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Almost every robot you see... runs on this equation. Not AI. Not machine learning. PID. For over 100 years, this simple control algorithm has been quietly keeping robots balanced, drones stable, industrial machines precise, and even rockets on course. Most people never hear about it. Yet without PID, many...

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CTO ROBOTICS Media

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46,122 views • 3 months ago •via X (Twitter)

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Engineers: “This is a breakthrough in soft robotics.” Twitter: “Bro built an AI vibrator.” 🤦‍♂️ Researchers at the University of Southern Denmark created a soft robot that moves by inflating and contracting its body like a worm. Jokes aside… robots like this could actually be useful for rescue missions and environments where traditional robots fail. But let’s be honest: you already know what most comment sections are going to talk about 💀 🎥 Media: SDU Soft Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.
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Engineers: “This is a breakthrough in soft robotics.” Twitter: “Bro built an AI vibrator.” 🤦‍♂️ Researchers at the University of Southern Denmark created a soft robot that moves by inflating and contracting its body like a worm. Jokes aside… robots like this could actually be useful for rescue missions and environments where traditional robots fail. But let’s be honest: you already know what most comment sections are going to talk about 💀 🎥 Media: SDU Soft Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

CTO ROBOTICS Media

422,795 views • 4 months ago

China is scaling humanoid robotics at an insane speed. Super realistic robots from Ex-Robots are now reportedly entering mass production 🤖 - Not prototypes. - Not lab experiments. - Actual production. The biggest shift happening in robotics isn’t just intelligence anymore. It’s making robots look and behave socially acceptable around humans. And honestly… we’re reaching the point where some people may not immediately realize they’re talking to a robot. Exciting future or uncomfortable future? Media : Ex-Robots ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.
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China is scaling humanoid robotics at an insane speed. Super realistic robots from Ex-Robots are now reportedly entering mass production 🤖 - Not prototypes. - Not lab experiments. - Actual production. The biggest shift happening in robotics isn’t just intelligence anymore. It’s making robots look and behave socially acceptable around humans. And honestly… we’re reaching the point where some people may not immediately realize they’re talking to a robot. Exciting future or uncomfortable future? Media : Ex-Robots ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

CTO ROBOTICS Media

13,412 views • 4 months ago

Researchers at Columbia University have developed modular robots that can adapt, repair, and even rebuild themselves using a concept called robot metabolism. 🤖 Instead of remaining fixed, these robots can detach, reconnect, and reorganize their own structure based on the task or environment. If one part is damaged, the system can replace or rearrange itself rather than stopping completely. This could reshape the future of disaster response, industrial automation, and even space exploration. The idea of robots that evolve instead of wear out is becoming more than science fiction. What real-world application do you think will benefit most from this technology? 🎥 Media: Columbia University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.
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Researchers at Columbia University have developed modular robots that can adapt, repair, and even rebuild themselves using a concept called robot metabolism. 🤖 Instead of remaining fixed, these robots can detach, reconnect, and reorganize their own structure based on the task or environment. If one part is damaged, the system can replace or rearrange itself rather than stopping completely. This could reshape the future of disaster response, industrial automation, and even space exploration. The idea of robots that evolve instead of wear out is becoming more than science fiction. What real-world application do you think will benefit most from this technology? 🎥 Media: Columbia University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

CTO ROBOTICS Media

3,693,765 views • 3 months ago

This is the kind of project that quietly changes an industry. Instead of using traditional slicers, this creator built an app that converts hand-drawn curves directly into printable G-code for spiral vase mode prints. App → G-code → Print. - No complicated workflow. - No heavy setup. - Just turning ideas into physical objects almost instantly. The interesting part isn’t just the print quality. It’s how tools are becoming so simple that more people can create complex things without needing advanced technical knowledge. Would tools like this make 3D printing finally mainstream? 🎥 Media: ( Instagram ) ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.
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This is the kind of project that quietly changes an industry. Instead of using traditional slicers, this creator built an app that converts hand-drawn curves directly into printable G-code for spiral vase mode prints. App → G-code → Print. - No complicated workflow. - No heavy setup. - Just turning ideas into physical objects almost instantly. The interesting part isn’t just the print quality. It’s how tools are becoming so simple that more people can create complex things without needing advanced technical knowledge. Would tools like this make 3D printing finally mainstream? 🎥 Media: ( Instagram ) ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

