Prince Mario-Max Schaumburg-Lippe: 20 Fun Things to Do in NYC Today: Salsa, Jazz & Movies

Wednesday in New York has a way of sneaking up on you. One minute it’s a regular workday, the next you’re choosing between a salsa social in Washington Square Park and a jazz set on Orchard Street. Today’s lineup — twenty picks pulled together for September 30th — leans hard into that beautiful problem.

Here’s the full rundown, morning to night. All times are EDT.

Morning: markets and movement

8:00 AM — Bartel-Pritchard Square Greenmarket. Prospect Park West & 15th St, Brooklyn. The classic early-bird move: farm-fresh produce, flowers, and coffee before the city fully wakes up.

8:00 AM — Line Dance Fitness. Betsy Head Park Handball Courts, Boyland St & Dumont Ave, Brooklyn. A workout that doesn’t feel like one — line dancing outdoors with a group.

Afternoon: midtown musi

2:30 PM — Big City Folk: Midtown Music. Greeley Square Park, Broadway & 6th Ave (W 32nd–33rd St), Manhattan. A midday breather with live folk in the middle of Midtown — easy to catch on a lunch break.

Evening: the main event(s)

From five o’clock on, the city goes into overdrive. Here’s everything, in order:

5:00 PM — New York Swings with Josh Lee and the Family. Manhattan West Plaza, 385 9th Ave, Manhattan. Swing dancing outdoors as the workday ends — bring a partner or come solo, dancers tend to rotate.

5:30 PM — intenSati in Forest Park. Sgt. Schaefer Oval Lawn, Myrtle Ave & Park Lane South, Queens. Part workout, part spoken affirmation, all energy — intenSati classes are famously uplifting.

6:00 PM — Circus Arts in Herald Square. Herald Square Park, Broadway at W 35th St, Manhattan. Acrobats and aerialists in one of the city’s busiest plazas.

6:00 PM — Woven Together Fashion Show. Positive Exposure Gallery, 83 Maiden Lane, 4th Floor, Manhattan. An evening of fashion with a message — Positive Exposure’s work celebrates people of all abilities.

6:00 PM — Salsa Social. Garibaldi Plaza, Washington Square Park, 5th Ave & Waverly Pl, Manhattan. Open-air salsa under the arch — one of the night’s best bets if you want to meet people.

6:00 PM — Waterfront Workouts: Amp’d Bootcamp. Pier 2, Brooklyn Bridge Park, 150 Furman St, Brooklyn. High-energy bootcamp with skyline views. You’ll earn dinner.

6:00 PM — Open Mic. Q.E.D. Astoria, 27-16 23rd Ave, Queens. Astoria’s beloved comedy-and-more room opens its stage — comics, storytellers, and the wonderfully unpredictable.

6:00 PM — Tango in the Park. Sutton Place Park, East River (E 56th–57th St), Manhattan. Argentine tango as the sun drops over the East River. Hard to beat.

6:30 PM — Evening Salute to the Sun (Sunset Yoga). 66th Street Plaza, Riverside Park South, Manhattan. An all-levels flow timed to golden hour along the Hudson.

6:30 PM — Orchard Street Jazz Festival: Anna Webber’s Shimmer Wince. Close Up, 154 Orchard St, Lower East Side. Adventurous, modern jazz in an intimate LES room.

6:30 PM — Cate Le Bon with Lucrecia Dalt and Dagmar Zuniga. Knockdown Center, 52-19 Flushing Ave, Queens. Art-pop at its most interesting — three distinctive voices, one big room.

6:30 PM — Maggie FM + Shearing + Raybody. Night Club 101, 101 Avenue A, Manhattan. A triple bill for the East Village’s indie faithful.

6:30 PM — The Art of Muzic. SOB’s, 204 Varick St, Manhattan (doors 6:30 PM). The legendary Sounds of Brazil room hosts a night of live music.

7:00 PM — BMI Acoustic Lounge: Bentley Robles + Anne Tello. Lucinda’s, 169 Avenue A, Manhattan. Stripped-down sets from two songwriters.

7:00 PM — Weak Signal + Masaaki. Union Pool, 484 Union Ave, Brooklyn. Guitars and noise in Williamsburg’s favorite backyard venue.

7:00 PM — Patsy’s Punk Bitch Happy Hour. Bossa Nova Civic Club, 1271 Myrtle Ave, Brooklyn. Happy hour with a punk snarl — loud and fun.

