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

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

Morning: Markets, Music and Pow Wow

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

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

Midday: Festivals Take Over

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

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

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

Afternoon & Evening: Dancing Into the Night

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

The Plan

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

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

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

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

The experiment

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

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

Why it matters

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

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

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

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

A good week for physics

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

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

Prince Mario-Max Schaumburg-Lippe: Angry Birds Movie 3: Holiday Flock Returns Dec 23

Ten years after the first film turned a mobile game into a $352 million box office surprise, the birds are coming home for the holidays. Paramount Pictures has released the first trailer for The Angry Birds Movie 3, and the film lands in theaters on December 23, 2026. Seven years after the second installment, Red and the flock are back with the biggest adventure of the franchise, and the timing could not be better.

Red’s toughest challenge yet: fatherhood

The trailer teases what Paramount describes as Red’s toughest challenge yet. Not the pigs. Not a new villain. Fatherhood. Jason Sudeikis returns to voice the famously short-tempered bird, and the idea of Red navigating family life while once again finding himself in the middle of a mission to save the world is the kind of premise that writes its own jokes.

It’s also a smart evolution. The first film was about Red learning to belong. The second was about the flock learning to work with their enemies. A third film about Red learning to be a father completes a genuine character arc, the kind most animated franchises never bother with. When a third installment has something real to say about its lead, it’s usually a sign the filmmakers still care.

The flock expands

The returning cast is the good kind of familiar: Sudeikis, Josh Gad, and Danny McBride are all back, the comic engine that powered the first two films. But the new ensemble is where things get interesting. Emma Myers, Rachel Bloom, Walker Scobell, Marcello Hernández, Tim Robinson, Anna Cathcart, Maitreyi Ramakrishnan, Nikki Glaser, Sam Richardson, James Austin Johnson, Lily James, and Keke Palmer join the flock.

That’s a genuinely exciting mix. Bloom’s musical-comedy brilliance. Hernández’s breakout energy. Robinson’s deadpan chaos. Palmer’s star power. And yes, MrBeast and Salish Matter join the voice cast too, marking a real crossover between YouTube culture and mainstream Hollywood animation. It’s a shrewd move. The kids who grew up watching MrBeast are exactly the audience that will drag their parents to a Christmas animated film, and their parents will recognize every other name on that list.

John Rice directs from a screenplay by Thurop Van Orman, with producers John Cohen, Dan Chuba, Carla Connor, and Namit Malhotra. Rice and Van Orman are animation veterans, and the franchise has always been at its best when it trusted its artists to be funny first and faithful to the game second.

Why the holiday slot matters

Paramount moved the film up from its original January 29, 2027 date to December 23, 2026. That’s not a small adjustment. That’s a studio deciding its animated sequel deserves the holiday corridor, one of the most competitive and lucrative windows of the year. You don’t move a film into Christmas week unless you believe it can hold its own.

The history supports the confidence. The 2016 original, released by Sony Pictures, earned more than $352 million worldwide against a reported $73 million production budget, despite mixed reviews. The 2019 sequel is widely considered the better film. The franchise has a proven audience, a proven formula, and now a proven holiday slot. Christmas week is where family films become traditions, and Paramount is clearly aiming for exactly that.

The holiday season’s family anchor

Look at the December corridor and The Angry Birds Movie 3 stands out as the pure family play. It’s the film parents can take a five-year-old and a fifteen-year-old to and have everyone laughing. The franchise’s secret weapon has always been its layered comedy: slapstick for the kids, sly references for the adults, and just enough heart to make the whole thing stick.

It’s part of a holiday season that’s shaping up to be one of the strongest in years. Our recent coverage of Paramount’s Christmas slate, including the upcoming Ebenezer with Johnny Depp, shows the studio going all-in on holiday moviegoing. And with Warner Bros.’ animated ambitions arriving in November, the family audience will already be in theaters and ready for more.

The verdict: a holiday win in the making

The Angry Birds Movie 3 isn’t trying to reinvent animation. It’s trying to do something harder: deliver a genuinely funny, genuinely warm holiday movie that earns its spot in the Christmas rotation. With Red facing fatherhood, a voice cast that blends comedy royalty with new energy, and a studio confident enough to plant it in the year’s biggest family window, this one looks like a gift.

December 23. The flock is back. Don’t be surprised if this becomes the movie your family quotes all year.

Prince Mario-Max Schaumburg-Lippe: Metaview Raises $60M to Automate Hiring With AI Agents

Recruiting is an $800 billion industry that still runs, in large part, on manual processes, fragmented tools and human guesswork. Metaview, the London-founded startup building what it calls an Agentic Recruiting Platform, just raised $60 million to automate it. The Series C, led by Insight Partners with participation from GV, Intrepid Growth Partners, Seedcamp, Vertex Ventures US, Plural and Garuda Ventures, was announced October 1 and brings the company’s total funding to $110 million.

The round is a bet on a simple observation: AI made applying for jobs trivially easy, and the system broke under the volume. Applications per recruiter have jumped 412%, and 53% of job seekers say they were ghosted by an employer in the past year. The old machinery can’t keep up. Metaview’s argument is that the fix isn’t better applicant tracking, it’s agents that do the work.

