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Every Pokémon Go player unknowingly trained future robots. Over the years, players photographed 30 billion images from cities around the world. And now that data is teaching delivery robots to navigate streets. Niantic (company behind Pokémon Go), spun out an AI company called Niantic Spatial that's turning years of...

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Rowan Cheung

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37,608 views • 3 months ago •via X (Twitter)

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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
3:24

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

NewsForce

23,642,310 views • 3 months ago

“Do you know where a sidewalk begins and ends?” — a simple question from Niantic Spatial CEO, Inhi Cho Suh, that gets to the heart of what today’s AI is missing. For robots, this isn’t theoretical. To safely navigate something as everyday as a sidewalk, they need to understand boundaries, context, and change in real time. Learn about how Niantic Spatial is building the missing piece in Physical AI. #NianticSpatial #HumanX #GeospatialAI #Robotics #AI #PhysicalAI
0:39

“Do you know where a sidewalk begins and ends?” — a simple question from Niantic Spatial CEO, Inhi Cho Suh, that gets to the heart of what today’s AI is missing. For robots, this isn’t theoretical. To safely navigate something as everyday as a sidewalk, they need to understand boundaries, context, and change in real time. Learn about how Niantic Spatial is building the missing piece in Physical AI. #NianticSpatial #HumanX #GeospatialAI #Robotics #AI #PhysicalAI

Niantic Spatial 🌎

18,656 views • 2 months ago

They just pulled off the most successful trick of the last decade. And you were probably fooled. 500 million people downloaded Pokemon Go and never knew the company was collecting 30 billion images of every space they walked through. That data was just sold off to train delivery robots. Meta has been using footage from their Ray-Ban smart glasses to train AI. That footage included people on the toilet, couples in bed, and bank card details accidentally filmed. They are now being sued in federal court. DoorDash just launched an app that pays 8 million dashers pennies to film themselves doing chores in their own homes. The footage trains the robots being built to replace them. The future they are building is one we are paying for. With our jobs. With our homes. With our most private moments.
1:13

They just pulled off the most successful trick of the last decade. And you were probably fooled. 500 million people downloaded Pokemon Go and never knew the company was collecting 30 billion images of every space they walked through. That data was just sold off to train delivery robots. Meta has been using footage from their Ray-Ban smart glasses to train AI. That footage included people on the toilet, couples in bed, and bank card details accidentally filmed. They are now being sued in federal court. DoorDash just launched an app that pays 8 million dashers pennies to film themselves doing chores in their own homes. The footage trains the robots being built to replace them. The future they are building is one we are paying for. With our jobs. With our homes. With our most private moments.

The White Rabbit

87,788 views • 1 month ago

New food delivery robots are encountering unforeseen obstacles when attempting to make deliveries, America’s crumbling roads and sidewalks These delivery robots encounter sidewalks that haven’t been maintained, they can’t navigate this terrain If the bump is big enough, they stop completely These are Starship Technologies autonomous delivery robots. They have 6 wheels, use cameras, radar, ultrasonic sensors, GPS, and AI machine learning to navigate and they still can’t handle how bad our infrastructure is getting
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New food delivery robots are encountering unforeseen obstacles when attempting to make deliveries, America’s crumbling roads and sidewalks These delivery robots encounter sidewalks that haven’t been maintained, they can’t navigate this terrain If the bump is big enough, they stop completely These are Starship Technologies autonomous delivery robots. They have 6 wheels, use cameras, radar, ultrasonic sensors, GPS, and AI machine learning to navigate and they still can’t handle how bad our infrastructure is getting

Wall Street Apes

128,205 views • 1 month ago

Why We Ship: Kled AI Pokémon Go players generated 30 billion images and videos that Niantic used, and never saw a cent for it. Avi Patel built Kled so the people generating the data get rewarded. 50,000 DMs and three and a half years later, it's the largest human-powered data collection effort in history, distributing rewards on Solana.
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Why We Ship: Kled AI Pokémon Go players generated 30 billion images and videos that Niantic used, and never saw a cent for it. Avi Patel built Kled so the people generating the data get rewarded. 50,000 DMs and three and a half years later, it's the largest human-powered data collection effort in history, distributing rewards on Solana.

