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The Robots Will Need Internet Connectivity Too New High Signal Podcast with Sam Lewis & Nils from Follow @Auki Produced by: Proof of Coverage Media Topics Discussed: - Expanding Helium’s TAM to robots too - Why robots won’t use GPS - DePIN as AI’s “nervous system”

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Helium🎈

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15,161 Aufrufe • vor 10 Monaten •via X (Twitter)

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Helium🎈

186,061 Aufrufe • vor 1 Jahr

We have to face it. Robots will ultimately have a face. But why? The human face transmits information in a far more rapid manner than any other system. Working face to face with robots are going to require this signal. This is the face from AheafFrom robotics. For robotics companies that do not have human faces, I say best to start now or encourage an after market hobby garage builder face market. This is the way of it.
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We have to face it. Robots will ultimately have a face. But why? The human face transmits information in a far more rapid manner than any other system. Working face to face with robots are going to require this signal. This is the face from AheafFrom robotics. For robotics companies that do not have human faces, I say best to start now or encourage an after market hobby garage builder face market. This is the way of it.

Brian Roemmele

27,755 Aufrufe • vor 10 Monaten

🚨 BREAKING: German robot maker NEURA Robotics has raised €120 million in Series B funding to advance its cognitive robotics technology. Good to see the Europe robotics market moving! 🇪🇺 And yes I know this is news from mid-January, sometimes you have to be like Internet Explorer! Their product lineup includes collaborative arms, autonomous mobile robots, and humanoids. The funding will support new product development and the growth of its Neuraverse ecosystem, an operating system and marketplace for robotic skills. David Reger believes cognitive robots could become bigger than smartphones, with NEURA leading the way as Germany’s only humanoid robotics company. You can meet this and many other robots at the internationalhumanoidforum in Biel on the 20th & 21st of February! 🇨🇭 I also will be there, and I am happy to talk about the future of robotics!
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🚨 BREAKING: German robot maker NEURA Robotics has raised €120 million in Series B funding to advance its cognitive robotics technology. Good to see the Europe robotics market moving! 🇪🇺 And yes I know this is news from mid-January, sometimes you have to be like Internet Explorer! Their product lineup includes collaborative arms, autonomous mobile robots, and humanoids. The funding will support new product development and the growth of its Neuraverse ecosystem, an operating system and marketplace for robotic skills. David Reger believes cognitive robots could become bigger than smartphones, with NEURA leading the way as Germany’s only humanoid robotics company. You can meet this and many other robots at the internationalhumanoidforum in Biel on the 20th & 21st of February! 🇨🇭 I also will be there, and I am happy to talk about the future of robotics!