CTO ROBOTICS Media

132,290 views • 4 months ago

5-axis 3D printing is pushing additive manufacturing beyond traditional limits. 🤯 This helical coil was produced using the 5-axis system developed by Generative Machine Company, with Aibuild software generating the synchronized multi-axis toolpath. The machine and software work together to dynamically control the print path, layer height and speed, allowing complex geometries to be produced without traditional support structures. Aibuild and Generative Machine Company are showing what happens when advanced software and multi-axis hardware are designed to work as one system. Could 5-axis printing become the future of complex-part manufacturing? 👀 🎥 Media: Aibuild × Generative Machine Company ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Aibuild #GenerativeMachine #GenerationOne #5Axis3DPrinting #AdditiveManufacturing #3DPrinting #Robotics #AdvancedManufacturing #Engineering #Manufacturing #CTORoboticsMedia 
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5-axis 3D printing is pushing additive manufacturing beyond traditional limits. 🤯 This helical coil was produced using the 5-axis system developed by Generative Machine Company, with Aibuild software generating the synchronized multi-axis toolpath. The machine and software work together to dynamically control the print path, layer height and speed, allowing complex geometries to be produced without traditional support structures. Aibuild and Generative Machine Company are showing what happens when advanced software and multi-axis hardware are designed to work as one system. Could 5-axis printing become the future of complex-part manufacturing? 👀 🎥 Media: Aibuild × Generative Machine Company ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Aibuild #GenerativeMachine #GenerationOne #5Axis3DPrinting #AdditiveManufacturing #3DPrinting #Robotics #AdvancedManufacturing #Engineering #Manufacturing #CTORoboticsMedia 

CTO ROBOTICS Media

14,255 views • 1 month ago

⚠️THIS IS WHAT PEOPLE ACTUALLY MEAN WHEN THEY JOKE ABOUT WANTING A ROBOT HUSBAND. He's doing the dishes. Then he's vacuuming the living room. No sighing about it, no "I'll do it later," no arguing about whose turn it is. Just cute, strong, and quietly getting through the list without being asked twice. That's the actual pitch behind this whole genre of clip. Not the metal arms, not the robot parts. The fantasy is a partner who's genuinely good looking, physically capable of anything around the house, and does the work without turning it into a negotiation. The honest catch: obviously none of this is real. This is AI generated concept content, not a real robot and not a real person. Nobody's building a chore-doing, conflict-free, perfect partner anytime soon. But the fantasy still says something true, a lot of relationship frustration isn't really about looks or strength, it's the arguing, the reminding, the doing it yourself anyway. This clip skips straight past all of that. The robot husband joke works because it's not really about robots. It's about how low the actual bar is. Would you take the "does chores without complaint" part even without the robot body attached, or is the whole fantasy the package deal?
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⚠️THIS IS WHAT PEOPLE ACTUALLY MEAN WHEN THEY JOKE ABOUT WANTING A ROBOT HUSBAND. He's doing the dishes. Then he's vacuuming the living room. No sighing about it, no "I'll do it later," no arguing about whose turn it is. Just cute, strong, and quietly getting through the list without being asked twice. That's the actual pitch behind this whole genre of clip. Not the metal arms, not the robot parts. The fantasy is a partner who's genuinely good looking, physically capable of anything around the house, and does the work without turning it into a negotiation. The honest catch: obviously none of this is real. This is AI generated concept content, not a real robot and not a real person. Nobody's building a chore-doing, conflict-free, perfect partner anytime soon. But the fantasy still says something true, a lot of relationship frustration isn't really about looks or strength, it's the arguing, the reminding, the doing it yourself anyway. This clip skips straight past all of that. The robot husband joke works because it's not really about robots. It's about how low the actual bar is. Would you take the "does chores without complaint" part even without the robot body attached, or is the whole fantasy the package deal?

