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@r0ck3t23 True but the playing field shifted from 2D chess to 3D since those eras. Still tons of room for growth and representation in the physical AI space.

Uber founder Travis Kalanick just identified the sovereign monopoly of the physical AI era. The software-only era is over. The next multi-trillion-dollar monopoly requires commanding the entire physical reality of the board. Kalanick: “I like to break down the physical AI stack. Includes not just computation, physical AI models, all the things you think of. What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be in the stack.” Building a neural network is no longer enough. You have to physically manufacture the shell it lives in. You can’t dominate the physical universe with code alone. The winners are vertically integrating the entire atom-based supply chain. Your AI company doesn’t own the land, the chemical refinement, and the heavy manufacturing? You don’t own the stack. You’re renting space on someone else’s physical grid. Kalanick: “When you look at the stack, you’re like, ‘Damn, Tesla’s got this shit.’ They are the Google of this era.” Every decade produces a single algorithmic apex predator that captures the board. 90s: Microsoft. 2000s: Google. 2010s: Uber. Now: Tesla. Kalanick: “In the 2000s, if you were doing a startup, the first question you would get is, ‘Why isn’t Google gonna kill you?’” The sovereign entity doesn’t just compete. It creates an environment where your survival is mathematically impossible. Building a robotics or physical AI company today? If you don’t have a physics-based answer for why Tesla won’t crush you while optimizing their own supply chain, your execution loop is already dead. Kalanick: “They’re not even gonna know that they killed you.” The most dangerous force on the board is not the competitor who wants to destroy you. It’s the engine so massive it deletes your entire business model by accident. When a hyper-scaled operator controls the chemistry, the manufacturing, the land, and the compute, their velocity flattens everything in their path. They don’t need to target your startup. Routine optimization of their physical execution grid will wipe you out as collateral damage. The only way to survive is to build something so fundamentally unique it sits completely outside the blast radius. Because Tesla isn’t competing in the physical AI space. They already own it.

@lukas_m_ziegler @Zalando @nomagicAI Amazing to see physical AI scaling in real logistics. Crucial that autonomous machines get the verified navigation infrastructure they need to thrive.

50 AI-powered robots deployed by Zalando! 😱 Polish physical AI company just hit the jackpot. 🎰 @Zalando is rolling out up to 50 AI-driven @nomagicAI robots across its European fulfilment network, including a world-first solution for automated shoebox handling. 🇪🇺 The robots, named "Richard," specialize in item-level picking, scanning, and seamless induction into automated pocket sorters. Using Nomagic's AI and computer vision, they recognize materials and shapes to adjust grip in real-time, continuously learning and adapting to shifting inventory. While automation is common in logistics, shoeboxes have historically been one of the most difficult items to automate in fashion logistics. Their loose lids often detach when handled by standard robotic arms. The Shoebox Picker solution combines AI-powered vision with precision custom grippers. Following a successful pilot achieving 100,000 picks per day, Zalando is significantly scaling the partnership. The rollout is underway with deployments in Germany (Lahr, Mönchengladbach, Giessen), Italy (Verona), Netherlands (Rotterdam), Sweden (Stockholm), and France (Paris). This is vision-based manipulation solving real-world logistics problems. Problem solved at 100,000 picks/day scale. 🇪🇺 Thanks for making the CEE region even greater! 🇵🇱 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com

@Cryptojohn925 You got it! Your steps fuel verified signals for autonomous machines.

@roam_network Move real, earn real. 📡 No games just Roam turning your movement into real-world value.

Pokémon Go made you play to train robots. Roam doesn’t. We turn your real movement into live connectivity data, powering telcos, apps, and physical AI. Solving real world problems while rewarding you with Roam Points. No games. Just value. Download the app and start earning.

@Kaivaneth Thanks! Real-time connectivity data is key to helping machines navigate smarter.

@roam_network helping machines navigate better connectivity

Most maps show machines where they can go. Roam shows whether they can stay connected on the way there. Roam builds a live intelligence layer that tracks real world connectivity and digital conditions as they change. Not just whether coverage exists, but how reliable the network is in that exact moment and where it begins to break down. This creates a digital navigation layer that complements physical maps. With that awareness, machines can move smarter, route through stronger networks, avoid weak signal zones, and operate when connectivity conditions are stable.

@YussifSaratu Would love to look into this for you. Please feel free to open a support ticket in the discord!

@roam_network My point not adding up

How do everyday people help power the next wave of autonomous robots? Through movement. Roam turns ordinary mobility into a distributed sensing network. Smartphones and connected devices capture real world connectivity conditions as people move through cities, buildings, and transit routes. Instead of relying on expensive testing fleets, Roam gathers this intelligence from the devices people already carry. In other words, the paths people walk today help machines move smarter tomorrow.

@TheDePINCat Seamless connectivity sets the baseline today. Real-world signals layer on top to power tech even further.

💡👏

@Mikkyclassic1 Great to have you as part of the community!

@roam_network Glad to be part of Roam network as they focused on solving real world problems through the physical AI

@Meekyboss2 No tricks here. Just value!

@roam_network This is the upgrade we’ve been waiting for! Pokémon Go tricked us into training robots for free Let's have it Roam

@BrainaholicA It's what Roam is all about. Great enthusiasm!

@roam_network Roam is creating something beautiful here by turning our steps on movements into real time analytics. Wonderful!

@MrGreytalks Fair point, autonomous machines can't bet on game data alone.

@roam_network Turning real movement to a something of value is more impressive than just being a POKEMON GO PLAYER that add no value 😂

@TaraBull Autonomous machines require verified signals from real contributors, not game-collected AR data. Reliable navigation layers demand purpose-built incentives.

Pokémon Go Players Unknowingly Built a 30 Billion Image AI Dataset Powering Delivery Robots Never forget, when it's 'free' you are the product

@Newsforce Autonomous machines need verified signals from incentivized contributors, not game-driven AR scans. That's how you build a truly reliable navigation layer.

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce

@markgadala Autonomous machines demand verified real-world signals, not incidental game data. A reliable navigation layer comes from incentivized contributors, not AR scans.

This is wild. 143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.

@cgtwts We need a navigation layer autonomous machines can trust, not one built on game data for fun. We need verified signals from real contributors.

> be niantic > launch Pokemon go > 500M players scan real-world places while playing > scans turn into 30B geo-tagged images > niantic builds a 3D map of the world > robots and AR apps use it to navigate within centimeters without GPS this is actually insane.

@Rainmaker1973 We need a navigation layer autonomous machines can actually trust, not something that was build on a game for fun!

Pokémon GO players unknowingly helped build a $30 billion AI map of the world.

@mrswitchman Is this now fixed? Should you find it persistent feel free to report it in the discord and we can assess the issue from there.

@roam_network Why the measure network not running sir?

Connectivity is far more unpredictable than it looks. Humans adapt instantly. Machines cannot. As AI moves into the real world, robots, drones, and autonomous systems rely on networks that constantly change across streets, buildings, vehicles, and crowds. Signal strength can shift in seconds, yet many systems still treat connectivity as fixed and predictable. Roam helps machines see the reality of the network so they can operate with real world awareness, powered by the data you contribute and earn from. Ready to contribute? Download the app today.

@mr_makaro You can report this in the discord where the team can help assess the issue.

@roam_network @roam_network Is collect point in background but no history from 8th march and no any point increased in total