Solana

403,422 views • 1 month ago

“In a couple of years, you’ll see humanoid robots walking around. But they need a lot of infrastructure. They need a lot of data to understand what’s happening and where. They need exact positioning, for example. They need real-time streaming and edge computing. And there are a lot of DePINs that are basically creating the infrastructure physical AI needs to navigate the world.” – peaq co-founder Leo
0:30

“In a couple of years, you’ll see humanoid robots walking around. But they need a lot of infrastructure. They need a lot of data to understand what’s happening and where. They need exact positioning, for example. They need real-time streaming and edge computing. And there are a lot of DePINs that are basically creating the infrastructure physical AI needs to navigate the world.” – peaq co-founder Leo

peaq

68,500 views • 1 year ago

🤖🌍 “Humanoid robots are coming, and they need to know how to understand and navigate through physical space,” John Hanke, CEO of Niantic Spatial, talks geospatial AI and robotics with Moritz Baier-Lentz and Hemal Thaker on the latest Game Theory podcast. 🔗See full episode here: #NianticSpatial #SpatialComputing #GeospatialAI
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🤖🌍 “Humanoid robots are coming, and they need to know how to understand and navigate through physical space,” John Hanke, CEO of Niantic Spatial, talks geospatial AI and robotics with Moritz Baier-Lentz and Hemal Thaker on the latest Game Theory podcast. 🔗See full episode here: #NianticSpatial #SpatialComputing #GeospatialAI

Niantic Spatial 🌎

17,257 views • 1 year ago

The Information: Amazon is gearing up to test humanoid robots that walk on two legs to deliver packages. The company has set up an indoor obstacle course to test robots from a variety of companies, including Unitree. Eventually, humanoid robots could ride in Amazon’s electric Rivian delivery vans and autonomously deliver packages.
0:20

The Information: Amazon is gearing up to test humanoid robots that walk on two legs to deliver packages. The company has set up an indoor obstacle course to test robots from a variety of companies, including Unitree. Eventually, humanoid robots could ride in Amazon’s electric Rivian delivery vans and autonomously deliver packages.

The Humanoid Hub

394,460 views • 1 year ago

From a small Noida facility six years ago to exporting robots to 25 countries 🌍🤖 Inside Addverb largest mobile robotics factory, 900 engineers are building machines that now power warehouses and industries across India, the US, Europe, Australia and beyond. With capacity to manufacture 100,000 robots a year and a target of 50% India, 50% global revenue, this is a company betting big on “Made in India, for the world.” Shereen Bhan gets an inside look at how a decade-old startup is scaling into a global automation player. #YoungTurksReloaded #Addverb #Robotics #MakeInIndia #AI #Automation #IndianStartups
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From a small Noida facility six years ago to exporting robots to 25 countries 🌍🤖 Inside Addverb largest mobile robotics factory, 900 engineers are building machines that now power warehouses and industries across India, the US, Europe, Australia and beyond. With capacity to manufacture 100,000 robots a year and a target of 50% India, 50% global revenue, this is a company betting big on “Made in India, for the world.” Shereen Bhan gets an inside look at how a decade-old startup is scaling into a global automation player. #YoungTurksReloaded #Addverb #Robotics #MakeInIndia #AI #Automation #IndianStartups

CNBC-TV18

14,035 views • 4 months ago

Manual labor is a bottleneck in data center construction. Raghu Raghuram says that's an incentive for new robots to exist. We'll develop robots to build the data centers behind AI. Infrastructure is downstream of innovation: a single use case motivates a breakthrough, and the solution proliferates. Raghu Raghuram
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Manual labor is a bottleneck in data center construction. Raghu Raghuram says that's an incentive for new robots to exist. We'll develop robots to build the data centers behind AI. Infrastructure is downstream of innovation: a single use case motivates a breakthrough, and the solution proliferates. Raghu Raghuram

a16z

43,832 views • 8 months ago

.IBM SVP of Software Rob Thomas on why they acquired Confluent for $11 billion. "In our view, Confluent and the capability they provide is going to be up and to the right when it comes to AI.” “The need for data to support anything that a company wants to do in terms of intelligence and how they operate, that's not gonna change. If anything, that demand is only going to go up.” Full episode:
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.IBM SVP of Software Rob Thomas on why they acquired Confluent for $11 billion. "In our view, Confluent and the capability they provide is going to be up and to the right when it comes to AI.” “The need for data to support anything that a company wants to do in terms of intelligence and how they operate, that's not gonna change. If anything, that demand is only going to go up.” Full episode:

The Information

10,377 views • 6 months ago

ELON: HUMANOID ROBOTS WILL OUTNUMBER OTHER ROBOTS BY FAR “Something that's going to be very important in the future is combining deep AI in the data center or supercluster with robotics, like the Optimus humanoid robot. Optimus is awesome. There's going to be so many humanoid robots and robots of all sizes and shapes. But my prediction is that there will be more humanoid robots by far than all other robots combined by maybe an order of magnitude, like a big difference.” Source: Interview at Y Combinator, June 2025
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ELON: HUMANOID ROBOTS WILL OUTNUMBER OTHER ROBOTS BY FAR “Something that's going to be very important in the future is combining deep AI in the data center or supercluster with robotics, like the Optimus humanoid robot. Optimus is awesome. There's going to be so many humanoid robots and robots of all sizes and shapes. But my prediction is that there will be more humanoid robots by far than all other robots combined by maybe an order of magnitude, like a big difference.” Source: Interview at Y Combinator, June 2025