From interview notes to autonomous coworkers

Metaview started in 2018 as an interview-intelligence tool, capturing the conversations where hiring decisions actually form. The company has now processed more than 6 million interviews, and that corpus of conversation data feeds a suite of connected AI agents that operate across the whole hiring workflow: sourcing candidates before they apply, evaluating inbound applications against role briefs, running structured screening conversations, and converting human interviews into structured, reusable notes.

The headline product is Fillmore, an autonomous recruiting coworker that Metaview is taking to general availability with the new funding. Fillmore sources candidates, writes personalized outreach, manages follow-ups and books screening calls. A dedicated AI screening agent is in development alongside it. The crucial design choice: final hiring decisions stay with people. The agents do the work; humans make the call.

Metaview says the platform now serves more than 7,000 companies, from startups to the Fortune 100, including names like Deel, Affirm, Navan and Replit. In one example cited by CEO and co-founder Siadhal Magos, AI sourced, researched and contacted 52 candidates and booked five screening calls, and the eventual hire moved from first contact to signed offer in 30 days. The company claims customer time-to-hire reductions of more than 75% in some cases, though those are company-reported figures.

Where the $60 million goes

The raise funds three specific priorities. First, Fillmore’s general availability plus new specialist agents. Second, people: Metaview plans to grow from 80 employees to around 250 by the end of 2027, and open a New York office alongside existing hubs in London and San Francisco. Third, 10x Recruiting, the company’s training community for talent professionals, which teaches what Metaview calls “talent engineering”, the discipline of building and running AI-powered hiring systems.

That second priority is the tell. Tripling headcount in 15 months is a growth plan, not a maintenance plan. Insight Partners doesn’t lead $60 million rounds for companies that are going to coast. Ryan Hinkle, the Insight managing director on the deal, said Metaview brings “more structure and intelligence across each stage of hiring, from sourcing and screening through to the final decision,” and that the result is “better hiring decisions at scale, without losing the judgment that good hiring requires.”

The round comes just a year after Metaview’s previous financing, and the company has been stacking capabilities in the meantime. In August it acquired Reval, a California-based AI-native recruiting company, with both founders joining to accelerate Fillmore’s development. The platform integrates with more than 62 tools, including Greenhouse, Ashby, Lever, Workday, Zoom, Google Meet and Microsoft Teams, and carries SOC 2 Type II, GDPR and CCPA compliance.

Why recruiting is next

Siadhal Magos’ framing line for the announcement deserves quoting: “The best engineering teams have already moved from writing code by hand to orchestrating AI agents that do the work. Recruiting is next.” Software engineering was the first white-collar workflow to get the agentic treatment, and the pattern is now repeating across every department that runs on repetitive knowledge work.

We’ve seen the same movie in finance, where AI-native platforms like DualEntry are rebuilding ERP from the ground up, automating the repetitive tasks that used to define back-office jobs. Recruiting is arguably a better fit for agents than finance, because so much of the work is communication: outreach, scheduling, follow-ups, summaries. That’s exactly what agents are good at, and exactly what burns out human recruiters.

The ghosting statistic is the moral of the story. When 53% of candidates get ignored, the system isn’t just slow, it’s failing the people it’s supposed to serve. Agents that follow up reliably, screen consistently and keep candidates informed could make hiring better for both sides, not just cheaper for employers. The optimistic case for recruiting AI is that it fixes the experience, not just the spreadsheet.

The part that should stay human

To Metaview’s credit, the company draws a bright line: agents prepare, people decide. That matters more than any feature list. Hiring is one of the highest-stakes decisions an organization makes, and it’s also one of the most vulnerable to encoded bias. An agent that screens candidates needs to be auditable, and the human in the loop can’t be decorative.

The compliance posture suggests Metaview takes this seriously. SOC 2 Type II, GDPR and CCPA compliance, structured and reusable interview notes that create a paper trail for decisions, integrations with the HR systems where the audit data already lives. This is the unglamorous infrastructure that makes AI in hiring defensible instead of just fast. Speed without accountability in recruiting is how you get lawsuits.

The competitive picture

Metaview isn’t alone in this space, and the $60 million is partly a moat-building exercise. The recruiting software market spent years as a graveyard of applicant-tracking systems that organized data after humans created it. The agentic wave is changing the category’s definition: software that participates in producing hiring decisions, not just recording them.

What Metaview has that newcomers don’t is the data corpus. Six million processed interviews is a training and fine-tuning asset that compounds. The agents get better at evaluating candidates because they’ve seen more hiring conversations than any competitor. That’s the classic data moat, and it’s why the company’s origin as an interview-intelligence tool turned out to be a strategic head start rather than a pivot away from it.

The conversational layer is converging too. As AI voice stacks get fast enough for natural screening calls, the distance between a text-based recruiting agent and a voice-based one shrinks. Fillmore books screening calls today; the version that conducts them is clearly on the roadmap, even if nobody’s saying so out loud yet.

