the economics of flying a 50-seat jet half-empty don’t work. A smaller, far more efficient aircraft changes that math. If Nimbus hits its fuel targets, routes that airlines abandoned could become viable again — and new ones could open.

For cities, the site-selection question is already live. Nimbus is weighing Seattle against other locations around the country for building the full-scale aircraft. That’s a manufacturing facility, skilled jobs, and a supply chain up for grabs. Expect the competition for it to be quiet but intense.

For investors, the timeline is honest and therefore credible: full-scale test flights in 2028, deliveries in late 2030. Four years of hard engineering stand between Nimbus and revenue. The quarter-scale flights don’t guarantee the full-scale airplane works. But they do prove the team can design, build, and fly hardware — which, in this sector, already puts them ahead of most of the field.

The electric aviation race has no shortage of beautiful renderings. It has a shortage of aircraft that have actually left the ground. This week, one more did.

For more on autonomy in motion, see our Breaking News coverage, including Waymo’s robotaxi fleet surging 49 percent in Texas and Germany’s first cab-less driverless truck on public roads.

Prince Mario-Max Schaumburg-Lippe: General Intuition Raises $220M to Teach AI the Real World

The next frontier of AI isn’t a smarter chatbot. It’s AI that can see, move, and act: pick up a box, navigate a warehouse, climb a set of stairs. And on September 30, one of the biggest bets on that future got a lot bigger: New York–based General Intuition raised $220 million at a $6.2 billion valuation.

The backers are a who’s who of venture capital: Valor Equity Partners, Atreides Management, 776, Point72 Ventures, Khosla Ventures, and General Catalyst. One of the largest physical-AI raises of the month, and a clear signal that serious money is following the agentic-AI wave into the real world.

The capital is earmarked for GPU cluster acquisitions, accelerated foundation-model training, expanded machine learning and reinforcement learning research teams in New York, and commercial infrastructure spanning both virtual gaming systems and physical robotics platforms.

Why Games Are the Gym for Robots

The company’s core idea is elegant. Games were the original training ground for modern AI: think DeepMind learning Atari, AlphaGo conquering Go. General Intuition is betting that millions of hours of gameplay telemetry is the bridge to robots that function in messy reality.

Here’s the clever bit. Instead of hand-labeling the physical world, an expensive, slow, painstaking process, learn intent from players who already demonstrate it. Every game session is a human showing, moment by moment, what they meant to do: navigate this space, grab that object, avoid that obstacle.

General Intuition’s tech is a multi-modal “action foundation model” trained on massive proprietary datasets of multi-angle gameplay video combined with player input telemetry and real-time execution matrices. The model learns spatial navigation, physics interactions, and operational intent, the same skills a robot needs, and drives both autonomous agents in simulations and humanoid robots in the real world.

In other words: the training data is hiding in play. Humans already generate exquisitely detailed demonstrations of physical intent every time they game. General Intuition is just harvesting it.

The Embodied AI Wave Is Building

This raise doesn’t exist in isolation. Physical AI, the industry term for AI that acts in the physical world, is having its moment. Humanoid robots like Agility’s Digit are getting stronger, safer, and more capable. Driverless trucks are on public roads. Robotaxi fleets are scaling fast.

Each of those machines needs a brain that understands physics, not just language. A chatbot can be wrong and it’s a joke; a 200-pound humanoid can be wrong and it’s a lawsuit. The bar for “good enough” in physical AI is brutally higher than in text, which is why the training approach matters so much.

General Intuition’s angle, learning from demonstrated intent at massive scale, sidesteps the biggest bottleneck in robotics: labeled real-world data is scarce and expensive. Gameplay telemetry is abundant and rich. If the transfer from virtual to physical works, it’s a shortcut around years of slow data collection.

What $6.2 Billion Says About the Moment

Valuations this size say investors believe embodied AI is following the same arc as language AI: a period of expensive foundational work, then a sudden unlock. The GPU clusters, the expanded research teams, the commercial infrastructure across gaming and robotics: this is a company building the full stack, not a demo.

The New York angle is nice too. The company is expanding its ML and reinforcement learning research teams in the city, planting a flag for physical AI on the East Coast in an industry that tends to default to the Bay Area.

Where the Robots Go First

The commercial infrastructure piece of the raise deserves attention. General Intuition isn’t just training models — it’s building the deployment pipeline across virtual gaming systems and physical robotics platforms. The near-term beachhead is likely the warehouse: structured enough to be tractable, labor-hungry enough to pay for automation. Longer term, the same action models that navigate a game level could navigate a disaster site or a factory floor.