Lukas Ziegler

46,521 Aufrufe • vor 1 Jahr

500 humanoid robots replacing humans in high-voltage operations What does that look like? Steel against steel,instead of flesh and blood. This marks a turning point for China’s State Grid, shifting from human-based maintenance to autonomous operations. This year, State Grid announced plans to procure 8,500 embodied AI robots, with a total budget of RMB 6.8 billion (~$1 billion). These robots will be deployed across four major scenarios: power inspection, live-line operations, emergency response, and warehouse logistics,covering more than 600 specific task scenarios. Among them, humanoid robots for live-line operations are the most expensive and strategically critical: 500 units with a budget of RMB 2.5 billion (~$370 million). They will be deployed in distribution network live-line work and ultra-high-voltage (UHV) projects, replacing humans in high-risk tasks. Workers will transition into supervisory roles, ready to take over remotely when needed. As early as last year, State Grid had already validated the feasibility of humanoid robots for substation inspection. Tienkung can autonomously perform inspection tasks at a State Grid substation in Beijing. Of course, suppliers are not limited to X-Humanoid,players like Unitree, AGIBOT, DeepRobotics, UBTECH, and Fourier are all involved. These 500 humanoid robots will also collaborate with 5,000 inspection quadruped robots and 3,000 dual-arm wheeled robots for indoor substation maintenance,together forming an intelligent, automated, and collaborative network for autonomous grid operations. What does this change? According to State Grid, each embodied AI unit can save RMB 500,000 to 800,000 (~$70,000–$110,000) in annual labor costs, with a payback period of around 2–3 years. Inspection efficiency increases by 5x, fault response time is reduced by 60%, and power supply reliability improves by 0.5 percentage points. More importantly, over 90% of human exposure to high-risk operations can be eliminated, reducing safety incidents by 80%. At another level, for humanoid robot companies, the center of R&D and iteration is shifting to the customer site. Real-world physical interaction becomes the fastest feedback loop,accelerating innovation and evolution. And 8,500 units are just the beginning of scaled deployment. Based on current plans, embodied AI robots will cover 30% of key areas in State Grid by 2026, 80% of high-risk operation scenarios by 2027, and enable fully autonomous operations by 2030. The demand roadmap is clear: define use cases ->deploy at scale->improve models and robots->expand further. 8,500… 50,000… 100,000… But remember,power grids are just one part of China’s vast infrastructure system. The experience of autonomous robotic operations here can be replicated across other sectors, such as broader energy systems. That, in itself, is another story. P.S.The video shows Tienkung 1.0 autonomously performing substation inspection tasks (2025).
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500 humanoid robots replacing humans in high-voltage operations What does that look like? Steel against steel,instead of flesh and blood. This marks a turning point for China’s State Grid, shifting from human-based maintenance to autonomous operations. This year, State Grid announced plans to procure 8,500 embodied AI robots, with a total budget of RMB 6.8 billion (~$1 billion). These robots will be deployed across four major scenarios: power inspection, live-line operations, emergency response, and warehouse logistics,covering more than 600 specific task scenarios. Among them, humanoid robots for live-line operations are the most expensive and strategically critical: 500 units with a budget of RMB 2.5 billion (~$370 million). They will be deployed in distribution network live-line work and ultra-high-voltage (UHV) projects, replacing humans in high-risk tasks. Workers will transition into supervisory roles, ready to take over remotely when needed. As early as last year, State Grid had already validated the feasibility of humanoid robots for substation inspection. Tienkung can autonomously perform inspection tasks at a State Grid substation in Beijing. Of course, suppliers are not limited to X-Humanoid,players like Unitree, AGIBOT, DeepRobotics, UBTECH, and Fourier are all involved. These 500 humanoid robots will also collaborate with 5,000 inspection quadruped robots and 3,000 dual-arm wheeled robots for indoor substation maintenance,together forming an intelligent, automated, and collaborative network for autonomous grid operations. What does this change? According to State Grid, each embodied AI unit can save RMB 500,000 to 800,000 (~$70,000–$110,000) in annual labor costs, with a payback period of around 2–3 years. Inspection efficiency increases by 5x, fault response time is reduced by 60%, and power supply reliability improves by 0.5 percentage points. More importantly, over 90% of human exposure to high-risk operations can be eliminated, reducing safety incidents by 80%. At another level, for humanoid robot companies, the center of R&D and iteration is shifting to the customer site. Real-world physical interaction becomes the fastest feedback loop,accelerating innovation and evolution. And 8,500 units are just the beginning of scaled deployment. Based on current plans, embodied AI robots will cover 30% of key areas in State Grid by 2026, 80% of high-risk operation scenarios by 2027, and enable fully autonomous operations by 2030. The demand roadmap is clear: define use cases ->deploy at scale->improve models and robots->expand further. 8,500… 50,000… 100,000… But remember,power grids are just one part of China’s vast infrastructure system. The experience of autonomous robotic operations here can be replicated across other sectors, such as broader energy systems. That, in itself, is another story. P.S.The video shows Tienkung 1.0 autonomously performing substation inspection tasks (2025).