What it means for job seekers and hiring teams

If you’re hiring, the message is that the tooling is about to get dramatically better at the parts of recruiting nobody enjoys: sourcing, screening, scheduling, note-taking. The teams that adopt agentic recruiting early will move faster on candidates.

If you’re job seeking, the honest advice is to assume your first screen may be with an agent, and to treat it accordingly: clear, structured answers, specific examples, no rambling. The upside is that the ghosting era may finally be ending, and that’s worth celebrating.

Recruiting was always going to be rebuilt with AI at the core. Metaview just got $60 million to finish the job.

Prince Mario-Max Schaumburg-Lippe: Tanzania Wildlife Corridor Records 529 Elephants

Fourteen kilometers long and just 200 meters wide, it is not much to look at on a map. But Tanzania’s first official wildlife corridor may be one of the most important conservation achievements of the year. Camera traps installed along the Nyerere-Udzungwa corridor recorded 529 elephants using the route in its first 15 months of monitoring, along with at least 1,440 mammals in total and 26 species of large and medium-sized mammals. The elephants, it turns out, were just waiting for the door to be opened.

Reconnecting an ancient highway

The corridor stretches across the Kilombero Valley, from Nyerere National Park and the adjoining Magombera Nature Forest Reserve in the east to Udzungwa Mountains National Park in the west. For elephants, it reconnects a seasonal migration route their ancestors walked for centuries. Each day an elephant must consume enormous amounts of forage and water, which means moving between areas as the wet and dry seasons change what is available where. Cut off the route, and you cut off the herd’s ability to survive.

The route was chosen with unusual care. Researchers with the Southern Tanzania Elephant Program, known as STEP, began studying elephant corridors in southern and central Tanzania back in 2006, and a nationwide assessment in 2009 identified 33 of these pathways across the country. For this corridor, discussions with villagers and government officials began in 2018. The final route was selected with input from local communities, and 368 landowners were compensated nearly 2.2 billion Tanzanian shillings, roughly $880,000 at the time, for surrendering parcels of 1,000 to 2,000 square meters. Nobody’s land was simply taken. Conservation worked because people were part of it.

What the cameras saw

In November 2023, STEP and partner organizations including Lion Landscapes installed 59 cameras at roughly 500-meter intervals along the corridor. The images that came back read like a census of the valley’s wildlife: elephants by the hundreds, but also bushbuck, buffalo, servals, honey badgers, Sykes’ monkeys, Harvey’s red duikers, and even Cape clawless otters. George Lohay, an ecologist and head scientist at the Grumeti Fund, explained why connected habitat matters so much: elephants rely on different areas in different seasons and know exactly where resources like mineral-rich salt licks are located. His own doctoral research found genetic similarities between elephants in Tarangire and Ruaha, more than 700 kilometers apart, evidence that these populations were once one big connected group. The corridor is, in a sense, stitching that old family back together.

The corridor is also being rebuilt, not just protected. Villagers and the organization Reforest Africa have planted 100,000 native trees representing 30 species along the route, with another 50,000 planned. Some sections are being planted densely to recreate rainforest; others will stay open. The young trees planted in late 2023 are already rising above head height. And because elephants and farms share the valley, fencing guides the herds into the corridor and away from crops, with a first-of-its-kind electric fencing system designed to cope with seasonal floods. Residents who once had to leave their fields in the afternoon because of elephant movements can now work through the day.

The scale of what is moving through is hard to overstate. Up to 1,000 elephants climb the steep rainforest slopes of the 6,500-foot Udzungwa Mountains, a journey that links the savanna to the forest floor in a single landscape. Trail cameras are not romantic instruments, they are metal boxes strapped to trees, but they have given conservationists something priceless: proof. Funders, governments, and villages can all see the same images and agree on what they mean. In a field where success is notoriously hard to measure, 529 elephants is a number everyone can understand.

A model worth copying

The corridor is supported by conservation organizations across three continents: Italy’s Fondazione Capellino, the U.S.-based Saving Nature, and Denmark’s Hempel Foundation. And this is only the beginning. Tanzania has identified roughly 70 corridors that need similar protection, and the Nyerere-Udzungwa route is the proof of concept. It joins a run of genuine environmental wins this year, from Turkey’s electric car boom to the geothermal breakthrough at Fervo’s Cape Station. The pattern is the same in each case: ambitious goals, patient engineering, and results you can measure.

There are still problems to solve. Elephants have been slow to use an underpass built beneath a busy road, and a petrol station under construction near the route, plus a proposed hotel and bus station, will need careful management so development does not choke the narrow passage. Conservation is never finished. But consider what has happened here: hundreds of families gave up pieces of their land, tens of thousands of trees went into the ground, and a herd of up to 1,000 elephants now has a safe road between savanna and rainforest. The cameras keep clicking. The elephants keep walking. Sometimes the best news is simply that the ancient routes still work.

