Prince Mario-Max Schaumburg-Lippe: Brett Adcock’s Hark Launches This Week: AI for Everything

The Robot Guy Wants to Run Your To-Do List

Brett Adcock has spent the last few years building humanoid robots. Now he wants to handle your dinner reservations.

On October 4, the Figure founder and CEO posted on X that Hark, his personal AI company, will launch this week. The offer is aggressive: the first 100,000 registered users get the paid plan free. A waitlist is open now.

If you have not heard of Hark, you are not behind. The company operated in stealth for months and only surfaced publicly in late 2025, when Adcock revealed he had put $100 million of his own money into the project. Since then, it has grown into one of the most ambitious bets in consumer AI: a personal AI that remembers your preferences, works across the websites you use every day, and eventually connects to dedicated hardware built just for it.

What Hark Actually Is

Forget the chatbot comparison. Hark’s pitch is an AI that does things, not one that answers questions.

The clearest preview of that vision came on August 5, when the company showed off Hark Handoff, a research preview of its browser agent. Handoff drives a virtual computer: it opens a browser, clicks, scrolls, types, reads files, and runs terminal commands. The work it is aimed at is refreshingly ordinary: placing food orders, shopping online, booking restaurant tables, researching and arranging travel.

That last point is the design choice that matters. Handoff interacts with websites the way people do, clicking through real pages, instead of depending on each service to build a separate integration. That means it works with sites that have no public API. The trade-off is honest too: it also means Hark depends on websites that can change their layouts, block automated activity, or demand human verification checks. The company will be fighting that battle on every site it touches.

The longer-term vision is bigger. Hark’s manifesto describes a system that builds a rich, evolving understanding of its user, keeps persistent memory across conversations and tasks, and eventually connects to dedicated hardware built just for it.

The Money and the Team

Hark has funded this ambition at startup-superstar scale. The company has raised more than $700 million in Series A capital, and it assembled a team of 45 engineers and designers early on, including former Meta AI researchers and designers from Apple and Tesla. There is also a strategic thread running through Adcock’s empire: Hark’s models are already being trained on data from Figure’s robots, and the company secured a deal with Nvidia for thousands of GPUs for training.

Adcock will keep running Figure as CEO alongside Hark. The two companies are separate, with no announced plan to merge, but the overlap is obvious: robots that understand the physical world and personal AI that understands your life are two halves of the same idea.

Adcock says he now uses the product for everything. He did not say how long the free paid plan lasts for those first 100,000 users, or what exactly it includes. Details like that usually surface at launch.

Why Launch Week Matters

The consumer AI agent space has been all promise and very little product. Every demo video shows a flawless agent booking the perfect trip. Almost none of them survive contact with real websites, real edge cases, real CAPTCHAs.

That is exactly why a real launch matters. DigitalOcean spent last week packaging agent infrastructure into one monthly bill, because agents are getting serious enough that the machinery around them is a business. Metaview raised $60 million to put agents to work in recruiting. The agent economy is moving from slides to products. Hark is the first big bet that the consumer side can work too.

The 100,000-user free offer is the classic consumer playbook: remove every reason not to try it. Adcock is betting that once people hand their errands to an agent that remembers them, they will not go back to doing it themselves. He is probably right about the psychology. The question is whether the product is ready.

The Takeaway

Hark is either the start of the post-app era or a very expensive lesson in how hard the real web is. Both outcomes are interesting.

If you are one of the curious, the waitlist is open and the first 100,000 paid plans are free. If you are one of the skeptical, fair: a research preview in August is a long way from an agent you can trust with your credit card. The honest move is the same for both groups. Watch this week’s launch for one thing only: does it handle the boring stuff, reliably, on the websites people actually use?

That is the whole test. Agents that can answer hiring questions or move boxes in warehouses are already proving themselves in narrow lanes. Hark is trying the wide lane: everything, for everyone. Nobody has pulled that off yet. This week, we find out if the robot guy is the one who does.

Prince Mario-Max Schaumburg-Lippe: Agility’s Digit 5 Lifts More, Charges Faster, Plays Safer

The humanoid robot race has a new benchmark, and it arrived with little fanfare. Agility Robotics has unveiled Digit 5, the fifth generation of its industrial humanoid, and the spec sheet reads like a direct answer to every complaint about the last four.

The headline number: Digit 5 can repeatedly lift up to 50 pounds. That’s about 40 percent more payload than Digit 4. In a warehouse, where the difference between a robot that handles most totes and one that handles almost all of them is measured in pounds, that jump matters enormously.