That’s the bet the investors are making with $220 million: that “action” becomes a foundation-model category the way language did, and that the company holding the best action model holds a position worth far more than $6.2 billion. It’s early. But every major AI platform started with someone training an expensive model on data nobody else thought to collect.

The Optimist’s View

Picture where this leads. Robots that learn movement the way humans do, by watching and doing at scale, could take on the dull, dirty, and dangerous work that’s hard to staff: warehouse shifts, disaster cleanup, elder care assistance. The path from a game controller to a helpful humanoid is longer than a press release makes it sound, but the direction is right, and $220 million is a serious down payment.

General Intuition’s bet is simple and, in retrospect, may look obvious: the internet taught AI to think; play will teach it to move. The funding announced today suggests a lot of very smart investors agree.

Prince Mario-Max Schaumburg-Lippe: Humanoid Robot Shipments Surge 432% in Six Months

The humanoid robot industry just had its breakout half-year.

New data released this week shows global humanoid robot shipments surging to nearly 25,000 units in the first half of 2026, up 432 percent from the same period last year. The market topped $740 million, up 323 percent. And for the first time, there’s a new company on top of the world.

Agibot has overtaken Unitree Robotics to become the largest humanoid robot maker on the planet by shipments — and by revenue, according to IDC’s tracker. A year ago, Unitree held the crown. The reshuffle happened that fast.

The numbers behind the surge

Two research firms released trackers this week and, while their methodologies differ, both point the same direction. IDC counts roughly 25,000 units shipped globally in H1 2026, up 432.1 percent year over year. Smart Analytics Global (SAG) offers a more conservative tally: about 19,100 units, up 272 percent. Either way, the industry more than tripled in a year.

China is the engine. IDC says the Chinese market alone shipped more than 19,000 units, up 426 percent, accounting for roughly 78 percent of the global total. SAG’s estimate is even more lopsided, crediting Chinese manufacturers with over 97 percent of global volume. The supply chain story explains why: China has the component makers, the AI model companies, and the system integrators all iterating together, which keeps driving costs down and production up.

IDC was impressed enough to raise its long-term forecast, now projecting global humanoid shipments to exceed 750,000 units by 2030, about 50 percent higher than its previous estimate.

How Agibot took the lead

Agibot shipped more than 8,600 units in the first half of the year, capturing 35 percent of the global market and over 45 percent of the Chinese market. That’s tenfold growth. Unitree still grew 170 percent to about 5,900 units and a 31 percent global share, with its G1 model doing strong business in research and education. When your rival grows 170 percent and you still lose the top spot, you know the market is moving fast.

Together, the two Chinese companies now hold more than half the global market. Behind them, a cluster of other Chinese firms — Booster Robotics, UBTECH, Galaxy General, Leju — is filling out the leaderboard.

Agibot says it’s now shifting from pure production volume to deployment. At its 2026 partner conference, the company rolled out what it calls seven deployment-ready productivity solutions: production-line loading and unloading, industrial transport, logistics sorting, guided tours and shopping assistance, service retail stations, security inspection, and commercial and industrial cleaning. Days earlier, AGIBOT delivered its 20,000th robot off the production line to Chimelong Spaceship Park, where more than 300 of its robots are now working across entertainment, education, visitor services, and hotel operations. The factory milestone and the theme-park deployment landed in the same week. That timing was not an accident.

Where the robots are actually going

The most encouraging number in the reports isn’t a shipment total. It’s the application mix.

In the first half of 2026, research and education, performance and display demos, and government data centers together accounted for 69 percent of shipments. That’s still a lot of robots doing research projects and stage shows. But it’s down from 84 percent for full-year 2025. The industry is diversifying out of the lab and into real work.

SAG’s report is blunt about where the real commercialization path runs: manufacturing, logistics, and warehousing. Structured environments, clearly defined tasks, measurable productivity. Automotive plants and electronics factories are the beachheads. In those settings, a humanoid that can load a line, sort a tote, or tend a machine earns its keep in numbers a CFO can check.

And the consumer market is finally appearing on the ledger. Vendors are shipping smaller, cheaper humanoids through e-commerce channels for children’s education and personal companionship. The second half of this year is expected to bring more of them. The robot that folds your laundry is still a dream. The robot that keeps your kid company while teaching math is a product listing.