Prince Mario-Max Schaumburg-Lippe: The Cat in the Hat 2026: Bill Hader’s Animated Debut

There’s a special kind of bravery in taking on Dr. Seuss. The last time Hollywood gave the Cat a big-screen showcase, in 2003, the result was… let’s say memorable for the wrong reasons. Twenty-three years later, Warner Bros. Pictures Animation is trying again, and this time the signs are genuinely promising. The Cat in the Hat arrives in theaters and IMAX on November 6, and it has everything the 2003 version didn’t: a fresh story, a brilliant comic lead, and an animation studio making its feature debut with everything to prove.

A brand-new story

Forget the rainy day and the fish in the pot. This is a wholly original adventure. The Cat, voiced by Bill Hader in his animated feature debut, takes on his toughest assignment yet for the I.I.I.I., the Institute for the Institution of Imagination and Inspiration, LLC. His mission: cheer up Gabby and Sebastian, a pair of siblings struggling with a move to a new town.

The twist is pure character comedy. The Cat is known for taking things too far, and this could be his last chance to prove himself. Or lose his magical hat. It’s a setup that gives the story real stakes beyond the chaos. The Cat isn’t just making mischief. He has something to lose. That’s the difference between a gag reel and a movie, and it’s a promising foundation.

The film is loosely based on the 1957 book but stands on its own, directed by Erica Rivinoja and Alessandro Carloni from their own screenplay, with a story by Caroline Williams. Carloni’s animation pedigree is the real deal, and Rivinoja has one of the sharpest comedy voices in the business. This is not a committee product. It’s a filmmaker-driven film, and you can feel it in the premise alone.

Bill Hader was born for this

Let’s talk about the casting, because it’s inspired. Bill Hader has spent his career as one of the great comic shape-shifters of his generation, from his SNL years to the dramatic depths of Barry. He has never headlined an animated feature. That feels like an oversight the industry is finally correcting.

The Cat needs a very specific instrument: someone who can be anarchic and warm at the same time, someone who can sell mischief as joy rather than menace. Hader’s entire career is that tightrope. He can do unhinged. He can do tender. Often in the same scene. Giving him this role is like handing a Stradivarius to someone who has been playing air violin for years.

The ensemble around him is stacked: Matt Berry, Quinta Brunson, Xochitl Gomez, with Giancarlo Esposito and America Ferrera, plus Tituss Burgess, Bowen Yang, Paula Pell, and Tiago Martinez. Berry’s velvet absurdism, Brunson’s precision timing, Gomez’s rising-star energy. This is a voice cast that was assembled by people who understand comedy, not by a marketing department checking boxes.

The animation studio’s big moment

This is the first full-length feature from Warner Bros. Pictures Animation, the relaunched banner, with animation by DNEG. That’s a lot of pressure, and pressure can be a gift. First features have a way of swinging for the fences because there’s no franchise playbook to follow yet. The early trailers suggest a visual style that honors Seuss’s curves and chaos while pushing into something more cinematic, and the IMAX release confirms the studio’s ambitions.

The music signals the same confidence. Lorne Balfe scores the film, and the original song “CATastrophe” comes from Hilary Duff, released October 2 as the film’s big musical calling card. When a studio leads its marketing with an original song instead of hiding behind the IP, it usually means they believe in what they’ve made.

Why this could actually work

The 2003 film failed because it mistook Seuss for a license to be weird at children. The new film understands something deeper: Seuss was always about the emotional lives of kids. A move to a new town. The feeling that everything familiar is gone. A chaotic stranger who shows you that chaos can be a kind of love. That’s the book’s actual subject, and it’s the film’s too.

Warner Bros. is distributing worldwide, with international release beginning November 4 and North American theaters and IMAX on November 6. The holiday corridor is kind to family films, and there is very little direct competition in the animated space that weekend. The studio has given this film room to breathe, which is exactly what a new franchise needs.

It’s also worth noting where this sits in the current family slate. Our recent reviews of Universal’s upcoming Other Mommy and Paramount’s Street Fighter reboot show a holiday season packed with spectacle. The Cat in the Hat is the family-friendly anchor of that season, and it’s aiming for the widest audience of all: everyone.

The verdict: the Cat’s redemption arc

Every few years, a film arrives with the quiet job of fixing a past mistake. The Cat in the Hat has that job, and it looks ready for it. A great comic lead in his animated debut. A story with actual heart under the mayhem. An animation studio with everything to prove. A holiday release date with the wind at its back.

November 6. Bring the kids. Bring your inner kid too. The Cat is back, and this time he brought the good stuff.

Prince Mario-Max Schaumburg-Lippe: FieldAI Eyes $10B Valuation in $700M Robotics Round

The hottest money in AI right now isn’t going to chatbots. It’s going to robots. FieldAI, the Irvine startup building what it calls a universal general-purpose brain for robots, has signed a term sheet for a $700 million financing round at a $10 billion valuation, according to a Business Insider report published October 2.

Five times. That’s the multiple. FieldAI was worth roughly $2 billion barely a year ago. The new round, which hasn’t formally closed and whose lead investor remains undisclosed, would quintuple that number and put the 2023-founded company in the top tier of private robotics firms, alongside Physical Intelligence at around $11 billion and Skild AI above $14 billion.