Mario Nawfal

89,193 views • 1 year ago

Germany-based Agile Robots has introduced its humanoid robot, Agile One, designed for industrial environments. It features a dexterous robotic hand and runs on a physical AI system trained using real factory data, allowing it to work and interact autonomously. The company is now aiming to move Agile One into full-scale production.
0:26

Germany-based Agile Robots has introduced its humanoid robot, Agile One, designed for industrial environments. It features a dexterous robotic hand and runs on a physical AI system trained using real factory data, allowing it to work and interact autonomously. The company is now aiming to move Agile One into full-scale production.

Space and Technology

37,743 views • 2 months ago

When will a team of robots be able to beat a professional soccer team in the game of soccer? 🤔 Many in robotics have thought that it would take at least 15-20 years for robots to reach that point. But today 60 Minutes showed some of Google Deep Mind's work on robots playing soccer. Robots are using neural nets to learn how to walk, kick and play soccer, and they're improving very rapidly. It might be a lot sooner than most people think before we have robots able to beat professional athletes at their own sports.
0:48

When will a team of robots be able to beat a professional soccer team in the game of soccer? 🤔 Many in robotics have thought that it would take at least 15-20 years for robots to reach that point. But today 60 Minutes showed some of Google Deep Mind's work on robots playing soccer. Robots are using neural nets to learn how to walk, kick and play soccer, and they're improving very rapidly. It might be a lot sooner than most people think before we have robots able to beat professional athletes at their own sports.

Dave Lee

177,070 views • 3 years ago

You've probably heard about GPS. But have you heard about VPS? It's the visual positioning tech that gives robots and AR glasses centimeter-level accuracy where GPS fails. Here's how it works: 0:00 - Intro 0:19 - How GPS Actually Works 1:28 - The Problem with GPS for AR & Robotics 2:06 - What is VPS? (Visual Positioning System) 2:38 - Use Cases: Delivery Robots & Drones 3:17 - VPS in Action: Apple Vision Pro & Meta Quest 3:53 - Scanning Your World with an iPhone (Multiset AI) 4:31 - Key Takeaways 4:48 - The Future: Spatial Intelligence
5:21

You've probably heard about GPS. But have you heard about VPS? It's the visual positioning tech that gives robots and AR glasses centimeter-level accuracy where GPS fails. Here's how it works: 0:00 - Intro 0:19 - How GPS Actually Works 1:28 - The Problem with GPS for AR & Robotics 2:06 - What is VPS? (Visual Positioning System) 2:38 - Use Cases: Delivery Robots & Drones 3:17 - VPS in Action: Apple Vision Pro & Meta Quest 3:53 - Scanning Your World with an iPhone (Multiset AI) 4:31 - Key Takeaways 4:48 - The Future: Spatial Intelligence

Bilawal Sidhu

14,757 views • 5 months ago

NEWS: DeepMind teaches robots to play soccer. In a paper released today Google's DeepMind details how they used Deep Reinforcement Learning (Deep RL) to train low-cost, miniature humanoid robots in dynamic environments, allowing them to play a simplified one-versus-one (1v1) soccer game. The robots, equipped with 20 actuated joints, were initially trained in simulation using the MuJoCo physics engine. Through this training, they learned robust and dynamic movement skills like rapid fall recovery, walking, turning, and kicking. The robots seamlessly transitioned between these skills, even surpassing expectations, and developed a basic strategic understanding of the game. During matches, the trained robots demonstrated agile skills such as turning, kicking moving balls, and dynamic defensive blocking. They quickly combined these skills, showcasing their adaptability and outperforming scripted baselines. The robots walked faster, got up quicker, and kicked faster than their counterparts. Individual skills were first trained in isolation within the simulation environment, and then composed in a self-play setting. The robots successfully transferred these skills to real-world scenarios. Full paper can be found here:
2:34