What it means

For travelers and consumers, the 432 percent number is the sound of a price curve bending. Tenfold growth at Agibot means manufacturing scale, and manufacturing scale means the $3,000-$4,000 humanoid is no longer a fantasy — startups are already advertising preorders in that range. The home robot won’t arrive all at once. It’ll arrive as a tutor, a companion, a very expensive toy, and then one day it just lives in your house.

For cities and industries, the message is that the deployment phase has started. The robots leaving factories now are going to warehouses, production lines, and public venues, not just university labs. Regions that build the service infrastructure — maintenance, integration, training — will capture the economic upside of the next wave.

For investors, IDC’s raised 2030 forecast is the headline: 750,000-plus units a year within four years. The Agibot-Unitree reshuffle is the warning label. In a market growing this fast, today’s leader is one product cycle away from being lapped. Bet on the supply chain and the deployment pipeline, not the logo.

For more on robots and autonomy scaling up, see our Breaking News coverage, including Waymo’s robotaxi fleet surging 49 percent in Texas and Germany’s first cab-less driverless truck on public roads.

Prince Mario-Max Schaumburg-Lippe: Momenta Plans Thousands of Robotaxis for Dubai, Europe

The robotaxi race just got a serious third contender.

Momenta Global, the Chinese autonomous driving company backed by Mercedes-Benz, plans to have thousands of robotaxis on the road next year as it pushes into Dubai and more European cities. Shuo Xie, the head of Momenta’s robotaxi business, laid out the plan in an interview with Reuters on September 30: hundreds of vehicles by the end of this year, then several thousand by the end of next year.

Those numbers would put Momenta in genuinely global company. Alphabet’s Waymo operates around 4,000 robotaxis across 15 US cities. China’s Pony.ai is scaling too. Momenta, founded by a former Microsoft researcher and partnered with Toyota and BYD, has been the quieter name in the field. It doesn’t plan to stay quiet.

Dubai, Europe, and Japan: the expansion map

The geography of the announcement is the story. Momenta is already testing robotaxis in five Chinese cities, plus Munich and Abu Dhabi. Now it’s in talks with a “few” European cities for further expansion, plans to deploy vehicles in Dubai next year, and has named Japan a priority market.

That’s a deliberately international playbook, and it looks different from the American one. Waymo is still overwhelmingly a US story, expanding city by city at home. The Chinese players — Momenta, Pony.ai, WeRide — are building across the Middle East, Europe, and Southeast Asia, where regulators in places like Dubai and Abu Dhabi have been actively courting autonomous vehicle companies with permits and pilot zones.

Dubai’s interest is no secret. The emirate has set a public target of making a quarter of all journeys autonomous by 2030, and it has been signing up robotaxi operators as the path to get there. A company that can arrive with a proven vehicle and a fleet plan gets a red carpet. Momenta wants to be that company.

The chip play nobody is watching

Buried in the Reuters interview was the detail that might matter most. Momenta has been working with a chip company called XHeart to produce processors designed specifically for its autonomous driving software. Xie said the cost of those chips should be “significantly lower” than equivalent computing power from Nvidia, and that XHeart is now building a next-generation chip, the X9.

“In a couple of years the robotaxis that I am going to deploy around the world, hopefully a lot of them will be hosted on that X9 chip,” Xie said.

This is the unglamorous economics that decides the robotaxi business. Every robotaxi carries a small data center’s worth of compute, and that compute is one of the biggest line items in the vehicle cost. If Momenta can field capable autonomy on cheaper custom silicon while rivals pay Nvidia prices, the per-vehicle economics tilt in its favor. At hundreds of vehicles the difference is a rounding error. At thousands, it’s the business model.

Two businesses, one bet

Momenta runs two operations. The first sells advanced driver-assistance software to automakers — the revenue engine that funds the second. The robotaxi division is still early stage, with just over 100 vehicles deployed across three countries. The company raised around $751 million in a Hong Kong IPO in July to fuel the push, though its shares have since fallen about 45 percent as investors turned cautious on Hong Kong-listed AI stocks, and the company remains unprofitable while it spends heavily on research.

None of that is unusual for this industry. Every robotaxi company is burning cash to buy scale; the question is always whether the scale arrives before the money runs out. Momenta’s answer is a bet that international expansion — Dubai, Europe, Japan — plus cheaper custom chips gets it to unit economics faster than the competition.

What it means

For travelers, the robotaxi map is about to get a lot bigger than American suburbs. If Momenta’s timeline holds, Dubai visitors could be hailing driverless rides next year, and European cities are in active talks. The Middle East is shaping up as the proving ground where robotaxi companies compete head-to-head for the first time, and that competition should mean better service and lower prices.