What FieldAI actually builds

Here’s the contrarian part: FieldAI makes no physical robots at all. No humanoids, no arms, no wheels. The company sells software, foundation models for robots that let machines navigate and work autonomously in messy, unpredictable environments. One stack powers humanoids, robot dogs, drones, industrial rovers and wheeled vehicles, turning sensor data into continuously updated digital twins of the environment so robots can operate without prior maps, GPS or predefined paths.

That “no maps” detail is the technical pitch. Traditional robot navigation leans on pre-mapped environments, which works fine in a warehouse and falls apart on a construction site where the layout changes daily. FieldAI’s models are designed to account for uncertainty and risk on the fly, adjusting behavior to avoid collisions and navigation mistakes as conditions shift. In March, the company partnered with Boston Dynamics to support the Spot quadruped for industrial inspection tasks, putting its software on one of the most deployed mobile robots in the world.

The customer list is where the story gets its legs. FieldAI says revenue plus signed customer contracts has crossed $135 million across more than 30 customers in construction, data centers, energy and defense, up at least $35 million since June. Construction firms, data center operators and inspection contractors are paying for robot autonomy that works outside the lab. That’s the difference between a demo and a business.

Why investors are paying up

The 5x valuation jump reflects how fast investor appetite has swung from chatbots toward machines that act in the physical world. Robotics startups have drawn a wave of capital this year as foundation models proved good enough to control hardware without constant human oversight, and FieldAI sits at the center of the software layer: the brain, not the body.

CEO Ali Agha brings a resume that helps explain the conviction. He spent seven years at NASA’s Jet Propulsion Laboratory leading autonomy work, including the DARPA Subterranean Challenge, where his team won the urban circuit in 2020. Robots that navigate caves and collapsed tunnels without GPS are a decent audition for robots that navigate construction sites. The company has also been hiring engineers from Google DeepMind, Tesla, Nvidia and Boston Dynamics as the competition widens.

The investor roster doesn’t hurt either. Prior backers include Jeff Bezos’ family office, Laurene Powell Jobs’ Emerson Collective, Khosla Ventures, Nvidia’s NVentures fund and Intel Capital. When that crowd writes follow-on checks, it’s a signal the diligence is real, even if the lead on this round hasn’t been named yet.

The physical AI gold rush

FieldAI’s round is the latest and largest marker in what has become 2026’s defining funding theme: physical AI. The logic runs like this. Language models conquered the digital world; the next frontier is models that operate in the physical one, and whoever owns the software layer under the humanoid and industrial-robot boom owns a platform position.

The numbers tell the story of the frenzy. Robotics trackers have logged over 150 stories in the last 90 days. The comps keep ratcheting upward: NEURA Robotics raised up to $1.4 billion in June at about $7 billion in Europe, Genesis AI was reported raising $500 million at around $3 billion in July, and now FieldAI at $10 billion with a term sheet signed. Whether these valuations reflect fundamentals or FOMO depends on who you ask, but the direction of the money is unmistakable.

There’s a practical side to the boom that gets less attention than the valuations. Training robot brains takes serious GPU capacity and serious data, which is why companies like Sharon AI are borrowing hundreds of millions against their GPUs to build AI factories. And serving the resulting models efficiently is its own industry now, with new inference platforms bringing open-model serving to production scale. FieldAI’s software has to live somewhere, and the infrastructure to run it is being built in parallel.

The honest caveats

Let’s be clear about what’s known and what isn’t. The round hasn’t closed. The lead investor hasn’t been disclosed. The $135 million figure combines recognized revenue with signed contracts, and the report doesn’t break out the split, so treat it as pipeline strength rather than run rate. At $10 billion, FieldAI needs deployments that convert pilots into large recurring contracts. Paper valuations don’t torque motors, as one industry observer memorably put it.

There’s also the integration question. A single software brain that pilots quadrupeds, humanoids, drones and rovers across construction, energy and defense is a massive engineering promise. The environments are different, the sensor suites are different, the failure modes are different. FieldAI’s bet is that foundation-model scale generalizes across all of it. That’s the thesis investors are paying $10 billion for, and it’s still a thesis.

Why this one might be different

What separates FieldAI from most physical-AI pitches is the revenue number, however blended. A lot of robot-brain startups sell a future. FieldAI sells a present: $35 million in new revenue and contracts since June, 30-plus paying customers, a Boston Dynamics partnership, and deployments on real industrial sites. CEO Ali Agha told Business Insider the company has seen “very, very fast growth in the last several months,” and the customer count backs up the claim.

The defense angle deserves a mention too. Construction, energy and defense contractors all show up on FieldAI’s customer list, and dual-use robotics is having a moment as governments look for autonomous systems that work in contested environments. The company doesn’t lead with this, but the investor base, including In-Q-Tel’s peers in the broader ecosystem, suggests it’s part of the thesis.

What to watch next

Three things will tell you whether the $10 billion tag holds. First, who leads the round when it closes, and whether the terms match the reported number. Second, whether FieldAI starts disclosing named customers beyond the anonymized counts, because enterprise logos are the currency of credibility at this scale. Third, the conversion story: pilots to production contracts, contracts to recognized revenue.