CyberRobo

46,782 Aufrufe • vor 5 Monaten

One of the biggest surprises in AI over the last few years has been how well coding agents generalize beyond software. In a recent essay, MIT professor Philip Isola argued that we may be entering the era of robot-use agents: general-purpose models that can control different robots, write policies, and learn new physical tasks with little or no robot-specific training. In this episode of Decoded, we're joined by the founders of Waddle Labs and Robocurve PBC, two of the startups whose work helped drive this realization. They're working at the frontier of using general-purpose models to control robots, and their recent demos helped inspire the growing conversation around robot-use agents. Together, we dig into the research behind that idea, from code-as-policies and vision-language-action models to the harnesses and evals needed to make these systems work in the real world. 00:00 — What Are Robot-Use Agents? 02:11 — From Vision-Language-Action Models to General LLMs 04:07 — The Bitter Lesson for Robotics 07:04 — How Coding Agents Learned to Control Robots 10:41 — How Robots Learn From Experience 14:22 — The Harness as a Form of Robot Intelligence 16:14 — Watching Astra Control a Robot 20:55 — Why General Models May Win in Robotics 26:05 — How Close Are General-Purpose Robots?
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Y Combinator

84,120 Aufrufe • vor 4 Tagen

Elon just dropped a MAJOR nugget on how Tesla is going to be training Optimus to do real world tasks. They are building an Optimus Academy, which is a large scale, dedicated real-world training facility to accelerate the development of Optimus. The Academy will deploy thousands of Optimus units, potentially 10,000 to 30,000 robots, in a controlled realistic environment where they perform self-play, experiment with tasks, iterate on behaviors, and continuously generate training data through trial and error. The Tesla bots will also run millions of simulations in Tesla’s high-fidelity physics-accurate engine, allowing Optimus to close the “sim-to-real gap” by using these real-world observations to refine and validate the simulations! “You’re actually highlighting an important limitation and difference from cars. We’ll soon have 10 million cars on the road. It’s hard to duplicate that massive training flywheel. For the robot, what we’re going to need to do is build a lot of robots and put them in kind of an Optimus Academy so they can do self-play in reality. We’re actually building that out. We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator, a physics-accurate reality generator, that we made for the cars. We’ll do the same thing for the robots. We actually have done that for the robots. So you have a few tens of thousands of humanoid robots doing different tasks. You can do millions of simulated robots in the simulated world. You use the tens of thousands of robots in the real world to close the simulation to reality gap. Close the sim-to-real gap.”
1:20

Elon just dropped a MAJOR nugget on how Tesla is going to be training Optimus to do real world tasks. They are building an Optimus Academy, which is a large scale, dedicated real-world training facility to accelerate the development of Optimus. The Academy will deploy thousands of Optimus units, potentially 10,000 to 30,000 robots, in a controlled realistic environment where they perform self-play, experiment with tasks, iterate on behaviors, and continuously generate training data through trial and error. The Tesla bots will also run millions of simulations in Tesla’s high-fidelity physics-accurate engine, allowing Optimus to close the “sim-to-real gap” by using these real-world observations to refine and validate the simulations! “You’re actually highlighting an important limitation and difference from cars. We’ll soon have 10 million cars on the road. It’s hard to duplicate that massive training flywheel. For the robot, what we’re going to need to do is build a lot of robots and put them in kind of an Optimus Academy so they can do self-play in reality. We’re actually building that out. We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator, a physics-accurate reality generator, that we made for the cars. We’ll do the same thing for the robots. We actually have done that for the robots. So you have a few tens of thousands of humanoid robots doing different tasks. You can do millions of simulated robots in the simulated world. You use the tens of thousands of robots in the real world to close the simulation to reality gap. Close the sim-to-real gap.”