V0LYX

81,329 views • 1 month ago

If you’ve been ignoring Axis Robotics because it looks like another random points farm, read this. In the last 48 hours, Unitree said robotics is approaching its "ChatGPT moment", while the chairman of ACE Robotics believes it could happen by the end of 2027. But for robots to reach that level, they need a crazy amount of training data. That’s exactly what Axis is building. You control simulated robots directly from your browser, complete simple tasks and earn points. Those movements also help create data that can be used to train real robots. And this isn’t some tiny experiment anymore: - $12M raised - 123K+ contributors - 3M+ robot trajectories - Community data already used to train a real robot So yeah, we’re basically farming a potential airdrop while teaching our future robot servants how to work 😂 If you haven’t started yet, it’s completely free. You only need a tiny amount of gas on Base to sign your completed tasks. ✅ Start farming Axis points: Important: Sign every completed task from the History page, otherwise you won’t receive the points.
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If you’ve been ignoring Axis Robotics because it looks like another random points farm, read this. In the last 48 hours, Unitree said robotics is approaching its "ChatGPT moment", while the chairman of ACE Robotics believes it could happen by the end of 2027. But for robots to reach that level, they need a crazy amount of training data. That’s exactly what Axis is building. You control simulated robots directly from your browser, complete simple tasks and earn points. Those movements also help create data that can be used to train real robots. And this isn’t some tiny experiment anymore: - $12M raised - 123K+ contributors - 3M+ robot trajectories - Community data already used to train a real robot So yeah, we’re basically farming a potential airdrop while teaching our future robot servants how to work 😂 If you haven’t started yet, it’s completely free. You only need a tiny amount of gas on Base to sign your completed tasks. ✅ Start farming Axis points: Important: Sign every completed task from the History page, otherwise you won’t receive the points.

Pranjal Bora 🧭

31,455 views • 1 month ago

For 41 years, to find shortest paths in a graph, the Dijkstra’s algorithm, was seen as the best possible way. Not any longer: Now a team from Tsinghua University has beaten it. They created the first faster algorithm for directed shortest paths since 1984. • Faster than Dijkstra on large sparse graphs • Works with real, non-negative edge weights • Proves that sorting is not the main bottleneck anymore Shortest-path algorithms power maps, GPS, logistics, networking, and robotics. This result shows that even the most “finished” algorithms can still be improved. Thanks for sharing, Md Ismail Šojal 🕷️! 📍 Paper: —— Weekly robotics and AI insights. Subscribe free:
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For 41 years, to find shortest paths in a graph, the Dijkstra’s algorithm, was seen as the best possible way. Not any longer: Now a team from Tsinghua University has beaten it. They created the first faster algorithm for directed shortest paths since 1984. • Faster than Dijkstra on large sparse graphs • Works with real, non-negative edge weights • Proves that sorting is not the main bottleneck anymore Shortest-path algorithms power maps, GPS, logistics, networking, and robotics. This result shows that even the most “finished” algorithms can still be improved. Thanks for sharing, Md Ismail Šojal 🕷️! 📍 Paper: —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

95,372 views • 9 months ago

Rare-event discovery for robots training is what we’ve been working on lately How would a robot react to an unusual event? What if a firefighter drone won’t be able to choke a fire (like on the video below)? Robo-doctors use cases? How to mass-produce these situations to train robots to see & react the best way? I think that open-sourced, world models like LTX can become the solution for such training process. And they might become the differentiator for the future of robotics. Of course, I’m not an expert in robotics and ML, but this topic makes me curious - and I’m curious about your thoughts
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Rare-event discovery for robots training is what we’ve been working on lately How would a robot react to an unusual event? What if a firefighter drone won’t be able to choke a fire (like on the video below)? Robo-doctors use cases? How to mass-produce these situations to train robots to see & react the best way? I think that open-sourced, world models like LTX can become the solution for such training process. And they might become the differentiator for the future of robotics. Of course, I’m not an expert in robotics and ML, but this topic makes me curious - and I’m curious about your thoughts

AmirMušić

41,839 views • 1 month ago

A simple MPC controller for path tracking implemented in python. Few resources actually teach it without assuming a PhD first. This open-source project does exactly that: An iterative MPC tracking controller (built with CVXPY and MuJoCo) that shows how to make a robot (or autonomous vehicle) follow a path and avoid obstacles in real time. → Autonomous logistics, robot navigation, vehicle control; there's a path-following algorithm behind all of it. → Most implementations are black boxes. This one shows you what's actually happening. → It uses convex optimization (no non-linear solver), and still handles real vehicle physics through iterative linearization. What makes it practical is that you can run it with the mushr car model in MuJoCo, or headless without any physics simulation if you just want to understand the logic. If you're making the jump from classical control to real-time optimisation, this is a very good starting point. 📌 Repository: ——- Weekly robotics and AI insights. Subscribe free:
0:14