The broader trend to watch is the platform battle underneath. FieldAI, Physical Intelligence, Skild AI and a handful of others are all racing to become the operating system layer under the humanoid era. Only one or two will get there, but the winner gets to tax an entire industry’s worth of machines. That’s the $10 billion bet in a sentence.

Robots that work in the real world, not the demo hall, are the whole game. FieldAI just got priced like it’s winning. Now it has to prove it.

Prince Mario-Max Schaumburg-Lippe: World Report: Alzheimer’s No Longer Untreatable

For decades, families heard the same sentence when Alzheimer’s disease entered the room: there is nothing to be done but manage the decline. This year’s World Alzheimer Report says that sentence is no longer true. Published by Alzheimer’s Disease International to mark World Alzheimer’s Day, the 2026 report argues that after years of slow progress, clinical trials are on the brink of diagnostic and medical breakthroughs, and that the disease is “no longer universally described as untreatable.” It is one of the most hopeful documents the dementia field has produced in a generation.

The turning point

The shift is real, and it has a name: donanemab and lecanemab. These are the first fully approved treatments shown to modestly slow early Alzheimer’s decline rather than merely easing symptoms. They work by targeting and clearing the amyloid plaque that builds up in the brains of people with Alzheimer’s years before symptoms appear. Both have now been approved in multiple countries; in Australia, regulators approved donanemab in May 2025 for mild cognitive impairment due to Alzheimer’s, with lecanemab following in September 2025.

“Modestly” is doing honest work in that sentence, and the report does not oversell it. A cure remains far away. But Cath Mummery, director of the UK’s Dementia Trials Network, described the new drugs in the report as “the first brick,” and bricks are how walls get built. The pipeline behind them is the real story: 158 potential therapies are now being tested across 192 clinical trials worldwide, a rise of roughly 40 percent over the past decade. Eight Phase III trials are expected to report results during 2026. About three-quarters of the medicines in development are designed to modify the underlying disease process, not just mask symptoms.

Prevention is moving to the center

Perhaps the most consequential finding is not about drugs at all. The report highlights growing evidence that a large share of dementia cases could be delayed or prevented by addressing modifiable risk factors, as many as 14 of them, including high blood pressure, depression, physical inactivity, smoking, diabetes, alcohol use, and high cholesterol. Researchers increasingly treat Alzheimer’s the way cardiology treated heart disease a generation ago: as a condition you can see coming and work against.

Dr. Campbell Le Heron, a neurologist and Alzheimers NZ spokesperson, put it plainly: for a long time there has been what he called a fairly nihilistic view in the dementia world, the idea that cognitive decline just happens with age and nothing can be done. “These trials are showing us that we can potentially do something about it, at least in certain situations,” he said. “Our biological understanding of the condition is identifying ways we can actually prevent it.”

The hard part: finding volunteers

The report is also candid about the bottleneck. Trials need people, and dementia trials are picky: specific disease stages, proof of Alzheimer’s-related proteins, the absence of certain other conditions, a study partner. About 55,000 participants are needed, and because so many volunteers fail screening, researchers estimate that as many as 350,000 people may need to step forward. The report’s conclusion on this point is worth quoting: taking part in dementia research should depend on “realistic opportunity for everyone who wishes to consider it,” not on persistence or good fortune.

This is where families come in. Practical steps exist right now. Anyone can search ClinicalTrials.gov by condition and location, or use the Alzheimer’s Association’s TrialMatch service, to find studies nearby. Healthy volunteers are wanted too, not just people with symptoms. And the everyday prevention advice keeps getting stronger: control blood pressure, stay active, protect your hearing, stay socially connected, treat depression. It echoes the research into brain blood flow in Alzheimer’s risk groups that is quietly building the case for early action, and it sits alongside the encouraging long-term data for lupus treatment as evidence that chronic disease medicine is having a genuinely good year.

What changes now

Numbers give the report its weight. More than 55 million people were living with dementia worldwide as of 2019, and the figure is projected to pass 139 million by 2050 as populations age. Dementia is becoming one of the leading causes of death on the planet. Against that backdrop, the report’s central claim, that we stand “on the cusp of a giant leap forward at the intersection of innovation in diagnostics, treatments, and risk reduction,” reads less like hype and more like arithmetic. The investment is there. The pipeline is there. The volunteers are the missing piece.

Chris Lynch, the acting CEO of Alzheimer’s Disease International, wrote in the report: “Never before has there been so much focus, investment, and hope in dementia research.” Hope is not a treatment. But for the families who have been told for years that nothing could be done, a major global report saying otherwise, with 158 therapies in trials to back it up, is the beginning of a different conversation. The next decade of dementia care will be built by the people who show up for it, in clinics and in trials. That is something all of us can be part of.

Prince Mario-Max Schaumburg-Lippe: The Social Reckoning: Sorkin’s Facebook Sequel Review

Sixteen years after The Social Network became one of the defining films of its generation, Aaron Sorkin is going back. The Social Reckoning, which opens in U.S. theaters on October 9, is the rare sequel that feels less like a corporate decision and more like a filmmaker returning to a story that refused to leave him alone. And this time, Sorkin isn’t just writing. He’s directing too.

