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Elon Musk on how AGI might actually emerge: “We’re not actually specifically focused on AGI. I’m simply saying that AGI seems likely to be an emergent property of what we’re doing” The reason is the massive real-world data Tesla is generating from autonomous cars and humanoid robots This is...

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21,256 görüntüleme • 3 ay önce •via X (Twitter)

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ELON: AGI IS LIKELY TO EMERGE FROM OUR AUTONOMOUS CARS AND HUMANOIDS “We're not actually specifically focused on AGI. I'm simply saying that AGI seems likely to be an emergent property of what we're doing, because we're creating all these autonomous cars and autonomous humanoids that are actually a truly gigantic data stream that's coming in and being processed. It's by far the most amount of real-world data, and data you can't get by just searching the Internet, because you have to be out there in the world and interacting with people and interacting with the roads. Earth is a big place, and reality is messy and complicated. If you've got tens or hundreds of millions of autonomous vehicles and maybe even a comparable number of humanoids, maybe more than that, on the humanoid front, well, that's just the most amount of data. And if that video is being processed, it just seems likely that the cars will definitely get way better than human drivers, and the humanoid robots will become increasingly indistinguishable from humans, perhaps. And so then, like you said, you have this emergent property of AGI.” Source: Tesla AI Day, September 2022
1:16

ELON: AGI IS LIKELY TO EMERGE FROM OUR AUTONOMOUS CARS AND HUMANOIDS “We're not actually specifically focused on AGI. I'm simply saying that AGI seems likely to be an emergent property of what we're doing, because we're creating all these autonomous cars and autonomous humanoids that are actually a truly gigantic data stream that's coming in and being processed. It's by far the most amount of real-world data, and data you can't get by just searching the Internet, because you have to be out there in the world and interacting with people and interacting with the roads. Earth is a big place, and reality is messy and complicated. If you've got tens or hundreds of millions of autonomous vehicles and maybe even a comparable number of humanoids, maybe more than that, on the humanoid front, well, that's just the most amount of data. And if that video is being processed, it just seems likely that the cars will definitely get way better than human drivers, and the humanoid robots will become increasingly indistinguishable from humans, perhaps. And so then, like you said, you have this emergent property of AGI.” Source: Tesla AI Day, September 2022

Mario Nawfal

2,628,293 görüntüleme • 1 yıl önce

Without World Models, There Is No AGI. Google Just Proved It. If AGI ever happens, it will not come from bigger chatbots alone. From the very start of this interview, one thing is crystal clear: without world models, we will never reach AGI. And right now, Google is leading with its world simulator Genie 3. Here is the core of what Demis Hassabis explains in this conversation: • World models are the missing core of AGI Hassabis says his deepest long term focus has always been world models and simulations. Not just language. Not just prediction. Actual internal simulations of reality. • LLMs are impressive, but incomplete Language models understand more about the world than expected because human language encodes a lot of reality. Still, language is only a shadow of the real thing. • What text can never fully teach Reality includes things text struggles to express: •3D space and spatial dynamics •Physical causality and mechanics •Sensorimotor experience like movement, force, smell, or balance • Experience beats description To close the gap, AI must learn from interaction and experience, not just static text. That is how you build an internal world simulator. • Why Genie 3 matters With Google DeepMind pushing systems like Genie 3, AI starts to model reality itself, not just talk about it. • Robots and real world assistants depend on this True robotics, smart glasses, and universal assistants require AI that understands the physical world you live in, not just your screen. Bottom line: AGI will not emerge from better text prediction. It will emerge from systems that can simulate, predict, and understand reality itself. Right now, Google is clearly ahead on that path. Curious what you think. Are world models the real AGI unlock, or just another stepping stone?
1:26

Without World Models, There Is No AGI. Google Just Proved It. If AGI ever happens, it will not come from bigger chatbots alone. From the very start of this interview, one thing is crystal clear: without world models, we will never reach AGI. And right now, Google is leading with its world simulator Genie 3. Here is the core of what Demis Hassabis explains in this conversation: • World models are the missing core of AGI Hassabis says his deepest long term focus has always been world models and simulations. Not just language. Not just prediction. Actual internal simulations of reality. • LLMs are impressive, but incomplete Language models understand more about the world than expected because human language encodes a lot of reality. Still, language is only a shadow of the real thing. • What text can never fully teach Reality includes things text struggles to express: •3D space and spatial dynamics •Physical causality and mechanics •Sensorimotor experience like movement, force, smell, or balance • Experience beats description To close the gap, AI must learn from interaction and experience, not just static text. That is how you build an internal world simulator. • Why Genie 3 matters With Google DeepMind pushing systems like Genie 3, AI starts to model reality itself, not just talk about it. • Robots and real world assistants depend on this True robotics, smart glasses, and universal assistants require AI that understands the physical world you live in, not just your screen. Bottom line: AGI will not emerge from better text prediction. It will emerge from systems that can simulate, predict, and understand reality itself. Right now, Google is clearly ahead on that path. Curious what you think. Are world models the real AGI unlock, or just another stepping stone?