For cities, Momenta’s pitch is a template worth studying. The company goes where regulators make room. Dubai and Abu Dhabi didn’t win robotaxi pilots by accident; they built the permitting frameworks and invited the industry in. European cities now in talks with Momenta are clearly paying attention. The jurisdictions that move first get the fleets, the data, and the jobs.

For investors, the thousands-by-next-year target is the number to watch. Hundreds of robotaxis is a pilot program. Thousands is a business. The XHeart chip partnership is the other number to watch — if custom silicon delivers the promised cost advantage, Momenta’s path to profitability looks different from everyone else’s. The fleet count at the end of 2027 will tell you whether this was a plan or a press release.

For more on the autonomous mobility race, see our Breaking News coverage, including Waymo’s robotaxi fleet surging 49 percent in Texas and Germany’s first cab-less driverless truck on public roads.

Prince Mario-Max Schaumburg-Lippe: Lava World HD 3167 b Keeps a Surprising Atmosphere

There is a planet 154 light-years away, in the constellation Pisces, where a year lasts a single Earth day. Its surface is hot enough to melt rock. By every rule astronomers thought they knew, it should be a naked ball of magma — any atmosphere long since blasted away by stellar wind and high-energy radiation.

It has an atmosphere anyway.

The planet is HD 3167 b, a rocky super-Earth orbiting a K-type star so closely that it completes a full lap in about 24 hours. And according to new research trending through the science press on September 30, it is now the coldest lava world found to date with evidence of an atmosphere. “Coldest” is doing a lot of heavy lifting in that sentence — this is still a world of molten rock — but in the physics of atmospheres, relative cold changes everything. Or so we thought. HD 3167 b just voted otherwise.

How do you weigh air on a world of lava?

You cannot exactly send a weather balloon. The team used the James Webb Space Telescope and a technique called the secondary eclipse method: they measured the tiny dip in light when the planet slips behind its star, disappearing from view. By comparing the system’s brightness with and without the planet’s contribution, astronomers can work out how hot the planet’s day side is.

Here is the part that made researchers sit up: the day side was cooler than expected. On an airless rock, heat has nowhere to go — the day side broils while the night side freezes. But HD 3167 b’s dayside temperature suggested heat was being carried around to the night side. Something was moving that heat. The best explanation, and the one the team landed on, is an atmosphere redistributing warmth around the globe — the same kind of heat-spreading blanket effect we see on Venus.

The study was led by University of Chicago graduate student Brandon Park Coy, working with Edwin Kite, and published in The Astrophysical Journal Letters. It is the first result from a broader program led by Megan Weiner Mansfield of the University of Maryland, which is surveying ten ultra-hot lava worlds. One world in, and the survey has already broken a record. Not a bad start.

Why this one matters more than most

Of the more than 6,300 exoplanets catalogued so far, only a handful are rocky worlds with evidence of atmospheres. Gas giants are easy to study; small rocky planets are faint, their atmospheres whisper-thin against the glare of their stars. Every confirmed rocky atmosphere is precious data.

But HD 3167 b carries an extra layer of meaning, and it is the one Coy himself highlighted: “We’re interested in studying these kinds of planets because we think early Earth might have looked a lot like a lava world.”

Read that again. Four and a half billion years ago, our own planet may have been a magma-ocean world not unlike HD 3167 b — and yet here we are, with oceans, forests, and someone writing about it on a Wednesday morning. Understanding how a lava world can cling to an atmosphere is, in a very real sense, studying the opening chapter of our own story. The question is not just “what is that planet like?” It is “how did a place like that become a place like this?”

That is the quiet thrill running underneath the exoplanet field right now. Each of these scorched rocks is a time machine pointed at Earth’s infancy.

What comes next

The Mansfield survey still has nine lava worlds to go, and HD 3167 b has set the tone: expect surprises. A few things to watch:

Confirmation and composition. “Evidence of an atmosphere” is the careful phrasing of good science. Follow-up observations will try to pin down what that atmosphere is actually made of — and how thick it is. Different gases tell different stories about where the air came from: outgassed from the interior, or delivered from elsewhere.

The wind-stripping puzzle. Close-orbiting rocky planets face a brutal environment. Stellar wind and high-energy photons should strip atmospheres fast. HD 3167 b is holding on anyway, which means our models of atmospheric escape need updating — or the planet has a way of replenishing its air that we have not figured out yet. Either answer is interesting.