Teslaconomics

42,563 Aufrufe • vor 7 Monaten

I sat down with Brett Adcock, CEO and Founder of Figure AI, to discuss the future of humanoid robots. In less than three years since its inception, Figure has built versions 01 and 02 of their humanoids, developed a foundation model called Helix AI to reason like humans, shipped robots into the factories of their commercial customers, and is now valued at $39.5 billion according to their latest funding round. Brett is a founder who wants to win. In the podcast, we dive deeper into where that drive comes from, how he envisions the future of humanity if billions of robots walk the planet, and why he believes this is the single biggest opportunity of our lifetime. It was a privilege to visit the HQ and have the chance to speak with him. Occasionally during the podcast, you’ll see a Figure 02 walking autonomously behind us! It truly was a one-of-a-kind experience to be so close to the robots that will eventually be part of our everyday lives. Thank you Brett Adcock for taking the time & I'm so excited to follow your journey as you build one of the most important companies of our time. LFG. Timestamps below: 00:00 - Who Is Brett? 01:51 - The First Startup 05:46 - SaaS to DeepTech 07:21 - Why Robots? 13:50 - The Business of Humanoids 19:06 - The Role of Nvidia in Robots 20:31 - Training Models for Bots 20:21 - OpenAI Collaboration 29:26 - Is There A Chip on Brett's Shoulder? 31:15 - Culture at Figure 40:35 - Tesla's Humanoid Ambitions 50:45 - Rapid Fire
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I sat down with Brett Adcock, CEO and Founder of Figure AI, to discuss the future of humanoid robots. In less than three years since its inception, Figure has built versions 01 and 02 of their humanoids, developed a foundation model called Helix AI to reason like humans, shipped robots into the factories of their commercial customers, and is now valued at $39.5 billion according to their latest funding round. Brett is a founder who wants to win. In the podcast, we dive deeper into where that drive comes from, how he envisions the future of humanity if billions of robots walk the planet, and why he believes this is the single biggest opportunity of our lifetime. It was a privilege to visit the HQ and have the chance to speak with him. Occasionally during the podcast, you’ll see a Figure 02 walking autonomously behind us! It truly was a one-of-a-kind experience to be so close to the robots that will eventually be part of our everyday lives. Thank you Brett Adcock for taking the time & I'm so excited to follow your journey as you build one of the most important companies of our time. LFG. Timestamps below: 00:00 - Who Is Brett? 01:51 - The First Startup 05:46 - SaaS to DeepTech 07:21 - Why Robots? 13:50 - The Business of Humanoids 19:06 - The Role of Nvidia in Robots 20:31 - Training Models for Bots 20:21 - OpenAI Collaboration 29:26 - Is There A Chip on Brett's Shoulder? 31:15 - Culture at Figure 40:35 - Tesla's Humanoid Ambitions 50:45 - Rapid Fire

amit

676,812 Aufrufe • vor 1 Jahr

The world today is built for humans, & cities built for cars... The world tomorrow will be built around the evolution of robotics. It was a pleasure hosting this week's Robotics episode of the Super Cycle Pod with Michael Cho - Rbt/Acc (BitRobot 🦾) & Nils of (Auki) have packed this full of insanely valuable insights: 0:00 - Intro + wen terminator? 5:13 - Robotics vs "GPT moment" 7:08 - Privacy in the world of robotics 11:40 - Web3 robotics + intro to frodobots / bitrobot 14:50 - Impact of $HNT on Michael and Nils 17:06 - Intro to $AUKI 19:26 - Why does dePIN as an investable asset suck? 25:36 - $AUKI community building philosophy 28:30 - Bitrobot mission w/ PhD researchers 31:40 - Bitrobot subnet structure 35:28 - Bitrobot value accrual + Impact 39:40 - $AUKI and proving people wrong 42:20 - Robotics is the biggest industry in the world 50:16 - Dangers of physical AI 55:25 - Human Philosophy in Physical AI 57:05 - How cities will change w/ robots 1:03:20 - Skills of the future 1:06:32 - Responsibility as innovators in robotics Where do you think we are in the robotics cycle? My DMs are open to teams wanting to chat about what they're building.
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The world today is built for humans, & cities built for cars... The world tomorrow will be built around the evolution of robotics. It was a pleasure hosting this week's Robotics episode of the Super Cycle Pod with Michael Cho - Rbt/Acc (BitRobot 🦾) & Nils of (Auki) have packed this full of insanely valuable insights: 0:00 - Intro + wen terminator? 5:13 - Robotics vs "GPT moment" 7:08 - Privacy in the world of robotics 11:40 - Web3 robotics + intro to frodobots / bitrobot 14:50 - Impact of $HNT on Michael and Nils 17:06 - Intro to $AUKI 19:26 - Why does dePIN as an investable asset suck? 25:36 - $AUKI community building philosophy 28:30 - Bitrobot mission w/ PhD researchers 31:40 - Bitrobot subnet structure 35:28 - Bitrobot value accrual + Impact 39:40 - $AUKI and proving people wrong 42:20 - Robotics is the biggest industry in the world 50:16 - Dangers of physical AI 55:25 - Human Philosophy in Physical AI 57:05 - How cities will change w/ robots 1:03:20 - Skills of the future 1:06:32 - Responsibility as innovators in robotics Where do you think we are in the robotics cycle? My DMs are open to teams wanting to chat about what they're building.