Then there’s the battery. A redesigned pack delivers a stated 90-minute runtime with a nine-minute charge time. That’s a 10-to-1 run-to-charge ratio, which changes the operational math completely. Older warehouse robots spent a meaningful chunk of every shift tethered to a charger. Digit 5 can top up in the time it takes a human worker to take a coffee break.

The robot stands 5 feet 11 inches, weighs 284 pounds, and can reach as high as 7.2 feet. Those dimensions aren’t accidental. They’re sized for the shelves, conveyors, and workstations of real distribution centers, not a lab.

Safety is the real product

The most consequential change in Digit 5 isn’t strength or stamina. It’s the safety architecture, because a 284-pound machine sharing floor space with people lives or dies on trust.

Agility says Digit 5 combines multiple sensors and human-detection software with an independent safety controller. When a person enters an unsafe area, the system is designed to avoid the person, stop, or move into a seated position. Yes, seated. The robot is programmed to drop to its knees when a human gets too close, a deliberate “flinch” response that makes a large machine read as non-threatening.

The platform runs on NVIDIA’s IGX Thor chip and uses NVIDIA’s Halos robotics safety framework. That’s a notable pairing: one of the most powerful edge AI processors available, dedicated in part to making sure the robot never hurts anyone. In industrial robotics, safety certification is often the longest pole in the tent for deployment. Building it into the architecture from the start, rather than bolting it on later, is how you get robots onto real floors faster.

One robot, many jobs

Digit 5 also adds swappable end effectors using ISO-standard mounting flanges. In plain terms: the hands come off and get replaced, quickly, with tools suited to different jobs. One robot can move between tote handling, machine tending, kitting, sequencing, inspection, and palletizing instead of being permanently configured for a single task.

That flexibility is the difference between a robot that’s a capital expense tied to one workstation and one that’s infrastructure for the whole facility. Warehouse operators don’t want a fleet of specialists that sit idle when demand shifts. They want generalists that can be reassigned the way human workers are.

This is where the humanoid form factor earns its keep. A robot shaped roughly like a person fits into workflows designed for people: the same aisles, the same shelf heights, the same totes. No facility redesign required.

The competitive picture

Digit 5 doesn’t arrive in a vacuum. The humanoid field is crowded and moving fast. Figure Robotics recently demonstrated its Helix 2.5 software by sending a robot into 30 unseen San Francisco homes to make beds, fold towels, and clean living rooms without prior training, a striking demonstration of generalization. China’s XPeng put a humanoid production line into operation in early September and plans mass production of its Iron robot by year’s end, backed by a $900 million raise at a $6.3 billion valuation. Agibot has deployed more than 300 robots at a theme park in Zhuhai and delivered its 20,000th humanoid. A new Chinese factory opened September 12 with annual capacity above 10,000 robots.

Agility’s answer to all of that is focus. While others chase the home or the headlines, Agility is building for the warehouse and the factory floor, where the business case is clearest and the deployment path is shortest. Digit robots are already working in real facilities. Digit 5 is about making that work better, safer, and more flexible.

What it means

For workers, the honest version: robots like Digit 5 take on the repetitive lifting, the long carries, the jobs that wear bodies down. The facilities deploying them aren’t generally eliminating roles so much as struggling to fill them. Warehousing has lived with chronic labor shortages for years. A robot that lifts 50 pounds repeatedly without fatigue is filling a gap, not just cutting a cost.

For businesses, the math keeps improving. Higher payload means fewer robots per facility. Nine-minute charging means higher utilization. Swappable end effectors mean one platform across many tasks. Each of those pushes the return on investment further into obvious territory.

For investors, Digit 5 is evidence that the humanoid business is maturing from demos to products. Spec sheets with runtimes, charge times, payload ratings, and safety architectures are the language of equipment buyers, not science fairs. Agility is speaking that language fluently now.

The robot that kneels when you walk up to it might be the most important detail of all. The humanoids that win won’t just be the strongest or the smartest. They’ll be the ones people are comfortable working next to, shift after shift. Digit 5 was designed with that in mind.

For more on robotics reshaping work, see our Breaking News coverage, including how autonomous trucks are scaling toward 30,000 vehicles by 2030 and Waymo’s robotaxi fleet surging 49 percent in Texas.

Prince Mario-Max Schaumburg-Lippe: Elon Musk Predicts an AI-Driven Future Without Jobs But Robots

Elon Musk envisions a world where artificial intelligence takes over all forms of labor, leaving humanity to redefine purpose and productivity.