The early-Earth connection. Every lava world with an atmosphere is another data point for models of how Earth kept its own air through the magma-ocean era. The same spirit of patient, ambitious engineering that is teaching aircraft to fly themselves past highway traffic is at work here — except the vehicle is a space telescope, and the destination is deep time.

There is something deeply optimistic about this kind of discovery. The universe keeps handing us worlds that should not exist according to the old rules, and each one forces the rules to get better. HD 3167 b is 154 light-years of molten rock with a wisp of atmosphere it has no business keeping — and it may be holding a mirror up to the planet we live on.

Not bad for a Wednesday. It has been a week for looking up — whether at the future of flight over New York or at a lava world 154 light-years out — and the view keeps getting better.

Prince Mario-Max Schaumburg-Lippe: DoorDash Air Brings Drone Delivery to Doorsteps

Your burrito is about to fly. Really.

On September 30 in San Francisco, DoorDash unveiled DoorDash Air, a purpose-built autonomous drone delivery system designed to carry restaurant orders from kitchen to doorstep by air. Pilot deliveries begin in Northern California, with Chipotle, Popeyes, and a small family-run spot called Momo N Curry signed on as the first partners.

This isn’t DoorDash strapping a bag to an off-the-shelf drone. The company built the aircraft, the ground equipment, and the dispatch software as one system, and it started in an unusual place: not with the flying machine, but with the kitchen.

The first and last ten feet

Harrison Shih, the head of DoorDash Air, put the design philosophy in plain terms. “We didn’t start with a drone and ask what would fit. We started with what people order and how local businesses actually operate, then built the entire system from there.”

That means the team obsessed over what it calls the first and last ten feet: getting the order from a busy kitchen into the aircraft, and getting it from the aircraft onto your doorstep. They built loading systems, kitchen handoffs, and packaging before they finalized the airframe. The logic is hard to argue with. A drone that can’t reliably pick up a hot order from a cramped takeout counter during the dinner rush is a toy, not a logistics network.

The data shaped the hardware. DoorDash analyzed years of actual order data — what people order, how much it weighs, how far it travels — and designed the aircraft around it. The company says about 80 percent of today’s typical DoorDash restaurant orders are light and small enough for the aircraft to carry safely. A sorting platform then decides, order by order, which ones make sense to fly, weighing distance, weight, weather, and what’s actually in the bag.

Quiet enough for the neighborhood

Noise is the issue that kills drone delivery pilots, so the aircraft specs read like a peace treaty with suburbia. Six slow-spinning propellers keep cruising noise down to roughly the level of a passing car at delivery height. Pickup and dropoff happen by winch, which means the drone can hover and lower the order smoothly instead of landing in your yard. Backup systems can bring the aircraft safely to the ground if something goes wrong.

Speed is the other half of the pitch. In early tests, DoorDash says restaurant-to-door delivery times averaged under five minutes. Five minutes. That’s not a delivery estimate, that’s a microwave timer. Whether those numbers hold at scale, with weather and traffic and real neighborhoods, is the question everything else depends on. But the ceiling is clearly higher than anything wheels can promise.

The app experience gets a flight-tracker treatment: order prep time, exact flight time, and the moment the order is in the air and landing at your designated spot. For anyone who has watched a driver’s car icon crawl through traffic on a map, the appeal is obvious.

Why this one might actually scale

Here’s what separates DoorDash Air from the drone announcements that fizzle. DoorDash already has the demand, the merchants, and the dispatch brain. The drone is a new mode inside an existing network, not a standalone operation hunting for customers.

Everything runs on the same Autonomous Delivery Platform that already coordinates Dashers, the company’s Dot ground delivery robot, and third-party autonomous partners. The platform decides the fastest, most reliable way to reach you — driver, robot, or drone — factoring in kitchen prep time and routing in real time. DoorDash says it has already completed hundreds of thousands of autonomous deliveries across its network. That’s the kind of operational base that turns a pilot into a rollout.

The merchant angle matters too. Popeyes’ chief digital officer James Huang said the appeal is that restaurant crews change nothing: “The same crews making our chicken today just hand it off the way they always have and the drone does the rest.” And Mohan Khatiwada, the owner of Momo N Curry, said it felt like someone finally designed delivery tech for a small business: “We only have a few people working in our front of house, so that means every minute we’re figuring out how to get an order out the door matters that much more.”