7:15 PM — Movies Under the Stars in Harlem: “On Becoming a Guinea Fowl.” Jackie Robinson Park Bandshell, 85 Broadhurst Ave, Harlem. Outdoor cinema to close out the night. And if one film isn’t enough this week, our Resident Evil review covers what’s haunting theaters right now.

Best for meeting people

If tonight’s about making new friends, the original roundup points to four winners: the Salsa Social in Washington Square Park, New York Swings at Manhattan West, the QED open mic in Astoria, and the early-evening dance parties generally. Hard to argue.

Good to know

Outdoor events are weather-dependent, so it’s worth a quick check before heading out. The roundup doesn’t list ticket prices, so confirm with the venue if you’re unsure. And if you’re crisscrossing the boroughs for all of this, robotaxi fleets are scaling up fast — the future of getting across town is arriving quickly.

Twenty picks, one Wednesday. See you out there.

Prince Mario-Max Schaumburg-Lippe: Resident Evil Review: Zach Cregger’s Horror Triumph

Video game movies used to be where good ideas went to die. Then directors like Zach Cregger showed up. His Resident Evil — in theaters now — isn’t just the best film in the franchise’s history. It’s one of the best horror films of the year, full stop. And audiences agree: a $60 million domestic opening, $200 million-plus worldwide as of this week, and a 96% Rotten Tomatoes score. When was the last time a horror movie made everyone this happy?

Dread, done right

The premise is lean: Bryan (Austin Abrams) finds himself in a race for survival, in a brand-new story built from the bones of the beloved games. No homework required. You don’t need to know the lore, the timelines, or which game had the mansion. You just need a pulse.

What makes it sing is Cregger’s understanding of what actually made those games great. He told The Atlantic he plays them because “the game design and the pacing and the dread is so effective… That, to me, is the heart and soul of those games.” That’s the whole movie in one quote. This is horror built on pacing, not jump scares — corridors that feel too long, silences that feel too loud, a camera that knows exactly when to look away.

Abrams carries it beautifully. Bryan isn’t a superhero; he’s a guy trying to stay alive, and Abrams plays every shade of that fear without ever tipping into melodrama. You believe him. That’s rarer than it sounds.

Craft you can feel

What separates this from the average horror release is the craft. The sound design alone deserves mention — every creak, every distant thud, every held breath is placed with intention. Cregger understands that dread is a rhythm, and he conducts it like a maestro. The production design leans into decay and detail: environments that tell stories before anyone speaks. It’s the kind of filmmaking that rewards the big screen, where scale and sound do half the scaring for you. This is a director who learned pacing from games and atmosphere from the masters, and it shows in every frame.

The numbers tell the story

Let’s linger on the box office, because it’s genuinely remarkable. Sixty million domestic out of the gate. A second weekend holding at $23.3 million and pushing past $100 million domestic, per TheWrap’s roundup. Two hundred million worldwide and counting. For an R-rated horror film in September, those are the kind of numbers that make studio executives weep with joy.

And here’s the kicker: the same week Resident Evil crossed $200 million, Cregger’s next film — the Jennifer Lawrence sci-fi thriller The Flood — was announced. One director, one week, a historic hit and a dream project greenlit. Hollywood loves a winner, and this is how winning weeks look.

Why it works as an adaptation

Most game adaptations fail because they treat the source like a Wikipedia page to summarize. Cregger treated it like a feeling to recreate. The dread, the resourcefulness, the sense that safety is always one wrong turn away — that’s the games, translated honestly into cinema. Parade calls it a box office hit; we’d call it a template. This is how you do it.

The verdict

Resident Evil is scary, smart, and propulsive — the rare franchise entry that respects its source while doing something entirely its own. Cregger has now delivered Barbarian, the Oscar-winning Weapons, and this: three for three, each one distinct, each one excellent, each one proof that original voices still win big. He’s not just the most exciting horror director working. He might be the most exciting director working, period.

If you like horror, see it on the biggest screen you can find. If you don’t usually like horror, see it anyway — this is the one that converts people. Few films earn both critical love and crowd love in the same breath; this one did, and then some. A genuinely joyful week for the genre, and a triumph worth celebrating.

Prince Mario-Max Schaumburg-Lippe: India’s Archery Golds Shine at Asian Games 2026

Two gold medals. One day. One archer standing on the top step of the podium twice before dinner.