NEWS: DeepMind teaches robots to play soccer. In a paper released today Google's DeepMind details how they used Deep Reinforcement Learning (Deep RL) to train low-cost, miniature humanoid robots in dynamic environments, allowing them to play a simplified one-versus-one (1v1) soccer game. The robots, equipped with 20 actuated joints, were initially trained in simulation using the MuJoCo physics engine. Through this training, they learned robust and dynamic movement skills like rapid fall recovery, walking, turning, and kicking. The robots seamlessly transitioned between these skills, even surpassing expectations, and developed a basic strategic understanding of the game. During matches, the trained robots demonstrated agile skills such as turning, kicking moving balls, and dynamic defensive blocking. They quickly combined these skills, showcasing their adaptability and outperforming scripted baselines. The robots walked faster, got up quicker, and kicked faster than their counterparts. Individual skills were first trained in isolation within the simulation environment, and then composed in a self-play setting. The robots successfully transferred these skills to real-world scenarios. Full paper can be found here:

Dave Lee

372,039 views • 3 years ago

.Ilya Sutskever on why OpenAI gave up on robotics: "Progress comes from the combination of compute and data. There was no path to data from robotics. I'd say that now it is possible to create a path forward, but one needs to really commit. You could imagine a gradual path of improvement where you build more robots, they do more things, you collect more data and so on. But you need to really love robots and need to be really willing to solve all the physical and logistical problems of dealing with them. It's not the same as software at all."
1:57

.Ilya Sutskever on why OpenAI gave up on robotics: "Progress comes from the combination of compute and data. There was no path to data from robotics. I'd say that now it is possible to create a path forward, but one needs to really commit. You could imagine a gradual path of improvement where you build more robots, they do more things, you collect more data and so on. But you need to really love robots and need to be really willing to solve all the physical and logistical problems of dealing with them. It's not the same as software at all."

Dwarkesh Patel

325,820 views • 2 years ago

VPS or visual positioning system... this is how AR glasses and robots will understand where they are in the real world and know where to go. It’s also how you can spatially annotate reality with cm level accuracy - all using a machine readable model of the world.
0:23

VPS or visual positioning system... this is how AR glasses and robots will understand where they are in the real world and know where to go. It’s also how you can spatially annotate reality with cm level accuracy - all using a machine readable model of the world.

Bilawal Sidhu

27,898 views • 6 months ago

German robotics company NEURA Robotics has created NEURA Gym: a large-scale, physical AI gym and training ground where hundreds of robots, including the humanoid 4NE-1, learn through real-world interactions. The company is collaborating with the Neuraverse ecosystem to create the world's largest repository of physical training data, promoting the application of humanoid robots.
1:39

German robotics company NEURA Robotics has created NEURA Gym: a large-scale, physical AI gym and training ground where hundreds of robots, including the humanoid 4NE-1, learn through real-world interactions. The company is collaborating with the Neuraverse ecosystem to create the world's largest repository of physical training data, promoting the application of humanoid robots.

CyberRobo

71,698 views • 8 months ago

The robots are coming! Chamath: We are a couple of years away from autonomous robots in the house On E217, Chamath Palihapitiya broke down a video from Figure after CEO Brett Adcock announced they were accelerating their timeline to get robots into homes. In the video, you can see two autonomous robots communicating and working together! Chamath: "(Brett is) going to be beta testing robots in the home by the middle to end of this year." "In this example, what you're seeing are the two robots basically figuring out how to communicate semantically between (them), and that's incredibly powerful." "The coolest part of this demo, by the way, which I loved, was they take an apple and then the second robot figures out that it should go in the fruit bowl (and) pushes the fruit bowl to the first robot." @jason: "Oh, that's cool. There it is!" Chamath: "That level of semantic awareness and understanding between two models working dependently is very cool." Jason: "If they can make these for, what, Chamath, $20K? When do you think it becomes something a middle class household, you know, dual-income household would buy one of these?" "We're probably a couple years away."
0:41

The robots are coming! Chamath: We are a couple of years away from autonomous robots in the house On E217, Chamath Palihapitiya broke down a video from Figure after CEO Brett Adcock announced they were accelerating their timeline to get robots into homes. In the video, you can see two autonomous robots communicating and working together! Chamath: "(Brett is) going to be beta testing robots in the home by the middle to end of this year." "In this example, what you're seeing are the two robots basically figuring out how to communicate semantically between (them), and that's incredibly powerful." "The coolest part of this demo, by the way, which I loved, was they take an apple and then the second robot figures out that it should go in the fruit bowl (and) pushes the fruit bowl to the first robot." @jason: "Oh, that's cool. There it is!" Chamath: "That level of semantic awareness and understanding between two models working dependently is very cool." Jason: "If they can make these for, what, Chamath, $20K? When do you think it becomes something a middle class household, you know, dual-income household would buy one of these?" "We're probably a couple years away."

The All-In Podcast

254,009 views • 1 year ago