VraserX e/acc

23,784 görüntüleme • 9 ay önce

Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.
0:41

Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.

CyberRobo

19,907 görüntüleme • 8 ay önce

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 görüntüleme • 7 ay önce

.Elon Musk told me he plans to build “Optimus Academy” to train an army of humanoid robots. > “millions of simulated robots in the simulated world” > “tens of thousands of robots in the real world, to close the simulation to reality gap.” Why? There’s two big differences between the way Tesla will train humanoid robots and the way it built Full Self-Driving. - FSD only requires learning three degrees of freedom: turning, accelerating, braking … and a humanoid robot has to learn how to coordinate 50+ joints. - You can sell a Tesla without FSD, which allows you to collect the millions and millions of hours of driving data needed to bootstrap your model ... but you can’t sell an Optimus that hasn’t learned how to do stuff yet. The Optimus Academy is Elon’s attempt to build the data flywheel that Tesla got for free with FSD.
2:10

.Elon Musk told me he plans to build “Optimus Academy” to train an army of humanoid robots. > “millions of simulated robots in the simulated world” > “tens of thousands of robots in the real world, to close the simulation to reality gap.” Why? There’s two big differences between the way Tesla will train humanoid robots and the way it built Full Self-Driving. - FSD only requires learning three degrees of freedom: turning, accelerating, braking … and a humanoid robot has to learn how to coordinate 50+ joints. - You can sell a Tesla without FSD, which allows you to collect the millions and millions of hours of driving data needed to bootstrap your model ... but you can’t sell an Optimus that hasn’t learned how to do stuff yet. The Optimus Academy is Elon’s attempt to build the data flywheel that Tesla got for free with FSD.

Dwarkesh Patel

563,730 görüntüleme • 7 ay önce

ELON MUSK: "My prediction is that there'll be far more robots, like intelligent robots, in the world than there will be people, and I think this is most likely to be a good thing, we always want to be a little paranoid, or certainly not complacent about the safety of robots, but I think it will usher in an age of not universal basic income, but universal high income."
0:34

ELON MUSK: "My prediction is that there'll be far more robots, like intelligent robots, in the world than there will be people, and I think this is most likely to be a good thing, we always want to be a little paranoid, or certainly not complacent about the safety of robots, but I think it will usher in an age of not universal basic income, but universal high income."

DogeDesigner

69,743 görüntüleme • 4 ay önce

🚨 Is the timeline for physical AGI shrinking? Speaking on the The All-In Podcast with @jason 1X CEO Bernt Børnich dropped a massive prediction: we are less than a decade away from a physical AI "hard takeoff." His personal bet? Just 3 years. What his 3-year hard takeoff actually looks like: ▪️ Robots manufacturing robots ▪️ Autonomous chip fabs & data centers ▪️ Self-sufficient mining & refining ▪️ A true abundance of physical labor 1X's strategy to get there relies on an open ecosystem and training the NEO humanoid on internet-scale video.
0:53

🚨 Is the timeline for physical AGI shrinking? Speaking on the The All-In Podcast with @jason 1X CEO Bernt Børnich dropped a massive prediction: we are less than a decade away from a physical AI "hard takeoff." His personal bet? Just 3 years. What his 3-year hard takeoff actually looks like: ▪️ Robots manufacturing robots ▪️ Autonomous chip fabs & data centers ▪️ Self-sufficient mining & refining ▪️ A true abundance of physical labor 1X's strategy to get there relies on an open ecosystem and training the NEO humanoid on internet-scale video.

Humanoids daily

19,106 görüntüleme • 1 ay önce

Elon Musk: “When you make the robots, the robots will start manufacturing the robots, so you get a recursive effect It starts off very slowly, but then it grows at an explosive rate” “10 years from now, I would say there are well over a billion humanoid robots" "And those robots will be at least five times the output of a human And this is a conservative estimate" Meaning: • 1+ billion humanoid robots •~5× human productivity per robot • More combined output than all humans on Earth
1:02

Elon Musk: “When you make the robots, the robots will start manufacturing the robots, so you get a recursive effect It starts off very slowly, but then it grows at an explosive rate” “10 years from now, I would say there are well over a billion humanoid robots" "And those robots will be at least five times the output of a human And this is a conservative estimate" Meaning: • 1+ billion humanoid robots •~5× human productivity per robot • More combined output than all humans on Earth