Why this sequel exists

Sorkin has said he doubted anyone would write a follow-up to the 2010 original. It took finding one particular story to change his mind: Frances Haugen, the Facebook engineer who became a whistleblower, and her journey with Wall Street Journal reporter Jeff Horwitz. Their work became the “Facebook Files,” the 2021 investigative series that pulled back the curtain on how the platform really operated.

That’s the spine of the film. Oscar winner Mikey Madison plays Haugen. Jeremy Allen White plays Horwitz. Jeremy Strong steps into the most scrutinized role of the year: Mark Zuckerberg. The Playlist calls it a companion piece rather than a conventional sequel, and that framing is perfect. This isn’t The Social Network 2. It’s a new story from the same world, told with the distance of sixteen years and the urgency of the present.

A cast built for awards season

Start with Madison. The Social Reckoning is her first big-screen appearance since her Oscar-winning turn in 2024’s Anora, and she chose to come back with Sorkin. That’s the kind of career move that tells you everything about the material. At the film’s gala screening in London on September 29, Madison arrived in sculptural couture and the internet noticed. She’s not just promoting a movie. She’s announcing her return as one of the defining actresses of her generation.

Jeremy Allen White, fresh from redefining television intensity, plays Horwitz, the reporter who turned Haugen’s documents into the Facebook Files investigation. If anyone can make a journalist’s quiet obsession cinematic, it’s him.

Then there’s Jeremy Strong as Zuckerberg. The preparation stories are already legendary. Sorkin revealed in a recent interview that Strong did not speak in his own voice on set or walk the way Jeremy walks. He told the rest of the cast not to expect casual interaction between takes: “He is going to treat you the way he imagines Mark treats the people around him.” The trailers already show a transformation that has everyone talking. You cannot argue with the results.

The ensemble runs deep: Wunmi Mosaku, Betty Gilpin, Billy Magnussen, Bill Burr, and Gbenga Akinnagbe. That’s a murderer’s row of character talent, and in a Sorkin script, every one of them will get a moment.

The craft behind the camera

The technical pedigree here is serious. Cinematography by Jeff Cronenweth, the Fincher collaborator behind the original film’s cold, surgical look. Music by Alexandre Desplat, who has scored everything from The Grand Budapest Hotel to The Shape of Water. Sorkin producing alongside Todd Black, Peter Rice, Tony A. Grier, and Stuart M. Besser for Columbia Pictures and Alcon Entertainment.

The film runs 112 minutes, carries an R rating, and was made for a reported $50 million. Principal photography ran from October through December 2025 in Vancouver. This is a filmmaker who knows exactly what his movie is and didn’t spend a dollar more than he needed. In an era of $300 million gambles, there’s something almost radical about a $50 million adult drama with this much ambition.

Why it matters now

The original Social Network captured the moment a dorm-room idea became a civilization-scale machine. The Social Reckoning captures the moment we started asking what that machine was doing to us. Sorkin has described the film as more thriller than the first, a David and Goliath story about an engineer with a conscience and a reporter with a deadline.

This is the kind of film that doesn’t get made anymore, except when it does. A smart, talky, actor-driven drama about something real, aimed squarely at adults, opening in theaters. Sony’s theatrical commitment is the real headline underneath the casting. The film had its premiere at Curzon Mayfair in London on September 29 and hits U.S. theaters October 9, with no streaming shortcut in sight.

For context on Sony’s current theatrical strategy, our recent pieces on Spider-Man: Brand New Day’s box office run and the studio’s 2027-2028 slate moves show a studio betting big on the big screen. The Social Reckoning is the prestige anchor of that bet.

The verdict: see it on the biggest screen you can

The Social Reckoning has every ingredient of an awards-season heavyweight: a legendary writer-director, an Oscar-winning lead making her return, a transformative co-star, and a story that is still unfolding in real life. But more than that, it looks like the rare film that trusts its audience. No capes. No multiverse. Just people, power, and the price of knowing too much.

October 9. This is what movie theaters are for.

Prince Mario-Max Schaumburg-Lippe: IBM Bob Goes Self-Hosted for Sovereign AI Coding

IBM made a simple pitch to the world’s most cautious companies this week: keep your AI coding agent, and all the code it touches, inside your own walls. On October 1, the company announced self-hosted deployment for IBM Bob, its agentic software development platform, letting organizations run it on-premises, in private or sovereign clouds, or fully air-gapped with no outside network connection at all.

Between the summer’s agent security incidents and a string of compliance headaches, enterprises have learned that the question isn’t just what an AI coding agent can do. It’s where the agent runs, what data it can see, and who controls both. IBM’s answer: let them run it wherever they already keep their secrets.

What Bob is, and what changed

Bob is IBM’s agentic software development platform, built to move teams beyond simple code generation into full software delivery and modernization work. It plans, writes and tests code across repositories, and IBM has been positioning it as the enterprise-grade answer to the agentic coding wave.