What it means

For consumers, drone delivery has been five years away for about a decade. This is the first version backed by a company that already delivers your dinner every Friday. If the Northern California pilot works, expect the expansion pattern to follow DoorDash’s existing density: suburbs first, where yards give drones room to work and roads give drivers traffic to sit in.

For local businesses, the pitch is a new delivery mode with no operational overhaul. Small restaurants that can’t afford their own drivers get the same air freight as Chipotle. That levels a playing field that has been tilted toward chains with delivery budgets.

For cities, the questions are familiar: noise, privacy, airspace over neighborhoods. DoorDash designed around them — the quiet propellers, the winch, the remote landing spots — because it knows regulators and residents will decide how far this goes. The technology is ready for its audition. The neighborhood is the judge.

For more on autonomous vehicles already earning their keep, see our Breaking News coverage, including Waymo’s robotaxi fleet surging 49 percent in Texas and Germany’s first cab-less driverless truck on public roads.

Prince Mario-Max Schaumburg-Lippe: Joby Logs 3,100-Mile Autonomous Cross-Country Flight

The most remarkable flight of September didn’t carry a single passenger. It barely needed a pilot.

Joby Aviation confirmed earlier this month that its autonomy software had flown a modified Cessna Caravan more than 3,100 miles across the United States. The aircraft, dubbed the J208, handled taxiing, takeoffs, navigation, and landings on its own. A safety pilot sat in the cockpit because the rules say one has to. The airplane didn’t need him to touch the controls.

This wasn’t a quick loop around a test range. The 3,199-mile eastbound leg ran from California to North Carolina, and the tour kept rolling from there, with stops that included Louisville, Kentucky, and a planned run from Oklahoma City to Salt Lake City. Ground-based pilots monitored the whole thing remotely, from Joby’s headquarters in California and from Shaw Air Force Base in South Carolina. When the aircraft needed instructions from air traffic control, a remote pilot handled the radio and could push flight-plan updates to the cockpit.

A barnstorming tour for the autonomous age

On September 29, the J208 stopped at OKC Will Rogers International Airport in Oklahoma City, where Joby’s chief policy officer Greg Bowles walked local officials through the system. Bowles reached for a century-old analogy: the barnstormers who flew from town to town in the 1920s showing Americans what airplanes could do. Same idea here, except the airplane flies itself.

The comparison lands because of where this technology is aimed. Nobody is pitching a pilotless Caravan as the future of family vacations. The use cases Joby names are emergency response, medical transport, and freight that needs to move through places where pilots are scarce or runways are rough. A medium cargo airplane that can taxi itself to the runway, climb out, navigate a thousand miles of airspace, and put itself down at the other end changes the math for all of that.

For travelers, this one is indirect but real. The same autonomy stack learning to thread a Caravan through real American airspace is the stack Joby plans to fold into its electric air taxis. Every mile the J208 flies under remote supervision is a mile of operational data feeding the systems that will eventually carry passengers in New York and Los Angeles. Joby is in stage four of the FAA’s five-stage type certification process for its passenger eVTOL, and it is targeting commercial flights with Delta in late 2026 or early 2027.

The Pentagon just raised the ceiling

The cross-country flight arrived with a financial exclamation point. In the Pentagon’s contract announcement for September 28, the US Air Force raised the ceiling on Joby’s autonomous logistics and cargo contract by $45 million. No new money was obligated on the spot; the change raises the amount the Air Force can order through AFWERX, with completion set for March 1, 2029.

Contract ceiling raises don’t make headlines the way a launch does, but inside defense procurement they are a meaningful signal. A program that isn’t performing doesn’t get headroom. The Air Force is exploring autonomous cargo for logistics in remote or hard-to-reach areas, and a Caravan that can fly a long route with minimal human input is exactly the kind of platform that fits.

It also tells you something about Joby’s strategy that the air taxi hype tends to obscure. The company has two aircraft programs running in parallel: the flashy electric passenger aircraft everyone photographs, and a quieter autonomy business that bolts self-flying software onto conventional airplanes. The second one is generating real government demand today. It doesn’t need a type certificate for a brand-new aircraft class. It just needs the airplane to keep flying itself, mile after mile.

What it means

For cities and airports, the Oklahoma City stop was the tell. Joby is actively showing this technology to local officials, walking them through how autonomous operations fit into existing airports and airspace. Expect more states to start angling for a role, the way Texas did for autonomous trucking. The infrastructure of self-flying cargo will need friendly jurisdictions, charging and maintenance sites, and remote operations centers. That is jobs and investment, and the competition for them is already starting.