X Freeze

82,212 görüntüleme • 26 gün önce

Elon Musk revealed the 3 hardest challenges for humanoid robots and how Tesla is solving them There are really only three hard things for humanoid robots: - Real-world intelligence - ⁠The hand and - ⁠Scale manufacturing "I haven’t seen any demo robots that have a great hand with all the degrees of freedom of a human hand. But Optimus does have that" To reach human-level dexterity, Tesla had to design custom actuators, motors, gears, power electronics, controls, and sensors, everything from physics first principles There is no supply chain for this "From an electromechanical standpoint, the hand is more difficult than everything else combined. The human hand turns out to be quite something" This is why Optimus is on a completely different level. Tesla is solving the hardest problems from the ground up
0:55

Elon Musk revealed the 3 hardest challenges for humanoid robots and how Tesla is solving them There are really only three hard things for humanoid robots: - Real-world intelligence - ⁠The hand and - ⁠Scale manufacturing "I haven’t seen any demo robots that have a great hand with all the degrees of freedom of a human hand. But Optimus does have that" To reach human-level dexterity, Tesla had to design custom actuators, motors, gears, power electronics, controls, and sensors, everything from physics first principles There is no supply chain for this "From an electromechanical standpoint, the hand is more difficult than everything else combined. The human hand turns out to be quite something" This is why Optimus is on a completely different level. Tesla is solving the hardest problems from the ground up

X Freeze

20,796 görüntüleme • 6 ay önce

BCV Partner Aaref Hilaly breaks down the difference between a pre-AGI and post-AGI world: "The difference between pre- and post-AGI is, we go from being intelligence poor to intelligence abundant." "With pre-AGI we saw agents do amazing things like writing code, solving customer support tickets, etc." "With post-AGI there's going to be new capabilities that humans can't even imagine." "We'll see robots doing the cleaning, we'll have new drugs that AI will find to cure cancer or other diseases, we'll have simulation platforms so that people can make better decisions and be better at interacting with each other."
1:19

BCV Partner Aaref Hilaly breaks down the difference between a pre-AGI and post-AGI world: "The difference between pre- and post-AGI is, we go from being intelligence poor to intelligence abundant." "With pre-AGI we saw agents do amazing things like writing code, solving customer support tickets, etc." "With post-AGI there's going to be new capabilities that humans can't even imagine." "We'll see robots doing the cleaning, we'll have new drugs that AI will find to cure cancer or other diseases, we'll have simulation platforms so that people can make better decisions and be better at interacting with each other."

TBPN

31,065 görüntüleme • 10 gün önce

1/7 Physical AI has a data problem. More compute alone won’t teach a robot how to move, grasp, react, or recover from mistakes. LLMs had the entire internet to learn from. Robots need something different: huge amounts of real action data. That’s where Axis Robotics gets interesting. $AXIS is building a data engine for Physical AI, turning robot training into something people can contribute to directly through a browser. The loop is straightforward: Generate → Collect → Process → Deploy → Correct → Repeat. What looks simple on the surface could become something much bigger underneath: a scalable way to produce the training data robots need to become genuinely useful in the physical world. The real unlock for Physical AI might not be another bigger model. It might be better data.
1:10

1/7 Physical AI has a data problem. More compute alone won’t teach a robot how to move, grasp, react, or recover from mistakes. LLMs had the entire internet to learn from. Robots need something different: huge amounts of real action data. That’s where Axis Robotics gets interesting. $AXIS is building a data engine for Physical AI, turning robot training into something people can contribute to directly through a browser. The loop is straightforward: Generate → Collect → Process → Deploy → Correct → Repeat. What looks simple on the surface could become something much bigger underneath: a scalable way to produce the training data robots need to become genuinely useful in the physical world. The real unlock for Physical AI might not be another bigger model. It might be better data.

_Victorad

19,657 görüntüleme • 1 ay önce

Elon Musk: The robots are not the scary part. The scary part is AGI. “The robots are not the scary part. The scary part is AGI, digital superintelligence that far exceeds human intelligence. If there's a digital superintelligence that is just vastly smarter than the smartest human, we could lose control of it, and then it could do something bad. Potentially. These things are just probabilities; they're not certainties. It's not the robots; it's the digital superintelligence to be concerned about.” Source: Interview with The Babylon Bee, December 22, 2021
0:33

Elon Musk: The robots are not the scary part. The scary part is AGI. “The robots are not the scary part. The scary part is AGI, digital superintelligence that far exceeds human intelligence. If there's a digital superintelligence that is just vastly smarter than the smartest human, we could lose control of it, and then it could do something bad. Potentially. These things are just probabilities; they're not certainties. It's not the robots; it's the digital superintelligence to be concerned about.” Source: Interview with The Babylon Bee, December 22, 2021