0xSammy

60,544 Aufrufe • vor 10 Monaten

🎙️Nils Pihl - DePIN and the Future of Machine Perception | EP 13 | Pathfinders Podcast ✨ Summary In this conversation, Nils Pihl, CEO of Auki, shares his journey from Sweden to China and discusses the rapid advancements in robotics and augmented reality. He emphasizes the significance of China's development, particularly in Shenzhen, as a hub for innovation. Nils explores the future of autonomous vehicles, the need for decentralized networks, and the importance of making AI accessible to the physical world. He also highlights the DePIN movement as a transformative approach to infrastructure and economic collaboration. In this conversation, Nils Pihl and Vijayan Swaminathan explore the complexities of decision-making in society, the evolution of human cognition, and the impact of technology on our future. They discuss the balance between progress and fairness, the role of philosophy in shaping deep thinking, and the implications of capitalism and socialism in the age of AI. The conversation also delves into the transformative potential of augmented reality and the challenges of visual positioning technology. In this conversation, Nils Pihl discusses the intricacies of the Auki network and the Posemesh protocol, emphasizing the importance of regulations in AR and robotics. He explores the implications of decentralization on privacy, the philosophy behind Auki’s branding, and the potential of AR as a medium for telepathic-like communication. Pihl critiques the current state of robotics and the DeFi movement, while also sharing insights from his entrepreneurial journey, including the significance of authenticity and memetic output in building connections. Sound Bites "China is leading robotics in a very serious way." "If you want to see the future, you can't ignore China." "AI can only deal with digital information." "The world needs to become AI accessible." "What do we want? What is the kind of library we want?" "The invention of writing was a huge change to humanity." "Democracies are not good at voting for discomfort today." "Augmented reality presents the next big paradigm shift." "You have to build a better product. That's it." "What is the Aukey network?" "We need to regulate robotics and AR." "Decentralization reduces privacy impact." "Share your vision is our motto." "AR is the closest thing to telepathy." "SpaceX is a human triumph." "We need to attract human talent." "Most crypto projects are shitcoins." "Work-life balance is a myth for startups." "Spread good memes." Shoutouts: @mrseanvvv vVv peaq Follow our guest Nils Pihl Nils X : LinkedIn: Follow Auki Follow @Auki Auki Labs Website: X : LinkedIn: LinkTree : Pathfinders Podcast, presented by: XaddWell Follow our host Vijayan Swaminathan on: LinkedIn: X : LinkTree: Follow XaddWell XaddWell on: LinkedIn: Website: Follow Pathfinders on: LinkedIn: Created by: Nova Media LinkedIn: Thank You! #DePIN
1:46:39