A simple MPC controller for path tracking implemented in python. Few resources actually teach it without assuming a PhD first. This open-source project does exactly that: An iterative MPC tracking controller (built with CVXPY and MuJoCo) that shows how to make a robot (or autonomous vehicle) follow a path and avoid obstacles in real time. → Autonomous logistics, robot navigation, vehicle control; there's a path-following algorithm behind all of it. → Most implementations are black boxes. This one shows you what's actually happening. → It uses convex optimization (no non-linear solver), and still handles real vehicle physics through iterative linearization. What makes it practical is that you can run it with the mushr car model in MuJoCo, or headless without any physics simulation if you just want to understand the logic. If you're making the jump from classical control to real-time optimisation, this is a very good starting point. 📌 Repository: ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

16,064 views • 27 days ago

JUST IN: Reimagine Robotics has just emerged from stealth! 🥷🏻 Its approach to robot training is one of the most human-centric I've seen. The founder is Jonathan Scholz, the person who built and led Google DeepMind's Applied Robotics team in London for seven years. This is not a first-time founder taking a swing at robotics. He has spent a decade at the frontier of the field. The philosophy is powerful. He calls it "monkey-see, monkey-do." 🐒 A worker shows the robot what to do. Watches it attempt the task. Corrects it on the spot. The robot learns. No specialist programmers. No months of integration. And it's already working in the real world: → A made-to-order plastics business trained robots to tend 3D printers overnight, removing print beds, operating latches, pressing controls → A hard drive disassembly facility built a three-robot cell combining robots and people to recover critical materials → Time to prototype and test a new robot behaviour reduced from one day to 10 MINUTES That last number is the one that changes everything. When testing a new behaviour takes 10 minutes instead of a day, the entire pace of deployment transforms. Scholz's framing of the human-robot relationship is worth reading carefully: "A robot that learns on the job depends on people. The worker identifies the bottleneck, shows the robot how to help, and corrects it until it is useful." It's August, and we keep getting robotics bangers week in week. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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JUST IN: Reimagine Robotics has just emerged from stealth! 🥷🏻 Its approach to robot training is one of the most human-centric I've seen. The founder is Jonathan Scholz, the person who built and led Google DeepMind's Applied Robotics team in London for seven years. This is not a first-time founder taking a swing at robotics. He has spent a decade at the frontier of the field. The philosophy is powerful. He calls it "monkey-see, monkey-do." 🐒 A worker shows the robot what to do. Watches it attempt the task. Corrects it on the spot. The robot learns. No specialist programmers. No months of integration. And it's already working in the real world: → A made-to-order plastics business trained robots to tend 3D printers overnight, removing print beds, operating latches, pressing controls → A hard drive disassembly facility built a three-robot cell combining robots and people to recover critical materials → Time to prototype and test a new robot behaviour reduced from one day to 10 MINUTES That last number is the one that changes everything. When testing a new behaviour takes 10 minutes instead of a day, the entire pace of deployment transforms. Scholz's framing of the human-robot relationship is worth reading carefully: "A robot that learns on the job depends on people. The worker identifies the bottleneck, shows the robot how to help, and corrects it until it is useful." It's August, and we keep getting robotics bangers week in week. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

23,404 views • 2 months ago

Qualia has been selected for the Google DeepMind Robotics Program. We train embodied models that put a robot on a real manual task and make it work, on the floor, not in a demo. Foundation models and reasoning are where robotics is heading, and doing that work alongside DeepMind, who are pushing this frontier, is exactly where we want to be. If you are a company looking to see how a new generation of robots can help your manual tasks, contact us at hello@qualiastudios.dev More soon
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Qualia has been selected for the Google DeepMind Robotics Program. We train embodied models that put a robot on a real manual task and make it work, on the floor, not in a demo. Foundation models and reasoning are where robotics is heading, and doing that work alongside DeepMind, who are pushing this frontier, is exactly where we want to be. If you are a company looking to see how a new generation of robots can help your manual tasks, contact us at [email protected] More soon