The self-hosted option is the new unlock. Companies can now deploy Bob on customer-managed infrastructure, run supported models on premises, including in air-gapped environments, using models they’ve licensed, or connect to external model services through hybrid configurations. The code, the application context and the data never have to leave the customer’s environment.

IBM framed the release around a specific statistic: 68% of executives say data-residency rules are hard to meet, per the company’s research. And there’s a structural tailwind. Futurum Research projects that hybrid and edge deployments will capture 44% of the AI infrastructure market by 2030, as organizations chase sovereign control alongside ecosystem connectivity. IBM is building for the world that report describes.

Why regulated industries couldn’t wait

Think about who has been locked out of the AI coding boom. Banks with proprietary trading systems. Hospitals with patient data. Government agencies with classified code. Defense contractors. These organizations face strict security and compliance requirements that make sending source code to a public AI cloud a non-starter, no matter how good the underlying model is.

The standard workarounds have been unsatisfying. You could ban AI coding tools and watch your engineers use them anyway on personal accounts, which is the shadow-IT outcome nobody admits to in meetings. Or you could try to bolt governance onto a cloud service and spend a year negotiating data-processing agreements. IBM’s bet is that the third option, run the agent where your code already lives, is the one enterprises will actually buy.

The timing isn’t accidental. The summer of 2026 gave the industry several sharp reminders that autonomous coding agents with broad permissions can do real damage, and Gartner analysts have been openly questioning whether agentic AI can be fully secured with current tools. That raised the bar for everyone. IBM’s response is architectural rather than procedural: instead of trying to contain an agent running in someone else’s cloud, keep the agent and the blast radius inside infrastructure the customer already controls.

The sovereignty wave is bigger than IBM

Bob’s self-hosted launch is one data point in a much larger shift. The AI industry spent 2023 and 2024 centralizing everything in a handful of hyperscale clouds. In 2026, the pendulum is swinging back toward control: where models run, who owns the weights, which jurisdiction the data sits in. Sovereign AI isn’t a slogan anymore; it’s a procurement requirement.

That shift is visible across the stack. Open-model ecosystems keep gaining ground, with services like Prime Intellect’s inference platform letting teams serve frontier open models on their own GPUs, and Bob’s self-hosted mode can run on licensed models the customer chooses. Meanwhile the security layer around agents is becoming its own industry, with Armadin raising $255.5 million to defend against AI-driven attacks. IBM is stitching the pattern together: open or licensed models, your infrastructure, your governance.

Neel Sundaresan, IBM’s general manager of AI and Automation, put the thesis plainly at the launch: organizations need AI that operates inside environments they control, especially when working with sensitive code and regulated data. “Bring AI to the data instead of moving the data to the AI” is the kind of sentence that sounds like marketing until a compliance officer explains why it’s the only sentence that matters.

What enterprises actually get

The practical value breaks down into three buckets. First, data residency: code and context stay in the jurisdiction and the data center the company already answers to regulators about. Second, governance: the organization’s own security policies, access controls and audit trails apply to the agent, because the agent runs on the organization’s systems. Third, model flexibility: Bob isn’t locked to a single vendor’s models, so teams can use what they’ve licensed or what their compliance posture allows.

That third point deserves emphasis. Most AI coding tools are model-first: you get the vendor’s model, take it or leave it. Bob’s self-hosted deployment is infrastructure-first: the platform adapts to the models and environments the enterprise already has.

The skeptical read, and why it’s incomplete

The obvious criticism is that self-hosted AI is expensive and complicated, which is why the industry moved to the cloud in the first place. Running models on premises means managing GPUs, updates, scaling and security patches yourself. For many companies, that’s a real cost.

But that criticism misses who this product is for. The banks, governments and healthcare systems that need air-gapped AI already run enormous on-premises infrastructure. They’re not choosing between self-hosted and cloud the way a startup does. They’re choosing between self-hosted AI and no AI, because the compliance answer on public cloud is no. IBM isn’t asking these organizations to take on new infrastructure religion. It’s meeting them where they already live.

There’s also the competitive angle to consider. The cloud-based coding agents are fighting a feature war: who ships the smartest autocomplete, the best agent loop, the fastest model. IBM is fighting a different war, the trust war, and in regulated industries that’s the war that decides purchasing. A slightly less capable agent that your compliance team approves beats a brilliant agent they veto. Every time.

What this signals for the rest of 2026

Watch for two things. First, expect the other enterprise AI vendors to follow with self-hosted or sovereign deployment stories of their own, because IBM just made this table stakes for the regulated market. Second, watch IBM’s third-quarter results later this month: the stock popped about 4% in pre-market trading on the announcement, and investors will want to see whether enterprise AI demand is translating into the kind of contract growth that justifies the platform bets.

The deeper signal is about what enterprise AI adoption actually looks like. It’s not one big migration to the public cloud. It’s a patchwork: some workloads in the cloud, some on premises, some air-gapped, all needing governance that works the same everywhere. The vendors that win the enterprise decade will be the ones that stop asking where the AI runs and start making it run well wherever it is.

IBM Bob’s self-hosted launch is a bet that control is the feature. In the industries that matter most to IBM’s business, that bet has never looked safer.