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Nvidia's Jim Fan: We're training robots in a simulation that accelerates physics by 10,000x. The robots undergo 1 year of intense training in a virtual “dojo”, but take only ~50 minutes of wall clock time. Those who still remember Dragonball Z will recognize the room where a few minutes...

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Chubby♨️

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1,187,412 görüntüleme • 1 yıl önce •via X (Twitter)

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Prinz Eugen, der edle Ritter profil fotoğrafı
Prinz Eugen, der edle Ritter1 yıl önce

Nvidia is a robotics company now. Few have noticed.

Chubby♨️ profil fotoğrafı
Chubby♨️1 yıl önce

Yes, they know how much of an important sector this

Page to Pixel Publishing profil fotoğrafı
Page to Pixel Publishing2 yıl önce

The Art of Flight is a homage to 80s/90s arcade action shmups with a fresh twist on the genre. Pilot multiple ships at the same time to take on oncoming waves of enemies in this fast paced space shooter. Wishlist on Steam today!

Emir Karabeg 🇧🇦 profil fotoğrafı
Emir Karabeg 🇧🇦1 yıl önce

This is also how Naruto trains with shadow clones - each clone’s experience feeds back into his training

build things that build things profil fotoğrafı
build things that build things1 yıl önce

What this will accomplish at scale is insane

Doug profil fotoğrafı
Doug1 yıl önce

That's fine, but they will break when something goes wrong. Let's say I have one make me an omlet and think of everything that can go wrong - an egg is already cracked in the case, a piece of eggshell falls on the bowl, the gas stove won't light, etc. Those things will stop them dead.

Chubby♨️ profil fotoğrafı
Chubby♨️1 yıl önce

you really think that?

Sam Controlman profil fotoğrafı
Sam Controlman1 yıl önce

I wonder if they become conscious how would they sense time? It would be virtually eternity for them

Selim Candar profil fotoğrafı
Selim Candar1 yıl önce

Do they also use a transformer model to train robots for everyday tasks?

Harshit profil fotoğrafı
Harshit1 yıl önce

Hyperbolic Time Chamber 😍

LMT ⚡️ profil fotoğrafı
LMT ⚡️1 yıl önce

The first time I saw Unitree one-shot a robot dog - from walking on a ball in simulation - to doing it in real life, I immediately reconsidered my Tesla Optimus investment thesis.

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this is the result of endless hours of shooting stationary bots in training room, only one in a mei-llion can achieve this performance
0:26

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this is the result of endless hours of shooting stationary bots in training room, only one in a mei-llion can achieve this performance

Laky

251,123 görüntüleme • 2 ay önce

svt is telling us that they’re proud of their music combinations (classic and tech) but, they emphasize that the real maestro, who gives “command” in music is HUMAN! [EXPLANATION — 1] watch the clip where after wonjun fighting the human robots, maestro hoshi got captured jeonghan then made those human robots flew away and svt taking over the stage (previously occupied by robots) • the human robot soldiers get a notice “moving too fast”. this shows that human, are more capable than tech/robots (in this case, artistry) • notice that the dancers using robotic hands, shows the tech is a “tool” to help human, but the control is still in human itself
0:38

svt is telling us that they’re proud of their music combinations (classic and tech) but, they emphasize that the real maestro, who gives “command” in music is HUMAN! [EXPLANATION — 1] watch the clip where after wonjun fighting the human robots, maestro hoshi got captured jeonghan then made those human robots flew away and svt taking over the stage (previously occupied by robots) • the human robot soldiers get a notice “moving too fast”. this shows that human, are more capable than tech/robots (in this case, artistry) • notice that the dancers using robotic hands, shows the tech is a “tool” to help human, but the control is still in human itself

nuesvtws

899,799 görüntüleme • 2 yıl 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 • 5 ay önce