Qualia

88,038 views • 4 months ago

Jeff Bezos just told you exactly how to price AI. Nobody listened. Bezos: “AI is real and it is going to change every industry. In fact it’s a very unusual technology in that regard in that it’s a horizontal enabling layer.” Horizontal enabling layer. Three words that reprice the entire technology sector. The iPhone was a vertical. One product. One new market. Electricity was a horizontal. One substrate that rewired every market on Earth. Wall Street is pricing AI like it is the next iPhone. Bezos is telling you it is the next electrical grid. Right now, thousands of companies are trying to sell AI as a product. A feature. A tool. A subscription tier. Every single one of them will be priced to zero. You do not sell a horizontal layer. You do not compete with it. You build on top of it or you disappear beneath it. For a century, entire industries survived on one thing. Complexity. The friction of navigating law, medicine, logistics, finance. That was the moat. If you could not memorize the maze, you could not compete. A horizontal layer does not navigate the maze. It dissolves the walls. Electricity did not compete with the candle industry. It erased the need for one. The most dangerous part of a horizontal shift is how quiet it is. It moves underneath the economy. The surface looks normal. Revenue still holds. Every day you operate on the old substrate, you accumulate a debt you cannot see and cannot repay. The internet repriced distribution. AI is repricing cognition itself. When intelligence becomes a utility that runs through the walls of every company on Earth, the premium on human expertise does not erode. It evaporates. This is not a disruption. Disruptions replace products. This replaces the ground you are standing on.
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Jeff Bezos just told you exactly how to price AI. Nobody listened. Bezos: “AI is real and it is going to change every industry. In fact it’s a very unusual technology in that regard in that it’s a horizontal enabling layer.” Horizontal enabling layer. Three words that reprice the entire technology sector. The iPhone was a vertical. One product. One new market. Electricity was a horizontal. One substrate that rewired every market on Earth. Wall Street is pricing AI like it is the next iPhone. Bezos is telling you it is the next electrical grid. Right now, thousands of companies are trying to sell AI as a product. A feature. A tool. A subscription tier. Every single one of them will be priced to zero. You do not sell a horizontal layer. You do not compete with it. You build on top of it or you disappear beneath it. For a century, entire industries survived on one thing. Complexity. The friction of navigating law, medicine, logistics, finance. That was the moat. If you could not memorize the maze, you could not compete. A horizontal layer does not navigate the maze. It dissolves the walls. Electricity did not compete with the candle industry. It erased the need for one. The most dangerous part of a horizontal shift is how quiet it is. It moves underneath the economy. The surface looks normal. Revenue still holds. Every day you operate on the old substrate, you accumulate a debt you cannot see and cannot repay. The internet repriced distribution. AI is repricing cognition itself. When intelligence becomes a utility that runs through the walls of every company on Earth, the premium on human expertise does not erode. It evaporates. This is not a disruption. Disruptions replace products. This replaces the ground you are standing on.

Dustin

542,327 views • 5 months ago

🚨JUST IN: PEAQ OFFERS "FINANCE APPS FOR ROBOTS" DePIN-focused blockchain peaq recently posted about 'Machine Money Markets' and the way in which they both... - Connect real robots with decentralized finance - Effectively turn them into revenue-generating financial assets Through PeaqOS ( the protocols and frameworks that allow for machine interoperability), robots and machines can carry out crucial blockchain-related tasks... ... like actively using DeFi protocols, or executing sophisticated financial strategies. But that's not all. PeaqOS further allows owners to tokenise their robots, not only making them tradable, but also allowing them to be used as collateral. Peaq also shared three clear and interesting examples of Machine Money Markets, already live in the ecosystem: (1) XMAQUINA - Structured as a DAO, XMAQUINA provides open access to some of the world's most promising early-stage robotics funding rounds. (2) Dualmint - A platform built for 'Initial Machine Offerings' where users purchase shares in machines and robots running on peaq itself. (3) Robot Money - An AI agent managed treasury, wherein machines contribute revenue which is then put to use generating additional yield.
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🚨JUST IN: PEAQ OFFERS "FINANCE APPS FOR ROBOTS" DePIN-focused blockchain peaq recently posted about 'Machine Money Markets' and the way in which they both... - Connect real robots with decentralized finance - Effectively turn them into revenue-generating financial assets Through PeaqOS ( the protocols and frameworks that allow for machine interoperability), robots and machines can carry out crucial blockchain-related tasks... ... like actively using DeFi protocols, or executing sophisticated financial strategies. But that's not all. PeaqOS further allows owners to tokenise their robots, not only making them tradable, but also allowing them to be used as collateral. Peaq also shared three clear and interesting examples of Machine Money Markets, already live in the ecosystem: (1) XMAQUINA - Structured as a DAO, XMAQUINA provides open access to some of the world's most promising early-stage robotics funding rounds. (2) Dualmint - A platform built for 'Initial Machine Offerings' where users purchase shares in machines and robots running on peaq itself. (3) Robot Money - An AI agent managed treasury, wherein machines contribute revenue which is then put to use generating additional yield.