When Elon Musk speaks about the future, the world listens. His vision often stretches beyond the boundaries of current technology, projecting a world reshaped by innovation and automation. His latest prediction—that artificial intelligence will eventually take every job—marks a profound turning point in how we imagine human life in an era dominated by machines. The statement, shared during recent remarks and widely circulated on social media, has reignited global debate over what work, value, and creativity will mean when machines surpass human labor in every measurable way.

For Musk, this future is not dystopian. He describes it as an age of freedom, where the absence of traditional work allows people to pursue activities of personal meaning—whether that means growing vegetables, creating art, or simply living without economic pressure. His belief is rooted in the rapid acceleration of machine learning, robotics, and automation across every major industry. He suggests that the transformation will be so complete that the very concept of employment as the foundation of society may no longer exist.

This vision comes amid growing evidence of automation’s reach. Reports have indicated that Amazon could reduce its workforce by as many as 160,000 positions by 2027 due to advanced automation systems. Similar projections exist across manufacturing, logistics, and even creative industries, where generative algorithms now produce text, images, and code with extraordinary precision. Yet Musk, who has long advocated for responsible and forward-thinking adoption of AI, maintains a calm optimism. In his view, these changes signal not loss but evolution—a new balance between human intention and technological capacity.

His perspective aligns with a broader philosophical question that has followed him throughout his career: how to ensure that progress serves humanity rather than replaces it. As the founder of multiple frontier companies, from Tesla and SpaceX to Neuralink and xAI, Musk has consistently positioned himself at the intersection of human ambition and machine intelligence. His outlook suggests that automation is not merely an economic phenomenon but a civilizational shift, one that could redefine the structure of societies and the motivations that drive individuals.

Economists and sociologists have long warned that mass automation could destabilize labor markets, but Musk’s position reframes the narrative. Rather than fighting to preserve outdated models, he argues, humanity should prepare to build new systems—ones centered around universal income, creative fulfillment, and sustainable living. The idea that humans might someday “be free to grow vegetables” is not literal instruction but a metaphor for a return to simpler, voluntary pursuits after centuries of industrial dependency.

This notion resonates particularly strongly in a time when work-life balance, burnout, and mental health have become defining concerns of modern life. In Musk’s scenario, artificial intelligence becomes a liberating force, not a rival. The machines that once competed for jobs would instead perform them all, allowing people to live without economic coercion. It is a radical idea, yet consistent with the trajectory of technological progress since the Industrial Revolution—each wave of innovation reducing the need for human labor while expanding opportunity in other domains.

Still, the implications of a world without jobs are immense. Entire systems of taxation, governance, and social identity are built on the framework of employment. The idea that machines could replace this structure raises profound ethical and political challenges. Musk acknowledges that such a transformation will require deliberate management, but he insists it will ultimately lead to greater abundance rather than scarcity. He envisions a post-labor economy where goods and services are plentiful, and where technology sustains itself with minimal human oversight.

Observers note that Musk’s prediction may already be unfolding. Autonomous vehicles, robotic warehouse systems, algorithmic trading, and AI-driven customer service platforms have already displaced millions of roles. Yet as new forms of work arise—data curation, AI supervision, ethical governance—the transition has remained partial rather than total. Musk’s claim extends further: he foresees a complete handover of all productive labor to machines.

This future challenges traditional ideas about human worth. For centuries, work has been central to identity, community, and self-definition. If that structure dissolves, society must rediscover meaning outside of economic activity. Musk’s optimism suggests that the absence of necessity could reveal new forms of creativity, connection, and leisure. Critics, however, warn of inequality, emphasizing that the benefits of automation could remain concentrated among those controlling the technology.

Musk’s own ventures illustrate both sides of the debate. Tesla’s manufacturing processes rely heavily on automation, yet they have also created new classes of engineering and software roles. SpaceX’s rockets integrate advanced AI for navigation and control, but still depend on human ingenuity for design and mission planning. His new company, xAI, aims to develop artificial intelligence systems aligned with human interests, suggesting that his vision of total automation remains tempered by a deep awareness of the ethical stakes.

The discussion extends beyond technology into culture. What happens to ambition, competition, and personal growth when labor is no longer required? Musk imagines that these instincts will evolve toward exploration and creation. Freed from economic compulsion, individuals could invest their time in science, art, or philosophy. In this sense, his statement that humans will be “free to grow vegetables” symbolizes a return to balance—a rediscovery of simplicity in an age of complexity.

For many, this idea is as unsettling as it is inspiring. The thought of universal automation evokes images of displacement, but also of potential renaissance. Musk’s perspective invites society to rethink not just how we work, but why. The notion that artificial intelligence could one day perform every task once reserved for human hands forces a reconsideration of purpose itself.