This is why Tesla Optimus is going to be life’s “infinite money glitch” and people that understand this are going to make so much $, I don’t think $ will have a meaning when this is happening at scale. “I call Optimus the infinite money glitch. Humanoid robots will be three things that are growing exponentially multiplied by each other recursively. You are going to have exponential increase in digital intelligence, exponential increase in AI Chip capability, and exponential increase in electronic mechanical dexterity. The usefulness of the robot is roughly these three things multiplied by each other. Then the robots can start making the robots, so you have a recursive multiplicable exponential. This is Super Nova.”
0:43

This is why Tesla Optimus is going to be life’s “infinite money glitch” and people that understand this are going to make so much $, I don’t think $ will have a meaning when this is happening at scale. “I call Optimus the infinite money glitch. Humanoid robots will be three things that are growing exponentially multiplied by each other recursively. You are going to have exponential increase in digital intelligence, exponential increase in AI Chip capability, and exponential increase in electronic mechanical dexterity. The usefulness of the robot is roughly these three things multiplied by each other. Then the robots can start making the robots, so you have a recursive multiplicable exponential. This is Super Nova.”

Teslaconomics

157,852 görüntüleme • 5 ay önce

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”
2:16

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”

TBPN

18,811 görüntüleme • 1 yıl önce

Elon Musk says Optimus is the infinite money glitch. Not because robots are valuable. Because robots can make more robots. Musk explained that humanoid robots improve through three exponential trends multiplied together: digital intelligence, AI chip capability, and electromechanical dexterity. But the real unlock is that the robot can start making the robots. "So you have a recursive multiplicative exponential," he said. "This is a supernova." Musk's thesis is that once you have a physical robot capable of manufacturing, the production curve stops being linear and becomes self-replicating. Every robot built accelerates the building of the next one. The implication is that the companies that control physical manufacturing will control AI's future, not the ones with the best models. The bottleneck is not intelligence. It is atoms.
2:07

Elon Musk says Optimus is the infinite money glitch. Not because robots are valuable. Because robots can make more robots. Musk explained that humanoid robots improve through three exponential trends multiplied together: digital intelligence, AI chip capability, and electromechanical dexterity. But the real unlock is that the robot can start making the robots. "So you have a recursive multiplicative exponential," he said. "This is a supernova." Musk's thesis is that once you have a physical robot capable of manufacturing, the production curve stops being linear and becomes self-replicating. Every robot built accelerates the building of the next one. The implication is that the companies that control physical manufacturing will control AI's future, not the ones with the best models. The bottleneck is not intelligence. It is atoms.

Shruti

58,755 görüntüleme • 27 gün önce

Elon Musk on why Optimus robot is a infinite money glitch: “Humanoid robots will be three things that are growing exponentially multiplied by each other recursively. You are going to have exponential increase in digital intelligence, in AI Chip capability, and electromechanical dexterity. The usefulness is roughly these three things multiplied by each other, then the robots can start making the robots— then you have a recursive multiplicable exponential. This is Super Nova.”
0:45

Elon Musk on why Optimus robot is a infinite money glitch: “Humanoid robots will be three things that are growing exponentially multiplied by each other recursively. You are going to have exponential increase in digital intelligence, in AI Chip capability, and electromechanical dexterity. The usefulness is roughly these three things multiplied by each other, then the robots can start making the robots— then you have a recursive multiplicable exponential. This is Super Nova.”

Nic Cruz Patane

20,997 görüntüleme • 5 ay önce

Nearly 500 young men who will be part of the Somali National Army, SNA deployed from Beledweyne town in hiran region #Somalia today to undergo training at a training camps in Somalia, Somalia's govt is preparing to take full control of the country's security
0:20

Nearly 500 young men who will be part of the Somali National Army, SNA deployed from Beledweyne town in hiran region #Somalia today to undergo training at a training camps in Somalia, Somalia's govt is preparing to take full control of the country's security

Bashir Hashi Yussuf

22,477 görüntüleme • 5 ay önce

Elon Musk: I call Optimus the "infinite money glitch" because you can use them to make more Optimuses Humanoid robots will improve as there will basically be three things growing exponentially, multiplied by each other recursively You have an exponential increase in digital intelligence, an exponential increase in AI chip capability, and an exponential increase in electromechanical dexterity The usefulness of the robot is roughly those three things multiplied by each other. But then, the robot can start making the robot, so you have a recursive, multiplicative exponential. This is supernova"
0:45