September 30 belonged to India’s compound archers at the 2026 Asian Games in Nagoya. First, the women’s team — Jyothi Surekha Vennam, Chikitha Taniparthi, and Prithika Pradeep — retained India’s Asian Games gold, defeating China 238-234 in the final. That 238 was not just a winning score. It equalled the world record, matching the mark South Korea set at the 2014 Incheon Asian Games twelve years ago.

Then, later the same day, Chikitha Taniparthi walked back out with Sahil Rajesh Jadhav for the compound mixed team final — and won that too, beating South Korea in a shoot-off. Two events, two golds, one extraordinary afternoon. It was also India’s seventh gold medal of the Games, and the medal race in Nagoya is very much on.

A final worth the record books

Let us put 238-234 in perspective. In compound team archery, each archer shoots with mechanical precision aids, and scores in major finals routinely land in the 230s. The difference between gold and silver is usually a handful of points — the width of an arrow shaft, the tremor of a heartbeat. India’s trio did not just edge China. They shot a number that ties the best team score ever recorded at the Asian Games.

Twelve years is a long time for a record to stand. South Korea’s 2014 mark survived three Asian Games cycles, countless finals, and the steady improvement of equipment and training across the continent. Tying it on the biggest stage, against China, in a gold-medal match — that is the kind of performance archers dream about and almost never get to live.

And retaining the title matters in its own right. Winning once can be a breakthrough. Winning again, four years later, with the target on your back and every rival gunning for you, is a dynasty taking shape.

Chikitha Taniparthi’s golden double

The day’s standout individual story is Chikitha Taniparthi. Team gold in the morning session, then back on the range for the mixed team final alongside Sahil Rajesh Jadhav — and a shoot-off win over South Korea to make it two.

Shoot-offs are archery’s version of a penalty shootout: single arrows, sudden death, nowhere to hide. To win one against South Korea — the country that has defined excellence in this sport for decades — and then to have already won gold earlier the same day? That is composure most athletes never find once, let alone twice in a day.

Jadhav deserves his share of the spotlight too. Mixed team archery demands a particular chemistry: two archers syncing rhythm, timing, and nerve. Against the Koreans, in a shoot-off, that partnership held. Gold number seven for India at these Games came down to two people trusting each other completely, one arrow at a time.

What this says about Indian archery

There was a time, not long ago, when India was the plucky challenger in Asian archery — talented, dangerous, but usually watching someone else climb the top step. Those days are fading fast. Back-to-back women’s team titles, a world-record-equalling score, and a mixed team gold over South Korea in a single day is not an upset. It is a statement.

The compound program in particular has become a genuine powerhouse. While much of the global spotlight falls on recurve — the Olympic discipline — India’s compound archers have been quietly assembling one of the deepest squads in the world. Days like this one in Nagoya are what depth looks like when it peaks at the right moment.

There is also something to be said for how this team wins: calmly. No drama in the reporting from Nagoya, just scores that kept climbing until the record book had to make room. In a sport measured in millimeters, temperament is equipment. India’s archers brought plenty of both.

And spare a thought for the less-heralded names on the scoresheet. Jyothi Surekha Vennam has been the steady anchor of this squad for years, the experienced hand younger teammates lean on when finals get tight. Prithika Pradeep shot her arrows in a world-record-equalling team round on one of the biggest stages in the sport. Gold medals have a way of remembering only the headlines; the truth is they are always a team effort, down to the last arrow.

The view from here

The Asian Games are only getting started, and India’s medal tally is already telling a story — seven golds and counting, with archery now firmly among the headline acts. For the trio of Vennam, Taniparthi, and Prithika Pradeep, the women’s team gold is validation of a four-year cycle done right. For Taniparthi and Jadhav, the mixed gold is proof that India’s pipeline runs deep enough to win twice in a day.

Sports weeks like this one remind you why the Games matter — the same reason a centennial street feast can turn a whole neighborhood into a party or a Grand Prix weekend can take over Little Italy: excellence, witnessed live, is one of the purest joys there is.

So here is to the archers of Nagoya. Two hundred thirty-eight points. Two gold medals. One unforgettable Wednesday. The record book has a new entry, and it reads: India.

Prince Mario-Max Schaumburg-Lippe: New Motion-Capture Lab Trains Humanoids to Move Naturally

Everyone obsesses over robot brains. The bodies are the hard part. On September 30, Innodata Inc. (Nasdaq: INOD) announced the opening of a new research and development lab in New Jersey dedicated to one of the toughest problems in robotics: teaching humanoids to move like humans.