🎙️Nils Pihl - DePIN and the Future of Machine Perception | EP 13 | Pathfinders Podcast ✨ Summary In this conversation, Nils Pihl, CEO of Auki, shares his journey from Sweden to China and discusses the rapid advancements in robotics and augmented reality. He emphasizes the significance of China's development, particularly in Shenzhen, as a hub for innovation. Nils explores the future of autonomous vehicles, the need for decentralized networks, and the importance of making AI accessible to the physical world. He also highlights the DePIN movement as a transformative approach to infrastructure and economic collaboration. In this conversation, Nils Pihl and Vijayan Swaminathan explore the complexities of decision-making in society, the evolution of human cognition, and the impact of technology on our future. They discuss the balance between progress and fairness, the role of philosophy in shaping deep thinking, and the implications of capitalism and socialism in the age of AI. The conversation also delves into the transformative potential of augmented reality and the challenges of visual positioning technology. In this conversation, Nils Pihl discusses the intricacies of the Auki network and the Posemesh protocol, emphasizing the importance of regulations in AR and robotics. He explores the implications of decentralization on privacy, the philosophy behind Auki’s branding, and the potential of AR as a medium for telepathic-like communication. Pihl critiques the current state of robotics and the DeFi movement, while also sharing insights from his entrepreneurial journey, including the significance of authenticity and memetic output in building connections. Sound Bites "China is leading robotics in a very serious way." "If you want to see the future, you can't ignore China." "AI can only deal with digital information." "The world needs to become AI accessible." "What do we want? What is the kind of library we want?" "The invention of writing was a huge change to humanity." "Democracies are not good at voting for discomfort today." "Augmented reality presents the next big paradigm shift." "You have to build a better product. That's it." "What is the Aukey network?" "We need to regulate robotics and AR." "Decentralization reduces privacy impact." "Share your vision is our motto." "AR is the closest thing to telepathy." "SpaceX is a human triumph." "We need to attract human talent." "Most crypto projects are shitcoins." "Work-life balance is a myth for startups." "Spread good memes." Shoutouts: @mrseanvvv vVv peaq Follow our guest Nils Pihl Nils X : LinkedIn: Follow Auki Follow @Auki Auki Labs Website: X : LinkedIn: LinkTree : Pathfinders Podcast, presented by: XaddWell Follow our host Vijayan Swaminathan on: LinkedIn: X : LinkTree: Follow XaddWell XaddWell on: LinkedIn: Website: Follow Pathfinders on: LinkedIn: Created by: Nova Media LinkedIn: Thank You! #DePIN

Vijayan Swaminathan

25,293 Aufrufe • vor 1 Jahr

BREAKING: SpaceX CFO says AI will create unprecedented demand for Starlink. “Whether it’s humanoid robots, autonomous vehicles, or connection points everywhere, there’s going to be a lot more data. You’re going to need that connectivity. It’s going to need to always be on. Delivering that from space in a very high-bandwidth way is going to be incredibly compelling. “Starship is going to enable our next generation of direct-to-cell and direct-to-device, while giving us the capability to put a whole constellation of satellites up for orbital compute. All of that is driven by Starship, which is why it’s such a catalyst for our company.”
1:17

BREAKING: SpaceX CFO says AI will create unprecedented demand for Starlink. “Whether it’s humanoid robots, autonomous vehicles, or connection points everywhere, there’s going to be a lot more data. You’re going to need that connectivity. It’s going to need to always be on. Delivering that from space in a very high-bandwidth way is going to be incredibly compelling. “Starship is going to enable our next generation of direct-to-cell and direct-to-device, while giving us the capability to put a whole constellation of satellites up for orbital compute. All of that is driven by Starship, which is why it’s such a catalyst for our company.”

DogeDesigner

98,065 Aufrufe • vor 12 Tagen

I used to think the economic singularity hits in 2032. I think that's too far away now. By 2030, the entire economic system will have changed. GDP used to run on two things: population growth and productivity. But we're about to go from a restricted population of 9 billion people to an infinite population of economic actors. We're going to put AGI brains into humanoid robots that are more dextrous, faster, stronger AND fitter than us with smarter brains. That to me is an entirely new species. And they're coming into the workforce very soon.
1:25

I used to think the economic singularity hits in 2032. I think that's too far away now. By 2030, the entire economic system will have changed. GDP used to run on two things: population growth and productivity. But we're about to go from a restricted population of 9 billion people to an infinite population of economic actors. We're going to put AGI brains into humanoid robots that are more dextrous, faster, stronger AND fitter than us with smarter brains. That to me is an entirely new species. And they're coming into the workforce very soon.

Raoul Pal

129,860 Aufrufe • vor 1 Monat

Sam Altman Sam Altman joins Cosmo Jiang to discuss why proof of human is necessary in the age of AI. Mason Nystrom also joins to share why Pantera invested in World. In this episode, they cover: - AI is advancing faster than Sam expected. The need for proof of human has never been stronger. - Agents need to move money. Agentic payments are one of Sam's most personally exciting use cases. - Proof of human as a substrate: driver's licenses, education, and employment credentials all appended to a verified human identity. - Targeted advertising is the first massive use case as AI agents flood the internet. - Advertisers will pay a premium for verified human impressions. - World has 18 million verified humans today with 4 billion smartphone users as the addressable market. 01:27 Sam Altman's Keynote at World’s Lift-Off Event 02:12 Why World Was Built 03:48 Blockchain x AI 04:08 World ID Use Cases 04:47 World's Founding Vision 05:10 World ID Trajectory 05:50 Why Pantera Invested in World 06:45 Sam Altman Saw This Coming 07:10 Proof of Human at Scale 10:12 The Value of Digital Identity 11:11 Agents Need a Human in the Loop 11:42 Scaling to Billions of Users 12:53 Enterprise Partnerships
13:17