BSCN

15,129 views • 6 months ago

AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →
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AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

54,776 views • 10 months ago

Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal
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Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal

Billions Network

21,775 views • 8 months ago

🇮🇶 Most of you have been holding IQD, VND, VES for years. Some over a decade. Right now, sanctions are stacking, choking the snake that has run through Iraqi banks for years. Every piece moving this week explains what is coming next. I only post twice a day. Every claim sourced. Every name verified. The X algorithm hides most of those posts from people without notifications on. Tap the bell on my profile and choose All. Full archive in bio.
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🇮🇶 Most of you have been holding IQD, VND, VES for years. Some over a decade. Right now, sanctions are stacking, choking the snake that has run through Iraqi banks for years. Every piece moving this week explains what is coming next. I only post twice a day. Every claim sourced. Every name verified. The X algorithm hides most of those posts from people without notifications on. Tap the bell on my profile and choose All. Full archive in bio.

Reset Intelligence

38,923 views • 5 months ago

This is absolute shame Some Congress leaders had time to tweet for NDTV to wish them on their new journey But they could not do a single post for Rahul Gandhi on Instagram and Twitter when he is actually fighting battle of the decade Can you imagine the incompetence, 67% leaders made ZERO posts about Chhatro Ki Goonj on social media Rahul Gandhi is not weak, he will never bow down even if he gets a battle to fight alone but it is disheartening to see he is surrounded with leaders who are lazy in this fight. Not necessarily that they aren't loyal to the party, but accountability must be fixed about this issue
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This is absolute shame Some Congress leaders had time to tweet for NDTV to wish them on their new journey But they could not do a single post for Rahul Gandhi on Instagram and Twitter when he is actually fighting battle of the decade Can you imagine the incompetence, 67% leaders made ZERO posts about Chhatro Ki Goonj on social media Rahul Gandhi is not weak, he will never bow down even if he gets a battle to fight alone but it is disheartening to see he is surrounded with leaders who are lazy in this fight. Not necessarily that they aren't loyal to the party, but accountability must be fixed about this issue

Amock_

192,291 views • 1 month ago

I’ve had a ton of questions regarding today’s first inning in Kansas City regarding the Philadelphia Phillies at Kansas City Royals, and why all six runs were earned despite an error. The error by Turner is a throwing error, and while a good throw would have ended the inning, this is NOT an assumed out error because of the out at second base (this is where you don’t assume a double play). So, even without this error, all six runs would have scored, so the six earned runs against Christopher Sánchez is correct. EDIT: adding this, but again, the error here is only for the extra base advancement, not for being safe at first, as the batter officially was safe on a fielder’s choice. The only way you could have an error on this is if the throw was a good one and on target, and the first baseman missed or dropped it. Outside of that, the error is just for the extra bases, not for how the batter reached. He reached on a fielder’s choice. #RingTheBell #FountainsUp
0:16

I’ve had a ton of questions regarding today’s first inning in Kansas City regarding the Philadelphia Phillies at Kansas City Royals, and why all six runs were earned despite an error. The error by Turner is a throwing error, and while a good throw would have ended the inning, this is NOT an assumed out error because of the out at second base (this is where you don’t assume a double play). So, even without this error, all six runs would have scored, so the six earned runs against Christopher Sánchez is correct. EDIT: adding this, but again, the error here is only for the extra base advancement, not for being safe at first, as the batter officially was safe on a fielder’s choice. The only way you could have an error on this is if the throw was a good one and on target, and the first baseman missed or dropped it. Outside of that, the error is just for the extra bases, not for how the batter reached. He reached on a fielder’s choice. #RingTheBell #FountainsUp

MLB Scoring Changes

64,678 views • 3 months ago

NONE OF THIS WITHOUT ELON MUSK AND 𝕏. Nick Shirley at All-In Summit: "If it wasn't for Elon and X, none of this would have been possible. For instance, I post that video about the fraud on YouTube. It does well. It gets a few million views. On X, it got 140 million views, and the most important people in the world see it, and they're able to see, like, oh, we're not doing our job. Let's go do what needs to be done."
0:19

NONE OF THIS WITHOUT ELON MUSK AND 𝕏. Nick Shirley at All-In Summit: "If it wasn't for Elon and X, none of this would have been possible. For instance, I post that video about the fraud on YouTube. It does well. It gets a few million views. On X, it got 140 million views, and the most important people in the world see it, and they're able to see, like, oh, we're not doing our job. Let's go do what needs to be done."

Tesla Owners Silicon Valley

394,451 views • 21 days ago