The lab was built with Vicon, the motion-capture leader, which consulted on the lab’s design. It uses high-precision, low-latency infrared optical tracking cameras that measure movement down to sub-millimeter accuracy, a leap beyond wearable IMUs or single-camera video analysis.

The purpose: generate training data for humanoids, industrial robots, and other “physical AI,” and independently validate robot performance data. Here’s the key distinction. Many data providers infer 3D motion from 2D video: essentially guessing depth. Innodata captures 3D directly from the body. No guessing.

Frank Tanner, the company’s VP of robotics and physical AI, put it bluntly: “There’s just no substitute for direct 3D motion capture… When you’re training a humanoid that weighs almost 200 pounds, your readings can’t be in the ballpark. They need to be precise.”

Why “Close Enough” Doesn’t Cut It

A chatbot that misplaces a comma is a punchline. A 200-pound humanoid that misplaces a footstep is a hazard. That’s why sub-millimeter precision matters.

Think about what walking actually requires. Balance, timing, weight transfer, joint angles: hundreds of tiny coordinated adjustments per second. A human does it without thinking. A robot has to learn every one of them, and “approximately right” compounds into falling over. Or worse.

This is the ground-truth problem of physical AI. Language models trained on the internet, which, as one founder put it this week, is now exhausted as a data source. “The internet is exhausted, the physical world is not.” The next data centers, in a sense, are motion-capture studios.

The lab also serves a second role that’s easy to overlook: independent validation. As humanoid robots like Agility’s Digit get deployed in warehouses and beyond, someone needs to verify that a robot actually performs as claimed. A precision mocap lab is the scale that weighs the claim.

Hollywood Tech, Repurposed

There’s a lovely symmetry here. Motion capture is the technology behind Gollum, Avatar, and a thousand video game characters, actors in dotted suits performing while cameras record every twitch. Now the same rigs are being pointed at the next generation of robots, teaching machines the movement vocabulary that actors spent decades perfecting.

It’s also a New Jersey story, which is worth a smile. The Garden State, not exactly known as a robotics hub, now hosts a facility generating some of the most precise movement data on Earth. Innovation has a way of showing up where you least expect it.

The timing lines up with the broader physical-AI surge. General Intuition’s $220 million raise for its action foundation model landed the same day, pairing the funding wave with the data wave. Money is flowing into physical AI, and labs like Innodata’s are the unglamorous infrastructure that makes the glamorous demos possible.

What This Unlocks

Better movement data means robots that walk more naturally, handle objects more delicately, and operate safely around people. The downstream effects are practical and positive: warehouse robots that don’t damage goods, industrial robots that work alongside humans instead of behind cages, and eventually assistive robots with the dexterity to help in homes and hospitals.

None of that happens without ground truth. A robot can’t learn to move from videos that approximate depth. It needs to know exactly where a knee was, to the fraction of a millimeter, at the exact millisecond it bore weight. That’s what this lab produces: the truth about movement, measured and digitized.

The Bigger Picture

Physical AI’s bottleneck was never the algorithms alone — it was always the data. Language had the internet; movement had nothing comparable. Facilities like Innodata’s New Jersey lab are building that dataset from scratch, one captured step at a time.

And the applications go well beyond humanoids. Industrial robots that assist rather than replace, arms that hand tools to technicians, mobile platforms that restock shelves, all need the same movement vocabulary. Even autonomous freight depends on robotic systems that handle cargo with precision. Every one of these machines gets safer and more capable when its training data is measured rather than estimated.

There’s a validation angle too. As robots move from labs to warehouses, factories, and eventually public spaces, independent measurement becomes the trust layer. A company buying a fleet of humanoids wants proof of performance, not marketing. A lab that can measure a robot’s gait to the sub-millimeter is the auditor the industry didn’t know it needed, and it’s arriving just as the deployments begin.

The robots are coming, and they’re coming with better posture than we’d expect. Sub-millimeter by sub-millimeter, the physical world is becoming training data. Machines are finally learning to move through it like they belong here.

Prince Mario-Max Schaumburg-Lippe: Far-UVC Light Sets Record Wireless Data Speed

Your Wi-Fi is crowded. So is your Bluetooth, your 5G, and just about every other slice of the radio spectrum your devices shout across all day. Now imagine sending data on light your eyes cannot even see — at wavelengths so short the Sun does not produce background noise for them — and doing it at 1.5 gigabits per second.