The future Musk describes may still be distant, but its foundations are being laid today in laboratories, data centers, and policy debates around the world. The pace of AI advancement has surpassed earlier predictions, and with each new capability, the line between human and machine labor blurs further. Whether this transformation leads to collective freedom or fragmentation will depend not on the machines themselves, but on the systems humans build to coexist with them.

Musk’s assertion is not merely a forecast—it is a challenge. It compels governments, industries, and individuals to prepare for a world in which employment is optional and creativity is essential. It suggests that automation, handled with wisdom, could finally deliver what centuries of economic struggle have promised: a life free from necessity, guided by choice.

Prince Mario-Max Schaumburg-Lippe: How Robots On The Restaurant Floor and AI change the world.

Prince Mario-Max of Schaumburg-Lippe puts the spotlight on Robots and AI in the Culinary industry.

The restaurant industry is in the midst of a technological transformation, as automation and artificial intelligence (AI) increasingly permeate operations and redefine customer experiences. However, the integration of these technologies is not without its challenges and considerations. A critical rule of food tech investment is to avoid implementing “technology for technology’s sake,” focusing instead on solutions that genuinely enhance efficiency, productivity, and customer satisfaction.

Robotics: A Measured Approach

While robotics have been present in the restaurant industry for some time, their adoption has not been as widespread as initially anticipated. Many multi-unit operators have opted for cautious beta testing rather than full-scale deployment, citing concerns about cost-effectiveness, practicality, and actual value. The high initial investment and ongoing maintenance costs associated with robotics have made some operators hesitant to embrace them fully. Additionally, the complexities of integrating robots into existing workflows and ensuring seamless interaction with human staff have presented challenges.

However, recent advancements in robotics technology are beginning to address these concerns. RobotLab’s introduction of new systems that enable servers to summon robots on demand and assign them to tables through QR codes demonstrates a significant step towards seamless integration and improved efficiency. The partnership between Picnic Works and Roboworx to nationally roll out autonomous pizza stations further illustrates the growing potential of robotics in specific tasks. These developments suggest that as technology continues to evolve and become more affordable, robotics may play a more prominent role in restaurant operations.

AI: Personalization and Beyond

The integration of AI in the restaurant industry is not limited to robotics. AI-powered solutions are increasingly being utilized to create personalized guest experiences, a trend that is gaining significant momentum. Givex and Brightloom, for example, have introduced AI platforms that leverage customer data to tailor marketing campaigns, send personalized notifications, and provide customized recommendations. This shift towards hyper-personalization represents a departure from generic marketing approaches and aims to enhance customer engagement and loyalty.

AI is also being deployed to address operational challenges. Brightloom’s AI-powered chatbot, Answers, utilizes generative AI technology to provide operators with data-driven insights and solutions to marketing questions. This tool empowers operators to make informed decisions based on customer preferences and behaviors, ultimately improving the overall customer experience.

QR Codes: Evolving Functionality

Despite facing some criticism, QR code technology continues to evolve and find new applications in the restaurant industry. While initially used primarily for contactless menus during the pandemic, QR codes are now being leveraged for tableside payments, loyalty program integration, and even robotic interactions. NCR Voyix’s Aloha Pay-at-Table system exemplifies the growing trend of using QR codes to streamline tableside payments, allowing customers to easily view bills, split costs, and complete transactions. The partnership between Thanx and Bite, which integrates loyalty programs within kiosk technology via QR codes, further demonstrates the versatility of this technology.

Prince Mario-Max of Schaumburg-Lippe puts the spotlight on Robots and AI in the Culinary industry.
Prince Mario-Max of Schaumburg-Lippe puts the spotlight on Robots and AI in the Culinary industry.

The Path Forward: Strategic Investment

The successful integration of technology in the restaurant industry hinges on strategic investment decisions. Operators and investors must carefully evaluate the potential return on investment (ROI) of each technology and consider its long-term impact on operations and customer satisfaction. While some technologies may offer immediate benefits, others may require a more gradual implementation and adaptation process.

The evolving landscape of food tech necessitates a nuanced approach that balances innovation with practicality. By focusing on solutions that address real operational challenges, enhance customer experiences, and demonstrate a clear ROI, the restaurant industry can harness the power of technology to drive growth and create a more efficient and personalized dining experience for all.

His Highness Dr. Prince Mario-Max zu Schaumburg-Lippe is a working European Royal, German Prince and America based Media Expert.