ELON CLIPS

46,739 görüntüleme • 3 ay önce

Japan Shimizu Corporation is testing humanoid robots on live construction sites. Start with basic patrols… An upgraded Unitree H1 humanoid, equipped with a handheld camera, is autonomously patrolling the Torch Tower site at 1.0 m/s. It perceives the environment in real time, follows designated routes, and they plan to use multimodal LLMs to analyze footage for better site management. Long-term, Shimizu aims to build a construction-focused Physical AI ecosystem--covering data collection, simulation, model training, and deployment. The goal is to transfer skilled workers’ expertise to humanoids and tackle labor shortages. the first real step toward physical AGI is simply stepping into the real world.
0:50

Japan Shimizu Corporation is testing humanoid robots on live construction sites. Start with basic patrols… An upgraded Unitree H1 humanoid, equipped with a handheld camera, is autonomously patrolling the Torch Tower site at 1.0 m/s. It perceives the environment in real time, follows designated routes, and they plan to use multimodal LLMs to analyze footage for better site management. Long-term, Shimizu aims to build a construction-focused Physical AI ecosystem--covering data collection, simulation, model training, and deployment. The goal is to transfer skilled workers’ expertise to humanoids and tackle labor shortages. the first real step toward physical AGI is simply stepping into the real world.

CyberRobo

72,338 görüntüleme • 2 ay önce

As robotics teams scale, collecting real-world data can quickly become slow and expensive. 📉 Lightwheel is changing that with a simulation-first platform built on our technology, helping customers generate a 100:1 simulated-to-real data ratio for training autonomous systems. Together, we’re turning synthetic and real data into more capable, more reliable robots. Read the full success story 🔗
0:47

As robotics teams scale, collecting real-world data can quickly become slow and expensive. 📉 Lightwheel is changing that with a simulation-first platform built on our technology, helping customers generate a 100:1 simulated-to-real data ratio for training autonomous systems. Together, we’re turning synthetic and real data into more capable, more reliable robots. Read the full success story 🔗

NVIDIA Robotics

10,840 görüntüleme • 5 ay önce

Elon Musk: There's an 80%-90% chance AI will usher humanity into a phase of extreme prosperity. “In 10 years, AI can probably do almost anything better than a human cognitively. Based on the current rate of improvement, AI will be smarter than the smartest human. There will also be a massive number of robots, ultimately billions of humanoid robots. All cars will be self-driving. Goods and services will become close to free. Tens of billions of robots will make you anything or provide any service you want for basically next to nothing. People will actually have a much higher standard of living. The challenge will be how do you derive fulfillment and meaning in life? [An AI Apocalypse] is 20% likely, maybe 10%, but you can look at it in this way: The glass is 80% to 90% full—meaning it's 80% likely we will have extreme prosperity for all.” Verdict with Ted Cruz, March 17, 2025
2:34

Elon Musk: There's an 80%-90% chance AI will usher humanity into a phase of extreme prosperity. “In 10 years, AI can probably do almost anything better than a human cognitively. Based on the current rate of improvement, AI will be smarter than the smartest human. There will also be a massive number of robots, ultimately billions of humanoid robots. All cars will be self-driving. Goods and services will become close to free. Tens of billions of robots will make you anything or provide any service you want for basically next to nothing. People will actually have a much higher standard of living. The challenge will be how do you derive fulfillment and meaning in life? [An AI Apocalypse] is 20% likely, maybe 10%, but you can look at it in this way: The glass is 80% to 90% full—meaning it's 80% likely we will have extreme prosperity for all.” Verdict with Ted Cruz, March 17, 2025

ELON CLIPS

457,431 görüntüleme • 1 yıl önce

"You can't just think your way into an advantage." Balaji Srinivasan on why AGI may be embodied: "Every drone, every self-driving car, every humanoid pulls in all that [sensory] data. They actually can have a world model." "The very Abrahamic western concept of a single AGI that will tell us what to do might have been plausible three years ago—I don't think it's really that plausible now." "AGI is gated by the physical world." Balaji on Network State Podcast
1:01

"You can't just think your way into an advantage." Balaji Srinivasan on why AGI may be embodied: "Every drone, every self-driving car, every humanoid pulls in all that [sensory] data. They actually can have a world model." "The very Abrahamic western concept of a single AGI that will tell us what to do might have been plausible three years ago—I don't think it's really that plausible now." "AGI is gated by the physical world." Balaji on Network State Podcast

a16z

57,311 görüntüleme • 7 ay önce