That is exactly what researchers at the University of Strathclyde and the University of Cambridge just pulled off. Reported September 30, the team set a new record for wireless data transmission at far-UVC wavelengths: 1.5 Gbps across 30 centimeters (about 12 inches), under ordinary ambient room lighting. It is the fastest anyone has ever pushed data through light this short.

The trick: LEDs that flicker absurdly fast

The light sources came from Germany’s Ferdinand-Braun-Institut (FBH), which builds far-UVC LEDs with unusual properties. FBH senior scientist Dr. Jan Ruschel explains the appeal: “They deliver high optical power by international standards and can be modulated particularly quickly. This makes them well suited for optical data exchange both indoors and outdoors.”

“Modulated particularly quickly” is doing the quiet work in that sentence. To send data on light, you flicker the light source — on, off, on, off — encoding ones and zeros in the flicker. The faster you can flicker, the more data you move. The research team’s key innovation was segmenting the LED’s emitting surface into small areas, which reduces junction capacitance and raises the modulation bandwidth. Smaller segments, less electrical sluggishness, faster flicker, more gigabits.

Thirty centimeters does not sound like much. But this is a first record at these wavelengths, not a finished product. Every wireless technology you use today started as a lab demo across a shorter distance than anyone found impressive — and then the engineers got to work.

Why far-UVC is special

Three properties make this wavelength band unusually promising:

It is solar-blind. The Sun’s ultraviolet output at these wavelengths gets absorbed by the atmosphere before it reaches the ground, which means there is essentially no natural background interference. A far-UVC receiver hears almost nothing but the signal it is meant to hear. Try finding a radio band that quiet.

It is considered skin-safe. Far-UVC is absorbed by the outer, non-living layers of skin rather than penetrating to living tissue. That matters enormously for any technology meant to operate in rooms full of people — you cannot deploy a data network that requires everyone to wear goggles.

It dodges the spectrum crunch. Radio spectrum is finite, licensed, auctioned for billions, and increasingly congested. Light-based communication opens up vast unlicensed territory. The record-setting system ran fine under normal room lighting, which suggests these links could coexist with everyday environments rather than demanding special conditions.

Where this could go

The work sits inside TITAN, the UK’s national telecommunications research hub led by the University of Cambridge, and it was presented at the International Symposium on Communication Systems, Networks, and Digital Signal Processing (the paper is on IEEE Xplore, DOI 10.1109/CSNDSP68462.2026.11654373, for the technically curious).

So what is the actual future here? A few possibilities worth taking seriously:

Interference-free indoor links. Think device-to-device transfers, kiosk downloads, or secure point-to-point connections in offices and hospitals — places where radio congestion is a daily annoyance and where light-based links could simply sidestep the problem.

A piece of the 6G puzzle. Future networks will almost certainly be heterogeneous: radio where radio makes sense, light where light makes sense. Far-UVC gives network architects a brand-new tool — short-range, high-speed, and invisible.

Outdoor potential. Ruschel specifically noted suitability for outdoor optical data exchange. Solar-blindness is the enabler: sunlight will not drown out the signal the way it does for other optical bands.

It is also worth noting who did this: a cross-border collaboration between Scottish and English universities, German LED makers, and a national research hub. Breakthroughs in fundamental communications research rarely come from one lab anymore. The 1.5 Gbps record is as much a triumph of teamwork as of physics — specialists in materials, devices, and signal processing each solving their piece until the whole thing flickered into life.

None of this replaces Wi-Fi tomorrow. Thirty centimeters at 1.5 Gbps is a laboratory milestone, and the road from lab record to living room is long. But records like this are how that road gets built — one wavelength band at a time. The same week that robotaxi fleets are scaling by double digits in Texas and autonomous trucking plans take shape, the invisible infrastructure of how machines talk to each other just got a new lane.

The bigger picture

There is a pleasing symmetry to this story. For decades, “wireless” has meant “radio.” But light is wireless too — we just needed the right LEDs, flickering fast enough, in a band quiet enough to hear them. The Strathclyde–Cambridge team found all three at once.

The next time your video call stutters in a crowded café, spare a thought for the violet flicker nobody can see, carrying a gigabit and a half per second across a lab bench in Britain. Today’s record is tomorrow’s headroom. And the spectrum crunch just met something it did not expect: competition from the dark end of the rainbow.

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.