Elon Musk: I call Optimus the "infinite money glitch" because you can use them to make more Optimuses Humanoid robots will improve as there will basically be three things growing exponentially, multiplied by each other recursively You have an exponential increase in digital intelligence, an exponential increase in AI chip capability, and an exponential increase in electromechanical dexterity The usefulness of the robot is roughly those three things multiplied by each other. But then, the robot can start making the robot, so you have a recursive, multiplicative exponential. This is supernova"

X Freeze

17,582 görüntüleme • 5 ay önce

Elon Musk in new interview on how Tesla’s Optimus robot will learn more quickly: "What we're going to need to do is build a lot of robots and put them in a kind of like a "Optimus Academy" so they can do self-play in reality. We're actually building that out. We're gonna have at least 10,000 Optimus robots, maybe 20,000 or 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 things for the robots, and actually have done that for the robots. You can do millions of simulated robots in a simulated world, and you use the tens of thousands in the real world to close the simulation to reality gap.”
0:59

Elon Musk in new interview on how Tesla’s Optimus robot will learn more quickly: "What we're going to need to do is build a lot of robots and put them in a kind of like a "Optimus Academy" so they can do self-play in reality. We're actually building that out. We're gonna have at least 10,000 Optimus robots, maybe 20,000 or 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 things for the robots, and actually have done that for the robots. You can do millions of simulated robots in a simulated world, and you use the tens of thousands in the real world to close the simulation to reality gap.”

Sawyer Merritt

250,956 görüntüleme • 5 ay önce

2. NVIDIA is building the GPT of humanoid robots. They just launched Isaac GR00T N1.5 - a foundation model for general purpose robotics. Here’s how it works: → A human demos the task once → Cosmos (their physics AI model) generates 1,000s of variations → Omniverse simulates the motions in high fidelity → The robot trains entirely in simulation → Then fine-tunes itself in the real world Robots can now learn general skills across tasks, tools, even body types with just one human demo. AI isn’t just thinking in text anymore. It’s perceiving. Reasoning. Moving. Physical AI is here and it’s training itself.
2:21

2. NVIDIA is building the GPT of humanoid robots. They just launched Isaac GR00T N1.5 - a foundation model for general purpose robotics. Here’s how it works: → A human demos the task once → Cosmos (their physics AI model) generates 1,000s of variations → Omniverse simulates the motions in high fidelity → The robot trains entirely in simulation → Then fine-tunes itself in the real world Robots can now learn general skills across tasks, tools, even body types with just one human demo. AI isn’t just thinking in text anymore. It’s perceiving. Reasoning. Moving. Physical AI is here and it’s training itself.

Shruti

70,359 görüntüleme • 1 yıl önce

China’s first humanoid training base, established by the National Humanoid Robot Innovation Center, began operations yesterday. “The training base is essentially a factory that produces data,” said Jiang Lei, chief scientist of the innovation center. The 50k sq. ft. training hub will launch with over a dozen tasks involving 100 robots from more than 10 companies and institutions, including AGIBOT and Fourier. The data gathered here will eventually be available to companies developing embodied AI models. By 2027, the Shanghai facility aims to scale to support 1,000 robots under training.
0:39

China’s first humanoid training base, established by the National Humanoid Robot Innovation Center, began operations yesterday. “The training base is essentially a factory that produces data,” said Jiang Lei, chief scientist of the innovation center. The 50k sq. ft. training hub will launch with over a dozen tasks involving 100 robots from more than 10 companies and institutions, including AGIBOT and Fourier. The data gathered here will eventually be available to companies developing embodied AI models. By 2027, the Shanghai facility aims to scale to support 1,000 robots under training.

The Humanoid Hub

93,446 görüntüleme • 1 yıl önce