For investors, the contrast with the eVTOL sector’s cash-burn narrative is worth noting. Joby is still spending heavily on its passenger aircraft program, like every company in the space. But the autonomy line gives it something its rivals mostly lack: a product generating contract interest right now, on aircraft the FAA already understands. That doesn’t make the company profitable tomorrow. It does make the story more than one bet.

For everyone else, the takeaway is simpler. The pilot shortage isn’t going away, rural airports are struggling, and cargo still has to move. An airplane that can safely fly itself from coast to coast with a human watching from a desk in California just proved it can do the job. The sky is about to get a lot more automated, and this time the proof is 3,100 miles long.

For more on how autonomous freight is reshaping logistics, see our Breaking News coverage, including Germany’s first cab-less driverless truck on public roads and Waymo’s robotaxi fleet surging in Texas.

Prince Mario-Max Schaumburg-Lippe: Days of Thunder 2: Tom Cruise Back on the Track

Thirty-six years. That’s how long it’s been since Cole Trickle first white-knuckled his way around the track in 1990 — and Tom Cruise is finally coming back. Paramount has officially dated Days of Thunder 2 for June 2, 2028, with Cruise returning as the veteran NASCAR driver and Anne Hathaway co-starring as a talented team owner and engineer. If your pulse quickened reading that, you’re not alone.

The legacy play done right

Hollywood loves a legacy sequel, but it rarely loves them well. This one has a fighting chance because the pieces fit. Cruise described the plot to Entertainment Tonight as “a fun story” — classic Cruise understatement, the same man who called hanging off an airplane “a fun story,” probably. He called Hathaway “talented,” and coming from the hardest-working movie star alive, that lands.

Hathaway told ET she begins “on the track” in March, right after her new film Verity opens October 2, 2026. Read between the lines: real track time, real preparation. This isn’t a green-screen cameo; she’s putting in the work the way Cruise always does.

Why Hathaway changes everything

Here’s the inspired part. Hathaway isn’t playing the love interest or the sideline reporter. She’s a team owner and an engineer working alongside Cruise’s character. That’s a genuinely modern dynamic — brains and grease under the same roof — and it gives the sequel a reason to exist beyond nostalgia. Cole Trickle facing “modern racing challenges” (plot specifics remain unconfirmed, so we’ll leave the inventing to the fan forums) with a brilliant engineer in his corner? That’s a movie.

Director Jonathan Levine (50/50) might seem like a left-field pick until you remember what he does best: heart, humor, and characters you actually care about. A racing movie lives or dies on whether you care who’s in the car. Levine cares about people. Smart hire.

Racing’s moment

There’s never been a better time to make a racing movie. The sport’s cultural footprint has exploded — new fans, packed weekends, and a whole generation discovering the thrill of the track. Cruise, who famously does his own stunts and insists on the real thing wherever cameras allow, is the perfect ambassador for that energy. You can already picture the practical racing footage, the in-car cameras, the sound design that rattles your ribcage. Nobody fakes it like Cruise refuses to fake it.

And Hathaway heading “to the track” in March tells you everything about the production’s ambitions. Real preparation, real locations, real speed. In an age of weightless digital spectacle, there’s something deeply appealing about a movie that plans to make you feel the G-forces.

The Cruise summer-movie machine

Let’s be honest about something: nobody protects the theatrical experience like Tom Cruise. From the Mission: Impossible run to Top Gun: Maverick — the film that basically reminded the world why movie theaters exist — Cruise treats the big screen like sacred ground. Paramount knows it, which is why Days of Thunder 2 is one of their flagship theatrical bets for summer 2028.

And the appetite is real. Motorsport culture is surging right now — from packed grand prix weekends to racing’s growing grip on pop culture — and a Cruise-led return to the track lands right in the slipstream.

What we’d love to see

No spoilers to parse, no leaks to decode — just the good old-fashioned pleasure of anticipation. Will Cole Trickle be the mentor now, the aging lion showing a new generation how it’s done? Will the film reckon with how much racing — and Cruise — has changed in 36 years? The script is by Will Staples, and the only promise so far is Cruise’s own: it’s “a fun story.” Sometimes that’s exactly enough.

Our early verdict

Enthusiastic, with the engine revving. A beloved character, a genuinely exciting co-star in a genuinely exciting role, a director who understands heart, and the most reliable movie star on the planet treating a summer release like it matters. Hollywood’s biggest nights are built on exactly this kind of star power, and June 2, 2028 is officially circled on our calendar.