Sam Altman Sam Altman joins Cosmo Jiang to discuss why proof of human is necessary in the age of AI. Mason Nystrom also joins to share why Pantera invested in World. In this episode, they cover: - AI is advancing faster than Sam expected. The need for proof of human has never been stronger. - Agents need to move money. Agentic payments are one of Sam's most personally exciting use cases. - Proof of human as a substrate: driver's licenses, education, and employment credentials all appended to a verified human identity. - Targeted advertising is the first massive use case as AI agents flood the internet. - Advertisers will pay a premium for verified human impressions. - World has 18 million verified humans today with 4 billion smartphone users as the addressable market. 01:27 Sam Altman's Keynote at World’s Lift-Off Event 02:12 Why World Was Built 03:48 Blockchain x AI 04:08 World ID Use Cases 04:47 World's Founding Vision 05:10 World ID Trajectory 05:50 Why Pantera Invested in World 06:45 Sam Altman Saw This Coming 07:10 Proof of Human at Scale 10:12 The Value of Digital Identity 11:11 Agents Need a Human in the Loop 11:42 Scaling to Billions of Users 12:53 Enterprise Partnerships

Pantera Capital

255,666 Aufrufe • vor 5 Monaten

China is living in the future and most people don't realize it. It's seen progress in the last few years that puts many western countries to shame. Transport: – Literally flying cars, Xpeng AeroHT – Hong Kong to Shenzhen in <15min by high speed rail – Autonomous vehicles with far more coverage than Waymo / Tesla – Drones deliver food to stations (Meituan) – Robots that pick up delivered food and take it to your door – 10 large EV manufacturers that make cheaper cars with higher range and more luxury, which come with lidar / L3 autonomous driving (BYD, Aito, Zeekr, Great Wall, etc) – Battery swapping infrastructure (Nio) – Huawei has its own OS – Owns large chunks of global supply chain for electronics Lifestyle: – Effectively zero crime because of mass camera and security surveillance. No theft, no litter. (yes, I know this is a major talking point of western media) – Functional public transport networks, with different cabins for different temperature – Affordable housing; even lower income teachers can live comfortably in big cities – Firefighting drones – Almost no homeless people or trash – Electric buses and scooters; quieter cities – Rolling police robots with disarming weapons Technology – Cheap humanoid robots – Elaborate drone shows in the sky – Self driving trucks – Robot cappuccino makers – Dark factories primarily run by robots Yes, like any country, there are plenty of issues too. But the rate of progress, supported by the govt and unburdened by regulation, is unparalleled. Everyone should spend more time learning a bit more by China, free from any pre-existing bias.
0:26

China is living in the future and most people don't realize it. It's seen progress in the last few years that puts many western countries to shame. Transport: – Literally flying cars, Xpeng AeroHT – Hong Kong to Shenzhen in <15min by high speed rail – Autonomous vehicles with far more coverage than Waymo / Tesla – Drones deliver food to stations (Meituan) – Robots that pick up delivered food and take it to your door – 10 large EV manufacturers that make cheaper cars with higher range and more luxury, which come with lidar / L3 autonomous driving (BYD, Aito, Zeekr, Great Wall, etc) – Battery swapping infrastructure (Nio) – Huawei has its own OS – Owns large chunks of global supply chain for electronics Lifestyle: – Effectively zero crime because of mass camera and security surveillance. No theft, no litter. (yes, I know this is a major talking point of western media) – Functional public transport networks, with different cabins for different temperature – Affordable housing; even lower income teachers can live comfortably in big cities – Firefighting drones – Almost no homeless people or trash – Electric buses and scooters; quieter cities – Rolling police robots with disarming weapons Technology – Cheap humanoid robots – Elaborate drone shows in the sky – Self driving trucks – Robot cappuccino makers – Dark factories primarily run by robots Yes, like any country, there are plenty of issues too. But the rate of progress, supported by the govt and unburdened by regulation, is unparalleled. Everyone should spend more time learning a bit more by China, free from any pre-existing bias.

Deedy

68,944 Aufrufe • vor 1 Jahr

The BeyHive takes things way too literal. “Beyoncé hates AI.” Do y’all realize AI is in everything? That automated reply from her site and CÉCRED’? Payment processing? That’s AI too. She doesn’t hate AI. She hates a specific type of AI, y’all just grouped them into one. It’s 2025. Hating AI without understanding it isn’t just ironic, it’s costly. Opportunities, jobs, side hustles, content, business tools, they’re all being shaped by AI. If you’re still treating AI like it’s just ChatGPT or robots, you’re playing yourself out of relevance… and income. It’s like hating the internet in 2010. AI won’t replace jobs, it will replace those who don’t know how to use it.
0:35

The BeyHive takes things way too literal. “Beyoncé hates AI.” Do y’all realize AI is in everything? That automated reply from her site and CÉCRED’? Payment processing? That’s AI too. She doesn’t hate AI. She hates a specific type of AI, y’all just grouped them into one. It’s 2025. Hating AI without understanding it isn’t just ironic, it’s costly. Opportunities, jobs, side hustles, content, business tools, they’re all being shaped by AI. If you’re still treating AI like it’s just ChatGPT or robots, you’re playing yourself out of relevance… and income. It’s like hating the internet in 2010. AI won’t replace jobs, it will replace those who don’t know how to use it.

IChooseViolence

419,696 Aufrufe • vor 1 Jahr

Meet Zippy, the Robotic Chef: - Used in kitchens by Michelin-star chefs - Trained on over 5 million recipes - Learns new recipes from a single demonstration - Easy to integrate into commercial kitchens Zippy’s system uses multi-modal perception and heat transfer modeling to adapt to ingredient and appliance variations, similar to how an expert chef would. It operates with a mix of autonomy and remote control to handle new scenarios and improve over time. Video source: CloudChef / Zippy #robotics #technology #engineering #stem #innovation #robots #automation ————————————— Stay ahead of the curve in engineering! Follow the topics that inspire you on Wevolver and get a custom weekly digest packed with cutting-edge content! Follow now:
0:20

Meet Zippy, the Robotic Chef: - Used in kitchens by Michelin-star chefs - Trained on over 5 million recipes - Learns new recipes from a single demonstration - Easy to integrate into commercial kitchens Zippy’s system uses multi-modal perception and heat transfer modeling to adapt to ingredient and appliance variations, similar to how an expert chef would. It operates with a mix of autonomy and remote control to handle new scenarios and improve over time. Video source: CloudChef / Zippy #robotics #technology #engineering #stem #innovation #robots #automation ————————————— Stay ahead of the curve in engineering! Follow the topics that inspire you on Wevolver and get a custom weekly digest packed with cutting-edge content! Follow now:

Wevolver

25,869 Aufrufe • vor 1 Jahr

The "prompt-to-production" flow is already a reality. I hope that in the foreseeable future, we will be able to "prompt-to-real estate" as well, with robots building a complete building from the ground up. For now, it is still too futuristic, but Drafted has already automated the "prompt-to-home-design" step. > Drafted AI has a tool that lets you generate your dream house for FREE and export its detailed rendering. > Users can remix existing designs from the explore section or start from scratch. All the details can be customized. I need a new house now 👀
0:39

The "prompt-to-production" flow is already a reality. I hope that in the foreseeable future, we will be able to "prompt-to-real estate" as well, with robots building a complete building from the ground up. For now, it is still too futuristic, but Drafted has already automated the "prompt-to-home-design" step. > Drafted AI has a tool that lets you generate your dream house for FREE and export its detailed rendering. > Users can remix existing designs from the explore section or start from scratch. All the details can be customized. I need a new house now 👀

🚨 AI News | TestingCatalog

24,348 Aufrufe • vor 4 Monaten