Prince Mario-Max Schaumburg-Lippe: Nvidia Taps Jacobs for Digital Twin at AI Research Facility

Nvidia sells the GPUs that power the AI boom. Now it wants to sell the software that runs the buildings those GPUs live in. On September 30, Jacobs (NYSE: J) announced it was selected by Nvidia to deploy its Data Center Digital Twin at a large-scale U.S. AI research and development facility, under a three-year software-as-a-service agreement.

The platform is built on Nvidia Omniverse libraries, the company’s simulation and 3D framework, and it does far more than draw a pretty 3D picture of a building. It handles dynamic power-load balancing, energy forecasting, liquid-coolant leak detection monitoring, predictive maintenance, and operator training.

In plain terms: it’s a living, breathing software mirror of the data center, constantly updated, that can predict problems before they happen and help operators rehearse fixes before they touch a single real server.

What a Digital Twin Actually Is

The phrase gets thrown around a lot, so here’s the simple version. A digital twin is a real-time virtual copy of a physical thing: a building, a factory, a jet engine. Sensors feed it live data; software simulates what’s happening and what’s likely to happen next.

For an AI data center, this matters enormously. These facilities are among the most energy-hungry buildings on Earth. A single large AI training cluster can draw as much power as a small city. Keeping that power balanced, the cooling flowing, and the hardware healthy is a 24/7 job. A mistake can cost millions in downtime.

A digital twin lets operators see the whole system at once: which racks are heating up, where power is spiking, whether a coolant line is showing early signs of a leak. It forecasts demand so the facility can buy energy smarter. And it lets staff train on the virtual copy: practice a failure scenario in simulation rather than learning on the live, expensive real thing.

Jacobs’ EVP Amer Battikhi put it this way: the project reflects “the growing role of digital twins in helping operators manage critical infrastructure environments.” Corporate phrasing, sure — but the underlying point is sound. When the infrastructure is this complex and this expensive, flying blind isn’t an option.

Nvidia’s Second Act

Here’s the deeper story. Nvidia built its empire selling the picks and shovels of the AI gold rush: the chips. This deal is about selling the operating system for the mine.

Jacobs describes its twin as an “intelligent operating layer” for AI agents, and that phrasing is worth pausing on. It suggests a future where software agents don’t just answer tickets and summarize documents: they schedule power, reroute cooling, and orchestrate the physical plant. The data center becomes something an AI can operate, not just something humans monitor with dashboards.

That’s the quiet second act of the AI buildout. The first act was raw compute: buy more GPUs, build more halls. The second act is efficiency software that makes the same GPUs do more work per watt. Energy and cooling management is becoming the competitive moat of data centers, because power, not chips, is increasingly the scarce resource. Every AI lab on Earth is hunting for megawatts; the ones that squeeze more out of each megawatt win.

The market seems to like the trajectory. Nvidia shares traded near $233–235 on September 30, up roughly 3% in September, on track for a third straight monthly gain and within 2% of the May record close of $236.45. Investors are pricing in a company that’s expanding from hardware into infrastructure software, and infrastructure software has much nicer margins.

Why This Matters Beyond One Facility

This is Nvidia deploying the technology at its own R&D facility, eating its own cooking, as they say. If the twin proves out at a large-scale AI research site, it becomes a reference installation for every hyperscaler and enterprise building AI data centers next. And there will be many of those: the physical AI wave (humanoid robots like Digit, driverless freight) all runs on data centers that need managing.

There’s also an environmental angle worth celebrating. Smarter power-load balancing and energy forecasting mean less wasted electricity. Predictive maintenance means hardware lives longer instead of failing early. At the scale of AI data centers, even single-digit efficiency gains translate into enormous amounts of energy saved. That’s energy that never has to be generated at all.

The three-year SaaS structure matters too. This isn’t a one-time consulting gig; it’s software with a subscription, and subscriptions are how infrastructure companies compound. Nvidia is learning the enterprise software playbook, and it’s starting with its own house.

The Takeaway

Digital twins have been a promising idea for a decade. What’s new is the combination: AI-scale data centers creating the pain, Omniverse providing the simulation muscle, and AI agents arriving as the eventual operators. Nvidia hiring Jacobs to twin its own R&D facility is the signal that this stack is leaving the lab and entering the machine room. The AI buildout isn’t just about bigger chips anymore. It’s about smarter buildings.